#4 by GitHub stars

NousResearch/hermes-agent

The agent that grows with you

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

View weekly changes

optional-skills/autonomous-ai-agents/agent-merge-conflict-arbiter/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/autonomous-ai-agents/antigravity-cli/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/autonomous-ai-agents/blackbox/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/autonomous-ai-agents/dynamic-workflow/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/autonomous-ai-agents/grok/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/autonomous-ai-agents/honcho/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Local scripts

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/autonomous-ai-agents/opencode/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → e8639fd4312e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/autonomous-ai-agents/openhands/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/blockchain/evm/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/blockchain/hyperliquid/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/blockchain/solana/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/communication/one-three-one-rule/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/ai-presenter-video/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/anatomy/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/archify/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/ascii-art/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/audiocraft-audio-generation/SKILL.md

Week of Nov 2, 2026 · +0 / −569 lines

Before Network or broad shell → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/auteur/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/baoyu-article-illustrator/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/baoyu-comic/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/brag/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/brag-slim/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/comfyui/SKILL.md

Week of Nov 2, 2026 · +0 / −1 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/concept-diagrams/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/creative-ideation/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/design-md/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → e8639fd4312e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/draw-your-font/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/dream-loop/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/excalidraw/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/heartmula/SKILL.md

Week of Nov 2, 2026 · +1 / −1 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/hyperframes/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/impeccable/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/ip-as-logo/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/kanban-video-orchestrator/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/meme-generation/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/mono-color/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/pixel-art/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/pretext/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/simple-english/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/sketch/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/social-media-content-calendar/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/system-atlas/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/tldraw-offline/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/creative/unreal-mcp/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/data-science/jupyter-notebook/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/devops/actual-setup/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/devops/docker-management/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/devops/hermes-s6-container-supervision/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/devops/inference-sh-cli/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/devops/pinggy-tunnel/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/devops/setup-wizard-generator/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/devops/watchers/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/dogfood/adversarial-ux-test/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/email/agentmail/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/3-statement-model/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/comps-analysis/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/dcf-model/SKILL.md

Week of Nov 2, 2026 · +9 / −9 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/excel-author/SKILL.md

Week of Nov 2, 2026 · +34 / −3 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/lbo-model/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/merger-model/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/polymarket/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/pptx-author/SKILL.md

Week of Nov 2, 2026 · +37 / −6 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/finance/stocks/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/gaming/minecraft-modpack-server/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/gaming/pokemon-player/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/health/fitness-nutrition/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/health/neuroskill-bci/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mcp/fastmcp/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mcp/mcp-oauth-remote-gateway/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mcp/mcporter/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/media/gif-search/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → e8639fd4312e

No earlier version was observed for comparison.

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optional-skills/media/songsee/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → e8639fd4312e

No earlier version was observed for comparison.

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optional-skills/mlops/accelerate/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/chroma/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

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Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/clip/SKILL.md

Week of Nov 2, 2026 · +0 / −257 lines

Before Instructions only → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/evaluation/evaluating-llms-harness/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/evaluation/weights-and-biases/SKILL.md

Week of Nov 2, 2026 · +0 / −598 lines

Before Instructions only → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/faiss/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/flash-attention/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/guidance/SKILL.md

Week of Nov 2, 2026 · +0 / −580 lines

Before Network or broad shell → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/huggingface-tokenizers/SKILL.md

Week of Nov 2, 2026 · +0 / −520 lines

Before Instructions only → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/inference/llama-cpp/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/inference/outlines/SKILL.md

Week of Nov 2, 2026 · +0 / −662 lines

Before Network or broad shell → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/inference/serving-llms-vllm/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/instructor/SKILL.md

Week of Nov 2, 2026 · +0 / −744 lines

Before Instructions only → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/lambda-labs/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/llava/SKILL.md

Week of Nov 2, 2026 · +0 / −308 lines

Before Instructions only → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/modal/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/models/huggingface-hub/SKILL.md

Week of Nov 2, 2026 · +0 / −81 lines

Before Network or broad shell → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/models/segment-anything-model/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/nemo-curator/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/obliteratus/SKILL.md

Week of Nov 2, 2026 · +1 / −1 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/peft/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/pinecone/SKILL.md

Week of Nov 2, 2026 · +0 / −381 lines

Before Instructions only → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/pytorch-fsdp/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/pytorch-lightning/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/qdrant/SKILL.md

Week of Nov 2, 2026 · +0 / −505 lines

Before Network or broad shell → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/research/dspy/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/saelens/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/simpo/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/slime/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/stable-diffusion/SKILL.md

Week of Nov 2, 2026 · +0 / −523 lines

Before Network or broad shell → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/tensorrt-llm/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/torchtitan/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/training/axolotl/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/training/trl-fine-tuning/SKILL.md

Week of Nov 2, 2026 · +0 / −498 lines

Before Local scripts → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/training/unsloth/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/mlops/whisper/SKILL.md

Week of Nov 2, 2026 · +0 / −321 lines

Before Network or broad shell → After Not checked yet

0b8bf3bdab6e → e8639fd4312e

SKILL.md was removed.

This preview is limited. See the complete change on GitHub.

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/payments/mpp-agent/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/payments/stripe-link-cli/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Local scripts

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/payments/stripe-projects/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/airtable/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → e8639fd4312e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/box/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → e8639fd4312e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/canvas/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/decision-questionnaire/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Instructions only

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/here-now/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/live-dashboard/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/memento-flashcards/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

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Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/notion/SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → e8639fd4312e

No earlier version was observed for comparison.

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optional-skills/productivity/property-listings/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Instructions only → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/shop/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/shopify/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/siyuan/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/productivity/telephony/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/research/bioinformatics/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/research/blogwatcher/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/research/darwinian-evolver/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Local scripts → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Local scripts

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/research/domain-intel/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/research/drug-discovery/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

Compare on GitHub

optional-skills/research/duckduckgo-search/SKILL.md

Week of Nov 2, 2026 · +0 / −0 lines

Before Network or broad shell → After Network or broad shell

0b8bf3bdab6e → e8639fd4312e

Compare on GitHub

Week of Oct 26, 2026 · Line counts unavailable

Before Not checked yet → After Network or broad shell

First observation → 0b8bf3bdab6e

No earlier version was observed for comparison.

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optional-skills/research/gitnexus-explorer/SKILL.md

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optional-skills/research/llm-wiki/SKILL.md

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optional-skills/research/osint-investigation/SKILL.md

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optional-skills/research/parallel-cli/SKILL.md

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optional-skills/research/pinecone-research/SKILL.md

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optional-skills/research/qmd/SKILL.md

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optional-skills/research/research-paper-writing/SKILL.md

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optional-skills/research/rss-feeds/SKILL.md

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optional-skills/research/scrapling/SKILL.md

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optional-skills/research/searxng-search/SKILL.md

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optional-skills/security/1password/SKILL.md

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optional-skills/security/godmode/SKILL.md

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optional-skills/security/oss-forensics/SKILL.md

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optional-skills/security/sherlock/SKILL.md

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optional-skills/security/unbroker/SKILL.md

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optional-skills/security/web-pentest/SKILL.md

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optional-skills/smart-home/openhue/SKILL.md

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optional-skills/social-media/reddit-reading/SKILL.md

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optional-skills/software-development/ast-grep/SKILL.md

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optional-skills/software-development/code-wiki/SKILL.md

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optional-skills/software-development/grill-me/SKILL.md

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optional-skills/software-development/hermes-agent-skill-authoring/SKILL.md

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optional-skills/software-development/inspecting-hermes-desktop-dom/SKILL.md

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optional-skills/software-development/node-inspect-debugger/SKILL.md

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optional-skills/software-development/pr-lens/SKILL.md

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optional-skills/software-development/python-debugpy/SKILL.md

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optional-skills/software-development/rest-graphql-debug/SKILL.md

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optional-skills/software-development/subagent-driven-development/SKILL.md

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optional-skills/web-development/cloudflare-temporary-deploy/SKILL.md

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optional-skills/web-development/har-derived-api-client/SKILL.md

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optional-skills/web-development/page-agent/SKILL.md

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optional-skills/web-development/publish-site/SKILL.md

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optional-skills/web-development/scrollcraft/SKILL.md

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optional-skills/yuanbao/SKILL.md

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plugins/google_meet/SKILL.md

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skills/apple/apple-notes/SKILL.md

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skills/apple/apple-reminders/SKILL.md

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skills/apple/findmy/SKILL.md

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skills/apple/imessage/SKILL.md

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skills/autonomous-ai-agents/claude-code/SKILL.md

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skills/autonomous-ai-agents/codex/SKILL.md

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skills/autonomous-ai-agents/computer-use/SKILL.md

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skills/autonomous-ai-agents/hermes-agent/SKILL.md

Week of Nov 2, 2026 · +23 / −9 lines

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skills/autonomous-ai-agents/opencode/SKILL.md

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skills/creative/architecture-diagram/SKILL.md

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skills/creative/ascii-video/SKILL.md

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skills/creative/baoyu-infographic/SKILL.md

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skills/creative/claude-design/SKILL.md

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skills/creative/design-md/SKILL.md

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skills/creative/humanizer/SKILL.md

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skills/creative/manim-video/SKILL.md

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skills/creative/p5js/SKILL.md

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skills/creative/popular-web-designs/SKILL.md

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skills/creative/songwriting-and-ai-music/SKILL.md

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skills/devops/sdlc-review/SKILL.md

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skills/email/email-inbox-triage/SKILL.md

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skills/email/himalaya/SKILL.md

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skills/media/gif-search/SKILL.md

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skills/media/songsee/SKILL.md

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skills/media/youtube-content/SKILL.md

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skills/note-taking/obsidian/SKILL.md

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skills/productivity/airtable/SKILL.md

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- 1 ---
- 2 name: airtable
- 3 description: Airtable REST API via curl. Records CRUD, filters, upserts.
- 4 version: 1.1.0
- 5 author: community
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 prerequisites:
- 9   env_vars: [AIRTABLE_API_KEY]
- 10   commands: [curl]
- 11 metadata:
- 12   hermes:
- 13     tags: [Airtable, Productivity, Database, API]
- 14     homepage: https://airtable.com/developers/web/api/introduction
- 15 ---
- 16 
- 17 # Airtable — Bases, Tables & Records
- 18 
- 19 Work with Airtable's REST API directly via `curl` using the `terminal` tool. No MCP server, no OAuth flow, no Python SDK — just `curl` and a personal access token.
- 20 
- 21 ## Prerequisites
- 22 
- 23 1. Create a **Personal Access Token (PAT)** at https://airtable.com/create/tokens (tokens start with `pat...`).
- 24 2. Grant these scopes (minimum):
- 25    - `data.records:read` — read rows
- 26    - `data.records:write` — create / update / delete rows
- 27    - `schema.bases:read` — list bases and tables

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skills/productivity/box/SKILL.md

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- 1 ---
- 2 name: box
- 3 description: Box manages cloud files, sharing, search, and metadata.
- 4 version: 1.0.0
- 5 author: Chris Kim (iskysun96), Hermes Agent
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 prerequisites:
- 9   commands: [box]
- 10 metadata:
- 11   hermes:
- 12     tags: [Box, Productivity, Cloud Storage, Collaboration, Metadata, Content Extraction, CLI, SDK]
- 13     related_skills: [google-workspace]
- 14     homepage: https://developer.box.com/
- 15 ---
- 16 
- 17 # Box
- 18 
- 19 Use Box as the cloud file system for file operations, collaboration, metadata, and document work. Run operations with Hermes' `terminal` tool and use the Box CLI; use the SDK guide when building an application.
- 20 
- 21 ## When to Use
- 22 
- 23 - Organizing, uploading, versioning, moving, sharing, or collaborating on Box files and folders
- 24 - Searching Box content or existing metadata
- 25 - Asking questions about Box files, extracting metadata, or generating text grounded in a file
- 26 - Processing a Box folder at scale without downloading every source file
- 27 - Building a Box-backed application, integration, or webhook handler
- 28 
- 29 ## Start broad file-system conversations
- 30 
- 31 When someone is exploring a cloud file system for Hermes, first give a short fit assessment: Box is useful when a team needs cloud file storage, sharing, search, metadata, and document work. Then ask whether they want to connect a Box account with OAuth or build a Box-backed application or integration with an SDK.
- 32 
- 33 OAuth makes Hermes act as the Box account authorized in the browser. That account's Box permissions determine what Hermes can access. To give Hermes narrower access, authorize an account that is invited only to the required files, folders, or Hubs.
- 34 
- 35 Do not run setup, show a command cookbook, propose account plans or folder taxonomies, or load every reference for a broad exploratory question. Wait for the user's answer, then load only the relevant path. When a request already names a concrete outcome, skip this discovery step and handle that outcome directly.
- 36 
- 37 Start normal CLI work with the official Box CLI OAuth app. It covers ordinary content work and Box AI. Use a custom **User Authentication (OAuth 2.0)** Platform App only when the requested operation needs an additional OAuth scope, such as webhook management. This remains an OAuth flow; do not substitute a server-side or impersonation identity.
- 38 
- 39 ## Perform chosen setup interactively
- 40 
- 41 When a user selects an authentication path or asks Hermes to connect Box, perform the setup through `terminal`; do not turn the next response into instructions for the user to copy. Take the next safe action yourself, and pause only for an approval, browser sign-in, administrator action, or secret that Hermes cannot safely supply.
- 42 
- 43 - If `box` is missing, ask for any terminal approval required to install `@box/cli` under the current Hermes home at `tools/box-cli`; then verify it with the shell-appropriate command in [CLI guide](references/cli-guide.md). Do not attempt a global npm install, use `sudo`, change npm's global prefix, or change `PATH`.
- 44 - Before OAuth, ask: **“Is Hermes running on the same computer as the browser you will use to authorize Box, or on a remote host such as a VPS, container, or cloud VM?”** Use normal `box login` only for the same-computer path. Use `box login --code` only for the remote/headless path. Do not infer runtime topology from the operating system alone; read [OAuth setup](references/oauth-setup.md) after the user answers.
- 45 - Before starting browser authorization, state that Hermes will act as the Box account signed in there. If the user wants narrower access, they can authorize an account that is invited only to the required files, folders, or Hubs. Do not make that account an administrator to unlock an exceptional operation.
- 46 - If a custom OAuth Platform App is necessary, use the CLI's interactive Platform App flow. Ask the user to enter its client secret only in the local CLI prompt; never request it in chat, write it to Hermes configuration, or commit it.
- 47 - If an install, browser authorization, environment switch, or permission change needs approval, request that approval and resume the setup after it is granted. Do not replace the action with a command list.
- 48 
- 49 ## Start each task
- 50 
- 51 1. Confirm the CLI and current actor. Probe with `command -v box` on POSIX shells or `Get-Command box -ErrorAction SilentlyContinue` in PowerShell. If `box` is on `PATH`, use it. If Hermes installed the CLI under its current home, use the shell-appropriate verified runner in [CLI guide](references/cli-guide.md) in place of every leading `box`. Then run `box users:get me --json --fields id,name,login` with that runner.
- 52    If this succeeds, record the actor and continue. Do not ask about authentication again. Treat `folders:items 0` only as a listing of the actor's root; it is not proof that a shared file, folder, or Hub is inaccessible. For a known file or folder, verify its ID directly; for a Hub, use the Hubs discovery path in [Box Hubs](references/hubs.md).
- 53 2. If authentication is absent, ask to connect a Box account with OAuth, then ask whether Hermes and the authorization browser run on the same computer or on separate hosts. Read [OAuth setup](references/oauth-setup.md).
- 54 3. Read the relevant reference before operating. Use documented commands first; only run subcommand help when the request needs an option not covered by the reference or the installed CLI rejects the documented form.
- 55 
- 56 Examples labeled `bash` use POSIX continuation syntax. In PowerShell, run the Box command on one line or replace each trailing `\` with PowerShell's backtick continuation. Do not paste POSIX variable assignments into PowerShell.
- 57 
- 58 ## Extend the CLI without pausing
- 59 
- 60 When the Box CLI lacks a dedicated subcommand, use `box request` for the matching REST endpoint and continue the ordinary operation. Do not ask the user to choose merely because the implementation uses REST; it is the same Box task and preserves the configured CLI identity. Read [REST API fallback](references/rest-api.md) when the endpoint needs a request body or custom header.
- 61 
- 62 Ask before a delete, a collaboration/shared-link or permission change, an identity change, a broad or costly batch mutation, or when the target or scope is ambiguous. Otherwise perform the requested operation and verify it.
- 63 
- 64 ## Choose the right path
- 65 
- 66 | Need | Read |
- 67 | --- | --- |
- 68 | CLI conventions, environments, JSON, or REST escape hatch | [CLI guide](references/cli-guide.md) |
- 69 | Files, folders, versions, links, or collaborations | [Content workflows](references/content-workflows.md) |
- 70 | Search, metadata, Box AI, or AI units | [Search and AI](references/search-and-ai.md) |
- 71 | Curated large-scale Q&A or a reusable knowledge base | [Box Hubs](references/hubs.md) |
- 72 | Many files or a resumable batch | [Bulk operations](references/bulk-operations.md) |
- 73 | Application code or a Box SDK | [SDK development](references/sdk-development.md) |
- 74 | Webhooks or Events API | [Webhooks and events](references/webhooks-and-events.md) |
- 75 | CLI unavailable or a missing CLI operation | [REST API fallback](references/rest-api.md) |
- 76 | Auth, permissions, rate limits, or API errors | [Troubleshooting](references/troubleshooting.md) |
- 77 
- 78 ## Content handling policy
- 79 
- 80 For semantic analysis of Box-hosted content, prefer Box AI: it preserves Box permissions, processes source files through Box's governed AI integration, keeps source-file bodies out of Hermes' coding-model context, and scales document work without downloading every file. Do not criticize or block another workflow; use it when the user explicitly chooses it.
- 81 
- 82 Use existing Box metadata or metadata queries for deterministic lookups. Otherwise use Box AI:
- 83 
- 84 - `ai:ask` for Q&A, summaries, and comparisons
- 85 - `ai:extract-structured` for known fields or metadata templates
- 86 - `ai:extract` for flexible key-value extraction
- 87 - `ai:text-gen` for writing grounded in one Box file
- 88 
- 89 For Q&A over more than 25 files or a reusable curated knowledge base, prefer Box AI for Hubs. Discover an existing accessible Hub first; only create or populate one after the user approves the shared-resource change. If no Hub is available and the user does not want one created, narrow a one-off request with search or metadata. Do not use a Hub for metadata extraction or text generation. Read [Box Hubs](references/hubs.md).
- 90 
- 91 When the user asks to extract metadata from a Box file, treat it as a request to persist the result unless they ask for a preview. Use structured extraction with inline fields when the desired schema is known and freeform extraction when the fields are exploratory. Reuse a compatible existing enterprise template when one represents every requested field. Otherwise store flat scalar results in the built-in `global.properties` metadata instance, or upload a JSON sidecar beside the source file when the result contains nested objects, tables, or values that must retain their types. Read every write back and compare it with the intended result. Never silently substitute a file description, attach a partial or unrelated template, truncate fields, or discard fields.
- 92 
- 93 Do not create or change metadata templates. Box does not permit creation of global templates, and enterprise-template administration is outside Hermes' normal OAuth content workflow. If the user needs reusable typed enterprise metadata and no compatible template exists, explain that a Box Admin or authorized Co-Admin must create it separately, leave existing structured metadata unchanged, and report the persisted `global.properties` instance or JSON sidecar instead. Read [Search and AI](references/search-and-ai.md) for the complete extraction and writeback workflow.
- 94 
- 95 Before the first Box AI request, state that Box AI must be enabled, consumes AI units, and remains limited to the current actor's permissions; do not wait for acknowledgement. An AI response returned to Hermes can still contain sensitive information. Confirm only when a material batch's file scope or expected AI-unit use is ambiguous, or when the user has not explicitly requested that scale. See [Search and AI](references/search-and-ai.md).
- 96 
- 97 ## Operate safely
- 98 
- 99 - Prefer IDs to paths and verify the current actor before diagnosing a missing file.
- 100 - Use `--json` and `--fields` to keep output small. For mutations, inventory first, confirm ambiguous or large scope, then read back the result.
- 101 - Run ordered CLI mutations serially so progress and recovery are unambiguous. Use documented bulk input support or bounded SDK concurrency for scalable work.
- 102 - Do not create a shared link merely to provide navigation. Shared links change access and require explicit confirmation.
- 103 - Do not put secrets in chat, command output, source control, or logs.
- 104 
- 105 ## Report results
- 106 
- 107 For every individually reported Box item, include its ID and a clickable navigation link:
- 108 
- 109 - File: `https://app.box.com/file/<FILE_ID>`
- 110 - Folder: `https://app.box.com/folder/<FOLDER_ID>`
- 111 - Hub: `https://app.box.com/hubs/<HUB_ID>`
- 112 
- 113 For large batches, link the source and destination folders plus exceptions instead of listing hundreds of items. A human may not be able to open content that is only visible to the connected Box account; state that clearly. Include the actor and verification performed in every write summary.
- 114 
- 115 ## Verify
- 116 
- 117 After any write, fetch the file or folder with the same actor or list its parent and confirm the returned ID and name. For a metadata write, retrieve the metadata instance and compare every returned field with the intended value; an HTTP success alone is not verification. Report missing, normalized, or rejected values. For a disposable setup check, create a smoke folder, verify it, then delete it only if the user authorized cleanup.

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skills/productivity/document-to-action-items/SKILL.md

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- 11     related_skills: [pdf, pdf, docx, notion]
+ 11     related_skills: [pdf, microsoft-office, notion]
- 16 Turn documents into cited facts and proposed actions. Extraction is not legal advice, and low-confidence OCR or ambiguous language must remain visible. The `pdf` / `pdf` / `docx` skills own extraction mechanics; this skill owns what happens to the extracted content.
+ 16 Turn documents into cited facts and proposed actions. Extraction is not legal advice, and low-confidence OCR or ambiguous language must remain visible. The `pdf` and `microsoft-office` skills own extraction mechanics; this skill owns what happens to the extracted content.

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skills/productivity/docx/SKILL.md

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- 1 ---
- 2 name: docx
- 3 description: Create, read, edit, template, and review Word .docx files.
- 4 version: 1.1.0
- 5 author: Nous Research
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 metadata:
- 9   hermes:
- 10     tags: [word, docx, documents, office, templates, revisions, comments]
- 11     category: productivity
- 12     related_skills: [pdf, xlsx, powerpoint]
- 13 ---
- 14 
- 15 # Docx Skill
- 16 
- 17 Create, read, edit, and template Microsoft Word `.docx` files with
- 18 python-docx via small CLIs. It handles text, styles, lists, tables,
- 19 images, headers/footers, `{{token}}` templating, tracked changes
- 20 (list/accept/reject), comments (list/add/delete), TOC and page-number
- 21 fields, and package health checks. It does not render documents itself
- 22 (PDF needs LibreOffice — see Converting to PDF) or edit legacy `.doc`.
- 23 
- 24 ## When to Use
- 25 
- 26 - The user asks to generate a Word document (report, letter, contract).
- 27 - You need the text, outline, styles, or embedded images of a `.docx`.
- 28 - You must change an existing `.docx`: replace text, edit table cells,
- 29   insert/delete paragraphs, apply styles, merge fragmented runs.
- 30 - You have a `.docx` template with `{{placeholders}}` to fill from data.
- 31 - The document has tracked changes to review, accept, or reject.
- 32 - You need to read reviewers' comments, or add/delete comments.
- 33 - A `.docx` won't open or behaves oddly and you need corruption triage.
- 34 - The document needs a table of contents or "Page X of Y" footers.
- 35 - Not for: `.doc` (legacy), `.odt`, or WYSIWYG layout work.
- 36 
- 37 ## Prerequisites
- 38 
- 39 - Python 3.10+ with `python-docx` installed:
- 40   `pip install python-docx` (import name is `docx`; lxml comes with it).
- 41 - Comments `add` uses the native API on python-docx >= 1.2 and an XML
- 42   fallback on older versions — both are automatic.
- 43 - For image blocks: the image files must exist locally (PNG/JPEG).
- 44 
- 45 ## How to Run
- 46 
- 47 All helpers live in `scripts/` next to this file. Run them with the
- 48 `terminal` tool; each supports `--help` and prints JSON to stdout.
- 49 
- 50 ```bash
- 51 python scripts/docx_create.py spec.json out.docx
- 52 python scripts/docx_read.py out.docx --text
- 53 python scripts/docx_edit.py replace out.docx --find old --replace new
- 54 python scripts/docx_template.py tpl.docx values.json filled.docx
- 55 python scripts/docx_revisions.py list out.docx
- 56 python scripts/docx_comments.py list out.docx
- 57 python scripts/docx_validate.py out.docx
- 58 ```
- 59 
- 60 ## Quick Reference
- 61 
- 62 | Task | Command |
- 63 | --- | --- |
- 64 | Create from JSON spec | `docx_create.py spec.json out.docx` |
- 65 | Full text (body+tables+headers/footers) | `docx_read.py f.docx --text` |
- 66 | Heading outline + table shapes | `docx_read.py f.docx --structure` |
- 67 | Styles actually used | `docx_read.py f.docx --styles` |
- 68 | Extract embedded images | `docx_read.py f.docx --images outdir/` |
- 69 | Detect tracked changes/comments | `docx_read.py f.docx --revisions` |
- 70 | Find/replace (formatting kept) | `docx_edit.py replace f.docx --find A --replace B -o out.docx` |
- 71 | Set a table cell | `docx_edit.py set-cell f.docx --table 0 --row 1 --col 2 --text X` |
- 72 | Insert paragraph before index N | `docx_edit.py insert f.docx --index N --text X --style Normal` |
- 73 | Delete paragraph N | `docx_edit.py delete f.docx --index N` |
- 74 | Apply style to paragraph N | `docx_edit.py style f.docx --index N --style "Heading 1"` |
- 75 | Merge equal-format adjacent runs | `docx_edit.py normalize f.docx -o out.docx` |
- 76 | Insert TOC field before para N | `docx_edit.py toc f.docx --index N -o out.docx` |
- 77 | "Page X of Y" footer fields | `docx_edit.py page-numbers f.docx` |
- 78 | Fill `{{tokens}}` | `docx_template.py tpl.docx values.json out.docx --strict` |
- 79 | List revisions (id/author/date/text) | `docx_revisions.py list f.docx` |
- 80 | Accept / reject all revisions | `docx_revisions.py accept-all f.docx -o out.docx` (or `reject-all`) |
- 81 | Accept / reject one revision | `docx_revisions.py accept f.docx --id 3 -o out.docx` |
- 82 | List comments (+anchored text) | `docx_comments.py list f.docx` |
- 83 | Add comment anchored to text | `docx_comments.py add f.docx --target "phrase" --text "note" --author You` |
- 84 | Delete comment by id | `docx_comments.py delete f.docx --id 0` |
- 85 | Health-check the package | `docx_validate.py f.docx` (exit 1 on errors) |
- 86 
- 87 ## Procedure
- 88 
- 89 1. **Create.** Write a JSON spec with `write_file`, then run
- 90    `scripts/docx_create.py`. The spec supports: `page` (size + margins in
- 91    mm), `header`/`footer` strings, `footer_page_numbers` (adds a
- 92    "Page X of Y" field footer), `styles` (custom paragraph styles with
- 93    font, size, bold/italic, hex `color`), and `blocks` — `heading`
- 94    (level 1-9), `paragraph` (either `text` or a `runs` list where each run
- 95    may set `bold`/`italic`/`underline`), `bullet_list`, `numbered_list`,
- 96    `table` (`header` row rendered bold, `rows`, optional built-in table
- 97    `style` such as `Table Grid`), `image` (`path`, optional `width_mm`),
- 98    `toc` (Table of Contents field), and `page_break`. The full spec
- 99    format is documented at the top of `scripts/docx_create.py`.
- 100 2. **Read.** Use `scripts/docx_read.py` with exactly one mode flag.
- 101    `--text` returns body paragraphs, all table cell text, and
- 102    header/footer text as JSON. `--structure` returns the heading outline
- 103    plus paragraph/table/section counts. `--images DIR` copies every file
- 104    under `word/media/` out of the package.
- 105 3. **Edit.** Use `scripts/docx_edit.py`. `replace` walks body, tables
- 106    (nested included), headers and footers, and preserves run formatting;
- 107    add `--body-only` to skip headers/footers. Pass `-o out.docx` to keep
- 108    the original; omit it to edit in place. Paragraph indices for
- 109    `insert`/`delete`/`style`/`toc` refer to `--structure`/`--text` body
- 110    order. Run `normalize` first on documents that came out of heavy Word
- 111    editing — it merges adjacent runs with identical formatting so later
- 112    find-replace matches reliably.
- 113 4. **Review revisions.** `docx_revisions.py list` reports every `w:ins`
- 114    and `w:del` (id, author, date, affected text) anywhere in body,
- 115    tables, headers, or footers. `accept-all` / `reject-all` resolve them
- 116    in bulk; `accept`/`reject --id N` handles a single revision. Accept
- 117    keeps insertions and drops deleted text; reject does the reverse.
- 118 5. **Comments.** `docx_comments.py list` returns each comment's id,
- 119    author, date, body text, and the document text it is anchored to.
- 120    `add --target "some phrase"` anchors a new comment to the first

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skills/productivity/google-workspace/SKILL.md

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skills/productivity/maps/SKILL.md

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skills/productivity/meeting-action-items/SKILL.md

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skills/productivity/microsoft-office/SKILL.md

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skills/productivity/notion/SKILL.md

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- 1 ---
- 2 name: notion
- 3 description: "Notion API + ntn CLI: pages, databases, markdown, Workers."
- 4 version: 2.0.0
- 5 author: community
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 prerequisites:
- 9   env_vars: [NOTION_API_KEY]
- 10 metadata:
- 11   hermes:
- 12     tags: [Notion, Productivity, Notes, Database, API, CLI, Workers]
- 13     homepage: https://developers.notion.com
- 14 ---
- 15 
- 16 # Notion
- 17 
- 18 Talk to Notion two ways. Same integration token works for both — pick by what's available.
- 19 
- 20 ◆ **`ntn` CLI** — Notion's official CLI. Shorter syntax, one-line file uploads, required for Workers. macOS + Linux only as of May 2026 (Windows support "coming soon"). **Default when installed.**
- 21 ◆ **HTTP + curl** — works everywhere including Windows. **Default fallback** when `ntn` isn't installed.
- 22 
- 23 ## Setup
- 24 
- 25 ### 1. Get an integration token (required for both paths)
- 26 
- 27 1. Create an integration at https://notion.so/my-integrations
- 28 2. Copy the API key (starts with `ntn_` or `secret_`)
- 29 3. Store in `${HERMES_HOME:-~/.hermes}/.env`:
- 30    ```
- 31 [credential-like text hidden]
- 32    ```
- 33 4. **Share target pages/databases with the integration** in Notion: page menu `...` → `Connect to` → your integration name. Without this, the API returns 404 for that page even though it exists.
- 34 
- 35 ### 2. Install `ntn` (preferred path on macOS / Linux)
- 36 
- 37 ```bash
- 38 # Recommended
- 39 curl -fsSL https://ntn.dev | bash
- 40 
- 41 # Or via npm (needs Node 22+, npm 10+)
- 42 npm install --global ntn
- 43 
- 44 ntn --version    # verify
- 45 ```
- 46 
- 47 **Skip `ntn login` — use the integration token instead.** This works headlessly, no browser needed:
- 48 ```bash
- 49 [credential-like text hidden]
- 50 export NOTION_KEYRING=0                       # don't try to use the OS keychain
- 51 ```
- 52 
- 53 Add those exports to your shell profile (or to `${HERMES_HOME:-~/.hermes}/.env`) so every session inherits them.
- 54 
- 55 ### 3. Choose path at runtime
- 56 
- 57 ```bash
- 58 if command -v ntn >/dev/null 2>&1; then
- 59   # use ntn
- 60 else
- 61   # fall back to curl
- 62 fi
- 63 ```
- 64 
- 65 Windows users: skip step 2 entirely until native `ntn` ships — Path B works fine. If you want CLI ergonomics now, install `ntn` inside WSL2.
- 66 
- 67 ## API Basics
- 68 
- 69 `Notion-Version: 2025-09-03` is required on all HTTP requests. `ntn` handles this for you. In this version, what users call "databases" are called **data sources** in the API.
- 70 
- 71 ## Path A — `ntn` CLI (preferred, macOS / Linux)
- 72 
- 73 ### Raw API calls (shorthand for curl)
- 74 ```bash
- 75 ntn api v1/users                                  # GET
- 76 # POST with inline body
- 77 ntn api v1/pages parent[page_id]=abc123 \
- 78   properties[title][0][text][content]="Notes"
- 79 ntn api v1/pages/abc123 -X PATCH archived:=true   # PATCH; := is non-string (bool/num/null)
- 80 ```
- 81 
- 82 Syntax notes:
- 83 - `key=value` — string fields
- 84 - `key[nested]=value` — nested object fields
- 85 - `key:=value` — typed assignment (booleans, numbers, null, arrays)
- 86 
- 87 ### Search
- 88 ```bash
- 89 ntn api v1/search query="page title"
- 90 ```
- 91 
- 92 ### Read page metadata
- 93 ```bash
- 94 ntn api v1/pages/{page_id}
- 95 ```
- 96 
- 97 ### Read page as Markdown (agent-friendly)
- 98 ```bash
- 99 ntn api v1/pages/{page_id}/markdown
- 100 ```
- 101 
- 102 ### Read page content as blocks
- 103 ```bash
- 104 ntn api v1/blocks/{page_id}/children
- 105 ```
- 106 
- 107 ### Create page from Markdown
- 108 ```bash
- 109 ntn api v1/pages \
- 110   parent[page_id]=xxx \
- 111   properties[title][0][text][content]="Notes from meeting" \
- 112   markdown="# Agenda
- 113 
- 114 - Q3 roadmap
- 115 - Hiring"
- 116 ```
- 117 
- 118 ### Patch a page with Markdown
- 119 ```bash
- 120 ntn api v1/pages/{page_id}/markdown -X PATCH \

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skills/productivity/pdf/SKILL.md

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- 12     related_skills: [docx, xlsx, powerpoint]
+ 12     related_skills: [microsoft-office]
- 34 - Python 3.10+ with `pypdf`, `reportlab`, `pdfplumber`:
- 35   `python -m pip install pypdf reportlab pdfplumber`
- 36 - Optional, for page rasterization (`pdf_page_image.py`, overlay rendering): `python -m pip install pypdfium2`, or poppler's `pdftoppm` on PATH. Scripts fall back pypdfium2 → pdftoppm and report `{"rendered": false, "missing": [...]}` (exit 0) when neither exists.
+ 34 - Python 3.10+ with `pypdf`, `reportlab`, `pdfplumber`.
+ 35 - Pick the interpreter with `terminal`. Use `python` when it already imports
+ 36   the libraries (the Hermes Docker image ships them). Otherwise, when `hermes`
+ 37   is on PATH, let Hermes build its shared, pinned documents environment under
+ 38   the Hermes home: it survives container restarts, never touches the Hermes
+ 39   install itself, and is safe to run from several agents at once. When it is
+ 40   not (the terminal runs in a Docker sandbox, which has no Hermes), the block
+ 41   builds a venv in the sandbox home with the same pinned versions. Use this
+ 42   exact block in every document skill so they all share one environment:
+ 43 
+ 44   ```bash
+ 45   python -c "import pypdf, reportlab, pdfplumber" 2>/dev/null && PY=python || if command -v hermes >/dev/null 2>&1; then
+ 46     PY="$(hermes pm environment documents --extra documents --extra documents-pdf)"
+ 47   else
+ 48     PY="$HOME/.cache/hermes-docs-venv/bin/python"
+ 49     "$PY" -c "import docx, openpyxl, pptx, reportlab, pypdf, pdfplumber, pypdfium2" 2>/dev/null || (
+ 50       # Safe to run from several agents at once: each caller builds a private venv,
+ 51       # a symlink publishes the first finished one atomically, the others delete theirs;
+ 52       # a published build is replaced and deleted only while it still fails to import.
+ 53       mkdir -p "$HOME/.cache" && cd "$HOME/.cache" && stage="$(mktemp -d hermes-docs-venv.XXXXXX)" || exit 1
+ 54       old="$(readlink hermes-docs-venv)"  # the published build, if any (another agent may have just published it)
+ 55       python3 -m venv "$stage" &&
+ 56         "$stage/bin/python" -m pip install -q --disable-pip-version-check python-docx==1.2.0 openpyxl==3.1.5 python-pptx==1.0.2 reportlab==5.1.0 pypdf==6.21.2 pdfplumber==0.11.10 pypdfium2==5.14.0 &&
+ 57         "$stage/bin/python" -c "import docx, openpyxl, pptx, reportlab, pypdf, pdfplumber, pypdfium2" &&
+ 58         if [ -z "$old" ]; then python3 -c 'import os, sys; os.symlink(*sys.argv[1:])' "$stage" hermes-docs-venv
+ 59         elif [ "$(readlink hermes-docs-venv)" = "$old" ] && ! "$old/bin/python" -c "import docx, openpyxl, pptx, reportlab, pypdf, pdfplumber, pypdfium2" 2>/dev/null; then
+ 60           ln -s "$stage" "$stage.lnk" && python3 -c 'import os, sys; os.replace(*sys.argv[1:])' "$stage.lnk" hermes-docs-venv &&
+ 61             case "$old" in hermes-docs-venv.??????) rm -rf "$old" ;; esac
+ 62         fi 2>/dev/null
+ 63       [ "$(readlink hermes-docs-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"
+ 64     )
+ 65   fi
+ 66   export PY
+ 67   "$PY" scripts/pdf_create.py --help
+ 68   ```
+ 69 
+ 70   Run every helper below with `"$PY"`. In PowerShell (Hermes runs on that
+ 71   host, so it is on PATH):
+ 72   `$env:PY = hermes pm environment documents --extra documents --extra documents-pdf`.
+ 73   Never `pip install` into the interpreter that runs Hermes or into the
+ 74   `hermes pm environment` one; Hermes owns both.
+ 75 - Page rasterization (`pdf_page_image.py`, overlay rendering) uses `pypdfium2`, which the documents environment already has (if your `python` lacks it, switch `PY` to that environment with the command above), or poppler's `pdftoppm` on PATH. Scripts fall back pypdfium2 → pdftoppm and report `{"rendered": false, "missing": [...]}` (exit 0) when neither exists.

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skills/productivity/powerpoint/SKILL.md

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- 1 ---
- 2 name: powerpoint
- 3 description: Create, read, edit .pptx decks with python-pptx.
- 4 version: 1.1.0
- 5 author: Nous Research
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 metadata:
- 9   hermes:
- 10     tags: [pptx, powerpoint, presentations, slides, office, python-pptx]
- 11     category: productivity
- 12     related_skills: [docx, xlsx, pdf]
- 13 ---
- 14 
- 15 # Powerpoint Skill
- 16 
- 17 Create, inspect, and edit PowerPoint (.pptx) presentations using the
- 18 python-pptx library. Five helper scripts cover deck creation from a JSON
- 19 spec, structured read-back, in-place edits, template-driven brand decks,
- 20 and slide rendering — all offline, no PowerPoint installation required.
- 21 
- 22 ## When to Use
- 23 
- 24 - The user asks to build a slide deck, report presentation, or pitch deck.
- 25 - You need to extract text, notes, tables, chart data, or images from a
- 26   .pptx someone shared.
- 27 - You need to update an existing deck: replace text, refresh or patch
- 28   chart data, swap a logo, duplicate/remove/reorder slides, set
- 29   backgrounds, footers, hyperlinks, or speaker notes.
- 30 - You must produce an on-brand deck from a company .pptx template.
- 31 - Do NOT use this for .ppt (legacy binary) files — convert them first with
- 32   `soffice --convert-to pptx old.ppt` if LibreOffice is available.
- 33 
- 34 ## Prerequisites
- 35 
- 36 - Python 3.10+ with `python-pptx` installed
- 37   (`pip install python-pptx`).
- 38 - Optional: LibreOffice (`soffice`) plus poppler (`pdftoppm` or
- 39   `pdftocairo`) for rendering slides to PNGs and for PDF export.
- 40   `pptx_render.py` detects both with `shutil.which` and degrades
- 41   gracefully (reports `{"rendered": false, "missing": [...]}`, exit 0)
- 42   when absent — all create/read/edit operations work without them.
- 43 - Check availability via `terminal`:
- 44   `python -c "import pptx; print(pptx.__version__)"` and `which soffice pdftoppm`.
- 45 
- 46 ## How to Run
- 47 
- 48 All scripts live in `scripts/`, take `--help`, print JSON to stdout, and
- 49 exit non-zero on failure. Run them with `terminal`:
- 50 
- 51 ```bash
- 52 python scripts/pptx_create.py deck.json out.pptx
- 53 python scripts/pptx_read.py deck.pptx --outline      # full JSON outline
- 54 python scripts/pptx_read.py deck.pptx --notes        # speaker notes
- 55 python scripts/pptx_read.py deck.pptx --images ./img # export pictures
- 56 python scripts/pptx_edit.py deck.pptx --replace-text "Old Corp" "New Corp"
- 57 python scripts/pptx_edit.py deck.pptx --chart-data update.json
- 58 python scripts/pptx_edit.py deck.pptx --duplicate-slide 2
- 59 python scripts/pptx_edit.py deck.pptx --remove-slide 3 --move-slide 2 0
- 60 python scripts/pptx_from_template.py brand.pptx out.pptx --values vals.json
- 61 python scripts/pptx_render.py deck.pptx --outdir ./render  # slide PNGs
- 62 ```
- 63 
- 64 Author JSON specs with `write_file`; inspect script output and generated
- 65 JSON with `read_file`.
- 66 
- 67 ## Quick Reference
- 68 
- 69 | Task | Command |
- 70 |---|---|
- 71 | New deck from spec | `pptx_create.py spec.json out.pptx` |
- 72 | 16:9 vs 4:3 | `"slide_size": "16:9"` or `"4:3"` in the spec |
- 73 | Outline as JSON | `pptx_read.py deck.pptx --outline` |
- 74 | Export images | `pptx_read.py deck.pptx --images DIR` |
- 75 | Replace text | `pptx_edit.py deck.pptx --replace-text OLD NEW` |
- 76 | Replace chart data | `pptx_edit.py deck.pptx --chart-data spec.json` |
- 77 | Patch one series | same flag, spec with `"ops"` (see below) |
- 78 | Swap picture | `pptx_edit.py deck.pptx --swap-image N NAME new.png` |
- 79 | Duplicate slide | `pptx_edit.py deck.pptx --duplicate-slide N` |
- 80 | Remove slide | `pptx_edit.py deck.pptx --remove-slide N` |
- 81 | Reorder slide | `pptx_edit.py deck.pptx --move-slide FROM TO` |
- 82 | Slide background | `pptx_edit.py deck.pptx --set-background N RRGGBB` |
- 83 | Hyperlink runs | `pptx_edit.py deck.pptx --hyperlink N TEXT URL` |
- 84 | Slide number on | `pptx_edit.py deck.pptx --enable-slide-number N` |
- 85 | Footer text | `pptx_edit.py deck.pptx --set-footer N TEXT` |
- 86 | Set notes | `pptx_edit.py deck.pptx --set-notes N TEXT` |
- 87 | Append notes | `pptx_edit.py deck.pptx --append-notes N TEXT` |
- 88 | Fill template | `pptx_from_template.py tpl.pptx out.pptx --values v.json` |
- 89 | Render slide PNGs | `pptx_render.py deck.pptx --outdir DIR` |
- 90 
- 91 ## Procedure
- 92 
- 93 ### 1. Create a deck
- 94 
- 95 Write a JSON spec (see `pptx_create.py --help` for the full format), then
- 96 run `pptx_create.py`. Per slide you can set: `layout` (title,
- 97 title_content, section, two_content, title_only, blank), `title`,
- 98 `subtitle`, `bullets` (strings, or dicts with `level` 0-4, `size` pt,
- 99 `bold`, `italic`, `font`, `color` hex, `link` URL for a hyperlink),
- 100 `background` (solid hex), `footer` (text; enables the layout's footer
- 101 placeholder), `slide_number` (true; enables the layout's slide-number
- 102 placeholder), `images` (path + left/top/width/height in inches), `tables`
- 103 (`rows` as list-of-lists), `shapes` (rectangle, rounded_rectangle, oval,
- 104 diamond, right_arrow, chevron, with `fill` hex + optional `text`),
- 105 `charts` (bar, bar_h, line, pie with `categories` + `series`), and
- 106 `notes` (speaker notes).
- 107 
- 108 ### 2. Read a deck
- 109 
- 110 `pptx_read.py deck.pptx --outline` returns slide size, layout inventory,
- 111 and per slide: layout name, all shape texts, table cells, image inventory
- 112 (filename/ext/bytes), chart categories/series/values, and speaker notes.
- 113 Use `--images DIR` to dump embedded pictures to files, then
- 114 `vision_analyze` on any exported image if you need to see its content.
- 115 
- 116 ### 3. Edit a deck
- 117 
- 118 `pptx_edit.py` combines operations in one pass; use `--output` to keep the
- 119 original. Text replacement scans slide shapes, table cells, and notes.
- 120 Image swap retargets the picture's relationship id so position and size

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skills/productivity/product-price-monitor/SKILL.md

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skills/productivity/teams-meeting-pipeline/SKILL.md

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skills/productivity/weekly-review-planning/SKILL.md

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skills/productivity/xlsx/SKILL.md

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- 1 ---
- 2 name: xlsx
- 3 description: Create, read, edit Excel .xlsx workbooks and CSVs.
- 4 version: 1.1.0
- 5 author: Nous Research
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 metadata:
- 9   hermes:
- 10     tags: [excel, spreadsheet, xlsx, csv, openpyxl, productivity]
- 11     category: productivity
- 12     related_skills: [docx, pdf, powerpoint]
- 13 ---
- 14 
- 15 # Xlsx Skill
- 16 
- 17 Work with Excel .xlsx workbooks using Python and openpyxl: build styled
- 18 multi-sheet workbooks with formulas and charts, inspect or dump existing
- 19 files, edit cells and structure, and convert to/from CSV. All helper
- 20 scripts are argparse CLIs that print JSON and use explicit UTF-8 I/O.
- 21 
- 22 ## When to Use
- 23 
- 24 - Creating .xlsx reports: multiple sheets, number formats, styling,
- 25   merged cells, freeze panes, autofilter, conditional formatting,
- 26   charts, data-validation dropdowns, native Excel tables, defined
- 27   names, hyperlinks, cell notes, sheet protection.
- 28 - Reading a workbook: sheet inventory, dumping data as JSON or CSV,
- 29   listing formulas vs cached values, notes, defined names, tables.
- 30 - Editing existing files: set cells, append rows, insert/delete
- 31   rows/columns (reference-aware via `xlsx_restructure.py`),
- 32   copy/rename sheets, tables, names, notes, protection.
- 33 - Recalculating formulas headlessly via LibreOffice
- 34   (`xlsx_recalc.py`).
- 35 - CSV interop with type inference and non-UTF-8 encodings.
- 36 - Not for the legacy .xls binary format (use LibreOffice to convert
- 37   first: `soffice --headless --convert-to xlsx old.xls`).
- 38 
- 39 ## Prerequisites
- 40 
- 41 - Python 3.10+ with `openpyxl` (`pip install openpyxl`). No other
- 42   third-party packages are needed; everything else is stdlib.
- 43 - Optional: LibreOffice (`soffice`) for headless recalculation or
- 44   format conversion.
- 45 
- 46 ## How to Run
- 47 
- 48 Run the helper scripts with the `terminal` tool from this skill's
- 49 `scripts/` directory (every script supports `--help`):
- 50 
- 51 ```bash
- 52 python scripts/xlsx_create.py spec.json report.xlsx   # build from JSON spec
- 53 python scripts/xlsx_read.py report.xlsx --sheets      # inventory
- 54 python scripts/xlsx_read.py report.xlsx --json --sheet Data
- 55 python scripts/xlsx_read.py report.xlsx --formulas
- 56 python scripts/xlsx_edit.py report.xlsx --sheet Data --set B2=42 --recalc
- 57 python scripts/xlsx_restructure.py report.xlsx --sheet Data --insert-rows 3:2
- 58 python scripts/xlsx_recalc.py report.xlsx
- 59 python scripts/csv_to_xlsx.py data.csv out.xlsx --encoding utf-8
- 60 python scripts/xlsx_to_csv.py report.xlsx out.csv --sheet Data
- 61 ```
- 62 
- 63 Author the JSON spec with `write_file`, inspect script JSON output with
- 64 `read_file` or directly from stdout.
- 65 
- 66 ## Quick Reference
- 67 
- 68 | Task | Command |
- 69 |---|---|
- 70 | Create workbook from spec | `xlsx_create.py spec.json out.xlsx` |
- 71 | Sheet names + dimensions | `xlsx_read.py f.xlsx --sheets` |
- 72 | Dump sheet as JSON | `xlsx_read.py f.xlsx --json --sheet S` |
- 73 | Dump sheet as CSV | `xlsx_read.py f.xlsx --csv --out d.csv` |
- 74 | List formulas + cached values | `xlsx_read.py f.xlsx --formulas` |
- 75 | Set a cell / formula | `xlsx_edit.py f.xlsx --set "A1==SUM(B:B)"` |
- 76 | Append a row | `xlsx_edit.py f.xlsx --append '[1,"x",true]'` |
- 77 | Insert 2 rows, refs NOT shifted | `xlsx_edit.py f.xlsx --insert-rows 3:2` |
- 78 | Insert 2 rows, refs shifted | `xlsx_restructure.py f.xlsx --insert-rows 3:2` |
- 79 | Delete a column, refs shifted | `xlsx_restructure.py f.xlsx --delete-cols B` |
- 80 | Create a native table | `xlsx_edit.py f.xlsx --add-table Sales:A1:C9` |
- 81 | Append inside a table | `--table-append 'Sales=["West",5]'` |
- 82 | List tables | `xlsx_edit.py f.xlsx --list-tables` |
- 83 | Defined names | `--define-name "Rates='Data'!$B$2:$B$9"` / `--delete-name Rates` / `xlsx_read.py f.xlsx --names` |
- 84 | Hyperlink | `--hyperlink "A1=https://example.com|Docs"` |
- 85 | Cell note | `--note "B2=Check this|Reviewer"`; read via `xlsx_read.py f.xlsx --notes` |
- 86 | Protect sheet (see Pitfalls) | `--protect your-password --unlock B2:B9` |
- 87 | Recalculate via LibreOffice | `xlsx_recalc.py f.xlsx` |
- 88 | Copy / rename sheet | `--copy-sheet Src:New --rename-sheet Old:New` |
- 89 | Force recalc on open | `xlsx_edit.py f.xlsx --recalc` |
- 90 | CSV -> styled xlsx | `csv_to_xlsx.py in.csv out.xlsx` |
- 91 | xlsx -> CSV | `xlsx_to_csv.py f.xlsx out.csv --encoding utf-8` |
- 92 
- 93 ## Procedure
- 94 
- 95 1. **Create**: write a JSON spec (schema documented in
- 96    `xlsx_create.py --help` and its docstring). Each sheet supports
- 97    `rows` (scalars or styled cell objects), sparse `cells` overrides,
- 98    `column_widths`, `row_heights`, `merges`, `freeze_panes`,
- 99    `autofilter`, `conditional_formats` (cell_is rules and color
- 100    scales), `charts` (bar/line/pie from cell ranges),
- 101    `validations` (list dropdowns), `tables` (native Excel tables with
- 102    a style name), and `protection`. Workbook-level `defined_names`
- 103    maps names to refs. Cell objects also take `hyperlink` and `note`.
- 104    Typed values: JSON numbers/bools
- 105    pass through; dates use `{"value": "2026-01-31", "type": "date"}`.
- 106    Number formats are Excel format strings: currency `"$#,##0.00"`,
- 107    percent `"0.0%"`, date `"yyyy-mm-dd"`.
- 108 2. **Formulas**: set with `"formula": "SUM(B2:B9)"` in the spec or
- 109    `--set "C1==SUM(A:A)"` in the editor. When writing formulas, add
- 110    `"full_calc_on_load": true` (spec) or `--recalc` (editor); this sets
- 111    the workbook's `fullCalcOnLoad` flag so Excel/LibreOffice recompute
- 112    everything on open. openpyxl itself NEVER evaluates formulas.
- 113 3. **Read**: `--sheets` for inventory (names, dimensions, merged
- 114    ranges, chart count, tables, protection, defined names),
- 115    `--json`/`--csv` for data, `--formulas` to
- 116    pair each formula string with its cached result, `--notes` for
- 117    cell comments, `--names` for defined names. Cached results
- 118    exist only if the file was last saved by a real spreadsheet app;
- 119    files fresh from openpyxl return `null` there. To materialize
- 120    results headlessly run `xlsx_recalc.py file.xlsx` (uses

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skills/research/competitor-news-monitor/SKILL.md

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skills/research/grounded-citations/SKILL.md

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skills/research/llm-wiki/SKILL.md

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- 1 ---
- 2 name: llm-wiki
- 3 description: "Karpathy's LLM Wiki: build/query interlinked markdown KB."
- 4 version: 2.1.0
- 5 author: Hermes Agent
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 metadata:
- 9   hermes:
- 10     tags: [wiki, knowledge-base, research, notes, markdown, rag-alternative]
- 11     category: research
- 12     related_skills: [obsidian, arxiv]
- 13 ---
- 14 
- 15 # Karpathy's LLM Wiki
- 16 
- 17 Build and maintain a persistent, compounding knowledge base as interlinked markdown files.
- 18 Based on [Andrej Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f).
- 19 
- 20 Unlike traditional RAG (which rediscovers knowledge from scratch per query), the wiki
- 21 compiles knowledge once and keeps it current. Cross-references are already there.
- 22 Contradictions have already been flagged. Synthesis reflects everything ingested.
- 23 
- 24 **Division of labor:** The human curates sources and directs analysis. The agent
- 25 summarizes, cross-references, files, and maintains consistency.
- 26 
- 27 ## When This Skill Activates
- 28 
- 29 Use this skill when the user:
- 30 - Asks to create, build, or start a wiki or knowledge base
- 31 - Asks to ingest, add, or process a source into their wiki
- 32 - Asks a question and an existing wiki is present at the configured path
- 33 - Asks to lint, audit, or health-check their wiki
- 34 - References their wiki, knowledge base, or "notes" in a research context
- 35 
- 36 ## Wiki Location
- 37 
- 38 **Location:** Set via `WIKI_PATH` environment variable (e.g. in `${HERMES_HOME:-~/.hermes}/.env`).
- 39 
- 40 If unset, defaults to `~/wiki`.
- 41 
- 42 ```bash
- 43 WIKI="${WIKI_PATH:-$HOME/wiki}"
- 44 ```
- 45 
- 46 The wiki is just a directory of markdown files — open it in Obsidian, VS Code, or
- 47 any editor. No database, no special tooling required.
- 48 
- 49 ## Architecture: Three Layers
- 50 
- 51 ```
- 52 wiki/
- 53 ├── SCHEMA.md           # Conventions, structure rules, domain config
- 54 ├── index.md            # Sectioned content catalog with one-line summaries
- 55 ├── log.md              # Chronological action log (append-only, rotated yearly)
- 56 ├── raw/                # Layer 1: Immutable source material
- 57 │   ├── articles/       # Web articles, clippings
- 58 │   ├── papers/         # PDFs, arxiv papers
- 59 │   ├── transcripts/    # Meeting notes, interviews
- 60 │   └── assets/         # Images, diagrams referenced by sources
- 61 ├── entities/           # Layer 2: Entity pages (people, orgs, products, models)
- 62 ├── concepts/           # Layer 2: Concept/topic pages
- 63 ├── comparisons/        # Layer 2: Side-by-side analyses
- 64 └── queries/            # Layer 2: Filed query results worth keeping
- 65 ```
- 66 
- 67 **Layer 1 — Raw Sources:** Immutable. The agent reads but never modifies these.
- 68 **Layer 2 — The Wiki:** Agent-owned markdown files. Created, updated, and
- 69 cross-referenced by the agent.
- 70 **Layer 3 — The Schema:** `SCHEMA.md` defines structure, conventions, and tag taxonomy.
- 71 
- 72 ## Resuming an Existing Wiki (CRITICAL — do this every session)
- 73 
- 74 When the user has an existing wiki, **always orient yourself before doing anything**:
- 75 
- 76 ① **Read `SCHEMA.md`** — understand the domain, conventions, and tag taxonomy.
- 77 ② **Read `index.md`** — learn what pages exist and their summaries.
- 78 ③ **Scan recent `log.md`** — read the last 20-30 entries to understand recent activity.
- 79 
- 80 ```bash
- 81 WIKI="${WIKI_PATH:-$HOME/wiki}"
- 82 # Orientation reads at session start
- 83 read_file "$WIKI/SCHEMA.md"
- 84 read_file "$WIKI/index.md"
- 85 read_file "$WIKI/log.md" offset=<last 30 lines>
- 86 ```
- 87 
- 88 Only after orientation should you ingest, query, or lint. This prevents:
- 89 - Creating duplicate pages for entities that already exist
- 90 - Missing cross-references to existing content
- 91 - Contradicting the schema's conventions
- 92 - Repeating work already logged
- 93 
- 94 For large wikis (100+ pages), also run a quick `search_files` for the topic
- 95 at hand before creating anything new.
- 96 
- 97 ## Initializing a New Wiki
- 98 
- 99 When the user asks to create or start a wiki:
- 100 
- 101 1. Determine the wiki path (from `$WIKI_PATH` env var, or ask the user; default `~/wiki`)
- 102 2. Create the directory structure above
- 103 3. Ask the user what domain the wiki covers — be specific
- 104 4. Write `SCHEMA.md` customized to the domain (see template below)
- 105 5. Write initial `index.md` with sectioned header
- 106 6. Write initial `log.md` with creation entry
- 107 7. Confirm the wiki is ready and suggest first sources to ingest
- 108 
- 109 ### SCHEMA.md Template
- 110 
- 111 Adapt to the user's domain. The schema constrains agent behavior and ensures consistency:
- 112 
- 113 ```markdown
- 114 # Wiki Schema
- 115 
- 116 ## Domain
- 117 [What this wiki covers — e.g., "AI/ML research", "personal health", "startup intelligence"]
- 118 
- 119 ## Conventions
- 120 - File names: lowercase, hyphens, no spaces (e.g., `transformer-architecture.md`)

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skills/social-media/xurl/SKILL.md

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skills/software-development/codebase-inspection/SKILL.md

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skills/software-development/dogfood/SKILL.md

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skills/software-development/github/SKILL.md

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skills/software-development/hermes-agent-skill-authoring/SKILL.md

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- 1 ---
- 2 name: hermes-agent-skill-authoring
- 3 description: "Author in-repo SKILL.md files: frontmatter and structure."
- 4 version: 2.0.0
- 5 author: Hermes Agent
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 metadata:
- 9   hermes:
- 10     tags: [skills, authoring, hermes-agent, conventions, skill-md]
- 11     related_skills: [requesting-code-review]
- 12 ---
- 13 
- 14 # Authoring Hermes-Agent Skills (in-repo)
- 15 
- 16 ## Overview
- 17 
- 18 There are two places a SKILL.md can live:
- 19 
- 20 1. **User-local:** `~/.hermes/skills/<maybe-category>/<name>/SKILL.md` — personal, not shared. Created via `skill_manage(action='create')`.
- 21 2. **In-repo (this skill is about this case):** `skills/<category>/<name>/SKILL.md` or `optional-skills/<category>/<name>/SKILL.md` inside the hermes-agent repo — committed, shipped with the package. Use `write_file` + `git add`. `skill_manage(action='create')` does NOT target this tree.
- 22 
- 23 In-repo skills must meet the repo's **hardline authoring standards** (see AGENTS.md, "Skill authoring standards (HARDLINE)" — that section is the source of truth; this skill is the operational walkthrough). Reviewers reject PRs that violate them, so meeting them up front is cheaper than a salvage pass later.
- 24 
- 25 ## When to Use
- 26 
- 27 - User asks you to add a skill "in this branch / repo / commit"
- 28 - You're committing a reusable workflow that should ship with hermes-agent
- 29 - You're editing an existing skill under `skills/` or `optional-skills/` (use `patch` for small edits, `write_file` for rewrites; `skill_manage` still works for patch on in-repo skills, but not for `create`)
- 30 - Don't use for: personal skills in `~/.hermes/skills/` (just use `skill_manage`)
- 31 
- 32 ## Decide the Tier First: Bundled vs Optional
- 33 
- 34 - **Bundled (`skills/<category>/`)** — daily-driver behavior, broadly useful across many user types, low footprint. Hard bar: you can say "a user will load this in 5+ sessions per month" with a straight face.
- 35 - **Optional (`optional-skills/<category>/`)** — niche, vertical-specific (blockchain, gaming, finance, one app), recurring-job/task skills, or anything heavy. Installed via `hermes skills install official/<category>/<skill>`.
- 36 
- 37 **When in doubt, optional.** Promoting later is easy; demoting is churn. "Would be useful to anyone who ever needs this" is an optional-tier argument, not a bundled one.
- 38 
- 39 Pick the category by what the tool IS, not what it feels like (an AI-agent CLI goes in `autonomous-ai-agents/` even if it "feels productivity"). Confirm existing categories with `search_files(pattern='*', target='files', path='skills')` and don't invent new top-level categories casually.
- 40 
- 41 **No router / index / hub skills.** A skill whose core content is a routing table pointing at sibling skills adds an indirection hop and duplicates the siblings' own `When to Use` triggers. If the skill would be empty without "load skill X instead" pointers, don't write it — the catalog and each sibling's triggers already do that job.
- 42 
- 43 ## Required Frontmatter
- 44 
- 45 Validator source of truth: `tools/skill_manager_tool.py::_validate_frontmatter`. Validator hard requirements:
- 46 
- 47 - Starts with `---` as the first bytes (no leading blank line).
- 48 - Closes with `\n---\n` before the body.
- 49 - Parses as a YAML mapping.
- 50 - `name` field present.
- 51 - `description` field present (validator ceiling 1024 chars — but see the repo hardline below, which is much stricter).
- 52 - Non-empty body after the closing `---`.
- 53 
- 54 Repo-standard shape (all fields expected, even where the validator doesn't enforce them):
- 55 
- 56 ```yaml
- 57 ---
- 58 name: my-skill-name               # lowercase, hyphens, ≤64 chars (MAX_NAME_LENGTH)
- 59 description: Concise capability statement, under sixty chars.
- 60 version: 0.1.0                    # semver; new skills start at 0.1.0
- 61 author: Real Name (github-handle), Hermes Agent
- 62 license: MIT
- 63 platforms: [linux, macos, windows]   # audit, don't guess — see Platform Gating
- 64 metadata:
- 65   hermes:
- 66     tags: [Short, Descriptive, Tags]
- 67     related_skills: [other-in-repo-skill]
- 68 ---
- 69 ```
- 70 
- 71 ### `description` rules (HARDLINE — the validator's 1024 is NOT the standard)
- 72 
- 73 - **≤ 60 characters.** One sentence. Ends with a period.
- 74 - State the capability, not the implementation, and don't repeat the skill name or its category name (the index prints the category above the skill).
- 75 - No marketing words ("powerful", "comprehensive", "seamless", "advanced").
- 76 - 60 is the width the system prompt skill index shows; `skill_manage` rejects a new or changed description over it, and the index clips a longer legacy one at a word boundary.
- 77 - If the description contains a `:`, wrap it in double quotes or YAML parses it as a mapping and the docs generator crashes. Quotes don't count toward the 60.
- 78 
- 79 Good: `Track named companies for material news with cited digests.`
- 80 Bad: `Use when a user asks to monitor named competitors or companies for product launches, pricing changes, funding, ...` (240 chars — rejected in review)
- 81 
- 82 ### `author` rules
- 83 
- 84 - Credit the **human first**, then "Hermes Agent" as secondary collaborator: `Ben Barclay (benbarclay), Hermes Agent`.
- 85 - Never `author: Hermes Agent` alone for contributed skills — credit the human, not the tool, even (especially) when an agent drafted the text.
- 86 - Maintainer-authored skills: `Teknium (teknium1), Hermes Agent`.
- 87 
- 88 ### `related_skills` rules
- 89 
- 90 - Every entry must resolve to an existing **in-repo** skill in the same tree state as your PR. Do not reference skills that were only planned, live in another PR, or exist only in `~/.hermes/skills/`.
- 91 - Verify each entry: `search_files(pattern='<name>', target='files', path='skills')` (and `optional-skills/`).
- 92 
- 93 ## Platform Gating: audit, don't trust
- 94 
- 95 `platforms:` gates loading by host OS. Set it from what the skill's prose and scripts actually invoke:
- 96 
- 97 | Skill uses only… | `platforms:` |
- 98 |---|---|
- 99 | Hermes tools + stdlib Python + cross-platform CLIs | `[linux, macos, windows]` |
- 100 | bash pipelines, `grep`/`awk`/`sed` chains, heredocs | `[linux, macos]` |
- 101 | `osascript`, `defaults`, `pmset` | `[macos]` |
- 102 | `apt`/`systemctl`/`/proc` | `[linux]` |
- 103 
- 104 <!-- no-tmp: ok — names the anti-pattern skill authors must avoid -->
- 105 POSIX-only signals to search for in `scripts/`: `fcntl`, `termios`, `pty`, `os.fork`, `os.killpg`, `signal.SIGKILL`, `os.kill(pid, 0)` liveness checks, hardcoded `/tmp` `/proc` `/etc`. Default posture: fix cross-platform first (`tempfile.gettempdir()`, `pathlib.Path`, `psutil.pid_exists`); gate narrower only when the dependency is genuinely platform-bound, and say why in `## Pitfalls`.
- 106 
- 107 ## Size Limits
- 108 
- 109 - Full SKILL.md: ≤ 100,000 chars enforced (`MAX_SKILL_CONTENT_CHARS`), but target **~100 lines for a simple skill, ~200 for a complex one**. Peer skills sit at 8-14k chars.
- 110 - Bulky or branch-specific material goes in `references/*.md`, `templates/`, or `scripts/` — pointed to from SKILL.md, not inlined.
- 111 - Don't expect the model to inline-write parsers or non-trivial logic every call — ship a helper script in `scripts/` and reference it by path.
- 112 
- 113 ## Body Structure (modern section order)
- 114 
- 115 ```
- 116 # <Skill> Skill
- 117 2-3 sentence intro: what it does, what it doesn't do, dependency stance.
- 118 
- 119 ## When to Use          — bulleted triggers (+ "Don't use for:" counter-triggers)
- 120 ## Prerequisites        — exact env vars, installs, API key sourcing

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skills/software-development/inspecting-hermes-desktop-dom/SKILL.md

Week of Nov 2, 2026 · +0 / −159 lines

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- 1 ---
- 2 name: inspecting-hermes-desktop-dom
- 3 description: "Read the live Hermes desktop DOM/CSS over CDP."
- 4 version: 1.0.0
- 5 author: Hermes Agent
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 metadata:
- 9   hermes:
- 10     tags: [desktop, electron, cdp, dom, ui-verification, self-inspection]
- 11     related_skills: [node-inspect-debugger, systematic-debugging, dogfood]
- 12 ---
- 13 
- 14 # Inspecting the live Hermes desktop DOM
- 15 
- 16 ## Overview
- 17 
- 18 When you are developing `apps/desktop` and the user is running that same app
- 19 (`hgui` / `npm run dev`), you can read the **live rendered DOM** of the window
- 20 they are looking at — computed styles, geometry, which CSS rule actually won,
- 21 console output — instead of inferring it from `.tsx` and being wrong.
- 22 
- 23 Dev-server runs open a Chrome DevTools Protocol port on `127.0.0.1:9222`
- 24 automatically. The renderer is a Chromium page, so everything DevTools can read,
- 25 a script can read.
- 26 
- 27 **This does not replace looking at it.** CDP answers *factual* questions ("what
- 28 is the computed padding", "did this element render", "which selector matches").
- 29 It cannot tell you whether the result looks good. Colour balance, spacing feel,
- 30 and "is this ugly" still need the user's eyes or a screenshot. Answer facts with
- 31 CDP; hand aesthetics to the user.
- 32 
- 33 ## When to Use
- 34 
- 35 - Verifying a UI change actually took effect in the running app
- 36 - "Why is this element still X?" — find the winning rule before editing anything
- 37 - Locating a stable selector for a component you're about to change
- 38 - Checking a design token's computed value on a real node
- 39 - Reading renderer console errors the user mentions but can't copy out
- 40 
- 41 **Don't use for:** perf profiling or heap work (`node-inspect-debugger`,
- 42 `debugging-hermes-desktop`), or anything where the real question is "does this
- 43 look right".
- 44 
- 45 ## The port
- 46 
- 47 Open on `127.0.0.1:9222` for any dev-server run. Closed in exactly two cases
- 48 (`apps/desktop/electron/dev-cdp.ts`):
- 49 
- 50 - **packaged builds** — always, and no environment value overrides it;
- 51 - **no `HERMES_DESKTOP_DEV_SERVER`** — an unpackaged `electron .` against
- 52   `dist/` is how the packaged app gets smoke tested, so it behaves like one.
- 53 
- 54 `HERMES_DESKTOP_CDP_PORT` moves the port (`=9333`) or disables it (`=off`).
- 55 
- 56 Check before doing anything else:
- 57 
- 58 ```bash
- 59 curl -s --max-time 3 http://127.0.0.1:${HERMES_DESKTOP_CDP_PORT:-9222}/json/version
- 60 ```
- 61 
- 62 Empty → no port. Do not guess another port silently.
- 63 
- 64 **Never relaunch the user's app to get a port.** That destroys their session and
- 65 their state. Launch your own isolated instance instead (below).
- 66 
- 67 ## Reading the DOM
- 68 
- 69 `apps/desktop/scripts/eval.mjs` is the one-liner:
- 70 
- 71 ```bash
- 72 cd apps/desktop
- 73 node scripts/eval.mjs "document.querySelectorAll('[data-slot]').length"
- 74 ```
- 75 
- 76 For multi-step work use the shared client — it has target discovery and
- 77 promise-aware eval:
- 78 
- 79 ```js
- 80 import { CDP, SELECTORS } from './scripts/perf/lib/cdp.mjs'
- 81 
- 82 const cdp = await CDP.connect({ port: 9222, match: '5174' })
- 83 const out = await cdp.eval(`JSON.stringify({
- 84   radius: getComputedStyle(document.documentElement).getPropertyValue('--radius-scalar').trim(),
- 85   composer: !!document.querySelector('[data-slot="composer-rich-input"]')
- 86 })`)
- 87 cdp.close()
- 88 ```
- 89 
- 90 `SELECTORS` in `scripts/perf/lib/cdp.mjs` holds the stable `data-slot` hooks
- 91 (composer, thread viewport, assistant message, turn pair, profile rail). Prefer
- 92 them over inventing a `querySelector` — they are updated as a unit when
- 93 components move.
- 94 
- 95 ## The question this is best at: which rule won?
- 96 
- 97 Editing every call site because a style "isn't applying" is the classic waste.
- 98 Read the real node first:
- 99 
- 100 ```js
- 101 const el = document.querySelector('[data-slot="aui_assistant-message-root"] a')
- 102 JSON.stringify({
- 103   ownClasses: el.className,
- 104   weight: getComputedStyle(el).fontWeight,
- 105   parents: (() => {
- 106     const out = []
- 107     let n = el
- 108     while ((n = n.parentElement) && out.length < 6) out.push(n.className)
- 109     return out
- 110   })()
- 111 })
- 112 ```
- 113 
- 114 If the node carries no class of its own, the value is **inherited** — sweeping
- 115 call sites will not fix it, and you need the ancestor rule. A plugin stylesheet
- 116 (e.g. `@tailwindcss/typography`'s `prose a { font-weight: 500 }`) routinely beats
- 117 a utility class; override on the shared class, not at each usage.
- 118 
- 119 ## Your own isolated instance
- 120 

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skills/software-development/node-inspect-debugger/SKILL.md

Week of Nov 2, 2026 · +0 / −319 lines

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- 1 ---
- 2 name: node-inspect-debugger
- 3 description: "Debug Node.js via --inspect + Chrome DevTools Protocol CLI."
- 4 version: 1.0.0
- 5 author: Hermes Agent
- 6 license: MIT
- 7 platforms: [linux, macos, windows]
- 8 metadata:
- 9   hermes:
- 10     tags: [debugging, nodejs, node-inspect, cdp, breakpoints, ui-tui]
- 11     related_skills: [systematic-debugging, python-debugpy]
- 12 ---
- 13 
- 14 # Node.js Inspect Debugger
- 15 
- 16 ## Overview
- 17 
- 18 When `console.log` isn't enough, drive Node's built-in V8 inspector programmatically from the terminal. You get real breakpoints, step in/over/out, call-stack walking, local/closure scope dumps, and arbitrary expression evaluation in the paused frame.
- 19 
- 20 Two tools, pick one:
- 21 
- 22 - **`node inspect`** — built-in, zero install, CLI REPL. Best for quick poking.
- 23 - **`ndb` / CDP via `chrome-remote-interface`** — scriptable from Node/Python; best when you want to automate many breakpoints, collect state across runs, or debug non-interactively from an agent loop.
- 24 
- 25 **Prefer `node inspect` first.** It's always available and the REPL is fast.
- 26 
- 27 ## When to Use
- 28 
- 29 - A Node test fails and you need to see intermediate state
- 30 - ui-tui crashes or behaves wrong and you want to inspect React/Ink state pre-render
- 31 - tui_gateway child processes (`_SlashWorker`, PTY bridge workers) misbehave
- 32 - You need to inspect a value in a closure that `console.log` can't reach without patching
- 33 - Perf: attach to a running process to capture a CPU profile or heap snapshot
- 34 
- 35 **Don't use for:** things `console.log` solves in under a minute. Breakpoint-driven debugging is heavier; use it when the payoff is real.
- 36 
- 37 ## Quick Reference: `node inspect` REPL
- 38 
- 39 Launch paused on first line:
- 40 
- 41 ```bash
- 42 node inspect path/to/script.js
- 43 # or with tsx
- 44 node --inspect-brk $(which tsx) path/to/script.ts
- 45 ```
- 46 
- 47 The `debug>` prompt accepts:
- 48 
- 49 | Command | Action |
- 50 |---|---|
- 51 | `c` or `cont` | continue |
- 52 | `n` or `next` | step over |
- 53 | `s` or `step` | step into |
- 54 | `o` or `out` | step out |
- 55 | `pause` | pause running code |
- 56 | `sb('file.js', 42)` | set breakpoint at file.js line 42 |
- 57 | `sb(42)` | set breakpoint at line 42 of current file |
- 58 | `sb('functionName')` | break when function is called |
- 59 | `cb('file.js', 42)` | clear breakpoint |
- 60 | `breakpoints` | list all breakpoints |
- 61 | `bt` | backtrace (call stack) |
- 62 | `list(5)` | show 5 lines of source around current position |
- 63 | `watch('expr')` | evaluate expr on every pause |
- 64 | `watchers` | show watched expressions |
- 65 | `repl` | drop into REPL in current scope (Ctrl+C to exit REPL) |
- 66 | `exec expr` | evaluate expression once |
- 67 | `restart` | restart script |
- 68 | `kill` | kill the script |
- 69 | `.exit` | quit debugger |
- 70 
- 71 **In the `repl` sub-mode:** type any JS expression, including access to locals/closure variables. `Ctrl+C` exits back to `debug>`.
- 72 
- 73 ## Attaching to a Running Process
- 74 
- 75 When the process is already running (e.g. a long-lived dev server or the TUI gateway):
- 76 
- 77 ```bash
- 78 # 1. Send SIGUSR1 to enable the inspector on an existing process
- 79 kill -SIGUSR1 <pid>
- 80 # Node prints: Debugger listening on ws://127.0.0.1:9229/<uuid>
- 81 
- 82 # 2. Attach the debugger CLI
- 83 node inspect -p <pid>
- 84 # or by URL
- 85 node inspect ws://127.0.0.1:9229/<uuid>
- 86 ```
- 87 
- 88 To start a process with the inspector from the beginning:
- 89 
- 90 ```bash
- 91 node --inspect script.js           # listen on 127.0.0.1:9229, keep running
- 92 node --inspect-brk script.js       # listen AND pause on first line
- 93 node --inspect=0.0.0.0:9230 script.js   # custom host:port
- 94 ```
- 95 
- 96 For TypeScript via tsx:
- 97 
- 98 ```bash
- 99 node --inspect-brk --import tsx script.ts
- 100 # or older tsx
- 101 node --inspect-brk -r tsx/cjs script.ts
- 102 ```
- 103 
- 104 ## Programmatic CDP (scripting from terminal)
- 105 
- 106 When you want to automate — set many breakpoints, capture scope state, script a repro — use `chrome-remote-interface`:
- 107 
- 108 ```bash
- 109 npm i -g chrome-remote-interface        # or project-local
- 110 # Start your target:
- 111 node --inspect-brk=9229 target.js &
- 112 ```
- 113 
- 114 Driver script (save as `~/.hermes/cache/scratch/cdp-debug.js`):
- 115 
- 116 ```javascript
- 117 const CDP = require('chrome-remote-interface');
- 118 
- 119 (async () => {
- 120   const client = await CDP({ port: 9229 });

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skills/software-development/python-debugpy/SKILL.md

Week of Nov 2, 2026 · +0 / −390 lines

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- 1 ---
- 2 name: python-debugpy
- 3 description: "Debug Python: pdb REPL + debugpy remote (DAP)."
- 4 version: 1.0.0
- 5 author: Hermes Agent
- 6 license: MIT
- 7 platforms: [linux, macos]
- 8 metadata:
- 9   hermes:
- 10     tags: [debugging, python, pdb, debugpy, breakpoints, dap, post-mortem]
- 11     related_skills: [systematic-debugging, node-inspect-debugger]
- 12 ---
- 13 
- 14 # Python Debugger (pdb + debugpy)
- 15 
- 16 ## Overview
- 17 
- 18 Three tools, picked by situation:
- 19 
- 20 | Tool | When |
- 21 |---|---|
- 22 | **`breakpoint()` + pdb** | Local, interactive, simplest. Add `breakpoint()` in the source, run normally, get a REPL at that line. |
- 23 | **`python -m pdb`** | Launch an existing script under pdb with no source edits. Useful for quick poking. |
- 24 | **`debugpy`** | Remote / headless / "attach to already-running process." Talks DAP, scriptable from terminal, works for long-lived processes (gateway, daemon, PTY children). |
- 25 
- 26 **Start with `breakpoint()`.** It's the cheapest thing that works.
- 27 
- 28 ## When to Use
- 29 
- 30 - A test fails and the traceback doesn't reveal why a value is wrong
- 31 - You need to step through a function and watch a collection mutate
- 32 - A long-running process (hermes gateway, tui_gateway) misbehaves and you can't restart it
- 33 - Post-mortem: an exception fired in prod-ish code and you want to inspect locals at the crash site
- 34 - A subprocess / child (Python `_SlashWorker`, PTY bridge worker) is the actual bug site
- 35 
- 36 **Don't use for:** things `print()` / `logging.debug` solve in under a minute, or things `pytest -vv --tb=long --showlocals` already reveals.
- 37 
- 38 ## pdb Quick Reference
- 39 
- 40 Inside any pdb prompt (`(Pdb)`):
- 41 
- 42 | Command | Action |
- 43 |---|---|
- 44 | `h` / `h cmd` | help |
- 45 | `n` | next line (step over) |
- 46 | `s` | step into |
- 47 | `r` | return from current function |
- 48 | `c` | continue |
- 49 | `unt N` | continue until line N |
- 50 | `j N` | jump to line N (same function only) |
- 51 | `l` / `ll` | list source around current line / full function |
- 52 | `w` | where (stack trace) |
- 53 | `u` / `d` | move up / down in the stack |
- 54 | `a` | print args of the current function |
- 55 | `p expr` / `pp expr` | print / pretty-print expression |
- 56 | `display expr` | auto-print expr on every stop |
- 57 | `b file:line` | set breakpoint |
- 58 | `b func` | break on function entry |
- 59 | `b file:line, cond` | conditional breakpoint |
- 60 | `cl N` | clear breakpoint N |
- 61 | `tbreak file:line` | one-shot breakpoint |
- 62 | `!stmt` | execute arbitrary Python (assignments included) |
- 63 | `interact` | drop into full Python REPL in current scope (Ctrl+D to exit) |
- 64 | `q` | quit |
- 65 
- 66 The `interact` command is the most powerful — you can import anything, inspect complex objects, even call methods that mutate state. Locals are read-only by default; use `!x = 42` from the `(Pdb)` prompt to mutate.
- 67 
- 68 ## Recipe 1: Local breakpoint
- 69 
- 70 Easiest. Edit the file:
- 71 
- 72 ```python
- 73 def compute(x, y):
- 74     result = some_helper(x)
- 75     breakpoint()           # <-- drops into pdb here
- 76     return result + y
- 77 ```
- 78 
- 79 Run the code normally. You land at the `breakpoint()` line with full access to locals.
- 80 
- 81 **Don't forget to remove `breakpoint()` before committing.** Use `git diff` or a pre-commit grep:
- 82 ```bash
- 83 rg -n 'breakpoint\(\)' --type py
- 84 ```
- 85 
- 86 ## Recipe 2: Launch a script under pdb (no source edits)
- 87 
- 88 ```bash
- 89 python -m pdb path/to/script.py arg1 arg2
- 90 # Lands at first line of script
- 91 (Pdb) b path/to/script.py:42
- 92 (Pdb) c
- 93 ```
- 94 
- 95 ## Recipe 3: Debug a pytest test
- 96 
- 97 Use `terminal` and the canonical runner for noninteractive diagnostics:
- 98 
- 99 ```bash
- 100 # Show locals in tracebacks without pdb:
- 101 scripts/run_tests.sh tests/path/to/test_file.py --showlocals --tb=long
- 102 ```
- 103 
- 104 `scripts/run_tests.sh` captures each file in a separate subprocess, so `--pdb`
- 105 or `--trace` cannot provide an interactive prompt there. For an interactive
- 106 debugger only, use the independent development/test interpreter prepared in
- 107 Recipe 5 (never a production generation):
- 108 
- 109 ```bash
- 110 .venv/bin/python -m pytest tests/foo_test.py::test_bar --pdb
- 111 ```
- 112 
- 113 This bypasses the hermetic-env guarantees — fine for debugging, but re-run under the wrapper to confirm before pushing.
- 114 
- 115 ## Recipe 4: Post-mortem on any exception
- 116 
- 117 ```python
- 118 import pdb, sys
- 119 try:
- 120     run_the_thing()

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skills/software-development/requesting-code-review/SKILL.md

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skills/software-development/simplify-code/SKILL.md

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skills/software-development/test-driven-development/SKILL.md

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skills/web/blocked-page-recovery/SKILL.md

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View on GitHubAdd to my skills

Verified commit e8639fd4312e5102d6f10c76b56406cb01c19092

git clone --filter=blob:none --no-checkout https://github.com/NousResearch/hermes-agent.git .hotskills/nousresearch-hermes-agent && git -C .hotskills/nousresearch-hermes-agent checkout --detach e8639fd4312e5102d6f10c76b56406cb01c19092 # Copy each selected skill directory from .hotskills/nousresearch-hermes-agent into .agents/skills/<skill-name>/
261kGitHub stars
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194skills in this repository
11.5kcommits in 30 days

Heat

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Heat never changes the order by stars, and sponsorship never touches it. How heat works

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Individual skills in this repository

How it works

agent-merge-conflict-arbiter

When your agent uses it

Neutral arbiter for merge conflicts between two agents.

What it loads into context

Frontmatter

87 tokens

Always available to the agent

SKILL.md

1,779 tokens

When the skill is activated

Reference documents

0 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. When to Use
  2. Prerequisites
  3. How to Run
  4. Quick Reference
  5. Procedure
  6. Pitfalls
  7. Verification

Files

  • SKILL.mdcore7,629 bytes
Read SKILL.md

# Agent Merge-Conflict Arbiter

Resolve a git merge conflict between two AGENTS' branches as an impartial third
party. Agents resolving conflicts against a peer's work reliably either
overwrite the peer or abandon their own change — they lack the peer's context
and are biased toward their own side. This skill is the fix: a neutral
reconciler that receives both diffs plus both sides' stated intents and
produces a merged result, like a merge-queue arbiter.

## When to Use

- Two agent branches/worktrees collide during a parallel campaign (kanban
  engineering pipeline, parallel-PR wave, multi-worktree refactor).
- `git merge` or `git rebase` halts on conflicts between two agents' work and
View the complete source on GitHub

Skills included

  • agent-merge-conflict-arbiter
  • antigravity-cli
  • blackbox
  • dynamic-workflow
  • grok
  • honcho
  • opencode
  • openhands
  • evm
  • hyperliquid
  • solana
  • one-three-one-rule
  • ai-presenter-video
  • anatomy
  • archify
  • ascii-art
  • auteur
  • baoyu-article-illustrator
  • baoyu-comic
  • brag
  • brag-slim
  • comfyui
  • concept-diagrams
  • creative-ideation
  • design-md
  • draw-your-font
  • dream-loop
  • excalidraw
  • heartmula
  • hyperframes
  • impeccable
  • ip-as-logo
  • kanban-video-orchestrator
  • meme-generation
  • mono-color
  • pixel-art
  • pretext
  • simple-english
  • sketch
  • social-media-content-calendar
  • system-atlas
  • tldraw-offline
  • unreal-mcp
  • jupyter-notebook
  • actual-setup
  • docker-management
  • hermes-s6-container-supervision
  • inference-sh-cli
  • pinggy-tunnel
  • setup-wizard-generator
  • watchers
  • adversarial-ux-test
  • agentmail
  • 3-statement-model
  • comps-analysis
  • dcf-model
  • excel-author
  • lbo-model
  • merger-model
  • polymarket
  • pptx-author
  • stocks
  • minecraft-modpack-server
  • pokemon-player
  • fitness-nutrition
  • neuroskill-bci
  • fastmcp
  • mcp-oauth-remote-gateway
  • mcporter
  • gif-search
  • songsee
  • accelerate
  • chroma
  • evaluating-llms-harness
  • faiss
  • flash-attention
  • llama-cpp
  • serving-llms-vllm
  • lambda-labs
  • modal
  • segment-anything-model
  • nemo-curator
  • obliteratus
  • peft
  • pytorch-fsdp
  • pytorch-lightning
  • dspy
  • saelens
  • simpo
  • slime
  • tensorrt-llm
  • torchtitan
  • axolotl
  • unsloth
  • mpp-agent
  • stripe-link-cli
  • stripe-projects
  • airtable
  • box
  • canvas
  • decision-questionnaire
  • here-now
  • live-dashboard
  • memento-flashcards
  • notion
  • property-listings
  • shop
  • shopify
  • siyuan
  • telephony
  • bioinformatics
  • blogwatcher
  • darwinian-evolver
  • domain-intel
  • drug-discovery
  • duckduckgo-search
  • gitnexus-explorer
  • llm-wiki
  • osint-investigation
  • parallel-cli
  • qmd
  • research-paper-writing
  • rss-feeds
  • scrapling
  • searxng-search
  • 1password
  • godmode
  • oss-forensics
  • sherlock
  • unbroker
  • web-pentest
  • openhue
  • reddit-reading
  • ast-grep
  • code-wiki
  • grill-me
  • hermes-agent-skill-authoring
  • inspecting-hermes-desktop-dom
  • node-inspect-debugger
  • pr-lens
  • python-debugpy
  • rest-graphql-debug
  • subagent-driven-development
  • cloudflare-temporary-deploy
  • har-derived-api-client
  • page-agent
  • publish-site
  • scrollcraft
  • yuanbao
  • google_meet
  • apple-notes
  • apple-reminders
  • findmy
  • imessage
  • claude-code
  • codex
  • computer-use
  • hermes-agent
  • architecture-diagram
  • ascii-video
  • baoyu-infographic
  • claude-design
  • humanizer
  • manim-video
  • p5js
  • popular-web-designs
  • songwriting-and-ai-music
  • sdlc-review
  • email-inbox-triage
  • himalaya
  • youtube-content
  • obsidian
  • document-to-action-items
  • google-workspace
  • maps
  • meeting-action-items
  • microsoft-office
  • pdf
  • product-price-monitor
  • teams-meeting-pipeline
  • weekly-review-planning
  • arxiv
  • competitor-news-monitor
  • grounded-citations
  • xurl
  • codebase-inspection
  • dogfood
  • github
  • requesting-code-review
  • simplify-code
  • spike
  • systematic-debugging
  • test-driven-development
  • blocked-page-recovery

Repository facts

License
MIT
Created
Jul 22, 2025
Last pushed
Nov 6, 2026
Forks
57,614
Open issues
18,701
Project activity
Active

Rank over the last 12 weeks

Now #4 · best #3 · same as 30 days ago

  1. #3 on Aug 2
  2. #3 from Aug 7 to Aug 24
  3. #4 from Aug 25 to Oct 25
  4. #4 since Oct 28

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 2, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 1,731 notes
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Show all 9,427 signals by file

activate

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hermes

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optional-skills/autonomous-ai-agents/antigravity-cli/SKILL.md

  • Instruction override signalline 88
    terminal(command="agy -p 'Implement the change described in TASK.md and run the tests' --dangerously-skip-permissions", workdir="/path/to/repo", background=true, notify_on_complete=true)
  • Instruction override signalline 149
    - `--continue` / `-c` - `--conversation` - `--dangerously-skip-permissions`
  • Instruction override signalline 150
    - `--conversation` - `--dangerously-skip-permissions` - `--print` / `-p`
  • Instruction override signalline 151
    - `--dangerously-skip-permissions`
  • Instruction override signalline 188
    ### Sandbox behavior - `enableTerminalSandbox` is a boolean in `settings.json`; default `false`. - Launch-time overrides (`--sandbox`, `--dangerously-skip-permissions`) can
  • Instruction override signalline 189
    - `enableTerminalSandbox` is a boolean in `settings.json`; default `false`. - Launch-time overrides (`--sandbox`, `--dangerously-skip-permissions`) can   supersede persistent settings for the current session.
  • Instruction override signalline 190
    - Launch-time overrides (`--sandbox`, `--dangerously-skip-permissions`) can

optional-skills/autonomous-ai-agents/antigravity-cli/references/cli-docs.md

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    ## Install - macOS/Linux: `curl -fsSL https://antigravity.google/cli/install.sh | bash`
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    - macOS/Linux: `curl -fsSL https://antigravity.google/cli/install.sh | bash`
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    - macOS/Linux: `curl -fsSL https://antigravity.google/cli/install.sh | bash`
  • Network accessline 10
    - Windows PowerShell: `irm https://antigravity.google/cli/install.ps1 | iex`
  • Network accessline 11
    - Windows CMD: `curl -fsSL https://antigravity.google/cli/install.cmd -o install.cmd && install.cmd && del install.cmd`
  • Instruction override signalline 48
    ## Permissions and sandbox - Permission modes: `request-review`, `always-proceed`, `strict`, `proceed-in-sandbox` - Launch overrides: `--sandbox`, `--dangerously-skip-permissions`
  • Instruction override signalline 49
    - Permission modes: `request-review`, `always-proceed`, `strict`, `proceed-in-sandbox` - Launch overrides: `--sandbox`, `--dangerously-skip-permissions` - Sandbox setting: `enableTerminalSandbox` in `settings.json` (default `false`)
  • Instruction override signalline 50
    - Launch overrides: `--sandbox`, `--dangerously-skip-permissions`

optional-skills/autonomous-ai-agents/blackbox/SKILL.md

  • Network accessline 16
    Delegate coding tasks to [Blackbox AI](https://www.blackbox.ai/) via the Hermes terminal. Blackbox is a multi-model coding agent CLI that dispatches tasks to multiple LLMs (Claude, Codex, Gemini, Blackbox Pro) and uses a judge to select the
  • Network accessline 22
    - Node.js 20+ installed - Blackbox CLI installed: `npm install -g @blackbox_ai/blackbox-cli` (binary: `blackbox`) - API key from [app.blackbox.ai/dashboard](https://app.blackbox.ai/dashboard)
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    - Blackbox CLI installed: `npm install -g @blackbox_ai/blackbox-cli` (binary: `blackbox`) - API key from [app.blackbox.ai/dashboard](https://app.blackbox.ai/dashboard) - Configured: run `blackbox configure` and enter your API key
  • Network accessline 24
    - API key from [app.blackbox.ai/dashboard](https://app.blackbox.ai/dashboard)
  • Network accessline 85
    terminal(command="REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && gh pr checkout 42 && blackbox --prompt 'Review this PR against main. Check for bugs, security issues, and code quality.'", pty=true

optional-skills/autonomous-ai-agents/grok/SKILL.md

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    Delegate coding tasks to [Grok Build](https://docs.x.ai/build/overview) (xAI's
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    - **Install (preferred):** `npm install -g @xai-official/grok`   - The official installer `curl -fsSL https://x.ai/cli/install.sh | bash` also
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    - The official installer `curl -fsSL https://x.ai/cli/install.sh | bash` also
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    - The official installer `curl -fsSL https://x.ai/cli/install.sh | bash` also
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    [Credential-related source omitted]
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    terminal(command="REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && gh pr checkout 42 && grok --no-auto-update -p 'Review the changes vs origin/main. Check bugs, security, race conditions, missing te
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    3. **Always pass `--no-auto-update` in automation** — otherwise Grok phones home    for update checks (and `x.ai`/`storage.googleapis.com` may be unreachable). 4. **Prefer npm install over the curl installer** — `npm install -g
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    for update checks (and `x.ai`/`storage.googleapis.com` may be unreachable). 4. **Prefer npm install over the curl installer** — `npm install -g    @xai-official/grok` avoids the Cloudflare-walled `x.ai` host.
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    4. **Prefer npm install over the curl installer** — `npm install -g

optional-skills/autonomous-ai-agents/honcho/SKILL.md

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    hermes:     tags: [Honcho, Memory, Profiles, Observation, Dialectic, User-Modeling, Session-Summary]     homepage: https://docs.honcho.dev
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    tags: [Honcho, Memory, Profiles, Observation, Dialectic, User-Modeling, Session-Summary]     homepage: https://docs.honcho.dev     related_skills: [hermes-agent]
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    homepage: https://docs.honcho.dev
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    hermes memory setup honcho # select "cloud", paste API key from https://app.honcho.dev
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    # select "cloud", paste API key from https://app.honcho.dev
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    hermes memory setup honcho # select "local", enter base URL (e.g. http://localhost:8000)
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    # select "local", enter base URL (e.g. http://localhost:8000)
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    See: https://docs.honcho.dev/v3/guides/integrations/hermes#running-honcho-locally-with-hermes
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    Settings changed in the [Honcho dashboard](https://app.honcho.dev) are synced back on session init -- server-side config wins over local defaults.
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    | Key | Default | Description | |-----|---------|-------------| | `apiKey` | -- | API key ([get one](https://app.honcho.dev)) |
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    |-----|---------|-------------| | `apiKey` | -- | API key ([get one](https://app.honcho.dev)) | | `baseUrl` | -- | Base URL for self-hosted Honcho |
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    | `apiKey` | -- | API key ([get one](https://app.honcho.dev)) |

optional-skills/autonomous-ai-agents/opencode/SKILL.md

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    Use [OpenCode](https://opencode.ai) as an autonomous coding worker orchestrated by Hermes terminal/process tools. OpenCode is a provider-agnostic, open-source AI coding agent with a TUI and CLI.
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    terminal(command="REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && opencode run 'Review this PR vs main. Report bugs, security risks, test gaps, and style issues.' -f $(git diff origin/main --name-o

optional-skills/autonomous-ai-agents/openhands/SKILL.md

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    Delegate coding tasks to the [OpenHands CLI](https://github.com/All-Hands-AI/OpenHands) via the `terminal` tool. OpenHands is model-agnostic: any LiteLLM-supported provider (OpenAI, Anthropic, OpenRouter, DeepSeek, Ollama, vLLM, etc.).
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    [Credential-related source omitted]
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    export LLM_BASE_URL=https://openrouter.ai/api/v1     # omit for native OpenAI
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    - [OpenHands GitHub](https://github.com/All-Hands-AI/OpenHands)
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    - [OpenHands CLI command reference](https://docs.openhands.dev/openhands/usage/cli/command-reference)

optional-skills/blockchain/evm/SKILL.md

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    Override RPC endpoint: `export EVM_RPC_URL=https://your-rpc.com`

optional-skills/blockchain/evm/scripts/evm_client.py

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    #!/usr/bin/env python3
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    "ethereum": {         "chain_id": 1,         "rpc": "https://ethereum-rpc.publicnode.com",
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    "chain_id": 1,         "rpc": "https://ethereum-rpc.publicnode.com",         "native": "ETH",
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    "rpc": "https://ethereum-rpc.publicnode.com",
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    "native": "ETH",         "coingecko": "ethereum",         "explorer": "https://etherscan.io",
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    "coingecko": "ethereum",         "explorer": "https://etherscan.io",         "decimals": 18,
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    "explorer": "https://etherscan.io",
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    "bsc": {         "chain_id": 56,         "rpc": "https://bsc-dataseed1.binance.org",
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    "chain_id": 56,         "rpc": "https://bsc-dataseed1.binance.org",         "native": "BNB",
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    "rpc": "https://bsc-dataseed1.binance.org",
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    "native": "BNB",         "coingecko": "binancecoin",         "explorer": "https://bscscan.com",
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    "coingecko": "binancecoin",         "explorer": "https://bscscan.com",         "decimals": 18,
  • Network accessline 34
    "explorer": "https://bscscan.com",
  • Network accessline 37
    "base": {         "chain_id": 8453,         "rpc": "https://mainnet.base.org",
  • Network accessline 38
    "chain_id": 8453,         "rpc": "https://mainnet.base.org",         "native": "ETH",
  • Network accessline 39
    "rpc": "https://mainnet.base.org",
  • Network accessline 40
    "native": "ETH",         "coingecko": "ethereum",         "explorer": "https://basescan.org",
  • Network accessline 41
    "coingecko": "ethereum",         "explorer": "https://basescan.org",         "decimals": 18,
  • Network accessline 42
    "explorer": "https://basescan.org",
  • Network accessline 45
    "arbitrum": {         "chain_id": 42161,         "rpc": "https://arb1.arbitrum.io/rpc",
  • Network accessline 46
    "chain_id": 42161,         "rpc": "https://arb1.arbitrum.io/rpc",         "native": "ETH",
  • Network accessline 47
    "rpc": "https://arb1.arbitrum.io/rpc",
  • Network accessline 48
    "native": "ETH",         "coingecko": "ethereum",         "explorer": "https://arbiscan.io",
  • Network accessline 49
    "coingecko": "ethereum",         "explorer": "https://arbiscan.io",         "decimals": 18,
  • Network accessline 50
    "explorer": "https://arbiscan.io",
  • Network accessline 53
    "polygon": {         "chain_id": 137,         "rpc": "https://polygon-rpc.com",
  • Network accessline 54
    "chain_id": 137,         "rpc": "https://polygon-rpc.com",         "native": "MATIC",
  • Network accessline 55
    "rpc": "https://polygon-rpc.com",
  • Network accessline 56
    "native": "MATIC",         "coingecko": "matic-network",         "explorer": "https://polygonscan.com",
  • Network accessline 57
    "coingecko": "matic-network",         "explorer": "https://polygonscan.com",         "decimals": 18,
  • Network accessline 58
    "explorer": "https://polygonscan.com",
  • Network accessline 61
    "optimism": {         "chain_id": 10,         "rpc": "https://mainnet.optimism.io",
  • Network accessline 62
    "chain_id": 10,         "rpc": "https://mainnet.optimism.io",         "native": "ETH",
  • Network accessline 63
    "rpc": "https://mainnet.optimism.io",
  • Network accessline 64
    "native": "ETH",         "coingecko": "ethereum",         "explorer": "https://optimistic.etherscan.io",
  • Network accessline 65
    "coingecko": "ethereum",         "explorer": "https://optimistic.etherscan.io",         "decimals": 18,
  • Network accessline 66
    "explorer": "https://optimistic.etherscan.io",
  • Network accessline 69
    "avalanche": {         "chain_id": 43114,         "rpc": "https://api.avax.network/ext/bc/C/rpc",
  • Network accessline 70
    "chain_id": 43114,         "rpc": "https://api.avax.network/ext/bc/C/rpc",         "native": "AVAX",
  • Network accessline 71
    "rpc": "https://api.avax.network/ext/bc/C/rpc",
  • Network accessline 72
    "native": "AVAX",         "coingecko": "avalanche-2",         "explorer": "https://snowtrace.io",
  • Network accessline 73
    "coingecko": "avalanche-2",         "explorer": "https://snowtrace.io",         "decimals": 18,
  • Network accessline 74
    "explorer": "https://snowtrace.io",
  • Network accessline 77
    "zksync": {         "chain_id": 324,         "rpc": "https://mainnet.era.zksync.io",
  • Network accessline 78
    "chain_id": 324,         "rpc": "https://mainnet.era.zksync.io",         "native": "ETH",
  • Network accessline 79
    "rpc": "https://mainnet.era.zksync.io",
  • Network accessline 80
    "native": "ETH",         "coingecko": "ethereum",         "explorer": "https://explorer.zksync.io",
  • Network accessline 81
    "coingecko": "ethereum",         "explorer": "https://explorer.zksync.io",         "decimals": 18,
  • Network accessline 82
    "explorer": "https://explorer.zksync.io",
  • Network accessline 328
    "User-Agent":   "Mozilla/5.0 (compatible; evm_client/1.0)",     }     req = urllib.request.Request(url, data=body, headers=headers, method="POST")
  • Network accessline 329
    }     req = urllib.request.Request(url, data=body, headers=headers, method="POST")     delay = 1.0
  • Network accessline 330
    req = urllib.request.Request(url, data=body, headers=headers, method="POST")
  • Network accessline 333
    for attempt in range(retries):         try:             with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 334
    try:             with urllib.request.urlopen(req, timeout=timeout) as resp:                 return json.loads(resp.read().decode())
  • Network accessline 335
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 356
    def _http_get(url: str, retries: int = 5, timeout: int = 20) -> Any:     headers = {"Accept": "application/json", "User-Agent": "evm_client/1.0"}     req = urllib.request.Request(url, headers=headers, method="GET")
  • Network accessline 357
    headers = {"Accept": "application/json", "User-Agent": "evm_client/1.0"}     req = urllib.request.Request(url, headers=headers, method="GET")     delay = 1.0
  • Network accessline 358
    req = urllib.request.Request(url, headers=headers, method="GET")
  • Network accessline 361
    for attempt in range(retries):         try:             with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 362
    try:             with urllib.request.urlopen(req, timeout=timeout) as resp:                 return json.loads(resp.read().decode())
  • Network accessline 363
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Access to secretsline 389
    [Credential-related source omitted]
  • Network accessline 545
    COINGECKO_BASE = "https://api.coingecko.com/api/v3"
  • Network accessline 994
    def fetch(chain: str) -> None:
  • Network accessline 1239
    url = f"https://www.4byte.directory/api/v1/signatures/?hex_signature={selector}"
  • Network accessline 1279
    try:         data = _http_get(f"https://api.ensideas.com/ens/resolve/{query}")
  • Network accessline 1280
    data = _http_get(f"https://api.ensideas.com/ens/resolve/{query}")

optional-skills/blockchain/hyperliquid/SKILL.md

  • Network accessline 41
    - `HYPERLIQUID_API_URL` — defaults to `https://api.hyperliquid.xyz`. Set to
  • Network accessline 42
    `https://api.hyperliquid-testnet.xyz` for testnet.

optional-skills/blockchain/hyperliquid/scripts/hyperliquid_client.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 22
    Environment:   HYPERLIQUID_API_URL  Override API base URL                        (default: https://api.hyperliquid.xyz)
  • Network accessline 23
    HYPERLIQUID_API_URL  Override API base URL                        (default: https://api.hyperliquid.xyz)   HYPERLIQUID_USER_ADDRESS  Default address for state/fills/orders/review commands
  • Network accessline 24
    (default: https://api.hyperliquid.xyz)
  • Network accessline 43
    USER_AGENT = "HermesAgent/1.0" DEFAULT_USER_ENV = "HYPERLIQUID_USER_ADDRESS" DEFAULT_API_BASE = "https://api.hyperliquid.xyz"
  • Network accessline 45
    DEFAULT_API_BASE = "https://api.hyperliquid.xyz"
  • Access to secretsline 49
    [Credential-related source omitted]
  • Access to secretsline 54
    [Credential-related source omitted]
  • Access to secretsline 58
    [Credential-related source omitted]
  • Access to secretsline 87
    [Credential-related source omitted]
  • Access to secretsline 118
    [Credential-related source omitted]
  • Network accessline 130
    for attempt in range(retries + 1):         request = urllib.request.Request(_info_url(), data=data, headers=headers, method="POST")
  • Network accessline 131
    request = urllib.request.Request(_info_url(), data=data, headers=headers, method="POST")
  • Network accessline 132
    try:             with urllib.request.urlopen(request, timeout=timeout) as response:                 body = json.load(response)
  • Network accessline 133
    with urllib.request.urlopen(request, timeout=timeout) as response:

optional-skills/blockchain/solana/SKILL.md

  • Network accessline 49
    RPC endpoint (default): https://api.mainnet-beta.solana.com
  • Network accessline 50
    Override: export SOLANA_RPC_URL=https://your-private-rpc.com
  • Network accessline 74
    # Optional: set a private RPC for better rate limits export SOLANA_RPC_URL="https://api.mainnet-beta.solana.com"
  • Network accessline 75
    export SOLANA_RPC_URL="https://api.mainnet-beta.solana.com"

optional-skills/blockchain/solana/scripts/solana_client.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 31
    [Credential-related source omitted]
  • Access to secretsline 31
    [Credential-related source omitted]
  • Network accessline 32
    "SOLANA_RPC_URL",     "https://api.mainnet-beta.solana.com", )
  • Network accessline 33
    "https://api.mainnet-beta.solana.com",
  • Network accessline 76
    for attempt in range(retries + 1):         req = urllib.request.Request(
  • Network accessline 77
    req = urllib.request.Request(
  • Network accessline 79
    )         try:             with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 80
    try:             with urllib.request.urlopen(req, timeout=timeout) as resp:                 return json.load(resp)
  • Network accessline 81
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 100
    for attempt in range(retries + 1):         req = urllib.request.Request(
  • Network accessline 101
    req = urllib.request.Request(
  • Network accessline 104
    )         try:             with urllib.request.urlopen(req, timeout=20) as resp:
  • Network accessline 105
    try:             with urllib.request.urlopen(req, timeout=20) as resp:                 body = json.load(resp)
  • Network accessline 106
    with urllib.request.urlopen(req, timeout=20) as resp:
  • Network accessline 138
    for attempt in range(3):         req = urllib.request.Request(
  • Network accessline 139
    req = urllib.request.Request(
  • Network accessline 142
    )         try:             with urllib.request.urlopen(req, timeout=20) as resp:
  • Network accessline 143
    try:             with urllib.request.urlopen(req, timeout=20) as resp:                 return json.load(resp)
  • Network accessline 144
    with urllib.request.urlopen(req, timeout=20) as resp:
  • Network accessline 183
    for i, mint in enumerate(mints[:max_lookups]):         url = (             f"https://api.coingecko.com/api/v3/simple/token_price/solana"
  • Network accessline 184
    url = (             f"https://api.coingecko.com/api/v3/simple/token_price/solana"             f"?contract_addresses={mint}&vs_currencies=usd"
  • Network accessline 185
    f"https://api.coingecko.com/api/v3/simple/token_price/solana"
  • Network accessline 202
    data = _http_get_json(         "https://api.coingecko.com/api/v3/simple/price?ids=solana&vs_currencies=usd"
  • Network accessline 203
    "https://api.coingecko.com/api/v3/simple/price?ids=solana&vs_currencies=usd"
  • Network accessline 216
    sym, name = KNOWN_TOKENS[mint]         return {"symbol": sym, "name": name}     url = f"https://api.coingecko.com/api/v3/coins/solana/contract/{mint}"
  • Network accessline 217
    return {"symbol": sym, "name": name}     url = f"https://api.coingecko.com/api/v3/coins/solana/contract/{mint}"     data = _http_get_json(url, timeout=10)
  • Network accessline 218
    url = f"https://api.coingecko.com/api/v3/coins/solana/contract/{mint}"

optional-skills/creative/ai-presenter-video/SKILL.md

  • Network accessline 3
    description: "Make a verified AI presenter video from script + image." version: 1.0.0 author: cclank (https://github.com/cclank/lanshu-create-ai-presenter-video), ported by Hermes Agent
  • Network accessline 4
    version: 1.0.0 author: cclank (https://github.com/cclank/lanshu-create-ai-presenter-video), ported by Hermes Agent license: MIT
  • Network accessline 5
    author: cclank (https://github.com/cclank/lanshu-create-ai-presenter-video), ported by Hermes Agent
  • Network accessline 11
    tags: [video, presenter, avatar, lipsync, tts, captions, creative]     category: creative     homepage: https://github.com/cclank/lanshu-create-ai-presenter-video
  • Network accessline 12
    category: creative     homepage: https://github.com/cclank/lanshu-create-ai-presenter-video     related_skills: [hyperframes, kanban-video-orchestrator, comfyui]
  • Network accessline 13
    homepage: https://github.com/cclank/lanshu-create-ai-presenter-video

optional-skills/creative/ai-presenter-video/scripts/finalize_delivery.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Dangerous shell operationline 49
    trap 'rm -rf -- "$TMP_DIR"' EXIT INT TERM

optional-skills/creative/ai-presenter-video/scripts/init_job.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/creative/ai-presenter-video/scripts/preflight.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/creative/anatomy/SKILL.md

  • Network accessline 11
    category: creative     related_skills: [concept-diagrams, system-atlas, architecture-diagram]     upstream: https://github.com/wheresryan22/anatomy (pinned dbf697a, v1.0.0)
  • Network accessline 12
    related_skills: [concept-diagrams, system-atlas, architecture-diagram]     upstream: https://github.com/wheresryan22/anatomy (pinned dbf697a, v1.0.0) ---
  • Network accessline 13
    upstream: https://github.com/wheresryan22/anatomy (pinned dbf697a, v1.0.0)

optional-skills/creative/anatomy/examples/arcade-cabinet/build.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/arcade-cabinet/live.js

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/arcade-cabinet/parts.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/arcade-cabinet/screen.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/desk-computer/build.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/dial-indicator/build.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/raptor-engine/build.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 889
    const backSvg = k.figureSvg({ width: W, height: H, label: LABEL_TEXT, body: back, className: "rp-back" }); const frontSvg = `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg rp-front" viewBox="0 0 ${W} ${H}" aria-hidden="true"><g clas
  • Network accessline 890
    const frontSvg = `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg rp-front" viewBox="0 0 ${W} ${H}" aria-hidden="true"><g class="rp-engine">${groups.join("")}</g></svg>`;
  • Network accessline 923
    const corners = `<div class="iso-plate-corners" aria-hidden="true"><span class="iso-plate-corner" data-corner="fig">Fig 1</span><span class="iso-plate-corner" data-corner="title">Raptor 2 · test stand</span><span class="iso-plate-corner" da
  • Network accessline 924
    const controls = `<div class="rp-controls"><button type="button" class="rp-fire" data-fire><span class="rp-lamp" aria-hidden="true"></span><span data-fire-label>Ignite</span></button><span class="rp-hint">Hover the engine to take it apart</
  • Network accessline 925
    const glowSvg = `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg rp-glow" viewBox="0 0 ${W} ${H}" aria-hidden="true"><g class="rp-glow-g"><path class="rp-rim rp-rim-soft" d="${LIP}"/><path class="rp-rim" d="${LIP}"/></g></svg>`;

optional-skills/creative/anatomy/examples/raptor-engine/live.js

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/ripple-tank/build.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 529
    const backSvg = k.figureSvg({ width: W, height: H, label: LABEL_TEXT, body: back, className: "rt-back" }); const layerSvg = (name, body) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg rt-layer ${name}" viewBox="0 0 ${W} ${H}" ar
  • Network accessline 530
    const layerSvg = (name, body) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg rt-layer ${name}" viewBox="0 0 ${W} ${H}" aria-hidden="true">${body.join("")}</svg>`;

optional-skills/creative/anatomy/examples/ripple-tank/live.js

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/ripple-tank/model.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/spot-plate/art.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/spot-plate/drops.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/spot-plate/fan.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/spot-plate/figure.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/spot-plate/geometry.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/spot-plate/live.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/spot-plate/rig.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/test-rig/art.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/test-rig/figure.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/test-rig/geometry.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/test-rig/live.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/test-rig/pose.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/test-rig/rig.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/test-rig/view.ts

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/turning-dial/build.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 449
    const LABEL = "A combination dial on a raised door plate. A small robot hand lies on the dial's hub and turns with it: a palm with a cover plate, a connector block, a piston on two saddles with a ball joint, three jointed fingers whose tips
  • Network accessline 450
    const backSvg = k.figureSvg({ width: WIDTH, height: HEIGHT, label: LABEL, body: BACK }); const staticSvg = (list) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg iso-layer" viewBox="0 0 ${WIDTH} ${HEIGHT}" aria-hidden="true">${li
  • Network accessline 451
    const staticSvg = (list) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg iso-layer" viewBox="0 0 ${WIDTH} ${HEIGHT}" aria-hidden="true">${list.join("")}</svg>`;

optional-skills/creative/anatomy/examples/turning-dial/live.js

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/examples/turning-dial/stress.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 191
    for (let f = 0; f < 5; f++) {     const tag = f < 4 ? `f${f}` : "thumb";     const curl = (Math.sin(t * 1.3 + f * 0.9) * 0.5 + 0.5) * lift;
  • Network accessline 192
    const tag = f < 4 ? `f${f}` : "thumb";     const curl = (Math.sin(t * 1.3 + f * 0.9) * 0.5 + 0.5) * lift;     out[`${tag}.j0`] = -5 + 10 * curl;
  • Network accessline 193
    const curl = (Math.sin(t * 1.3 + f * 0.9) * 0.5 + 0.5) * lift;
  • Network accessline 223
    const BACK = [`<path class="iso-halo" d="${k.haloOf(BENCH, BENCH_TOP - 6, 6, P)}"/>`, ...layerOf("back")]; const backSvg = k.figureSvg({ width: WIDTH, height: HEIGHT, label: "A dense robot hand on a turntable in a workshop: a stress scene f
  • Network accessline 224
    const backSvg = k.figureSvg({ width: WIDTH, height: HEIGHT, label: "A dense robot hand on a turntable in a workshop: a stress scene for the 3D mode.", body: BACK }); const staticSvg = (list) => `<svg xmlns="http://www.w3.org/2000/svg" class
  • Network accessline 225
    const staticSvg = (list) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg iso-layer" viewBox="0 0 ${WIDTH} ${HEIGHT}" aria-hidden="true">${list.join("")}</svg>`;

optional-skills/creative/anatomy/kit/audit.mjs

  • Executable scriptline 1
    Executable file
  • Dangerous shell operationline 221
    const rm = Math.max(...poly.map(([, r]) => r));
  • Dangerous shell operationline 224
    const spread = [0, 1, 2].map((i) => rm * Math.sqrt(Math.max(0, 1 - F.a[i] * F.a[i])));
  • Dangerous shell operationline 331
    const { aV, uV, vV, s0, s1, rm } = shape._f;
  • Dangerous shell operationline 347
    const qc = xc * xc + yc * yc - rm * rm;
  • Dangerous shell operationline 353
    } else if (xc * xc + yc * yc > rm * rm) return null;

optional-skills/creative/anatomy/kit/canvas-painter.mjs

  • Network accessline 1
    const CP_Q = 64; const CP_SVG = "http://www.w3.org/2000/svg";
  • Executable scriptline 1
    Executable file
  • Network accessline 2
    const CP_SVG = "http://www.w3.org/2000/svg";
  • Network accessline 689
    const theme = holder ? holder.getAttribute("data-theme") : "dark";       const card = getComputedStyle(stage.closest(".iso-plate") || stage).getPropertyValue("--anatomy-card").trim() || "#fff";       return `<svg xmlns="http://www.w3.org/20
  • Network accessline 690
    const card = getComputedStyle(stage.closest(".iso-plate") || stage).getPropertyValue("--anatomy-card").trim() || "#fff";       return `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ${W} ${H}" width="${W}" height="${H}"><style>${css.r
  • Network accessline 691
    return `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ${W} ${H}" width="${W}" height="${H}"><style>${css.replace(/<\/style/gi, "")}</style><g class="iso" data-theme="${theme}"><g class="iso-plate" style="padding:0;box-shadow:none">${

optional-skills/creative/anatomy/kit/gl-shared.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/kit/gl.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/kit/iso-kit.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 532
    const style = standalone ? `<style>${ISO_CSS}</style>` : "";     return `<svg${attrs({         xmlns: "http://www.w3.org/2000/svg",
  • Network accessline 533
    return `<svg${attrs({         xmlns: "http://www.w3.org/2000/svg",         class: `iso-svg${standalone ? " iso" : ""}${className ? ` ${className}` : ""}`,
  • Network accessline 534
    xmlns: "http://www.w3.org/2000/svg",

optional-skills/creative/anatomy/kit/iso-kit.ts

  • Executable scriptline 1
    Executable file
  • Network accessline 669
    const style = standalone ? `<style>${ISO_CSS}</style>` : "";   return `<svg${attrs({     xmlns: "http://www.w3.org/2000/svg",
  • Network accessline 670
    return `<svg${attrs({     xmlns: "http://www.w3.org/2000/svg",     class: `iso-svg${standalone ? " iso" : ""}${className ? ` ${className}` : ""}`,
  • Network accessline 671
    xmlns: "http://www.w3.org/2000/svg",

optional-skills/creative/anatomy/kit/lathe.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/kit/react/draw.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/kit/react/live.tsx

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/kit/tube.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/kit/turn-audit.mjs

  • Executable scriptline 1
    Executable file
  • Dangerous shell operationline 758
    for (const Rm of rotations) {
  • Dangerous shell operationline 759
    const t = Rm ? apply(Rm, t0) : t0;

optional-skills/creative/anatomy/kit/turn-build.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 1260
    };   const out = { svg: markup, data: packed, css: TURN_CSS, report, scene, frames, planesByName };   out.layerSvg = (name, { width, height, label = "" }) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg iso-live iso-layer" data-l
  • Network accessline 1261
    const out = { svg: markup, data: packed, css: TURN_CSS, report, scene, frames, planesByName };   out.layerSvg = (name, { width, height, label = "" }) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg iso-live iso-layer" data-live="
  • Network accessline 1262
    out.layerSvg = (name, { width, height, label = "" }) => `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg iso-live iso-layer" data-live="${esc(name)}" viewBox="0 0 ${width} ${height}" aria-hidden="true"${label ? ` aria-label="${esc(la

optional-skills/creative/anatomy/kit/turn-fixed.mjs

  • Executable scriptline 1
    Executable file
  • Possible obfuscationline 463
    const text = atob(value);

optional-skills/creative/anatomy/kit/turn.mjs

  • Executable scriptline 1
    Executable file
  • Possible obfuscationline 428
    const text = atob(value);

optional-skills/creative/anatomy/references/verify.md

  • Network accessline 14
    node scripts/capture.mjs page.html --out shots/joint.png --zoom 200,80,220,170  # close-up at 4x, in card px node scripts/capture.mjs page.html --out shots/still.png --reduced              # reduced motion node scripts/capture.mjs http://lo
  • Network accessline 16
    node scripts/capture.mjs http://localhost:3000/docs --select "figure:nth-of-type(3) .iso-plate"   # one figure on a dev-server page

optional-skills/creative/anatomy/references/webgl.md

  • Network accessline 166
    const DATA = { W, H, camera: glCamera(P), plateR: 40, deck: [DECK.w / 2, DECK.r] }; const backSvg = k.figureSvg({ width: W, height: H, label: LABEL, body: back }); const frontSvg = `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg fx-
  • Network accessline 167
    const backSvg = k.figureSvg({ width: W, height: H, label: LABEL, body: back }); const frontSvg = `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg fx-layer" viewBox="0 0 ${W} ${H}" aria-hidden="true">${front.join("")}</svg>`; const st
  • Network accessline 168
    const frontSvg = `<svg xmlns="http://www.w3.org/2000/svg" class="iso-svg fx-layer" viewBox="0 0 ${W} ${H}" aria-hidden="true">${front.join("")}</svg>`;

optional-skills/creative/anatomy/scripts/capture.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 144
    };   try {     const target = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();
  • Network accessline 145
    try {     const target = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();     const socket = new WebSocket(target.webSocketDebuggerUrl);
  • Network accessline 146
    const target = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();

optional-skills/creative/anatomy/scripts/drive.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 144
    };   try {     const page = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();
  • Network accessline 145
    try {     const page = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();     const socket = new WebSocket(page.webSocketDebuggerUrl);
  • Network accessline 146
    const page = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();

optional-skills/creative/anatomy/scripts/inline-kit.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/scripts/line-ends.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 254
    problems.sort((a, b) => b.gap - a.gap);   if (show) {     const ns = "http://www.w3.org/2000/svg";
  • Network accessline 255
    if (show) {     const ns = "http://www.w3.org/2000/svg";     const overlay = document.createElementNS(ns, "svg");
  • Network accessline 256
    const ns = "http://www.w3.org/2000/svg";

optional-skills/creative/anatomy/scripts/lines.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/scripts/turn-bench.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/anatomy/scripts/turn-check.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 62
    });   });   const page = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();
  • Network accessline 63
    });   const page = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();   const socket = new WebSocket(page.webSocketDebuggerUrl);
  • Network accessline 64
    const page = await (await fetch(`http://127.0.0.1:${port}/json/new?about:blank`, { method: "PUT" })).json();
  • Network accessline 297
    }     }     return '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ' + W + " " + H + '" width="' + w + '" height="' + h + '" shape-rendering="crispEdges"><rect width="100%" height="100%" fill="rgb(0,0,0)"/>' + out.join("") + "</svg>";
  • Network accessline 298
    }     return '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ' + W + " " + H + '" width="' + w + '" height="' + h + '" shape-rendering="crispEdges"><rect width="100%" height="100%" fill="rgb(0,0,0)"/>' + out.join("") + "</svg>";   };
  • Network accessline 299
    return '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ' + W + " " + H + '" width="' + w + '" height="' + h + '" shape-rendering="crispEdges"><rect width="100%" height="100%" fill="rgb(0,0,0)"/>' + out.join("") + "</svg>";
  • Network accessline 369
    const h = H * SCALE;   let hidden = null;   const svgString = () => '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ' + W + " " + H + '" width="' + w + '" height="' + h + '" class="iso iso-svg" data-theme="' + theme + '" style="--anat
  • Network accessline 370
    let hidden = null;   const svgString = () => '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ' + W + " " + H + '" width="' + w + '" height="' + h + '" class="iso iso-svg" data-theme="' + theme + '" style="--anatomy-paper:var(--anatomy
  • Network accessline 371
    const svgString = () => '<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 ' + W + " " + H + '" width="' + w + '" height="' + h + '" class="iso iso-svg" data-theme="' + theme + '" style="--anatomy-paper:var(--anatomy-card)"><style>' + cs
  • Network accessline 610
    if (argv.includes("--lines")) {       const angles = Array.from({ length: 24 }, (_, i) => i * 15);       const planted = await page.evaluate(`(() => { window.__isoTurn.set(0); const part = document.querySelector("svg[data-live] [data-p]"); 
  • Network accessline 611
    const angles = Array.from({ length: 24 }, (_, i) => i * 15);       const planted = await page.evaluate(`(() => { window.__isoTurn.set(0); const part = document.querySelector("svg[data-live] [data-p]"); const el = document.createElementNS("h
  • Network accessline 612
    const planted = await page.evaluate(`(() => { window.__isoTurn.set(0); const part = document.querySelector("svg[data-live] [data-p]"); const el = document.createElementNS("http://www.w3.org/2000/svg", "path"); el.setAttribute("class", "iso-

optional-skills/creative/anatomy/scripts/turn-fidelity.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/archify/SKILL.md

  • Network accessline 20
    > **Catalog stub.** This entry is maintained upstream at > [tt-a1i/archify](https://github.com/tt-a1i/archify): the project ships a
  • Network accessline 21
    > [tt-a1i/archify](https://github.com/tt-a1i/archify): the project ships a
  • Network accessline 52
    Full documentation: https://github.com/tt-a1i/archify#readme

optional-skills/creative/ascii-art/SKILL.md

  • Network accessline 64
    # Basic text banner (default font) curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello+World"
  • Network accessline 65
    curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello+World"
  • Network accessline 67
    # With a specific font curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Slant"
  • Network accessline 68
    curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Slant"
  • Network accessline 69
    curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Doom"
  • Network accessline 70
    curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Star+Wars"
  • Network accessline 71
    curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=3-D"
  • Network accessline 72
    curl -s "https://asciified.thelicato.io/api/v2/ascii?text=Hello&font=Banner3"
  • Network accessline 74
    # List all available fonts (returns JSON array) curl -s "https://asciified.thelicato.io/api/v2/fonts"
  • Network accessline 75
    curl -s "https://asciified.thelicato.io/api/v2/fonts"
  • Network accessline 81
    - The response is plain text ASCII art — no JSON wrapping, ready to display - Font names are case-sensitive; use the fonts endpoint to get exact names - Works from any terminal with curl — no Python or pip needed
  • Network accessline 83
    - Works from any terminal with curl — no Python or pip needed
  • Dangerous shell operationline 92
    sudo apt install cowsay -y    # Debian/Ubuntu
  • Dangerous shell operationline 136
    sudo apt install boxes -y    # Debian/Ubuntu
  • Network accessline 159
    python -m pyfiglet "HERMES" -f slant | boxes -d stone # Or without pyfiglet installed: curl -s "https://asciified.thelicato.io/api/v2/ascii?text=HERMES&font=Slant" | boxes -d stone
  • Network accessline 161
    curl -s "https://asciified.thelicato.io/api/v2/ascii?text=HERMES&font=Slant" | boxes -d stone
  • Dangerous shell operationline 171
    sudo apt install toilet toilet-fonts -y    # Debian/Ubuntu
  • Dangerous shell operationline 202
    sudo snap install ascii-image-converter
  • Network accessline 210
    ascii-image-converter image.png -b               # Braille characters ascii-image-converter image.png -n               # Negative/inverted ascii-image-converter https://url/image.jpg      # Direct URL
  • Network accessline 211
    ascii-image-converter image.png -n               # Negative/inverted ascii-image-converter https://url/image.jpg      # Direct URL ascii-image-converter image.png --save-txt out   # Save as text
  • Network accessline 212
    ascii-image-converter https://url/image.jpg      # Direct URL
  • Dangerous shell operationline 219
    sudo apt install jp2a -y
  • Network accessline 232
    **URL pattern:** `https://ascii.co.uk/art/{subject}`
  • Network accessline 237
    curl -s 'https://ascii.co.uk/art/cat' -o ~/.hermes/cache/scratch/ascii_art.html
  • Network accessline 272
    curl -s https://api.github.com/octocat
  • Network accessline 282
    curl -s "qrenco.de/Hello+World"
  • Network accessline 283
    curl -s "qrenco.de/https://example.com"
  • Network accessline 289
    curl -s "wttr.in/London"          # Full weather report with ASCII graphics
  • Network accessline 290
    curl -s "wttr.in/Moon"            # Moon phase in ASCII art
  • Network accessline 291
    curl -s "v2.wttr.in/London"       # Detailed version
  • Network accessline 314
    1. **Text as a banner** → pyfiglet if installed, otherwise asciified API via curl 2. **Wrap a message in fun character art** → cowsay
  • Network accessline 315
    2. **Wrap a message in fun character art** → cowsay 3. **Add decorative border/frame** → boxes (can combine with pyfiglet/asciified) 4. **Art of a specific thing** (cat, rocket, dragon) → ascii.co.uk via curl + parsing
  • Network accessline 316
    3. **Add decorative border/frame** → boxes (can combine with pyfiglet/asciified) 4. **Art of a specific thing** (cat, rocket, dragon) → ascii.co.uk via curl + parsing 5. **Convert an image to ASCII** → ascii-image-converter or jp2a
  • Network accessline 317
    4. **Art of a specific thing** (cat, rocket, dragon) → ascii.co.uk via curl + parsing
  • Network accessline 318
    5. **Convert an image to ASCII** → ascii-image-converter or jp2a 6. **QR code** → qrenco.de via curl 7. **Weather/moon art** → wttr.in via curl
  • Network accessline 319
    6. **QR code** → qrenco.de via curl 7. **Weather/moon art** → wttr.in via curl 8. **Something custom/creative** → LLM generation with Unicode palette
  • Network accessline 320
    7. **Weather/moon art** → wttr.in via curl 8. **Something custom/creative** → LLM generation with Unicode palette 9. **Any tool not installed** → install it, or fall back to next option

optional-skills/creative/auteur/LICENSE

  • Network accessline 1
    auteur — ported from https://github.com/agiwhitelist/auteur
  • Network accessline 2
    Upstream snapshot: commit 9bca227df9877e60dc45d49783c8cbd885eccd9b (2026-08-06) Upstream author / copyright holder: agiwhitelist (https://github.com/agiwhitelist) The MIT license text below is reproduced verbatim from the upstream LICENSE.
  • Network accessline 3
    Upstream author / copyright holder: agiwhitelist (https://github.com/agiwhitelist)

optional-skills/creative/auteur/SKILL.md

  • Network accessline 3
    description: Design and build cinematic, award-level web pages. version: 1.3.1 author: agiwhitelist (https://github.com/agiwhitelist, upstream agiwhitelist/auteur), ported by Hermes Agent
  • Network accessline 4
    version: 1.3.1 author: agiwhitelist (https://github.com/agiwhitelist, upstream agiwhitelist/auteur), ported by Hermes Agent license: MIT
  • Network accessline 5
    author: agiwhitelist (https://github.com/agiwhitelist, upstream agiwhitelist/auteur), ported by Hermes Agent
  • Network accessline 11
    category: creative     related_skills: [popular-web-designs, design-md, p5js]     upstream: https://github.com/agiwhitelist/auteur (pinned 9bca227d)
  • Network accessline 12
    related_skills: [popular-web-designs, design-md, p5js]     upstream: https://github.com/agiwhitelist/auteur (pinned 9bca227d) ---
  • Network accessline 13
    upstream: https://github.com/agiwhitelist/auteur (pinned 9bca227d)
  • Network accessline 18
    > Ported from [agiwhitelist/auteur](https://github.com/agiwhitelist/auteur) (MIT), snapshot
  • Network accessline 19
    > commit [`9bca227d`](https://github.com/agiwhitelist/auteur/commit/9bca227df9877e60dc45d49783c8cbd885eccd9b)

optional-skills/creative/auteur/references/ambient-backgrounds.md

  • Network accessline 72
    .amb-grain{position:fixed;inset:0;z-index:0;pointer-events:none;opacity:.05;   background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='160' height='160'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoi
  • Network accessline 73
    background-image:url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='160' height='160'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.82' numOctaves='2' stitchTiles='stitch'/%3E%3C/filter%3E%3
  • Dangerous shell operationline 107
    requestAnimationFrame(frame); // RM draws one still frame and stops
  • Dangerous shell operationline 124
    // per frame: y -= 0.00006 (wrap), draw each at alpha .07 in the brand hue; RM → draw once.

optional-skills/creative/auteur/references/assets.md

  • Access to secretsline 13
    [Credential-related source omitted]
  • Access to secretsline 230
    [Credential-related source omitted]

optional-skills/creative/auteur/references/recon.md

  • Network accessline 33
    # or profile sites you already know / found with web_search node scripts/refscout.mjs https://a.com https://b.com --shots 4
  • Network accessline 34
    node scripts/refscout.mjs https://a.com https://b.com --shots 4

optional-skills/creative/auteur/references/scroll-cinema.md

  • Network accessline 484
    const draco = new DRACOLoader() draco.setDecoderPath('https://www.gstatic.com/draco/versioned/decoders/1.5.7/')
  • Network accessline 485
    draco.setDecoderPath('https://www.gstatic.com/draco/versioned/decoders/1.5.7/')
  • Network accessline 568
    a.addEventListener('click', async e => {     e.preventDefault()     navigate(await (await fetch(a.href)).text())
  • Network accessline 569
    e.preventDefault()     navigate(await (await fetch(a.href)).text())   })
  • Network accessline 570
    navigate(await (await fetch(a.href)).text())

optional-skills/creative/auteur/references/system.md

  • Network accessline 102
    node scripts/systemscan.mjs http://localhost:3000 --routes /,/settings,/billing,/team

optional-skills/creative/auteur/references/verify.md

  • Network accessline 119
    node scripts/systemscan.mjs http://localhost:3000 --routes /,/settings,/billing,/team

optional-skills/creative/auteur/scripts/chromadiff.mjs

  • Executable scriptline 1
    #!/usr/bin/env node

optional-skills/creative/auteur/scripts/moodboard.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 68
    const out = [];   try {     await open(page, 'https://www.bing.com/images/search?q=' + encodeURIComponent(q) + '&form=HDRSC2', 3500);
  • Network accessline 69
    try {     await open(page, 'https://www.bing.com/images/search?q=' + encodeURIComponent(q) + '&form=HDRSC2', 3500);     for (let pass = 0; pass < 3 && out.length < want; pass++) {
  • Network accessline 70
    await open(page, 'https://www.bing.com/images/search?q=' + encodeURIComponent(q) + '&form=HDRSC2', 3500);
  • Network accessline 88
    const out = [];   try {     await open(page, 'https://www.pinterest.com/search/pins/?q=' + encodeURIComponent(q) + '&rs=typed', 6000);
  • Network accessline 89
    try {     await open(page, 'https://www.pinterest.com/search/pins/?q=' + encodeURIComponent(q) + '&rs=typed', 6000);     for (let pass = 0; pass < 4 && out.length < want; pass++) {
  • Network accessline 90
    await open(page, 'https://www.pinterest.com/search/pins/?q=' + encodeURIComponent(q) + '&rs=typed', 6000);
  • Network accessline 98
    const img = it.src.replace(/\/\d+x\//, '/736x/');         if (out.length >= want) break;         if (!out.some(o => o.img === img)) out.push({ img, thumb: it.src, page: it.pin ? 'https://www.pinterest.com' + it.pin : 'https://www.pinterest.
  • Network accessline 99
    if (out.length >= want) break;         if (!out.some(o => o.img === img)) out.push({ img, thumb: it.src, page: it.pin ? 'https://www.pinterest.com' + it.pin : 'https://www.pinterest.com/search/pins/?q=' + encodeURIComponent(q), source: 'pin
  • Network accessline 100
    if (!out.some(o => o.img === img)) out.push({ img, thumb: it.src, page: it.pin ? 'https://www.pinterest.com' + it.pin : 'https://www.pinterest.com/search/pins/?q=' + encodeURIComponent(q), source: 'pinterest' });
  • Network accessline 112
    const out = [];   try {     const res = await ctx.request.get(`https://api.are.na/v2/search?q=${encodeURIComponent(q)}&per=${Math.min(want * 2, 40)}`, { timeout: 20_000 });
  • Network accessline 113
    try {     const res = await ctx.request.get(`https://api.are.na/v2/search?q=${encodeURIComponent(q)}&per=${Math.min(want * 2, 40)}`, { timeout: 20_000 });     const json = await res.json();
  • Network accessline 114
    const res = await ctx.request.get(`https://api.are.na/v2/search?q=${encodeURIComponent(q)}&per=${Math.min(want * 2, 40)}`, { timeout: 20_000 });
  • Network accessline 117
    const img = b.image?.large?.url || b.image?.display?.url || b.image?.original?.url;       if (!img || out.length >= want) continue;       out.push({ img, thumb: b.image?.thumb?.url, page: `https://www.are.na/block/${b.id}`, source: 'arena',
  • Network accessline 118
    if (!img || out.length >= want) continue;       out.push({ img, thumb: b.image?.thumb?.url, page: `https://www.are.na/block/${b.id}`, source: 'arena', title: b.title });     }
  • Network accessline 119
    out.push({ img, thumb: b.image?.thumb?.url, page: `https://www.are.na/block/${b.id}`, source: 'arena', title: b.title });

optional-skills/creative/auteur/scripts/motionqa.mjs

  • Executable scriptline 1
    #!/usr/bin/env node

optional-skills/creative/auteur/scripts/refscout.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 284
    async function harvestAwwwards(ctx, tag, text, n) {   const page = await ctx.newPage();   const base = 'https://www.awwwards.com/websites/';
  • Network accessline 285
    const page = await ctx.newPage();   const base = 'https://www.awwwards.com/websites/';   const url = text ? `${base}?text=${encodeURIComponent(text)}` : tag ? `${base}${tag}/` : base;
  • Network accessline 286
    const base = 'https://www.awwwards.com/websites/';
  • Network accessline 294
    for (const slug of slugs.slice(0, n)) {       try {         await open(page, 'https://www.awwwards.com' + slug, 3500);
  • Network accessline 295
    try {         await open(page, 'https://www.awwwards.com' + slug, 3500);         const d = await page.evaluate(() => {
  • Network accessline 296
    await open(page, 'https://www.awwwards.com' + slug, 3500);

optional-skills/creative/auteur/scripts/shoot.mjs

  • Executable scriptline 1
    #!/usr/bin/env node

optional-skills/creative/auteur/scripts/slopscan.mjs

  • Executable scriptline 1
    #!/usr/bin/env node

optional-skills/creative/auteur/scripts/source.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 73
    async function json(url) {   const r = await fetch(url, { headers: H, signal: AbortSignal.timeout(45_000) });
  • Network accessline 74
    const r = await fetch(url, { headers: H, signal: AbortSignal.timeout(45_000) });
  • Network accessline 77
    } async function text(url) {   const r = await fetch(url, { headers: H, signal: AbortSignal.timeout(45_000) });
  • Network accessline 78
    async function text(url) {   const r = await fetch(url, { headers: H, signal: AbortSignal.timeout(45_000) });   if (!r.ok) throw new Error(`${r.status} ${url.slice(0, 70)}`);
  • Network accessline 79
    const r = await fetch(url, { headers: H, signal: AbortSignal.timeout(45_000) });
  • Network accessline 95
    async function polyhaven(type) {   const all = await json(`https://api.polyhaven.com/assets?t=${type}`);
  • Network accessline 96
    const all = await json(`https://api.polyhaven.com/assets?t=${type}`);
  • Network accessline 106
    const out = [];   for (const { slug, a, score } of ranked) {     const files = await json(`https://api.polyhaven.com/files/${slug}`).catch(() => null);
  • Network accessline 107
    for (const { slug, a, score } of ranked) {     const files = await json(`https://api.polyhaven.com/files/${slug}`).catch(() => null);     if (!files) continue;
  • Network accessline 108
    const files = await json(`https://api.polyhaven.com/files/${slug}`).catch(() => null);
  • Network accessline 114
    attribution: null,                                   // CC0: none required       credit: Object.keys(a.authors || {}).join(', '),       landing: `https://polyhaven.com/a/${slug}`,
  • Network accessline 115
    credit: Object.keys(a.authors || {}).join(', '),       landing: `https://polyhaven.com/a/${slug}`,       note: [a.categories?.join('/'), Object.entries(a.attributes || {}).map(([k, v]) => `${k}=${v}`).join(' ')].filter(Boolean).join(' · '),
  • Network accessline 116
    landing: `https://polyhaven.com/a/${slug}`,
  • Network accessline 145
    async function icons() {   const collections = await json('https://api.iconify.design/collections').catch(() => ({}));
  • Network accessline 146
    const collections = await json('https://api.iconify.design/collections').catch(() => ({}));
  • Network accessline 150
    for (const term of terms) {     if (out.length >= limit) break;     const r = await json(`https://api.iconify.design/search?query=${encodeURIComponent(term)}&limit=${limit * 4}`).catch(() => null);
  • Network accessline 151
    if (out.length >= limit) break;     const r = await json(`https://api.iconify.design/search?query=${encodeURIComponent(term)}&limit=${limit * 4}`).catch(() => null);     for (const id of r?.icons || []) {
  • Network accessline 152
    const r = await json(`https://api.iconify.design/search?query=${encodeURIComponent(term)}&limit=${limit * 4}`).catch(() => null);
  • Network accessline 160
    licence: c.license?.title || 'unknown',         attribution: /CC.?BY/i.test(c.license?.title || '') ? `Icon "${name}" from ${c.name || set} — ${c.license?.title}` : null,         credit: c.author?.name || '', landing: c.license?.url || `htt
  • Network accessline 161
    attribution: /CC.?BY/i.test(c.license?.title || '') ? `Icon "${name}" from ${c.name || set} — ${c.license?.title}` : null,         credit: c.author?.name || '', landing: c.license?.url || `https://icon-sets.iconify.design/${set}/`,         
  • Network accessline 162
    credit: c.author?.name || '', landing: c.license?.url || `https://icon-sets.iconify.design/${set}/`,
  • Network accessline 163
    note: `set has ${c.total || '?'} icons`,         files: [{ url: `https://api.iconify.design/${set}/${name}.svg?height=64`, path: `${set}-${name}.svg` }],       });
  • Network accessline 164
    files: [{ url: `https://api.iconify.design/${set}/${name}.svg?height=64`, path: `${set}-${name}.svg` }],
  • Network accessline 178
    if (existsSync(cacheFile)) meta = JSON.parse(await readFile(cacheFile, 'utf8'));   else {     meta = JSON.parse((await text('https://fonts.google.com/metadata/fonts')).replace(/^\)\]\}'\n?/, ''));
  • Network accessline 180
    meta = JSON.parse((await text('https://fonts.google.com/metadata/fonts')).replace(/^\)\]\}'\n?/, ''));
  • Network accessline 234
    id: f.family, title: `${f.family} (${f.category})`,       licence: 'OFL / Apache-2.0 (Google Fonts)', attribution: null, credit: '',       landing: `https://fonts.google.com/specimen/${f.family.replace(/ /g, '+')}`,
  • Network accessline 235
    licence: 'OFL / Apache-2.0 (Google Fonts)', attribution: null, credit: '',       landing: `https://fonts.google.com/specimen/${f.family.replace(/ /g, '+')}`,       note: `${banned ? '⛔ ON THE AUTEUR BAN LIST — pick something else. ' : ''}po
  • Network accessline 236
    landing: `https://fonts.google.com/specimen/${f.family.replace(/ /g, '+')}`,
  • Network accessline 237
    note: `${banned ? '⛔ ON THE AUTEUR BAN LIST — pick something else. ' : ''}popularity #${f.popularity ?? '?'} · weights ${Object.keys(f.fonts || {}).length}${axes ? ` · variable: ${axes}` : ' · static only'}`,       css: `https://fonts.googl
  • Network accessline 238
    css: `https://fonts.googleapis.com/css2?family=${spec}&display=swap`,
  • Network accessline 265
    const r = await json(`https://api.openverse.org/v1/images/?q=${encodeURIComponent(query)}&page_size=${limit}&license_type=commercial,modification`);
  • Network accessline 279
    async function videos() {   let html;   try { html = await text(`https://coverr.co/s?q=${encodeURIComponent(query)}`); }
  • Network accessline 280
    let html;   try { html = await text(`https://coverr.co/s?q=${encodeURIComponent(query)}`); }   catch (e) { console.error(`[source] coverr: ${e.message}`); return []; }
  • Network accessline 281
    try { html = await text(`https://coverr.co/s?q=${encodeURIComponent(query)}`); }
  • Network accessline 295
    licence: 'Coverr License — free commercial use, redistribution prohibited',     attribution: null, credit: 'Coverr',     landing: `https://coverr.co/videos/${slug}`,
  • Network accessline 296
    attribution: null, credit: 'Coverr',     landing: `https://coverr.co/videos/${slug}`,     note: `${res} · ⚠ stock — ambient loop / texture / fallback only, never the peak scene`,
  • Network accessline 297
    landing: `https://coverr.co/videos/${slug}`,
  • Network accessline 338
    if (existsSync(dest)) { f.skipped = true; continue; }  // never re-download a cached master       try {         const r = await fetch(f.url, { headers: { ...H, Referer: it.landing || '' }, signal: AbortSignal.timeout(120_000) });
  • Network accessline 339
    try {         const r = await fetch(f.url, { headers: { ...H, Referer: it.landing || '' }, signal: AbortSignal.timeout(120_000) });         if (!r.ok) { f.error = `HTTP ${r.status}`; continue; }
  • Network accessline 340
    const r = await fetch(f.url, { headers: { ...H, Referer: it.landing || '' }, signal: AbortSignal.timeout(120_000) });

optional-skills/creative/auteur/scripts/systemscan.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 10
    * Usage:  *   node scripts/systemscan.mjs <url> [<url>...]  *   node scripts/systemscan.mjs http://localhost:3000 --routes /,/settings,/billing
  • Network accessline 11
    *   node scripts/systemscan.mjs <url> [<url>...]  *   node scripts/systemscan.mjs http://localhost:3000 --routes /,/settings,/billing  *
  • Network accessline 12
    *   node scripts/systemscan.mjs http://localhost:3000 --routes /,/settings,/billing
  • Network accessline 33
    node scripts/systemscan.mjs <url> [<url>...]   node scripts/systemscan.mjs http://localhost:3000 --routes /,/settings,/billing
  • Network accessline 34
    node scripts/systemscan.mjs http://localhost:3000 --routes /,/settings,/billing

optional-skills/creative/auteur/templates/scroll-flight-engine.js

  • Executable scriptline 1
    Executable file
  • Network accessline 292
    const url = (phoneClass && s.clipM) ? s.clipM : s.clip;     fetch(url).then(r => r.ok ? r.blob() : Promise.reject(new Error('404')))
  • Network accessline 293
    fetch(url).then(r => r.ok ? r.blob() : Promise.reject(new Error('404')))

optional-skills/creative/baoyu-article-illustrator/PORT_NOTES.md

  • Network accessline 3
    Ported from [JimLiu/baoyu-skills](https://github.com/JimLiu/baoyu-skills) v1.57.0.
  • Network accessline 40
    # Compare versions curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-article-illustrator/SKILL.md | head -5
  • Network accessline 41
    curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-article-illustrator/SKILL.md | head -5
  • Network accessline 44
    # Diff style/palette files (safe to overwrite — unchanged from upstream) diff <(curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-article-illustrator/references/styles/blueprint.md) references/styles/blueprint
  • Network accessline 45
    diff <(curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-article-illustrator/references/styles/blueprint.md) references/styles/blueprint.md

optional-skills/creative/baoyu-article-illustrator/SKILL.md

  • Network accessline 10
    tags: [article-illustration, creative, image-generation]     category: creative     homepage: https://github.com/JimLiu/baoyu-skills#baoyu-article-illustrator
  • Network accessline 11
    category: creative     homepage: https://github.com/JimLiu/baoyu-skills#baoyu-article-illustrator ---
  • Network accessline 12
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-article-illustrator
  • Network accessline 17
    Adapted from [baoyu-article-illustrator](https://github.com/JimLiu/baoyu-skills) for Hermes Agent's tool ecosystem.
  • Network accessline 162
    1. Call `image_generate(prompt=..., aspect_ratio=...)`. `image_generate` returns a JSON result containing an image URL; it does NOT write to disk and does NOT accept an output path. 2. Map the prompt's `ASPECT` to `image_generate`'s enum: `
  • Network accessline 163
    2. Map the prompt's `ASPECT` to `image_generate`'s enum: `16:9` → `landscape`, `9:16` → `portrait`, `1:1` → `square`. Custom ratios → nearest named aspect. 3. Download the returned URL to `{output-dir}/NN-{type}-{slug}.png` via `terminal` (
  • Network accessline 164
    3. Download the returned URL to `{output-dir}/NN-{type}-{slug}.png` via `terminal` (e.g. `curl -sSL -o "{output-dir}/NN-{type}-{slug}.png" "{url}"`).

optional-skills/creative/baoyu-article-illustrator/references/workflow.md

  • Network accessline 24
    1. Call `vision_analyze(image_url=..., question="Describe the style, color palette (with hex approximations), composition, and subject so this can be used as a style/palette reference for another illustration.")`. 2. Write `{output-dir}/ref
  • Network accessline 25
    2. Write `{output-dir}/references/NN-ref-{slug}.md` via `write_file` with the description. 3. (Optional) Run `terminal` with `cp` (or `curl -sSL -o ...` for URLs) to keep a local binary copy. Not required by the skill. 4. Mark the reference
  • Network accessline 26
    3. (Optional) Run `terminal` with `cp` (or `curl -sSL -o ...` for URLs) to keep a local binary copy. Not required by the skill.
  • Network accessline 291
    curl -sSL -o "{output-dir}/NN-{type}-{slug}.png" "{image_url}"
  • Network accessline 293
    If `curl` is unavailable, fall back to `wget -qO "{output-dir}/NN-{type}-{slug}.png" "{image_url}"`.

optional-skills/creative/baoyu-comic/PORT_NOTES.md

  • Network accessline 3
    Ported from [JimLiu/baoyu-skills](https://github.com/JimLiu/baoyu-skills) v1.56.1.
  • Network accessline 36
    - **User-supplied reference images** are reduced to `style` / `palette` / `scene` trait extraction — traits are embedded in the prompt body; the image files themselves are kept only for provenance under `refs/`. - **Page prompts** now manda
  • Network accessline 38
    - **Download step** — after every `image_generate` call, the returned URL is fetched to disk (e.g., `curl -fsSL "<url>" -o <target>.png`) and verified before the workflow advances.
  • Network accessline 66
    # Compare versions curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-comic/SKILL.md | head -5
  • Network accessline 67
    curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-comic/SKILL.md | head -5
  • Network accessline 70
    # Diff a reference file diff <(curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-comic/references/art-styles/manga.md) \
  • Network accessline 71
    diff <(curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-comic/references/art-styles/manga.md) \

optional-skills/creative/baoyu-comic/SKILL.md

  • Network accessline 9
    hermes:     tags: [comic, knowledge-comic, creative, image-generation]     homepage: https://github.com/JimLiu/baoyu-skills#baoyu-comic
  • Network accessline 10
    tags: [comic, knowledge-comic, creative, image-generation]     homepage: https://github.com/JimLiu/baoyu-skills#baoyu-comic ---
  • Network accessline 11
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-comic
  • Network accessline 16
    Adapted from [baoyu-comic](https://github.com/JimLiu/baoyu-skills) for Hermes Agent's tool ecosystem.
  • Network accessline 194
    1. Read the URL from the tool result 2. Fetch the image bytes using an **absolute** output path, e.g.    `curl -fsSL "<url>" -o /abs/path/to/comic/<slug>/NN-page-<slug>.png`
  • Network accessline 195
    2. Fetch the image bytes using an **absolute** output path, e.g.    `curl -fsSL "<url>" -o /abs/path/to/comic/<slug>/NN-page-<slug>.png` 3. Verify the file exists and is non-empty at that exact path before proceeding to the next page
  • Network accessline 196
    `curl -fsSL "<url>" -o /abs/path/to/comic/<slug>/NN-page-<slug>.png`
  • Network accessline 199
    **Never rely on shell CWD persistence for `-o` paths.** The terminal tool's persistent-shell CWD can change between batches (session expiry, `TERMINAL_LIFETIME_SECONDS`, a failed `cd` that leaves you in the wrong directory). `curl -o relati
  • Network accessline 240
    - Image generation: 10-30 seconds per page; auto-retry once on failure - **Always download** the URL returned by `image_generate` to a local PNG — downstream tooling (and the user's review) expects files in the output directory, not ephemer
  • Network accessline 241
    - **Always download** the URL returned by `image_generate` to a local PNG — downstream tooling (and the user's review) expects files in the output directory, not ephemeral URLs - **Use absolute paths for `curl -o`** — never rely on persiste
  • Network accessline 242
    - **Use absolute paths for `curl -o`** — never rely on persistent-shell CWD across batches. Silent footgun: files land in the wrong directory and subsequent `ls` on the intended path shows nothing. See Step 7 "Download step".

optional-skills/creative/baoyu-comic/references/workflow.md

  • Network accessline 323
    1. Extract the `url` field from the tool result 2. Fetch it to disk, e.g. `curl -fsSL "<url>" -o comic/{slug}/<target>.png`
  • Network accessline 324
    2. Fetch it to disk, e.g. `curl -fsSL "<url>" -o comic/{slug}/<target>.png`

optional-skills/creative/brag-slim/SKILL.md

  • Network accessline 20
    > **Catalog stub.** This entry is maintained upstream at > [latent-spaces/brag](https://github.com/latent-spaces/brag): the project
  • Network accessline 21
    > [latent-spaces/brag](https://github.com/latent-spaces/brag): the project
  • Network accessline 46
    Full documentation: https://github.com/latent-spaces/brag#readme

optional-skills/creative/brag/SKILL.md

  • Network accessline 20
    > **Catalog stub.** This entry is maintained upstream at > [latent-spaces/brag](https://github.com/latent-spaces/brag): the project
  • Network accessline 21
    > [latent-spaces/brag](https://github.com/latent-spaces/brag): the project
  • Network accessline 59
    Full documentation: https://github.com/latent-spaces/brag#readme

optional-skills/creative/comfyui/SKILL.md

  • Network accessline 44
    (`values.a`, `resize_type.width`), Cloud quirks (302 redirect, 1 concurrent   free-tier job, 1080p VRAM ceiling), Discord-compatible ffmpeg stitch.   Authored by [@purzbeats](https://github.com/purzbeats). Load this whenever
  • Network accessline 45
    free-tier job, 1080p VRAM ceiling), Discord-compatible ffmpeg stitch.   Authored by [@purzbeats](https://github.com/purzbeats). Load this whenever   you're starting from an official template.
  • Network accessline 46
    Authored by [@purzbeats](https://github.com/purzbeats). Load this whenever
  • Network accessline 105
    # What's available? command -v comfy >/dev/null 2>&1 && echo "comfy-cli: installed" curl -s http://127.0.0.1:8188/system_stats 2>/dev/null && echo "server: running"
  • Network accessline 107
    curl -s http://127.0.0.1:8188/system_stats 2>/dev/null && echo "server: running"
  • Network accessline 151
    # Local (defaults to http://127.0.0.1:8188)
  • Access to secretsline 158
    [Credential-related source omitted]
  • Network accessline 159
    python scripts/run_workflow.py    --workflow workflow_api.json    --args '{"prompt": "..."}'    --host https://cloud.comfy.org
  • Network accessline 160
    --workflow workflow_api.json \   --args '{"prompt": "..."}' \   --host https://cloud.comfy.org \
  • Network accessline 161
    --args '{"prompt": "..."}' \   --host https://cloud.comfy.org \   --output-dir ./outputs
  • Network accessline 162
    --host https://cloud.comfy.org \
  • Network accessline 224
    | "fetch the error from job X" | script | `fetch_logs.py <prompt_id>` | | **Direct REST** | | | | "what's in the queue?" | REST | `curl http://HOST:8188/queue` (local) or `--host https://cloud.comfy.org` |
  • Network accessline 225
    | **Direct REST** | | | | "what's in the queue?" | REST | `curl http://HOST:8188/queue` (local) or `--host https://cloud.comfy.org` | | "cancel that" | REST | `curl -X POST http://HOST:8188/interrupt` |
  • Network accessline 226
    | "what's in the queue?" | REST | `curl http://HOST:8188/queue` (local) or `--host https://cloud.comfy.org` |
  • Network accessline 227
    | "cancel that" | REST | `curl -X POST http://HOST:8188/interrupt` |
  • Network accessline 228
    | "free GPU memory" | REST | `curl -X POST http://HOST:8188/free` |
  • Network accessline 237
    **Official docs:** https://docs.comfy.org/installation
  • Network accessline 238
    **CLI docs:** https://docs.comfy.org/comfy-cli/getting-started
  • Network accessline 239
    **Cloud docs:** https://docs.comfy.org/get_started/cloud
  • Network accessline 240
    **Cloud API:** https://docs.comfy.org/development/cloud/overview
  • Network accessline 320
    **Docs:** https://docs.comfy.org/get_started/cloud
  • Network accessline 322
    1. Sign up at https://comfy.org/cloud
  • Network accessline 323
    2. Generate an API key at https://platform.comfy.org/login
  • Access to secretsline 326
    [Credential-related source omitted]
  • Network accessline 330
    python scripts/run_workflow.py       --workflow workflows/flux_dev_txt2img.json       --args '{"prompt": "..."}'       --host https://cloud.comfy.org
  • Network accessline 332
    --args '{"prompt": "..."}' \      --host https://cloud.comfy.org \
  • Network accessline 333
    --host https://cloud.comfy.org \
  • Network accessline 337
    **Pricing:** https://www.comfy.org/cloud/pricing
  • Network accessline 348
    **Docs:** https://docs.comfy.org/installation/desktop - **Windows (NVIDIA):** https://download.comfy.org/windows/nsis/x64
  • Network accessline 349
    - **Windows (NVIDIA):** https://download.comfy.org/windows/nsis/x64
  • Network accessline 350
    - **macOS (Apple Silicon):** https://comfy.org
  • Network accessline 358
    **Docs:** https://docs.comfy.org/installation/comfyui_portable_windows
  • Network accessline 360
    Download from https://github.com/comfyanonymous/ComfyUI/releases, extract,
  • Network accessline 369
    **Docs:** https://docs.comfy.org/comfy-cli/getting-started
  • Network accessline 403
    comfy launch --background                       # background daemon on :8188 comfy launch -- --listen 0.0.0.0 --port 8190    # LAN-accessible custom port curl -s http://127.0.0.1:8188/system_stats      # health check
  • Network accessline 405
    curl -s http://127.0.0.1:8188/system_stats      # health check
  • Network accessline 414
    **Docs:** https://docs.comfy.org/installation/manual_install
  • Network accessline 417
    git clone https://github.com/comfyanonymous/ComfyUI.git cd ComfyUI pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130
  • Network accessline 418
    cd ComfyUI pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130 pip install -r requirements.txt
  • Network accessline 419
    pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu130
  • Network accessline 429
    # SDXL (general purpose, ~6.5 GB) comfy model download \   --url "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors" \
  • Network accessline 430
    comfy model download    --url "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors"
  • Network accessline 431
    --url "https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors" \
  • Network accessline 434
    # SD 1.5 (lighter, ~4 GB, good for 6 GB cards) comfy model download \   --url "https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" \
  • Network accessline 435
    comfy model download    --url "https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors"
  • Network accessline 436
    --url "https://huggingface.co/stable-diffusion-v1-5/stable-diffusion-v1-5/resolve/main/v1-5-pruned-emaonly.safetensors" \
  • Network accessline 439
    # Flux Dev fp8 (smaller variant, ~12 GB) comfy model download \   --url "https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors" \
  • Network accessline 440
    comfy model download    --url "https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors"
  • Network accessline 441
    --url "https://huggingface.co/Comfy-Org/flux1-dev/resolve/main/flux1-dev-fp8.safetensors" \
  • Network accessline 444
    # CivitAI (set token first): comfy model download \   --url "https://civitai.com/api/download/models/128713" \
  • Network accessline 445
    comfy model download    --url "https://civitai.com/api/download/models/128713"
  • Network accessline 446
    --url "https://civitai.com/api/download/models/128713" \
  • Network accessline 503
    curl -X POST "http://127.0.0.1:8188/upload/image" \
  • Network accessline 507
    # Cloud equivalent: curl -X POST "https://cloud.comfy.org/api/upload/image" \
  • Network accessline 508
    [Credential-related source omitted]
  • Access to secretsline 508
    [Credential-related source omitted]
  • Access to secretsline 509
    [Credential-related source omitted]
  • Network accessline 515
    - **Base URL:** `https://cloud.comfy.org`
  • Access to secretsline 517
    [Credential-related source omitted]
  • Network accessline 537
    # Local curl -s http://127.0.0.1:8188/queue | python -m json.tool
  • Dangerous shell operationline 538
    curl -s http://127.0.0.1:8188/queue | python -m json.tool
  • Network accessline 538
    curl -s http://127.0.0.1:8188/queue | python -m json.tool
  • Network accessline 539
    curl -X POST http://127.0.0.1:8188/queue -d '{"clear": true}'    # cancel pending
  • Network accessline 540
    curl -X POST http://127.0.0.1:8188/interrupt                      # cancel running
  • Network accessline 541
    curl -X POST http://127.0.0.1:8188/free \
  • Network accessline 545
    # Cloud — same paths under /api/, plus: python scripts/fetch_logs.py --tail-queue --host https://cloud.comfy.org
  • Network accessline 546
    python scripts/fetch_logs.py --tail-queue --host https://cloud.comfy.org
  • Network accessline 556
    2. **Server must be running** — all execution requires a live server.    `comfy launch --background` starts one. Verify with    `curl http://127.0.0.1:8188/system_stats`.
  • Network accessline 558
    `curl http://127.0.0.1:8188/system_stats`.
  • Network accessline 603
    - [ ] `hardware_check.py` verdict is `ok` OR the user explicitly chose Comfy Cloud - [ ] `comfy --version` works (or `uvx --from comfy-cli comfy --help`) - [ ] `curl http://HOST:PORT/system_stats` returns JSON
  • Network accessline 604
    - [ ] `comfy --version` works (or `uvx --from comfy-cli comfy --help`) - [ ] `curl http://HOST:PORT/system_stats` returns JSON - [ ] `comfy model list` shows at least one checkpoint (local) OR
  • Network accessline 605
    - [ ] `curl http://HOST:PORT/system_stats` returns JSON

optional-skills/creative/comfyui/references/official-cli.md

  • Network accessline 3
    Official CLI from [Comfy-Org/comfy-cli](https://github.com/Comfy-Org/comfy-cli).
  • Network accessline 4
    Docs: https://docs.comfy.org/comfy-cli/getting-started
  • Network accessline 249
    Custom-node registry: - https://registry.comfy.org/
  • Network accessline 250
    - https://registry.comfy.org/
  • Network accessline 252
    Model browsers: - https://huggingface.co/models
  • Network accessline 253
    - https://huggingface.co/models
  • Network accessline 254
    - https://civitai.com (NSFW; requires API token for many)
  • Network accessline 255
    - https://comfyworkflows.com (community workflows)

optional-skills/creative/comfyui/references/rest-api.md

  • Network accessline 9
    | | Local ComfyUI | Comfy Cloud | |---|---|---| | Base URL | `http://127.0.0.1:8188` | `https://cloud.comfy.org` |
  • Network accessline 10
    |---|---|---| | Base URL | `http://127.0.0.1:8188` | `https://cloud.comfy.org` | | API path prefix | none (`/prompt`, `/view`, …) | `/api/...` (`/api/prompt`, `/api/view`, …) |
  • Network accessline 11
    | Base URL | `http://127.0.0.1:8188` | `https://cloud.comfy.org` |
  • Network accessline 13
    [Credential-related source omitted]
  • Access to secretsline 14
    [Credential-related source omitted]
  • Network accessline 15
    | `/api/view` response | direct bytes | 302 redirect → signed URL (use `curl -L`) |
  • Network accessline 54
    # Local curl -X POST "http://127.0.0.1:8188/prompt" \
  • Network accessline 55
    curl -X POST "http://127.0.0.1:8188/prompt" \
  • Network accessline 59
    # Cloud curl -X POST "https://cloud.comfy.org/api/prompt" \
  • Network accessline 60
    [Credential-related source omitted]
  • Access to secretsline 60
    [Credential-related source omitted]
  • Access to secretsline 61
    [Credential-related source omitted]
  • Network accessline 77
    [Credential-related source omitted]
  • Access to secretsline 77
    [Credential-related source omitted]
  • Access to secretsline 78
    [Credential-related source omitted]
  • Network accessline 92
    [Credential-related source omitted]
  • Access to secretsline 92
    [Credential-related source omitted]
  • Access to secretsline 93
    [Credential-related source omitted]
  • Network accessline 103
    curl -s "http://127.0.0.1:8188/history"          # all
  • Network accessline 104
    curl -s "http://127.0.0.1:8188/history/{id}"     # one prompt_id
  • Network accessline 128
    # Local (direct bytes) curl -s "http://127.0.0.1:8188/view?filename=ComfyUI_00001_.png&subfolder=&type=output" \
  • Network accessline 129
    curl -s "http://127.0.0.1:8188/view?filename=ComfyUI_00001_.png&subfolder=&type=output" \
  • Network accessline 132
    # Cloud (302 → signed URL; -L follows; STRIP X-API-Key for the second hop) curl -L "https://cloud.comfy.org/api/view?filename=...&type=output" \
  • Network accessline 133
    [Credential-related source omitted]
  • Access to secretsline 133
    [Credential-related source omitted]
  • Access to secretsline 134
    [Credential-related source omitted]
  • Access to secretsline 150
    [Credential-related source omitted]
  • Network accessline 186
    # Image curl -X POST "http://127.0.0.1:8188/upload/image" \
  • Network accessline 187
    curl -X POST "http://127.0.0.1:8188/upload/image" \
  • Network accessline 191
    # Mask (linked to a previously uploaded image) curl -X POST "http://127.0.0.1:8188/upload/mask" \
  • Network accessline 192
    curl -X POST "http://127.0.0.1:8188/upload/mask" \
  • Network accessline 197
    [Credential-related source omitted]
  • Access to secretsline 197
    [Credential-related source omitted]
  • Network accessline 202
    # All node types and their input specs curl -s "http://127.0.0.1:8188/object_info" | python3 -m json.tool
  • Dangerous shell operationline 203
    curl -s "http://127.0.0.1:8188/object_info" | python3 -m json.tool
  • Network accessline 203
    curl -s "http://127.0.0.1:8188/object_info" | python3 -m json.tool
  • Network accessline 205
    # Specific node curl -s "http://127.0.0.1:8188/object_info/KSampler"
  • Network accessline 206
    curl -s "http://127.0.0.1:8188/object_info/KSampler"
  • Network accessline 208
    # Models per folder (local) curl -s "http://127.0.0.1:8188/models/checkpoints"
  • Network accessline 209
    curl -s "http://127.0.0.1:8188/models/checkpoints"
  • Network accessline 210
    curl -s "http://127.0.0.1:8188/models/loras"
  • Network accessline 212
    # Models per folder (cloud — note the experimental prefix) curl -s "https://cloud.comfy.org/api/experiment/models/checkpoints" \
  • Network accessline 213
    [Credential-related source omitted]
  • Access to secretsline 213
    [Credential-related source omitted]
  • Access to secretsline 214
    [Credential-related source omitted]
  • Network accessline 220
    # View queue curl -s "http://127.0.0.1:8188/queue"
  • Network accessline 221
    curl -s "http://127.0.0.1:8188/queue"
  • Network accessline 223
    # Clear all pending curl -X POST "http://127.0.0.1:8188/queue" \
  • Network accessline 224
    curl -X POST "http://127.0.0.1:8188/queue" \
  • Network accessline 228
    # Delete specific items curl -X POST "http://127.0.0.1:8188/queue" \
  • Network accessline 229
    curl -X POST "http://127.0.0.1:8188/queue" \
  • Network accessline 233
    # Cancel currently-running job curl -X POST "http://127.0.0.1:8188/interrupt"
  • Network accessline 234
    curl -X POST "http://127.0.0.1:8188/interrupt"
  • Network accessline 240
    # Stats (VRAM, RAM, GPU, ComfyUI version) curl -s "http://127.0.0.1:8188/system_stats"
  • Network accessline 241
    curl -s "http://127.0.0.1:8188/system_stats"
  • Network accessline 243
    # Free GPU memory curl -X POST "http://127.0.0.1:8188/free" \
  • Network accessline 244
    curl -X POST "http://127.0.0.1:8188/free" \
  • Network accessline 255
    # Install a custom node from a git URL curl -X POST "http://127.0.0.1:8188/manager/queue/install" \
  • Network accessline 256
    curl -X POST "http://127.0.0.1:8188/manager/queue/install" \
  • Network accessline 258
    -d '{"git_url": "https://github.com/user/comfyui-node.git"}'
  • Network accessline 260
    # Check install queue status curl -s "http://127.0.0.1:8188/manager/queue/status"
  • Network accessline 261
    curl -s "http://127.0.0.1:8188/manager/queue/status"
  • Network accessline 263
    # Install model curl -X POST "http://127.0.0.1:8188/manager/queue/install_model" \
  • Network accessline 264
    curl -X POST "http://127.0.0.1:8188/manager/queue/install_model" \
  • Network accessline 266
    -d '{"url": "https://...", "path": "models/checkpoints", "filename": "model.safetensors"}'

optional-skills/creative/comfyui/references/template-integrity.md

  • Network accessline 3
    > **Authored by [@purzbeats](https://github.com/purzbeats)** — adapted from
  • Network accessline 4
    > [purzbeats/hermes-agent-comfyui-helper](https://github.com/purzbeats/hermes-agent-comfyui-helper).
  • Network accessline 200
    for debugging. - Cloud `/api/view` returns **302 redirect to signed GCS URL** — use   `curl -s -L` to follow and download. Python `urllib` fails with 401
  • Network accessline 201
    - Cloud `/api/view` returns **302 redirect to signed GCS URL** — use   `curl -s -L` to follow and download. Python `urllib` fails with 401   (forwards auth headers to GCS CDN).
  • Network accessline 202
    `curl -s -L` to follow and download. Python `urllib` fails with 401
  • Access to secretsline 204
    [Credential-related source omitted]

optional-skills/creative/comfyui/scripts/_common.py

  • Executable scriptline 1
    Executable file
  • Network accessline 43
    DEFAULT_LOCAL_HOST = "http://127.0.0.1:8188"
  • Network accessline 44
    DEFAULT_CLOUD_HOST = "https://cloud.comfy.org"
  • Access to secretsline 45
    [Credential-related source omitted]
  • Network accessline 337
    parsed = urlparse(host if "://" in host else f"http://{host}")
  • Access to secretsline 391
    [Credential-related source omitted]
  • Access to secretsline 393
    [Credential-related source omitted]
  • Network accessline 575
    else:         body_bytes = data     req = urllib.request.Request(url, data=body_bytes, headers=headers, method=method)
  • Network accessline 577
    req = urllib.request.Request(url, data=body_bytes, headers=headers, method=method)
  • Network accessline 595
    if k.lower() not in {"x-api-key", "authorization", "cookie"}                 }                 new_req = urllib.request.Request(newurl, headers=clean_headers, method="GET")
  • Network accessline 596
    }                 new_req = urllib.request.Request(newurl, headers=clean_headers, method="GET")                 return new_req
  • Network accessline 597
    new_req = urllib.request.Request(newurl, headers=clean_headers, method="GET")

optional-skills/creative/comfyui/scripts/auto_fix_deps.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 35
    [Credential-related source omitted]
  • Access to secretsline 89
    [Credential-related source omitted]
  • Access to secretsline 100
    [Credential-related source omitted]
  • Access to secretsline 113
    [Credential-related source omitted]

optional-skills/creative/comfyui/scripts/check_deps.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 15
    [Credential-related source omitted]
  • Network accessline 18
    python3 check_deps.py workflow_api.json     python3 check_deps.py workflow_api.json --host 127.0.0.1 --port 8188     python3 check_deps.py workflow_api.json --host https://cloud.comfy.org
  • Network accessline 20
    python3 check_deps.py workflow_api.json --host https://cloud.comfy.org
  • Access to secretsline 34
    [Credential-related source omitted]
  • Access to secretsline 37
    [Credential-related source omitted]
  • Network accessline 117
    NODE_TO_GIT_URL: dict[str, str] = {     "HunyuanVideoSampler": "https://github.com/kijai/ComfyUI-HunyuanVideoWrapper",
  • Network accessline 118
    "HunyuanVideoSampler": "https://github.com/kijai/ComfyUI-HunyuanVideoWrapper",
  • Network accessline 119
    "HunyuanVideoModelLoader": "https://github.com/kijai/ComfyUI-HunyuanVideoWrapper",
  • Access to secretsline 268
    [Credential-related source omitted]
  • Access to secretsline 271
    [Credential-related source omitted]
  • Access to secretsline 272
    [Credential-related source omitted]
  • Network accessline 303
    else:                     entry["fix_hint"] = (                         "Search https://registry.comfy.org or "
  • Network accessline 304
    entry["fix_hint"] = (                         "Search https://registry.comfy.org or "                         "use ComfyUI-Manager UI to find the package providing this node."
  • Network accessline 305
    "Search https://registry.comfy.org or "
  • Access to secretsline 391
    [Credential-related source omitted]
  • Network accessline 399
    from urllib.parse import urlparse, urlunparse         parsed = urlparse(host if "://" in host else f"http://{host}")
  • Network accessline 400
    parsed = urlparse(host if "://" in host else f"http://{host}")
  • Access to secretsline 404
    [Credential-related source omitted]
  • Access to secretsline 422
    [Credential-related source omitted]

optional-skills/creative/comfyui/scripts/comfyui_setup.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 123
    log ""             log "Hardware check: this machine is not suitable for local ComfyUI."             log "Recommended: Comfy Cloud — https://platform.comfy.org"
  • Network accessline 124
    log "Hardware check: this machine is not suitable for local ComfyUI."             log "Recommended: Comfy Cloud — https://platform.comfy.org"             log ""
  • Network accessline 125
    log "Recommended: Comfy Cloud — https://platform.comfy.org"
  • Network accessline 133
    log "Hardware check: verdict is MARGINAL."             log "  SD1.5 should work; SDXL/Flux may be slow or OOM."             log "  Consider Comfy Cloud for heavier workflows: https://platform.comfy.org"
  • Network accessline 134
    log "  SD1.5 should work; SDXL/Flux may be slow or OOM."             log "  Consider Comfy Cloud for heavier workflows: https://platform.comfy.org"         fi
  • Network accessline 135
    log "  Consider Comfy Cloud for heavier workflows: https://platform.comfy.org"
  • Network accessline 172
    else     log "Neither pipx nor uvx found. Falling back to pip install --user…"     log "  (Recommend installing pipx: https://pipx.pypa.io)"
  • Network accessline 173
    log "Neither pipx nor uvx found. Falling back to pip install --user…"     log "  (Recommend installing pipx: https://pipx.pypa.io)"     if ! pip install --user comfy-cli >>"$LOG_FILE" 2>&1; then
  • Network accessline 174
    log "  (Recommend installing pipx: https://pipx.pypa.io)"
  • Network accessline 237
    if curl -fsS "http://127.0.0.1:$PORT/system_stats" >/dev/null 2>&1; then
  • Network accessline 238
    log "Server already running on port $PORT — skipping launch."     log "Stop with \`$COMFY_BIN stop\` if you want a fresh start."     curl -fsS "http://127.0.0.1:$PORT/system_stats" | python3 -m json.tool 2>/dev/null || true
  • Network accessline 239
    log "Stop with \`$COMFY_BIN stop\` if you want a fresh start."     curl -fsS "http://127.0.0.1:$PORT/system_stats" | python3 -m json.tool 2>/dev/null || true     log "Done."
  • Dangerous shell operationline 240
    curl -fsS "http://127.0.0.1:$PORT/system_stats" | python3 -m json.tool 2>/dev/null || true
  • Network accessline 240
    curl -fsS "http://127.0.0.1:$PORT/system_stats" | python3 -m json.tool 2>/dev/null || true
  • Network accessline 258
    ELAPSED=0 while [ $ELAPSED -lt $MAX_WAIT ]; do     if curl -fsS "http://127.0.0.1:$PORT/system_stats" >/dev/null 2>&1; then
  • Network accessline 259
    while [ $ELAPSED -lt $MAX_WAIT ]; do     if curl -fsS "http://127.0.0.1:$PORT/system_stats" >/dev/null 2>&1; then         log "Server is running!"
  • Network accessline 260
    if curl -fsS "http://127.0.0.1:$PORT/system_stats" >/dev/null 2>&1; then
  • Network accessline 261
    log "Server is running!"         curl -fsS "http://127.0.0.1:$PORT/system_stats" | python3 -m json.tool 2>/dev/null || true         break
  • Dangerous shell operationline 262
    curl -fsS "http://127.0.0.1:$PORT/system_stats" | python3 -m json.tool 2>/dev/null || true
  • Network accessline 262
    curl -fsS "http://127.0.0.1:$PORT/system_stats" | python3 -m json.tool 2>/dev/null || true
  • Network accessline 276
    log "" log "Setup complete!" log "  Server: http://127.0.0.1:$PORT"
  • Network accessline 277
    log "Setup complete!" log "  Server: http://127.0.0.1:$PORT" log "  Web UI: http://127.0.0.1:$PORT (open in browser)"
  • Network accessline 278
    log "  Server: http://127.0.0.1:$PORT"
  • Network accessline 279
    log "  Web UI: http://127.0.0.1:$PORT (open in browser)"

optional-skills/creative/comfyui/scripts/extract_schema.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/creative/comfyui/scripts/fetch_logs.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 9
    Usage:     python3 fetch_logs.py <prompt_id>     python3 fetch_logs.py <prompt_id> --host https://cloud.comfy.org
  • Network accessline 10
    python3 fetch_logs.py <prompt_id>     python3 fetch_logs.py <prompt_id> --host https://cloud.comfy.org     python3 fetch_logs.py --tail-queue            # show currently queued/running jobs
  • Network accessline 11
    python3 fetch_logs.py <prompt_id> --host https://cloud.comfy.org
  • Access to secretsline 23
    [Credential-related source omitted]
  • Access to secretsline 24
    [Credential-related source omitted]
  • Access to secretsline 121
    [Credential-related source omitted]
  • Access to secretsline 128
    [Credential-related source omitted]
  • Access to secretsline 129
    [Credential-related source omitted]

optional-skills/creative/comfyui/scripts/hardware_check.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 433
    def _install_urls() -> dict:     return {         "desktop": "https://docs.comfy.org/installation/desktop",
  • Network accessline 434
    return {         "desktop": "https://docs.comfy.org/installation/desktop",         "manual": "https://docs.comfy.org/installation/manual_install",
  • Network accessline 435
    "desktop": "https://docs.comfy.org/installation/desktop",
  • Network accessline 436
    "manual": "https://docs.comfy.org/installation/manual_install",
  • Network accessline 437
    "comfy_cli": "https://docs.comfy.org/comfy-cli/getting-started",
  • Network accessline 438
    "cloud": "https://platform.comfy.org",

optional-skills/creative/comfyui/scripts/health_check.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 12
    Usage:     python3 health_check.py     python3 health_check.py --host https://cloud.comfy.org
  • Network accessline 13
    python3 health_check.py     python3 health_check.py --host https://cloud.comfy.org     python3 health_check.py --workflow my.json
  • Network accessline 14
    python3 health_check.py --host https://cloud.comfy.org
  • Access to secretsline 29
    [Credential-related source omitted]
  • Access to secretsline 30
    [Credential-related source omitted]
  • Access to secretsline 116
    [Credential-related source omitted]
  • Access to secretsline 117
    [Credential-related source omitted]
  • Access to secretsline 143
    [Credential-related source omitted]
  • Access to secretsline 151
    [Credential-related source omitted]
  • Access to secretsline 152
    [Credential-related source omitted]
  • Access to secretsline 169
    [Credential-related source omitted]

optional-skills/creative/comfyui/scripts/run_batch.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 37
    [Credential-related source omitted]
  • Access to secretsline 38
    [Credential-related source omitted]
  • Access to secretsline 123
    [Credential-related source omitted]
  • Access to secretsline 170
    [Credential-related source omitted]
  • Access to secretsline 171
    [Credential-related source omitted]

optional-skills/creative/comfyui/scripts/run_workflow.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 8
    [Credential-related source omitted]
  • Access to secretsline 29
    [Credential-related source omitted]
  • Network accessline 30
    python3 run_workflow.py --workflow workflow_api.json \         --args '{"prompt": "a cat"}' \         --host https://cloud.comfy.org \
  • Network accessline 31
    --args '{"prompt": "a cat"}' \         --host https://cloud.comfy.org \         --output-dir ./outputs
  • Network accessline 32
    --host https://cloud.comfy.org \
  • Access to secretsline 63
    [Credential-related source omitted]
  • Access to secretsline 66
    [Credential-related source omitted]
  • Access to secretsline 94
    [Credential-related source omitted]
  • Access to secretsline 99
    [Credential-related source omitted]
  • Access to secretsline 107
    [Credential-related source omitted]
  • Access to secretsline 108
    [Credential-related source omitted]
  • Network accessline 259
    # Build WS URL. Preserve any base-path components the user gave us         # (e.g. http://example.com/comfyui → ws://example.com/comfyui/ws).
  • Network accessline 260
    # (e.g. http://example.com/comfyui → ws://example.com/comfyui/ws).
  • Access to secretsline 266
    [Credential-related source omitted]
  • Access to secretsline 267
    [Credential-related source omitted]
  • Access to secretsline 576
    [Credential-related source omitted]
  • Access to secretsline 637
    [Credential-related source omitted]
  • Access to secretsline 639
    [Credential-related source omitted]
  • Access to secretsline 640
    [Credential-related source omitted]
  • Access to secretsline 644
    [Credential-related source omitted]
  • Access to secretsline 656
    [Credential-related source omitted]

optional-skills/creative/comfyui/scripts/ws_monitor.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 17
    # Cloud — watch a specific prompt_id     python3 ws_monitor.py --host https://cloud.comfy.org \
  • Network accessline 18
    python3 ws_monitor.py --host https://cloud.comfy.org \
  • Access to secretsline 39
    [Credential-related source omitted]
  • Access to secretsline 114
    [Credential-related source omitted]
  • Access to secretsline 134
    [Credential-related source omitted]
  • Network accessline 139
    parsed = urlparse(args.host if "://" in args.host else f"http://{args.host}")
  • Access to secretsline 144
    [Credential-related source omitted]
  • Access to secretsline 145
    [Credential-related source omitted]

optional-skills/creative/comfyui/tests/README.md

  • Access to secretsline 13
    [Credential-related source omitted]
  • Access to secretsline 17
    [Credential-related source omitted]

optional-skills/creative/comfyui/tests/conftest.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 54
    [Credential-related source omitted]
  • Access to secretsline 59
    [Credential-related source omitted]
  • Access to secretsline 61
    [Credential-related source omitted]

optional-skills/creative/comfyui/tests/pytest.ini

  • Access to secretsline 3
    [Credential-related source omitted]

optional-skills/creative/comfyui/tests/test_check_deps.py

  • Executable scriptline 1
    Executable file

optional-skills/creative/comfyui/tests/test_cloud_integration.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 3
    [Credential-related source omitted]
  • Network accessline 18
    class TestCloudEndpointsLive:     def test_system_stats_reachable(self, cloud_key):         url = resolve_url("https://cloud.comfy.org", "/system_stats")
  • Network accessline 19
    [Credential-related source omitted]
  • Network accessline 20
    url = resolve_url("https://cloud.comfy.org", "/system_stats")
  • Network accessline 28
    url = resolve_url("https://cloud.comfy.org", "/models/checkpoints")
  • Network accessline 33
    def test_models_endpoint_returns_dicts(self, cloud_key):         url = resolve_url("https://cloud.comfy.org", "/models/checkpoints")
  • Network accessline 34
    url = resolve_url("https://cloud.comfy.org", "/models/checkpoints")
  • Network accessline 48
    url = resolve_url("https://cloud.comfy.org", "/history/some-fake-id")
  • Network accessline 53
    url = resolve_url("https://cloud.comfy.org", "/object_info")
  • Network accessline 63
    [Credential-related source omitted]
  • Network accessline 65
    [Credential-related source omitted]
  • Access to secretsline 65
    [Credential-related source omitted]
  • Network accessline 73
    [Credential-related source omitted]
  • Network accessline 74
    [Credential-related source omitted]
  • Access to secretsline 74
    [Credential-related source omitted]
  • Network accessline 86
    def test_health_check_passes(self, cloud_key, capsys):         from health_check import main as health_main         health_main(["--host", "https://cloud.comfy.org", "--api-key", cloud_key])
  • Network accessline 87
    from health_check import main as health_main         health_main(["--host", "https://cloud.comfy.org", "--api-key", cloud_key])         captured = capsys.readouterr()
  • Network accessline 88
    health_main(["--host", "https://cloud.comfy.org", "--api-key", cloud_key])

optional-skills/creative/comfyui/tests/test_common.py

  • Executable scriptline 1
    Executable file
  • Network accessline 32
    class TestCloudDetection:     def test_cloud_host_exact(self):         assert is_cloud_host("https://cloud.comfy.org") is True
  • Network accessline 33
    def test_cloud_host_exact(self):         assert is_cloud_host("https://cloud.comfy.org") is True         assert is_cloud_host("https://cloud.comfy.org/foo/bar") is True
  • Network accessline 34
    assert is_cloud_host("https://cloud.comfy.org") is True
  • Network accessline 35
    assert is_cloud_host("https://cloud.comfy.org/foo/bar") is True
  • Network accessline 37
    def test_cloud_host_subdomain(self):         assert is_cloud_host("https://staging.cloud.comfy.org") is True
  • Network accessline 38
    assert is_cloud_host("https://staging.cloud.comfy.org") is True
  • Network accessline 39
    assert is_cloud_host("https://api.cloud.comfy.org") is True
  • Network accessline 41
    def test_local_not_cloud(self):         assert is_cloud_host("http://127.0.0.1:8188") is False
  • Network accessline 42
    assert is_cloud_host("http://127.0.0.1:8188") is False
  • Network accessline 43
    assert is_cloud_host("http://localhost:8188") is False
  • Network accessline 44
    assert is_cloud_host("http://my-server.local:8188") is False
  • Network accessline 70
    class TestResolveURL:     def test_local_no_prefix(self):         assert resolve_url("http://127.0.0.1:8188", "/prompt") == "http://127.0.0.1:8188/prompt"
  • Network accessline 72
    assert resolve_url("http://127.0.0.1:8188", "/prompt") == "http://127.0.0.1:8188/prompt"
  • Network accessline 74
    def test_cloud_adds_api_prefix(self):         assert resolve_url("https://cloud.comfy.org", "/prompt") == "https://cloud.comfy.org/api/prompt"
  • Network accessline 75
    assert resolve_url("https://cloud.comfy.org", "/prompt") == "https://cloud.comfy.org/api/prompt"
  • Network accessline 77
    def test_cloud_history_renamed(self):         assert resolve_url("https://cloud.comfy.org", "/history/abc") == "https://cloud.comfy.org/api/history_v2/abc"
  • Network accessline 78
    assert resolve_url("https://cloud.comfy.org", "/history/abc") == "https://cloud.comfy.org/api/history_v2/abc"
  • Network accessline 80
    def test_cloud_models_renamed(self):         assert resolve_url("https://cloud.comfy.org", "/models/loras") == "https://cloud.comfy.org/api/experiment/models/loras"
  • Network accessline 81
    assert resolve_url("https://cloud.comfy.org", "/models/loras") == "https://cloud.comfy.org/api/experiment/models/loras"
  • Network accessline 85
    assert resolve_url("https://cloud.comfy.org", "/api/prompt") == "https://cloud.comfy.org/api/prompt"
  • Network accessline 87
    def test_trailing_slash_stripped(self):         assert resolve_url("http://127.0.0.1:8188/", "/prompt") == "http://127.0.0.1:8188/prompt"
  • Network accessline 88
    assert resolve_url("http://127.0.0.1:8188/", "/prompt") == "http://127.0.0.1:8188/prompt"
  • Network accessline 389
    import requests         s = self._build_session()         prep = requests.PreparedRequest()
  • Network accessline 390
    s = self._build_session()         prep = requests.PreparedRequest()         prep.prepare(method="GET", url="https://other.example.com/file",
  • Network accessline 391
    prep = requests.PreparedRequest()
  • Network accessline 392
    [Credential-related source omitted]
  • Network accessline 393
    [Credential-related source omitted]
  • Network accessline 394
    resp = requests.Response()
  • Network accessline 395
    orig = requests.PreparedRequest()
  • Network accessline 396
    orig.prepare(method="GET", url="https://cloud.comfy.org/api/view", headers={})
  • Network accessline 403
    import requests         s = self._build_session()         prep = requests.PreparedRequest()
  • Network accessline 404
    s = self._build_session()         prep = requests.PreparedRequest()         prep.prepare(method="GET", url="https://cloud.comfy.org/foo",
  • Network accessline 405
    prep = requests.PreparedRequest()
  • Network accessline 406
    [Credential-related source omitted]
  • Network accessline 407
    [Credential-related source omitted]
  • Network accessline 408
    resp = requests.Response()
  • Network accessline 409
    orig = requests.PreparedRequest()
  • Network accessline 410
    orig.prepare(method="GET", url="https://cloud.comfy.org/bar", headers={})
  • Network accessline 416
    import requests         s = self._build_session()         prep = requests.PreparedRequest()
  • Network accessline 417
    s = self._build_session()         prep = requests.PreparedRequest()         prep.prepare(method="GET", url="https://other.example.com/x",
  • Network accessline 418
    prep = requests.PreparedRequest()
  • Network accessline 419
    prep.prepare(method="GET", url="https://other.example.com/x",                      headers={"Cookie": "session=secret"})         resp = requests.Response()
  • Network accessline 420
    headers={"Cookie": "session=secret"})         resp = requests.Response()         orig = requests.PreparedRequest()
  • Network accessline 421
    resp = requests.Response()
  • Network accessline 422
    orig = requests.PreparedRequest()
  • Network accessline 423
    orig.prepare(method="GET", url="https://cloud.comfy.org/foo", headers={})

optional-skills/creative/comfyui/tests/test_extract_schema.py

  • Executable scriptline 1
    Executable file

optional-skills/creative/comfyui/tests/test_run_workflow.py

  • Executable scriptline 1
    Executable file
  • Network accessline 178
    r = ComfyRunner()         assert r.is_cloud is False         assert r.host == "http://127.0.0.1:8188"
  • Network accessline 180
    assert r.host == "http://127.0.0.1:8188"
  • Network accessline 182
    [Credential-related source omitted]
  • Network accessline 183
    [Credential-related source omitted]
  • Access to secretsline 183
    [Credential-related source omitted]
  • Network accessline 187
    [Credential-related source omitted]
  • Network accessline 188
    [Credential-related source omitted]
  • Access to secretsline 188
    [Credential-related source omitted]
  • Network accessline 191
    [Credential-related source omitted]
  • Network accessline 192
    [Credential-related source omitted]
  • Access to secretsline 192
    [Credential-related source omitted]
  • Network accessline 198
    r = ComfyRunner()         url = r._url("/prompt")         assert url == "http://127.0.0.1:8188/prompt"
  • Network accessline 200
    assert url == "http://127.0.0.1:8188/prompt"
  • Network accessline 202
    [Credential-related source omitted]
  • Network accessline 203
    [Credential-related source omitted]
  • Access to secretsline 203
    [Credential-related source omitted]
  • Network accessline 205
    assert url == "https://cloud.comfy.org/api/prompt"
  • Network accessline 207
    [Credential-related source omitted]
  • Network accessline 208
    [Credential-related source omitted]
  • Access to secretsline 208
    [Credential-related source omitted]
  • Network accessline 210
    assert url == "https://cloud.comfy.org/api/history_v2/abc-123"

optional-skills/creative/comfyui/workflows/README.md

  • Access to secretsline 35
    [Credential-related source omitted]
  • Network accessline 36
    python3 ../scripts/run_workflow.py    --workflow flux_dev_txt2img.json    --args '{"prompt": "a fox in a misty forest"}'    --host https://cloud.comfy.org
  • Network accessline 37
    --workflow flux_dev_txt2img.json \   --args '{"prompt": "a fox in a misty forest"}' \   --host https://cloud.comfy.org \
  • Network accessline 38
    --args '{"prompt": "a fox in a misty forest"}' \   --host https://cloud.comfy.org \   --output-dir ./out
  • Network accessline 39
    --host https://cloud.comfy.org \
  • Network accessline 77
    python3 ../scripts/run_workflow.py    --workflow sd15_txt2img.json    --args '{"ckpt_name": "v1-5-pruned-emaonly-fp16.safetensors", "prompt": "..."}'    --host https://cloud.comfy.org
  • Network accessline 78
    --workflow sd15_txt2img.json \   --args '{"ckpt_name": "v1-5-pruned-emaonly-fp16.safetensors", "prompt": "..."}' \   --host https://cloud.comfy.org
  • Network accessline 80
    --host https://cloud.comfy.org
  • Network accessline 83
    The `ckpt_name`, `vae_name`, `lora_name`, `unet_name`, etc. are all exposed as controllable parameters by `extract_schema.py` — discover what's installed with `comfy model list` (local) or `curl /api/experiment/models/checkpoints`
  • Network accessline 84
    as controllable parameters by `extract_schema.py` — discover what's installed with `comfy model list` (local) or `curl /api/experiment/models/checkpoints` (cloud).
  • Network accessline 85
    with `comfy model list` (local) or `curl /api/experiment/models/checkpoints`

optional-skills/creative/concept-diagrams/SKILL.md

  • Network accessline 167
    <svg width="100%" viewBox="0 0 680 {HEIGHT}" xmlns="http://www.w3.org/2000/svg">
  • Network accessline 304
    import http.server, socketserver with socketserver.TCPServer(('127.0.0.1', 0), http.server.SimpleHTTPRequestHandler) as s:     print(f'Serving at http://127.0.0.1:{s.server_address[1]}/')
  • Network accessline 305
    with socketserver.TCPServer(('127.0.0.1', 0), http.server.SimpleHTTPRequestHandler) as s:     print(f'Serving at http://127.0.0.1:{s.server_address[1]}/')     s.serve_forever()
  • Network accessline 306
    print(f'Serving at http://127.0.0.1:{s.server_address[1]}/')

optional-skills/creative/concept-diagrams/examples/automated-password-reset-flow.md

  • Network accessline 19
    <svg width="100%" viewBox="0 0 680 960" xmlns="http://www.w3.org/2000/svg">

optional-skills/creative/concept-diagrams/examples/autonomous-llm-research-agent-flow.md

  • Network accessline 20
    <svg width="100%" viewBox="0 0 680 920" xmlns="http://www.w3.org/2000/svg">

optional-skills/creative/concept-diagrams/examples/commercial-aircraft-structure.md

  • Network accessline 18
    <svg width="100%" viewBox="0 0 680 400" xmlns="http://www.w3.org/2000/svg">

optional-skills/creative/concept-diagrams/examples/feature-film-production-pipeline.md

  • Network accessline 16
    <svg width="100%" viewBox="0 0 680 780" xmlns="http://www.w3.org/2000/svg">

optional-skills/creative/concept-diagrams/examples/hospital-emergency-department-flow.md

  • Network accessline 16
    <svg width="100%" viewBox="0 0 680 620" xmlns="http://www.w3.org/2000/svg">

optional-skills/creative/concept-diagrams/examples/place-order-uml-sequence.md

  • Network accessline 21
    <svg width="100%" viewBox="0 0 680 648" xmlns="http://www.w3.org/2000/svg">

optional-skills/creative/concept-diagrams/examples/wind-turbine-structure.md

  • Network accessline 21
    <svg width="100%" viewBox="0 0 680 920" xmlns="http://www.w3.org/2000/svg">

optional-skills/creative/creative-ideation/SKILL.md

  • Network accessline 177
    Constraint-dispatch core adapted from [wttdotm.com/prompts.html](https://wttdotm.com/prompts.html). Methods drawn from primary sources cited in each method file.

optional-skills/creative/creative-ideation/references/full-prompt-library.md

  • Network accessline 3
    Constraint-dispatch library — voice and approach inspired by [wttdotm.com/prompts.html](https://wttdotm.com/prompts.html). Adapted and expanded.
  • Network accessline 180
    Constraint approach inspired by [wttdotm.com/prompts.html](https://wttdotm.com/prompts.html). Original v1 of this library was substantially adapted from there. This expanded version groups constraints by domain affinity for use with the rou

optional-skills/creative/design-md/SKILL.md

  • Network accessline 217
    - Repo: https://github.com/google-labs-code/design.md (Apache-2.0)

optional-skills/creative/draw-your-font/SKILL.md

  • Network accessline 3
    description: "Turn a handwriting photo into an installable TTF font." version: 0.1.0 author: Danilo Znamerovszkij (https://github.com/danilo-znamerovszkij/draw-your-font), ported by Hermes Agent
  • Network accessline 4
    version: 0.1.0 author: Danilo Znamerovszkij (https://github.com/danilo-znamerovszkij/draw-your-font), ported by Hermes Agent license: MIT
  • Network accessline 5
    author: Danilo Znamerovszkij (https://github.com/danilo-znamerovszkij/draw-your-font), ported by Hermes Agent
  • Network accessline 11
    tags: [font, handwriting, typography, ttf, woff, vision, creative]     category: creative     homepage: https://github.com/danilo-znamerovszkij/draw-your-font
  • Network accessline 12
    category: creative     homepage: https://github.com/danilo-znamerovszkij/draw-your-font     related_skills: [pixel-art]
  • Network accessline 13
    homepage: https://github.com/danilo-znamerovszkij/draw-your-font

optional-skills/creative/dream-loop/SKILL.md

  • Network accessline 12
    category: creative     related_skills: [p5js, claude-design, manim-video]     upstream: https://github.com/achimala/dream-loop
  • Network accessline 13
    related_skills: [p5js, claude-design, manim-video]     upstream: https://github.com/achimala/dream-loop ---
  • Network accessline 14
    upstream: https://github.com/achimala/dream-loop
  • Network accessline 139
    Serve the build (e.g. `python3 -m http.server` in the build dir), then via `browser_exec`: `new_tab('http://localhost:8000')`, `wait_for_load()`, allow
  • Network accessline 140
    `browser_exec`: `new_tab('http://localhost:8000')`, `wait_for_load()`, allow
  • Network accessline 280
    --- Adapted from [dream-loop](https://github.com/achimala/dream-loop) by Anshu
  • Network accessline 281
    Adapted from [dream-loop](https://github.com/achimala/dream-loop) by Anshu

optional-skills/creative/excalidraw/SKILL.md

  • Network accessline 18
    Create diagrams by writing standard Excalidraw element JSON and saving as `.excalidraw` files. These files can be drag-and-dropped onto [excalidraw.com](https://excalidraw.com) for viewing and editing. No accounts, no API keys, no rendering

optional-skills/creative/excalidraw/scripts/upload.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 15
    Example:     python upload.py ~/diagrams/architecture.excalidraw     # prints: https://excalidraw.com/#json=abc123,encryptionKeyHere
  • Network accessline 16
    python upload.py ~/diagrams/architecture.excalidraw     # prints: https://excalidraw.com/#json=abc123,encryptionKeyHere """
  • Network accessline 17
    # prints: https://excalidraw.com/#json=abc123,encryptionKeyHere
  • Network accessline 36
    UPLOAD_URL = "https://json.excalidraw.com/api/v2/post/"
  • Network accessline 88
    req = urllib.request.Request(UPLOAD_URL, data=payload, method="POST")
  • Network accessline 89
    with urllib.request.urlopen(req, timeout=30) as resp:
  • Network accessline 101
    return f"https://excalidraw.com/#json={file_id},{key_b64}"

optional-skills/creative/heartmula/SKILL.md

  • Network accessline 39
    cd ~/  # or desired directory git clone https://github.com/HeartMuLa/heartlib.git
  • Network accessline 40
    git clone https://github.com/HeartMuLa/heartlib.git
  • Network accessline 101
    - `torchtune` may report version `0.4.0+cpu` — this is just package metadata, it still uses CUDA via PyTorch - To verify GPU is being used, look for "CUDA memory" lines in the output (e.g. "CUDA memory before unloading: 6.20 GB") - **No GPU
  • Network accessline 103
    - **No GPU?** You can run on CPU with `--mula_device cpu --codec_device cpu`, but expect generation to be **extremely slow** (potentially 30-60+ minutes for a single song vs ~4 minutes on GPU). CPU mode also requires significant RAM (~12GB+
  • Network accessline 169
    ## Links - Repo: https://github.com/HeartMuLa/heartlib
  • Network accessline 170
    - Repo: https://github.com/HeartMuLa/heartlib
  • Network accessline 171
    - Models: https://huggingface.co/HeartMuLa
  • Network accessline 172
    - Paper: https://arxiv.org/abs/2601.10547

optional-skills/creative/hyperframes/SKILL.md

  • Network accessline 172
    - **`HeadlessExperimental.beginFrame' wasn't found`** — Chromium 147+ removed this protocol. Ensure you're on `hyperframes@>=0.4.2` (auto-detects and falls back to screenshot mode). Escape hatch: `export PRODUCER_FORCE_SCREENSHOT=true`. See

optional-skills/creative/hyperframes/references/cli.md

  • Network accessline 34
    npx hyperframes capture https://example.com                  # → captures/example.com/
  • Network accessline 35
    npx hyperframes capture https://stripe.com -o stripe-video   # custom output dir
  • Network accessline 36
    npx hyperframes capture https://example.com --json           # machine-readable output
  • Network accessline 37
    npx hyperframes capture https://example.com --skip-assets    # skip images/SVGs
  • Network accessline 185
    Popular catalog blocks: `flash-through-white` (shader transition), `instagram-follow` (social overlay), `data-chart` (animated chart), `lower-third` (talking-head overlay). See [hyperframes.heygen.com/catalog](https://hyperframes.heygen.com

optional-skills/creative/hyperframes/references/composition.md

  • Network accessline 27
    <script src="https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js"></script>

optional-skills/creative/hyperframes/references/gsap.md

  • Network accessline 6
    <script src="https://cdn.jsdelivr.net/npm/gsap@3.14.2/dist/gsap.min.js"></script>

optional-skills/creative/hyperframes/references/troubleshooting.md

  • Network accessline 13
    **Cause:** Chromium 147+ removed the `HeadlessExperimental.beginFrame` CDP command. This affected sandbox environments (e.g., OpenClaw, some containerized agent hosts) that ship modern Chromium as the system browser. See [hyperframes#294](h
  • Network accessline 23
    `hyperframes >= 0.4.2` auto-detects whether the resolved browser supports `beginFrame` (checks for `chrome-headless-shell` in the binary path) and falls back to screenshot capture mode when it doesn't. Commit [`4c72ba4`](https://github.com/
  • Dangerous shell operationline 61
    | Ubuntu / Debian | `sudo apt-get install -y ffmpeg`    |
  • Dangerous shell operationline 62
    | Fedora / RHEL   | `sudo dnf install -y ffmpeg`        |
  • Dangerous shell operationline 63
    | Arch            | `sudo pacman -S ffmpeg`             |
  • Network accessline 73
    - **nvm:** `nvm install 22 && nvm use 22` - **Homebrew (macOS):** `brew install node@22 && brew link --overwrite node@22` - **apt:** follow [nodesource](https://github.com/nodesource/distributions) for Node 22 LTS.
  • Network accessline 75
    - **apt:** follow [nodesource](https://github.com/nodesource/distributions) for Node 22 LTS.
  • Network accessline 160
    Include `npx hyperframes info` output + the full error log. File at [github.com/heygen-com/hyperframes](https://github.com/heygen-com/hyperframes/issues).

optional-skills/creative/hyperframes/references/website-to-video.md

  • Network accessline 10
    npx hyperframes capture https://example.com -o example-video

optional-skills/creative/hyperframes/scripts/setup.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 6
    # # Pins `hyperframes@>=0.4.2` so the OpenClaw/Chromium-147 fix from # https://github.com/heygen-com/hyperframes/issues/294 (commit 4c72ba4)
  • Network accessline 7
    # Pins `hyperframes@>=0.4.2` so the OpenClaw/Chromium-147 fix from # https://github.com/heygen-com/hyperframes/issues/294 (commit 4c72ba4) # is always present — the engine auto-detects `HeadlessExperimental.beginFrame`
  • Network accessline 8
    # https://github.com/heygen-com/hyperframes/issues/294 (commit 4c72ba4)
  • Dangerous shell operationline 48
    Linux*)   echo "   sudo apt-get install -y ffmpeg   # Debian/Ubuntu"
  • Dangerous shell operationline 49
    echo "   sudo dnf install -y ffmpeg       # Fedora/RHEL";;
  • Network accessline 50
    Darwin*)  echo "   brew install ffmpeg";;     MINGW*|MSYS*|CYGWIN*) echo "   winget install Gyan.FFmpeg";;     *)        echo "   See https://ffmpeg.org/download.html";;
  • Network accessline 51
    MINGW*|MSYS*|CYGWIN*) echo "   winget install Gyan.FFmpeg";;     *)        echo "   See https://ffmpeg.org/download.html";;   esac
  • Network accessline 52
    *)        echo "   See https://ffmpeg.org/download.html";;
  • Dangerous shell operationline 82
    echo "   Try: sudo npm install -g hyperframes@latest"
  • Dangerous shell operationline 97
    echo "   Try 'npm install -g hyperframes@latest' or 'sudo npm install -g hyperframes@latest'."

optional-skills/creative/impeccable/SKILL.md

  • Network accessline 20
    > **Catalog stub.** This entry is maintained upstream at > [pbakaus/impeccable](https://github.com/pbakaus/impeccable): the project
  • Network accessline 21
    > [pbakaus/impeccable](https://github.com/pbakaus/impeccable): the project
  • Network accessline 42
    Full documentation: https://impeccable.style

optional-skills/creative/ip-as-logo/LICENSE

  • Network accessline 1
    ip-as-logo — ported from https://github.com/s1dashu/ip-as-logo-skill
  • Network accessline 2
    Upstream snapshot: commit b1bf517c54a407452cfaca98a54668cd052f8e63 (2026-08-20) Upstream author / copyright holder: s1dashu (https://github.com/s1dashu) The MIT license text below is reproduced verbatim from the upstream LICENSE.
  • Network accessline 3
    Upstream author / copyright holder: s1dashu (https://github.com/s1dashu)

optional-skills/creative/ip-as-logo/SKILL.md

  • Network accessline 3
    description: "Design minimal cute IP mascot marks readable at 32px." version: 1.0.0 author: s1dashu (https://github.com/s1dashu, upstream s1dashu/ip-as-logo-skill), ported by Hermes Agent
  • Network accessline 4
    version: 1.0.0 author: s1dashu (https://github.com/s1dashu, upstream s1dashu/ip-as-logo-skill), ported by Hermes Agent license: MIT
  • Network accessline 5
    author: s1dashu (https://github.com/s1dashu, upstream s1dashu/ip-as-logo-skill), ported by Hermes Agent
  • Network accessline 10
    tags: [logo, mascot, branding, ip-character, image-generation, creative]     category: creative     upstream: https://github.com/s1dashu/ip-as-logo-skill (pinned b1bf517c)
  • Network accessline 11
    category: creative     upstream: https://github.com/s1dashu/ip-as-logo-skill (pinned b1bf517c)     related_skills: [pixel-art]
  • Network accessline 12
    upstream: https://github.com/s1dashu/ip-as-logo-skill (pinned b1bf517c)
  • Network accessline 20
    > **Hermes adaptation notes** (the rest of this document is the upstream > workflow, kept intact — snapshot of > [s1dashu/ip-as-logo-skill](https://github.com/s1dashu/ip-as-logo-skill)
  • Network accessline 21
    > workflow, kept intact — snapshot of > [s1dashu/ip-as-logo-skill](https://github.com/s1dashu/ip-as-logo-skill) > commit [`b1bf517c`](https://github.com/s1dashu/ip-as-logo-skill/commit/b1bf517c54a407452cfaca98a54668cd052f8e63),
  • Network accessline 22
    > [s1dashu/ip-as-logo-skill](https://github.com/s1dashu/ip-as-logo-skill)
  • Network accessline 23
    > commit [`b1bf517c`](https://github.com/s1dashu/ip-as-logo-skill/commit/b1bf517c54a407452cfaca98a54668cd052f8e63),

optional-skills/creative/kanban-video-orchestrator/SKILL.md

  • Network accessline 15
    `--workspace dir:/abs/path` discipline are adapted from alt-glitch's       original multi-agent video pipeline at       https://github.com/NousResearch/kanban-video-pipeline.
  • Network accessline 16
    original multi-agent video pipeline at       https://github.com/NousResearch/kanban-video-pipeline. ---
  • Network accessline 17
    https://github.com/NousResearch/kanban-video-pipeline.

optional-skills/creative/kanban-video-orchestrator/assets/setup.sh.tmpl

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Access to secretsline 26
    [Credential-related source omitted]
  • Access to secretsline 32
    [Credential-related source omitted]
  • Access to secretsline 33
    [Credential-related source omitted]
  • Access to secretsline 34
    [Credential-related source omitted]
  • Access to secretsline 37
    [Credential-related source omitted]

optional-skills/creative/kanban-video-orchestrator/references/kanban-setup.md

  • Network accessline 12
    > approach, SOUL.md-per-profile convention, and `--workspace dir:<path>` rule > are adapted from alt-glitch's original multi-agent video pipeline: > [NousResearch/kanban-video-pipeline](https://github.com/NousResearch/kanban-video-pipeline)
  • Network accessline 13
    > are adapted from alt-glitch's original multi-agent video pipeline: > [NousResearch/kanban-video-pipeline](https://github.com/NousResearch/kanban-video-pipeline). > This skill generalizes those patterns across video styles and replaces the
  • Network accessline 14
    > [NousResearch/kanban-video-pipeline](https://github.com/NousResearch/kanban-video-pipeline).
  • Access to secretsline 226
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]

optional-skills/creative/kanban-video-orchestrator/references/tool-matrix.md

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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]

optional-skills/creative/kanban-video-orchestrator/scripts/bootstrap_pipeline.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 48
    [Credential-related source omitted]

optional-skills/creative/kanban-video-orchestrator/scripts/monitor.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/creative/meme-generation/scripts/.gitignore

  • Executable scriptline 1
    Executable file

optional-skills/creative/meme-generation/scripts/generate_meme.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 32
    TEMPLATES_FILE = SCRIPT_DIR / "templates.json" CACHE_DIR = SCRIPT_DIR / ".cache" IMGFLIP_API = "https://api.imgflip.com/get_memes"
  • Network accessline 33
    CACHE_DIR = SCRIPT_DIR / ".cache" IMGFLIP_API = "https://api.imgflip.com/get_memes" IMGFLIP_CACHE_FILE = CACHE_DIR / "imgflip_memes.json"
  • Network accessline 34
    IMGFLIP_API = "https://api.imgflip.com/get_memes"
  • Network accessline 44
    return resp.content     import urllib.request     return urllib.request.urlopen(url, timeout=timeout).read()
  • Network accessline 46
    return urllib.request.urlopen(url, timeout=timeout).read()

optional-skills/creative/meme-generation/scripts/templates.json

  • Network accessline 2
    "this-is-fine": {     "name": "This is Fine",     "url": "https://i.imgflip.com/wxica.jpg",
  • Network accessline 3
    "name": "This is Fine",     "url": "https://i.imgflip.com/wxica.jpg",     "best_for": "chaos, denial, pretending things are okay",
  • Network accessline 4
    "url": "https://i.imgflip.com/wxica.jpg",
  • Network accessline 11
    "drake": {     "name": "Drake Hotline Bling",     "url": "https://i.imgflip.com/30b1gx.jpg",
  • Network accessline 12
    "name": "Drake Hotline Bling",     "url": "https://i.imgflip.com/30b1gx.jpg",     "best_for": "rejecting one thing, preferring another",
  • Network accessline 13
    "url": "https://i.imgflip.com/30b1gx.jpg",
  • Network accessline 20
    "distracted-boyfriend": {     "name": "Distracted Boyfriend",     "url": "https://i.imgflip.com/1ur9b0.jpg",
  • Network accessline 21
    "name": "Distracted Boyfriend",     "url": "https://i.imgflip.com/1ur9b0.jpg",     "best_for": "distraction, shifting priorities, temptation",
  • Network accessline 22
    "url": "https://i.imgflip.com/1ur9b0.jpg",
  • Network accessline 30
    "two-buttons": {     "name": "Two Buttons",     "url": "https://i.imgflip.com/1g8my4.jpg",
  • Network accessline 31
    "name": "Two Buttons",     "url": "https://i.imgflip.com/1g8my4.jpg",     "best_for": "impossible choice, dilemma between two options",
  • Network accessline 32
    "url": "https://i.imgflip.com/1g8my4.jpg",
  • Network accessline 40
    "expanding-brain": {     "name": "Expanding Brain",     "url": "https://i.imgflip.com/1jwhww.jpg",
  • Network accessline 41
    "name": "Expanding Brain",     "url": "https://i.imgflip.com/1jwhww.jpg",     "best_for": "escalating irony, increasingly absurd ideas",
  • Network accessline 42
    "url": "https://i.imgflip.com/1jwhww.jpg",
  • Network accessline 51
    "change-my-mind": {     "name": "Change My Mind",     "url": "https://i.imgflip.com/24y43o.jpg",
  • Network accessline 52
    "name": "Change My Mind",     "url": "https://i.imgflip.com/24y43o.jpg",     "best_for": "strong or ironic opinion, controversial take",
  • Network accessline 53
    "url": "https://i.imgflip.com/24y43o.jpg",
  • Network accessline 59
    "woman-yelling-at-cat": {     "name": "Woman Yelling at Cat",     "url": "https://i.imgflip.com/345v97.jpg",
  • Network accessline 60
    "name": "Woman Yelling at Cat",     "url": "https://i.imgflip.com/345v97.jpg",     "best_for": "argument, blame, misunderstanding",
  • Network accessline 61
    "url": "https://i.imgflip.com/345v97.jpg",
  • Network accessline 68
    "one-does-not-simply": {     "name": "One Does Not Simply",     "url": "https://i.imgflip.com/1bij.jpg",
  • Network accessline 69
    "name": "One Does Not Simply",     "url": "https://i.imgflip.com/1bij.jpg",     "best_for": "something that sounds easy but is actually hard",
  • Network accessline 70
    "url": "https://i.imgflip.com/1bij.jpg",
  • Network accessline 77
    "grus-plan": {     "name": "Gru's Plan",     "url": "https://i.imgflip.com/26jxvs.jpg",
  • Network accessline 78
    "name": "Gru's Plan",     "url": "https://i.imgflip.com/26jxvs.jpg",     "best_for": "a plan that backfires, unexpected consequence",
  • Network accessline 79
    "url": "https://i.imgflip.com/26jxvs.jpg",
  • Network accessline 88
    "batman-slapping-robin": {     "name": "Batman Slapping Robin",     "url": "https://i.imgflip.com/9ehk.jpg",
  • Network accessline 89
    "name": "Batman Slapping Robin",     "url": "https://i.imgflip.com/9ehk.jpg",     "best_for": "shutting down a bad idea, correcting someone",
  • Network accessline 90
    "url": "https://i.imgflip.com/9ehk.jpg",

optional-skills/creative/mono-color/SKILL.md

  • Network accessline 12
    category: creative     related_skills: [baoyu-infographic, meme-generation, pixel-art]     upstream: https://github.com/yanliudesign/mono-color-skill
  • Network accessline 13
    related_skills: [baoyu-infographic, meme-generation, pixel-art]     upstream: https://github.com/yanliudesign/mono-color-skill ---
  • Network accessline 14
    upstream: https://github.com/yanliudesign/mono-color-skill

optional-skills/creative/pixel-art/ATTRIBUTION.md

  • Network accessline 8
    - Source: https://github.com/Synero/pixel-art-studio

optional-skills/creative/pixel-art/SKILL.md

  • Network accessline 11
    category: creative     credits:       - "Hardware palettes and animation loops ported from Synero/pixel-art-studio (MIT) — https://github.com/Synero/pixel-art-studio"
  • Network accessline 12
    credits:       - "Hardware palettes and animation loops ported from Synero/pixel-art-studio (MIT) — https://github.com/Synero/pixel-art-studio" ---
  • Network accessline 13
    - "Hardware palettes and animation loops ported from Synero/pixel-art-studio (MIT) — https://github.com/Synero/pixel-art-studio"
  • Network accessline 218
    Named hardware palettes and the procedural animation loops in `pixel_art_video.py` are ported from [pixel-art-studio](https://github.com/Synero/pixel-art-studio)
  • Network accessline 219
    are ported from [pixel-art-studio](https://github.com/Synero/pixel-art-studio)

optional-skills/creative/pixel-art/scripts/__init__.py

  • Executable scriptline 1
    Executable file

optional-skills/creative/pixel-art/scripts/palettes.py

  • Executable scriptline 1
    Executable file
  • Network accessline 3
    Palette RGB values sourced from pixel-art-studio (MIT License) https://github.com/Synero/pixel-art-studio — see ATTRIBUTION.md.
  • Network accessline 4
    https://github.com/Synero/pixel-art-studio — see ATTRIBUTION.md.

optional-skills/creative/pixel-art/scripts/pixel_art.py

  • Executable scriptline 1
    Executable file

optional-skills/creative/pixel-art/scripts/pixel_art_video.py

  • Executable scriptline 1
    Executable file
  • Network accessline 241
    raise RuntimeError(             "ffmpeg not found on PATH. Install via your package manager or "             "download from https://ffmpeg.org/"
  • Network accessline 242
    "ffmpeg not found on PATH. Install via your package manager or "             "download from https://ffmpeg.org/"         )
  • Network accessline 243
    "download from https://ffmpeg.org/"

optional-skills/creative/pretext/SKILL.md

  • Network accessline 18
    [`@chenglou/pretext`](https://github.com/chenglou/pretext) is a 15KB zero-dependency TypeScript library by Cheng Lou (React core, ReasonML, Midjourney) for **DOM-free multiline text measurement and layout**. It does one thing: given `(text,
  • Network accessline 68
    layoutNextLineRange, materializeLineRange, // use-case 2b: streaming / variable width   measureLineStats, walkLineRanges,  // stats without string allocation } from "https://esm.sh/@chenglou/pretext@0.0.6";
  • Network accessline 69
    measureLineStats, walkLineRanges,  // stats without string allocation } from "https://esm.sh/@chenglou/pretext@0.0.6"; </script>
  • Network accessline 70
    } from "https://esm.sh/@chenglou/pretext@0.0.6";
  • Network accessline 74
    Pin the version. `@0.0.6` at time of writing — check [npm](https://www.npmjs.com/package/@chenglou/pretext) for the latest if demo behavior is off.
  • Network accessline 161
    cd <dir-with-html> && python -m http.server 8765    # then open http://localhost:8765/<file>.html
  • Network accessline 162
    # then open http://localhost:8765/<file>.html
  • Network accessline 210
    Clone these for inspiration / patterns (all MIT-ish, linked from [pretext.cool](https://www.pretext.cool/)):
  • Network accessline 220
    Official playground: [chenglou.me/pretext](https://chenglou.me/pretext/) — accordion, bubbles, dynamic-layout, editorial-engine, justification-comparison, masonry, markdown-chat, rich-note.

optional-skills/creative/pretext/references/patterns.md

  • Network accessline 3
    Copy-pasteable snippets for the most common pretext demo shapes. Each pattern is self-contained — drop into an HTML `<script type="module">` after importing from `https://esm.sh/@chenglou/pretext@0.0.6`.

optional-skills/creative/pretext/templates/donut-orbit.html

  • Network accessline 5
    <meta name="viewport" content="width=device-width,initial-scale=1,user-scalable=no" /> <title>NOUS · pretext</title> <link rel="preconnect" href="https://fonts.googleapis.com">
  • Network accessline 6
    <title>NOUS · pretext</title> <link rel="preconnect" href="https://fonts.googleapis.com"> <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
  • Network accessline 7
    <link rel="preconnect" href="https://fonts.googleapis.com">
  • Network accessline 8
    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
  • Network accessline 9
    <link href="https://fonts.googleapis.com/css2?family=Geist+Mono:wght@400;500&display=block" rel="stylesheet">
  • Network accessline 149
    @font-face {     font-family: "Mondwest";     src: url("https://esm.sh/@nous-research/ui@0.4.0/dist/fonts/Mondwest-Regular.woff2") format("woff2");
  • Network accessline 150
    font-family: "Mondwest";     src: url("https://esm.sh/@nous-research/ui@0.4.0/dist/fonts/Mondwest-Regular.woff2") format("woff2");     font-weight: 400; font-style: normal; font-display: block;
  • Network accessline 151
    src: url("https://esm.sh/@nous-research/ui@0.4.0/dist/fonts/Mondwest-Regular.woff2") format("woff2");
  • Network accessline 154
    @font-face {     font-family: "Geist Mono";     src: url("https://cdn.jsdelivr.net/npm/@fontsource/geist-mono@5.2.5/files/geist-mono-latin-400-normal.woff2") format("woff2");
  • Network accessline 155
    font-family: "Geist Mono";     src: url("https://cdn.jsdelivr.net/npm/@fontsource/geist-mono@5.2.5/files/geist-mono-latin-400-normal.woff2") format("woff2");     font-weight: 400; font-style: normal; font-display: block;
  • Network accessline 156
    src: url("https://cdn.jsdelivr.net/npm/@fontsource/geist-mono@5.2.5/files/geist-mono-latin-400-normal.woff2") format("woff2");
  • Network accessline 159
    @font-face {     font-family: "JetBrains Mono";     src: url("https://cdn.jsdelivr.net/npm/@fontsource/jetbrains-mono@5.2.5/files/jetbrains-mono-latin-400-normal.woff2") format("woff2");
  • Network accessline 160
    font-family: "JetBrains Mono";     src: url("https://cdn.jsdelivr.net/npm/@fontsource/jetbrains-mono@5.2.5/files/jetbrains-mono-latin-400-normal.woff2") format("woff2");     font-weight: 400; font-style: normal; font-display: block;
  • Network accessline 161
    src: url("https://cdn.jsdelivr.net/npm/@fontsource/jetbrains-mono@5.2.5/files/jetbrains-mono-latin-400-normal.woff2") format("woff2");
  • Network accessline 179
    layoutNextLineRange,   materializeLineRange, } from "https://esm.sh/@chenglou/pretext@0.0.6";
  • Network accessline 180
    materializeLineRange, } from "https://esm.sh/@chenglou/pretext@0.0.6"; import gsap from "https://esm.sh/gsap@3.12.5";
  • Network accessline 181
    } from "https://esm.sh/@chenglou/pretext@0.0.6";
  • Network accessline 182
    import gsap from "https://esm.sh/gsap@3.12.5";
  • Network accessline 183
    import GUI from "https://esm.sh/lil-gui@0.19.2";
  • Network accessline 1450
    resize(); const DS_CDN = "https://esm.sh/@nous-research/ui@0.4.0/dist/fonts";
  • Network accessline 1451
    const DS_CDN = "https://esm.sh/@nous-research/ui@0.4.0/dist/fonts";

optional-skills/creative/pretext/templates/hello-orb-flow.html

  • Network accessline 20
    layoutNextLineRange,   materializeLineRange, } from "https://esm.sh/@chenglou/pretext@0.0.6";
  • Network accessline 22
    } from "https://esm.sh/@chenglou/pretext@0.0.6";

optional-skills/creative/simple-english/SKILL.md

  • Network accessline 3
    description: "Rewrite text to ASD-STE100 Simplified Technical English." version: 1.2.0 author: AminBlg (https://github.com/AminBlg/SimpleEnglish), ported by Hermes Agent
  • Network accessline 4
    version: 1.2.0 author: AminBlg (https://github.com/AminBlg/SimpleEnglish), ported by Hermes Agent license: MIT
  • Network accessline 5
    author: AminBlg (https://github.com/AminBlg/SimpleEnglish), ported by Hermes Agent
  • Network accessline 10
    tags: [writing, documentation, ste, asd-ste100, technical-writing, editing, anti-ai-slop]     category: creative     homepage: https://github.com/AminBlg/SimpleEnglish
  • Network accessline 11
    category: creative     homepage: https://github.com/AminBlg/SimpleEnglish     related_skills: [humanizer]
  • Network accessline 12
    homepage: https://github.com/AminBlg/SimpleEnglish

optional-skills/creative/sketch/SKILL.md

  • Network accessline 31
    > **Note:** The upstream GSD project ([gsd-build/get-shit-done](https://github.com/gsd-build/get-shit-done)) is **archived / no longer maintained** on GitHub. The npm package (`get-shit-done-cc`) still installs, but treat it as an archived 
  • Network accessline 82
    - Inline `<style>` — no build step, no external CSS - System fonts or one Google Font via `<link>` - Tailwind via CDN (`<script src="https://cdn.tailwindcss.com"></script>`) is fine
  • Network accessline 83
    - System fonts or one Google Font via `<link>` - Tailwind via CDN (`<script src="https://cdn.tailwindcss.com"></script>`) is fine - Realistic fake content — actual sentences, actual names, not "Lorem ipsum"
  • Network accessline 84
    - Tailwind via CDN (`<script src="https://cdn.tailwindcss.com"></script>`) is fine
  • Network accessline 224
    Adapted from the GSD (Get Shit Done) project's `/gsd-sketch` workflow — MIT © 2025 Lex Christopherson ([gsd-build/get-shit-done](https://github.com/gsd-build/get-shit-done)). The upstream GSD repo is now **archived/unmaintained** on GitHub;

optional-skills/creative/system-atlas/SKILL.md

  • Network accessline 11
    category: creative     related_skills: [architecture-diagram, excalidraw]     upstream: https://github.com/inkboard/system-atlas (pinned f7005f2)
  • Network accessline 12
    related_skills: [architecture-diagram, excalidraw]     upstream: https://github.com/inkboard/system-atlas (pinned f7005f2) ---
  • Network accessline 13
    upstream: https://github.com/inkboard/system-atlas (pinned f7005f2)

optional-skills/creative/system-atlas/assets/build.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/system-atlas/assets/data.example.mjs

  • Executable scriptline 1
    Executable file

optional-skills/creative/system-atlas/assets/template.html

  • Network accessline 2
    <meta charset="utf-8"> <title>__TITLE__</title> <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:ital,wght@0,400;0,500;0,600;1,400&display=swap">
  • Network accessline 3
    <title>__TITLE__</title> <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:ital,wght@0,400;0,500;0,600;1,400&display=swap"> <style>
  • Network accessline 4
    <link rel="stylesheet" href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:ital,wght@0,400;0,500;0,600;1,400&display=swap">
  • Network accessline 136
    <nav id="index" aria-label="Structures"></nav>     <div id="canvasWrap">       <svg id="svg" xmlns="http://www.w3.org/2000/svg">
  • Network accessline 137
    <div id="canvasWrap">       <svg id="svg" xmlns="http://www.w3.org/2000/svg">         <defs>
  • Network accessline 138
    <svg id="svg" xmlns="http://www.w3.org/2000/svg">
  • Network accessline 172
    const byId = Object.fromEntries(NODES.map(n=>[n.id,n])); const center = n => [n.gx+n.w/2, n.gy+n.d/2]; const NS='http://www.w3.org/2000/svg';
  • Network accessline 173
    const center = n => [n.gx+n.w/2, n.gy+n.d/2]; const NS='http://www.w3.org/2000/svg'; const el=(t,a={},...kids)=>{const e=document.createElementNS(NS,t);for(const k in a)e.setAttribute(k,a[k]);kids.forEach(k=>e.appendChild(k));return e;};
  • Network accessline 174
    const NS='http://www.w3.org/2000/svg';

optional-skills/creative/tldraw-offline/SKILL.md

  • Network accessline 38
    - **tldraw offline installed and running**, with a document open. Releases:   https://github.com/tldraw/tldraw-offline/releases/latest (macOS DMG, Windows
  • Network accessline 39
    https://github.com/tldraw/tldraw-offline/releases/latest (macOS DMG, Windows
  • Network accessline 66
    BASE=http://localhost:7236
  • Network accessline 67
    [Credential-related source omitted]
  • Network accessline 68
    [Credential-related source omitted]
  • Dangerous shell operationline 69
    [Credential-related source omitted]
  • Network accessline 69
    DOC=$(curl -s "$BASE/api/search" -X POST -H 'content-type: application/json' \
  • Network accessline 71
    -d '{"code":"return (await api.getFocusedDoc()).id"}' | python -c "import sys,json;print(json.load(sys.stdin)['result'])") # run code with the live `editor` + `helpers` in scope curl -s "$BASE/api/doc/$DOC/exec" -X POST -H 'content-type: ap
  • Network accessline 72
    [Credential-related source omitted]
  • Network accessline 73
    curl -s "$BASE/api/doc/$DOC/exec" -X POST -H 'content-type: application/json' \
  • Network accessline 82
    # get the live script file path for the doc curl -s "$BASE/api/doc/$DOC/script-workspace" -X POST \
  • Network accessline 83
    curl -s "$BASE/api/doc/$DOC/script-workspace" -X POST \
  • Network accessline 85
    [Credential-related source omitted]
  • Network accessline 87
    [Credential-related source omitted]

optional-skills/creative/tldraw-offline/scripts/counter.js

  • Executable scriptline 1
    Executable file

optional-skills/creative/tldraw-offline/scripts/main.js

  • Executable scriptline 1
    Executable file

optional-skills/creative/tldraw-offline/scripts/validate_shapes.mjs

  • Executable scriptline 1
    #!/usr/bin/env node

optional-skills/creative/unreal-mcp/SKILL.md

  • Network accessline 55
    server connects but the agent has nothing to call. 4. **Edit > Editor Preferences > General > Model Context Protocol** — enable    **Auto Start Server**. Default bind is `http://127.0.0.1:8000/mcp`
  • Network accessline 56
    4. **Edit > Editor Preferences > General > Model Context Protocol** — enable    **Auto Start Server**. Default bind is `http://127.0.0.1:8000/mcp`    (port/path configurable in the same panel; server name is `unreal-mcp`).
  • Network accessline 57
    **Auto Start Server**. Default bind is `http://127.0.0.1:8000/mcp`
  • Network accessline 66
    This writes the `mcp_servers.unreal-engine` HTTP entry pointing at `http://127.0.0.1:8000/mcp` and probes the live server for its tools. Run it
  • Network accessline 67
    `http://127.0.0.1:8000/mcp` and probes the live server for its tools. Run it

optional-skills/creative/unreal-mcp/references/pitfalls.md

  • Dangerous shell operationline 32
    it: `sudo xcode-select -s /path/to/Xcode.app`. Verify with
  • Network accessline 41
    Server Port Number in Editor Preferences > Model Context Protocol AND the `url` in `~/.hermes/config.yaml` (`mcp_servers.unreal-engine`), then restart both sides. Verify: `curl -s -o /dev/null -w '%{http_code}' http://127.0.0.1:8000/mcp`
  • Network accessline 42
    `url` in `~/.hermes/config.yaml` (`mcp_servers.unreal-engine`), then restart both sides. Verify: `curl -s -o /dev/null -w '%{http_code}' http://127.0.0.1:8000/mcp` (non-000 means something is listening; whether it's Unreal is a different
  • Network accessline 43
    both sides. Verify: `curl -s -o /dev/null -w '%{http_code}' http://127.0.0.1:8000/mcp`

optional-skills/creative/unreal-mcp/references/tool-surface.md

  • Network accessline 11
    The **Unreal MCP** plugin hosts the HTTP server inside the editor process (default `http://127.0.0.1:8000/mcp`, loopback-only, no auth, HTTP + SSE
  • Network accessline 12
    (default `http://127.0.0.1:8000/mcp`, loopback-only, no auth, HTTP + SSE
  • Network accessline 272
    console. - **MCP Inspector** (`npx @modelcontextprotocol/inspector`, point at   `http://127.0.0.1:8000/mcp`, transport "Streamable HTTP") lists every
  • Network accessline 273
    - **MCP Inspector** (`npx @modelcontextprotocol/inspector`, point at   `http://127.0.0.1:8000/mcp`, transport "Streamable HTTP") lists every   advertised tool with schemas and offers form-based invocation — isolates
  • Network accessline 274
    `http://127.0.0.1:8000/mcp`, transport "Streamable HTTP") lists every

optional-skills/data-science/jupyter-notebook/SKILL.md

  • Network accessline 45
    git clone https://github.com/hamelsmu/hamelnb.git ~/.agent-skills/hamelnb
  • Network accessline 73
    curl -s -X POST http://127.0.0.1:8888/api/sessions \

optional-skills/devops/actual-setup/SKILL.md

  • Network accessline 16
    Sets up [actual.inc](https://actual.inc) (Actual Computer) as a Hermes inference
  • Network accessline 17
    provider. Actual turns the user's own hardware into a private inference cluster and exposes an OpenAI-compatible API two ways: a hosted end-to-end-encrypted relay at `https://api.actual.inc` (authenticated with an `ac_` key), and a local
  • Network accessline 18
    and exposes an OpenAI-compatible API two ways: a hosted end-to-end-encrypted relay at `https://api.actual.inc` (authenticated with an `ac_` key), and a local on-device daemon at `http://127.0.0.1:8080` (no auth on loopback). This skill
  • Network accessline 19
    relay at `https://api.actual.inc` (authenticated with an `ac_` key), and a local
  • Network accessline 20
    on-device daemon at `http://127.0.0.1:8080` (no auth on loopback). This skill
  • Network accessline 37
    Responses transport, and local no-auth automatically. - Relay mode: an Actual account and an `ac_` inference key from   https://actual.inc/user/keys.
  • Network accessline 38
    - Relay mode: an Actual account and an `ac_` inference key from   https://actual.inc/user/keys. - Local mode: the user has installed the daemon
  • Network accessline 39
    https://actual.inc/user/keys. - Local mode: the user has installed the daemon   (`curl -fsSL "https://actual.inc/install" | bash`) and completed device
  • Network accessline 40
    - Local mode: the user has installed the daemon   (`curl -fsSL "https://actual.inc/install" | bash`) and completed device   authorization by running `actual` once and opening the printed
  • Dangerous shell operationline 41
    (`curl -fsSL "https://actual.inc/install" | bash`) and completed device
  • Network accessline 41
    (`curl -fsSL "https://actual.inc/install" | bash`) and completed device
  • Network accessline 42
    authorization by running `actual` once and opening the printed   `https://actual.inc/device?code=...` URL in a browser. Relay that URL to the   user and WAIT — never invent an email or authorize on their behalf. Codes
  • Network accessline 43
    `https://actual.inc/device?code=...` URL in a browser. Relay that URL to the
  • Access to secretsline 52
    [Credential-related source omitted]
  • Network accessline 55
    [Credential-related source omitted]
  • Access to secretsline 55
    [Credential-related source omitted]
  • Network accessline 78
    3. Point Hermes at the daemon. `ACTUAL_BASE_URL` with a loopback host flips the    built-in provider into local no-auth mode automatically — no key needed:    append `ACTUAL_BASE_URL=http://127.0.0.1:8080` to `~/.hermes/.env`, then:
  • Network accessline 80
    append `ACTUAL_BASE_URL=http://127.0.0.1:8080` to `~/.hermes/.env`, then:
  • Network accessline 92
    | Thing | Value | |---|---| | Hosted relay | `https://api.actual.inc/v1` (normalized from bare host automatically) |
  • Network accessline 93
    |---|---| | Hosted relay | `https://api.actual.inc/v1` (normalized from bare host automatically) | | Local daemon | `http://127.0.0.1:8080/v1` (no auth on loopback) |
  • Network accessline 94
    | Hosted relay | `https://api.actual.inc/v1` (normalized from bare host automatically) |
  • Network accessline 95
    | Local daemon | `http://127.0.0.1:8080/v1` (no auth on loopback) |
  • Access to secretsline 96
    [Credential-related source omitted]

optional-skills/devops/actual-setup/references/opencode.md

  • Network accessline 34
    {   "$schema": "https://opencode.ai/config.json",
  • Network accessline 35
    "$schema": "https://opencode.ai/config.json",
  • Network accessline 39
    "name": "Actual (GLM cluster)",       "options": {         "baseURL": "https://api.actual.inc/v1",
  • Network accessline 40
    "options": {         "baseURL": "https://api.actual.inc/v1",         "headers": {
  • Network accessline 41
    "baseURL": "https://api.actual.inc/v1",
  • Network accessline 60
    [Credential-related source omitted]
  • Network accessline 61
    [Credential-related source omitted]
  • Network accessline 62
    [Credential-related source omitted]

optional-skills/devops/docker-management/SKILL.md

  • Executable scriptline 1
    Executable file
  • Dangerous shell operationline 46
    | Stop + remove | `docker stop NAME && docker rm NAME` |
  • Dangerous shell operationline 103
    docker rm NAME                   # remove stopped container
  • Dangerous shell operationline 104
    docker rm -f NAME                # force remove running container
  • Dangerous shell operationline 212
    docker volume rm mydata                # remove (fails if in use)
  • Dangerous shell operationline 221
    docker network rm mynet                # remove network
  • Network accessline 265
    - **Container started?** → `docker ps` (check status is "Up") - **Logs clean?** → `docker logs --tail 20 NAME` (no errors) - **Port accessible?** → `curl -s http://localhost:PORT` or `docker port NAME`
  • Network accessline 266
    - **Logs clean?** → `docker logs --tail 20 NAME` (no errors) - **Port accessible?** → `curl -s http://localhost:PORT` or `docker port NAME` - **Image built?** → `docker images | grep TAG`
  • Network accessline 267
    - **Port accessible?** → `curl -s http://localhost:PORT` or `docker port NAME`

optional-skills/devops/hermes-s6-container-supervision/SKILL.md

  • Access to secretsline 37
    [Credential-related source omitted]
  • Network accessline 82
    1. **cont-init.d scripts receive no CMD args** — so the stage2 hook can't parse `docker run <image> chat -q "hi"` to set `HERMES_ARGS` for a service `run` script to consume. 2. **`/run/s6/basedir/bin/halt` does NOT propagate the exit code**
  • Network accessline 83
    2. **`/run/s6/basedir/bin/halt` does NOT propagate the exit code** written to `/run/s6-linux-init-container-results/exitcode`. Containers always exit 143 (SIGTERM) regardless. Confirmed by skarnet (s6 author) in [issue #477](https://github.

optional-skills/devops/inference-sh-cli/SKILL.md

  • Dangerous shell operationline 40
    curl -fsSL https://cli.inference.sh | sh
  • Network accessline 40
    curl -fsSL https://cli.inference.sh | sh
  • Access to secretsline 147
    [Credential-related source omitted]

optional-skills/devops/inference-sh-cli/references/app-discovery.md

  • Network accessline 110
    - [Browsing the Grid](https://inference.sh/docs/apps/browsing-grid) - Visual app browsing
  • Network accessline 111
    - [Apps Overview](https://inference.sh/docs/apps/overview) - Understanding apps
  • Network accessline 112
    - [Running Apps](https://inference.sh/docs/apps/running) - How to run apps

optional-skills/devops/inference-sh-cli/references/authentication.md

  • Dangerous shell operationline 6
    curl -fsSL https://cli.inference.sh | sh
  • Network accessline 6
    curl -fsSL https://cli.inference.sh | sh
  • Access to secretsline 30
    [Credential-related source omitted]
  • Dangerous shell operationline 44
    curl -fsSL https://cli.inference.sh | sh
  • Network accessline 44
    curl -fsSL https://cli.inference.sh | sh
  • Access to secretsline 53
    [Credential-related source omitted]
  • Network accessline 57
    - [CLI Setup](https://inference.sh/docs/extend/cli-setup) - Complete CLI installation guide
  • Network accessline 58
    - [API Authentication](https://inference.sh/docs/api/authentication) - API key management
  • Network accessline 59
    - [Secrets](https://inference.sh/docs/secrets/overview) - Managing credentials

optional-skills/devops/inference-sh-cli/references/cli-reference.md

  • Dangerous shell operationline 6
    curl -fsSL https://cli.inference.sh | sh
  • Network accessline 6
    curl -fsSL https://cli.inference.sh | sh
  • Access to secretsline 72
    [Credential-related source omitted]
  • Network accessline 101
    - [CLI Setup](https://inference.sh/docs/extend/cli-setup) - Complete CLI installation guide
  • Network accessline 102
    - [Running Apps](https://inference.sh/docs/apps/running) - How to run apps via CLI
  • Network accessline 103
    - [Creating an App](https://inference.sh/docs/extend/creating-app) - Build your own apps
  • Network accessline 104
    - [Deploying](https://inference.sh/docs/extend/deploying) - Deploy apps to the cloud

optional-skills/devops/inference-sh-cli/references/running-apps.md

  • Network accessline 150
    "images": [     {       "url": "https://cloud.inference.sh/...",
  • Network accessline 151
    {       "url": "https://cloud.inference.sh/...",       "content_type": "image/png"
  • Network accessline 152
    "url": "https://cloud.inference.sh/...",
  • Network accessline 169
    - [Running Apps](https://inference.sh/docs/apps/running) - Complete running apps guide
  • Network accessline 170
    - [Streaming Results](https://inference.sh/docs/api/sdk/streaming) - Real-time progress updates
  • Network accessline 171
    - [Setup Parameters](https://inference.sh/docs/apps/setup-parameters) - Configuring app inputs

optional-skills/devops/pinggy-tunnel/SKILL.md

  • Access to secretsline 68
    [Credential-related source omitted]
  • Network accessline 78
    curl -sI http://127.0.0.1:8000/ | head -1
  • Network accessline 105
    sleep 4 grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/pinggy-8000.log | head -1
  • Network accessline 106
    grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/pinggy-8000.log | head -1
  • Network accessline 112
    You are not authenticated. Your tunnel will expire in 60 minutes. http://yqycl-98-162-69-48.a.free.pinggy.link
  • Network accessline 113
    Your tunnel will expire in 60 minutes. http://yqycl-98-162-69-48.a.free.pinggy.link https://yqycl-98-162-69-48.a.free.pinggy.link
  • Network accessline 114
    http://yqycl-98-162-69-48.a.free.pinggy.link
  • Network accessline 115
    https://yqycl-98-162-69-48.a.free.pinggy.link
  • Network accessline 118
    Hand the `https://...pinggy.link` URL to the user.
  • Network accessline 123
    curl -sI https://<the-url>/ | head -3
  • Network accessline 165
    Then open `http://localhost:4300` in a browser to see live request/response pairs.
  • Access to secretsline 177
    [Credential-related source omitted]
  • Network accessline 214
    echo $! >~/.hermes/cache/scratch/webhook-pinggy.pid sleep 5 URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/webhook-pinggy.log | head -1)
  • Network accessline 215
    sleep 5 URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/webhook-pinggy.log | head -1) echo "Webhook URL: $URL"
  • Network accessline 216
    URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/webhook-pinggy.log | head -1)
  • Network accessline 241
    echo $! >~/.hermes/cache/scratch/mcp-pinggy.pid sleep 5 URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/mcp-pinggy.log | head -1)
  • Network accessline 242
    sleep 5 URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/mcp-pinggy.log | head -1) echo "MCP URL: $URL"
  • Network accessline 243
    URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/mcp-pinggy.log | head -1)
  • Network accessline 261
    echo $! >~/.hermes/cache/scratch/llm-pinggy.pid sleep 5 URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/llm-pinggy.log | head -1)
  • Network accessline 262
    sleep 5 URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/llm-pinggy.log | head -1) echo "Endpoint: $URL"
  • Network accessline 263
    URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/llm-pinggy.log | head -1)
  • Network accessline 267
    [Credential-related source omitted]
  • Network accessline 268
    [Credential-related source omitted]
  • Network accessline 301
    sleep 5 URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/pinggy-verify.log | head -1)
  • Network accessline 302
    URL=$(grep -oE 'https://[a-z0-9-]+\.[a-z]+\.pinggy\.link' ~/.hermes/cache/scratch/pinggy-verify.log | head -1) echo "URL: $URL" curl -sI "$URL/" | head -1
  • Network accessline 304
    curl -sI "$URL/" | head -1
  • Network accessline 309
    Expected: a `pinggy.link` URL and `HTTP/2 200` on the curl head.

optional-skills/devops/setup-wizard-generator/templates/template.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Access to secretsline 98
    [Credential-related source omitted]
  • Access to secretsline 174
    [Credential-related source omitted]
  • Network accessline 192
    stage "Stripe: API keys" say "We'll grab your Stripe test keys and store them for local dev + CI." open_url "https://dashboard.stripe.com/test/apikeys"
  • Network accessline 193
    say "We'll grab your Stripe test keys and store them for local dev + CI." open_url "https://dashboard.stripe.com/test/apikeys" step "On the API keys page, copy the Publishable key (starts pk_test_)."
  • Network accessline 194
    open_url "https://dashboard.stripe.com/test/apikeys"
  • Access to secretsline 199
    [Credential-related source omitted]
  • Access to secretsline 200
    [Credential-related source omitted]
  • Access to secretsline 201
    [Credential-related source omitted]

optional-skills/devops/watchers/SKILL.md

  • Network accessline 61
    python $HERMES_HOME/skills/devops/watchers/scripts/watch_rss.py \   --name hn --url https://news.ycombinator.com/rss --max 5
  • Network accessline 62
    --name hn --url https://news.ycombinator.com/rss --max 5
  • Network accessline 75
    python $HERMES_HOME/skills/devops/watchers/scripts/watch_http_json.py \   --name api --url https://api.example.com/events \
  • Network accessline 76
    --name api --url https://api.example.com/events \
  • Network accessline 84
    > Every 15 minutes, run `watch_rss.py --name hn --url https://news.ycombinator.com/rss`. If it prints anything, summarize the headlines and deliver them. If it prints nothing, stay silent.
  • Dangerous shell operationline 99
    rm $HERMES_HOME/watcher-state/hn.json

optional-skills/devops/watchers/scripts/_watermark.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 32
    [Credential-related source omitted]
  • Access to secretsline 36
    [Credential-related source omitted]

optional-skills/devops/watchers/scripts/watch_github.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 11
    [Credential-related source omitted]
  • Network accessline 95
    if args.search:         url = (             "https://api.github.com/search/issues"
  • Network accessline 96
    url = (             "https://api.github.com/search/issues"             f"?q={urllib.parse.quote(args.search)}&per_page={args.per_page}"
  • Network accessline 97
    "https://api.github.com/search/issues"             f"?q={urllib.parse.quote(args.search)}&per_page={args.per_page}"         )
  • Network accessline 101
    items_path = "items"     elif args.scope == "commits":         url = f"https://api.github.com/repos/{args.repo}/commits?per_page={args.per_page}"
  • Network accessline 102
    elif args.scope == "commits":         url = f"https://api.github.com/repos/{args.repo}/commits?per_page={args.per_page}"         flatten = _flatten_commit
  • Network accessline 103
    url = f"https://api.github.com/repos/{args.repo}/commits?per_page={args.per_page}"
  • Network accessline 106
    else:         url = (             f"https://api.github.com/repos/{args.repo}/{args.scope}"
  • Network accessline 107
    url = (             f"https://api.github.com/repos/{args.repo}/{args.scope}"             f"?per_page={args.per_page}&state=all"
  • Network accessline 108
    f"https://api.github.com/repos/{args.repo}/{args.scope}"
  • Access to secretsline 118
    [Credential-related source omitted]
  • Network accessline 122
    req = urllib.request.Request(url)
  • Network accessline 126
    try:         with urllib.request.urlopen(req, timeout=args.timeout) as resp:
  • Network accessline 127
    with urllib.request.urlopen(req, timeout=args.timeout) as resp:

optional-skills/devops/watchers/scripts/watch_http_json.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 6
    hermes cron create api-events \       --schedule "*/1 * * * *" --no-agent \       --script "$HERMES_HOME/skills/devops/watchers/scripts/watch_http_json.py" \       --script-args "--name api --url https://api.example.com/events \
  • Network accessline 7
    --schedule "*/1 * * * *" --no-agent \\       --script "$HERMES_HOME/skills/devops/watchers/scripts/watch_http_json.py" \\       --script-args "--name api --url https://api.example.com/events \\
  • Network accessline 8
    --script "$HERMES_HOME/skills/devops/watchers/scripts/watch_http_json.py" \\       --script-args "--name api --url https://api.example.com/events \\                      --id-field event_id --items-path data.events"
  • Network accessline 9
    --script-args "--name api --url https://api.example.com/events \\
  • Network accessline 79
    req = urllib.request.Request(args.url, headers={"User-Agent": "Hermes-Watcher/1.0"})
  • Network accessline 83
    try:         with urllib.request.urlopen(req, timeout=args.timeout) as resp:
  • Network accessline 84
    with urllib.request.urlopen(req, timeout=args.timeout) as resp:

optional-skills/devops/watchers/scripts/watch_rss.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 6
    hermes cron create my-feed \       --schedule "*/15 * * * *" --no-agent \       --script "$HERMES_HOME/skills/devops/watchers/scripts/watch_rss.py" \       --script-args "--name hn --url https://news.ycombinator.com/rss"
  • Network accessline 7
    --schedule "*/15 * * * *" --no-agent \\       --script "$HERMES_HOME/skills/devops/watchers/scripts/watch_rss.py" \\       --script-args "--name hn --url https://news.ycombinator.com/rss"
  • Network accessline 9
    --script-args "--name hn --url https://news.ycombinator.com/rss"
  • Network accessline 90
    try:         req = urllib.request.Request(args.url, headers={"User-Agent": "Hermes-Watcher/1.0"})
  • Network accessline 91
    req = urllib.request.Request(args.url, headers={"User-Agent": "Hermes-Watcher/1.0"})
  • Network accessline 92
    with urllib.request.urlopen(req, timeout=args.timeout) as resp:

optional-skills/email/agentmail/SKILL.md

  • Network accessline 9
    hermes:     tags: [Email, CLI, AgentMail, Communication]     homepage: https://agentmail.to
  • Network accessline 10
    tags: [Email, CLI, AgentMail, Communication]     homepage: https://agentmail.to prerequisites:
  • Network accessline 11
    homepage: https://agentmail.to
  • Network accessline 15
    [Credential-related source omitted]
  • Access to secretsline 15
    [Credential-related source omitted]
  • Network accessline 16
    prompt: AgentMail API key (starts with am_)     help: "Create one at https://console.agentmail.to — or run the CLI self-signup flow in references/signup.md to obtain a key without one."     required_for: "authenticating the agentmail CLI; n
  • Network accessline 17
    help: "Create one at https://console.agentmail.to — or run the CLI self-signup flow in references/signup.md to obtain a key without one."
  • Access to secretsline 49
    [Credential-related source omitted]
  • Network accessline 64
    - [AgentMail agent reference](https://agentmail.md): hosted copy.
  • Network accessline 65
    - [AgentMail](https://agentmail.to): product landing page.
  • Network accessline 66
    - [Console](https://console.agentmail.to): API keys and account management.
  • Network accessline 67
    - [Docs](https://docs.agentmail.to): full product documentation.
  • Access to secretsline 85
    [Credential-related source omitted]

optional-skills/email/agentmail/references/core.md

  • Access to secretsline 12
    [Credential-related source omitted]
  • Network accessline 109
    [Credential-related source omitted]
  • Access to secretsline 109
    [Credential-related source omitted]
  • Access to secretsline 110
    [Credential-related source omitted]
  • Network accessline 113
    Base URLs: `https://api.agentmail.to/v0`, `https://api.agentmail.eu/v0`.

optional-skills/email/agentmail/references/mcp.md

  • Network accessline 9
    https://mcp.agentmail.to/mcp

optional-skills/email/agentmail/references/signup.md

  • Access to secretsline 18
    [Credential-related source omitted]
  • Access to secretsline 21
    [Credential-related source omitted]

optional-skills/email/agentmail/references/webhooks.md

  • Network accessline 9
    agentmail webhooks create \   --url https://your-app.example.com/webhooks/agentmail \
  • Network accessline 10
    --url https://your-app.example.com/webhooks/agentmail \

optional-skills/email/agentmail/references/websockets.md

  • Access to secretsline 14
    [Credential-related source omitted]
  • Access to secretsline 35
    [Credential-related source omitted]
  • Access to secretsline 41
    [Credential-related source omitted]

optional-skills/finance/3-statement-model/SKILL.md

  • Network accessline 423
    - **If you have any structured financial-data MCP configured** (Hermes supports MCP — see `native-mcp` skill), prefer it for point-in-time comps, precedent transactions, and filings. - **Otherwise**, fall back to:   - `web_search` / `web_ex
  • Network accessline 424
    - **Otherwise**, fall back to:   - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings   - Company IR pages for press releases, earnings decks
  • Network accessline 425
    - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings
  • Network accessline 433
    This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the `excel-author` skill's conventions. Or

optional-skills/finance/3-statement-model/references/sec-filings.md

  • Network accessline 13
    1. Use SEC EDGAR: `https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=[TICKER]&type=10-K`

optional-skills/finance/comps-analysis/SKILL.md

  • Network accessline 652
    - **If you have any structured financial-data MCP configured** (Hermes supports MCP — see `native-mcp` skill), prefer it for point-in-time comps, precedent transactions, and filings. - **Otherwise**, fall back to:   - `web_search` / `web_ex
  • Network accessline 653
    - **Otherwise**, fall back to:   - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings   - Company IR pages for press releases, earnings decks
  • Network accessline 654
    - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings
  • Network accessline 662
    This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the `excel-author` skill's conventions. Or

optional-skills/finance/dcf-model/SKILL.md

  • Network accessline 1260
    - **If you have any structured financial-data MCP configured** (Hermes supports MCP — see `native-mcp` skill), prefer it for point-in-time comps, precedent transactions, and filings. - **Otherwise**, fall back to:   - `web_search` / `web_ex
  • Network accessline 1261
    - **Otherwise**, fall back to:   - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings   - Company IR pages for press releases, earnings decks
  • Network accessline 1262
    - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings
  • Network accessline 1270
    This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the `excel-author` skill's conventions. Or

optional-skills/finance/dcf-model/scripts/validate_dcf.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/finance/excel-author/SKILL.md

  • Network accessline 18
    Adapted from Anthropic's `xlsx-author` and `audit-xls` skills in the [anthropics/financial-services](https://github.com/anthropics/financial-services) repo. The MCP / Office-JS / Cowork-specific branches of the originals are dropped — this 
  • Dangerous shell operationline 53
    case "$old" in hermes-docs-venv.??????) rm -rf "$old" ;; esac
  • Dangerous shell operationline 55
    [ "$(readlink hermes-docs-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"
  • Network accessline 275
    Conventions (blue/black/green, formulas-over-hardcodes, named ranges, sensitivity rules) adapted from Anthropic's Claude for Financial Services plugin suite, Apache-2.0 licensed. Original: https://github.com/anthropics/financial-services/tr

optional-skills/finance/excel-author/scripts/recalc.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/finance/lbo-model/SKILL.md

  • Network accessline 281
    - **If you have any structured financial-data MCP configured** (Hermes supports MCP — see `native-mcp` skill), prefer it for point-in-time comps, precedent transactions, and filings. - **Otherwise**, fall back to:   - `web_search` / `web_ex
  • Network accessline 282
    - **Otherwise**, fall back to:   - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings   - Company IR pages for press releases, earnings decks
  • Network accessline 283
    - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings
  • Network accessline 291
    This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the `excel-author` skill's conventions. Or

optional-skills/finance/merger-model/SKILL.md

  • Network accessline 134
    - **If you have any structured financial-data MCP configured** (Hermes supports MCP — see `native-mcp` skill), prefer it for point-in-time comps, precedent transactions, and filings. - **Otherwise**, fall back to:   - `web_search` / `web_ex
  • Network accessline 135
    - **Otherwise**, fall back to:   - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings   - Company IR pages for press releases, earnings decks
  • Network accessline 136
    - `web_search` / `web_extract` against SEC EDGAR (`https://www.sec.gov/cgi-bin/browse-edgar`) for US filings
  • Network accessline 144
    This skill is adapted from Anthropic's Claude for Financial Services plugin suite (Apache-2.0). The Office-JS / Cowork live-Excel paths have been removed; this version targets headless openpyxl via the `excel-author` skill's conventions. Or

optional-skills/finance/polymarket/SKILL.md

  • Network accessline 16
    See `references/api-endpoints.md` for the full endpoint reference with curl examples.

optional-skills/finance/polymarket/scripts/polymarket.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 22
    GAMMA = "https://gamma-api.polymarket.com"
  • Network accessline 23
    CLOB = "https://clob.polymarket.com"
  • Network accessline 24
    DATA = "https://data-api.polymarket.com"
  • Network accessline 29
    req = urllib.request.Request(url, headers={"User-Agent": "hermes-agent/1.0"})
  • Network accessline 30
    try:         with urllib.request.urlopen(req, timeout=15) as resp:             return json.loads(resp.read().decode())
  • Network accessline 31
    with urllib.request.urlopen(req, timeout=15) as resp:

optional-skills/finance/pptx-author/SKILL.md

  • Network accessline 18
    Adapted from Anthropic's `pptx-author` and `pitch-deck` skills in [anthropics/financial-services](https://github.com/anthropics/financial-services). The MCP / Office-JS branches of the originals are dropped — this assumes headless Python.
  • Dangerous shell operationline 54
    case "$old" in hermes-docs-venv.??????) rm -rf "$old" ;; esac
  • Dangerous shell operationline 56
    [ "$(readlink hermes-docs-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"
  • Network accessline 204
    Conventions adapted from Anthropic's Claude for Financial Services plugin suite, Apache-2.0 licensed. Original: https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/pitch-agent/skills/pptx-author

optional-skills/finance/stocks/SKILL.md

  • Network accessline 31
    Python 3.8+ stdlib only. Optional: set `ALPHA_VANTAGE_KEY` to enrich `market_cap`, `pe_ratio`, and 52-week levels when Yahoo's crumb-protected fields come back null. Free key: https://www.alphavantage.co/support/#api-key
  • Network accessline 33
    fields come back null. Free key: https://www.alphavantage.co/support/#api-key

optional-skills/finance/stocks/scripts/stocks_client.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 22
    USER_AGENT = "Mozilla/5.0 (compatible; HermesAgent/1.0)" YF_BASE = "https://query1.finance.yahoo.com"
  • Network accessline 23
    YF_BASE = "https://query1.finance.yahoo.com"
  • Network accessline 24
    YF_BASE2 = "https://query2.finance.yahoo.com"
  • Network accessline 25
    AV_BASE = "https://www.alphavantage.co/query"
  • Network accessline 106
    def _build_request(url: str, headers: dict | None = None) -> urllib.request.Request:
  • Network accessline 107
    req = urllib.request.Request(url)
  • Network accessline 153
    try:         req = _build_request("https://finance.yahoo.com/")
  • Network accessline 154
    req = _build_request("https://finance.yahoo.com/")
  • Access to secretsline 243
    [Credential-related source omitted]
  • Access to secretsline 377
    [Credential-related source omitted]

optional-skills/gaming/minecraft-modpack-server/SKILL.md

  • Network accessline 38
    mkdir -p ~/minecraft-server cd ~/minecraft-server wget -O serverpack.zip "<URL>"
  • Network accessline 39
    cd ~/minecraft-server wget -O serverpack.zip "<URL>" unzip -o serverpack.zip -d server
  • Network accessline 40
    wget -O serverpack.zip "<URL>"
  • Dangerous shell operationline 48
    - Minecraft 1.21+ → Java 21: `sudo apt install openjdk-21-jre-headless`
  • Dangerous shell operationline 49
    - Minecraft 1.18-1.20 → Java 17: `sudo apt install openjdk-17-jre-headless`
  • Dangerous shell operationline 50
    - Minecraft 1.16 and below → Java 8: `sudo apt install openjdk-8-jre-headless`
  • Dangerous shell operationline 128
    sudo ufw allow 25565/tcp comment "Minecraft Server"
  • Dangerous shell operationline 130
    Check with: `sudo ufw status | grep 25565`
  • Dangerous shell operationline 163
    ls -1t "$BACKUP_DIR"/world_*.tar.gz | tail -n "$REMOVE" | xargs rm -f

optional-skills/health/fitness-nutrition/SKILL.md

  • Network accessline 17
    [Credential-related source omitted]
  • Access to secretsline 17
    [Credential-related source omitted]
  • Network accessline 18
    prompt: "USDA FoodData Central API key (free)"     help: "Get one free at https://fdc.nal.usda.gov/api-key-signup/ — or skip to use DEMO_KEY with lower rate limits"     required_for: "higher rate limits on food/nutrition lookups (DEMO_KEY w
  • Network accessline 19
    help: "Get one free at https://fdc.nal.usda.gov/api-key-signup/ — or skip to use DEMO_KEY with lower rate limits"
  • Network accessline 31
    - **wger** (https://wger.de/api/v2/) — open exercise database, 690+ exercises with muscles, equipment, images. Public endpoints need zero authentication.
  • Network accessline 32
    - **USDA FoodData Central** (https://api.nal.usda.gov/fdc/v1/) — US government nutrition database, 380,000+ foods. `DEMO_KEY` works instantly; free signup for higher limits.
  • Network accessline 112
    QUERY="$1" ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$QUERY") curl -s "https://wger.de/api/v2/exercise/search/?term=${ENCODED}&language=english&format=json" \
  • Network accessline 113
    ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$QUERY") curl -s "https://wger.de/api/v2/exercise/search/?term=${ENCODED}&language=english&format=json" \   | python -c "
  • Dangerous shell operationline 114
    curl -s "https://wger.de/api/v2/exercise/search/?term=${ENCODED}&language=english&format=json"    | python -c "
  • Network accessline 114
    curl -s "https://wger.de/api/v2/exercise/search/?term=${ENCODED}&language=english&format=json" \
  • Network accessline 125
    # Get full details for a specific exercise EXERCISE_ID="$1" curl -s "https://wger.de/api/v2/exerciseinfo/${EXERCISE_ID}/?format=json" \
  • Network accessline 126
    EXERCISE_ID="$1" curl -s "https://wger.de/api/v2/exerciseinfo/${EXERCISE_ID}/?format=json" \   | python -c "
  • Dangerous shell operationline 127
    curl -s "https://wger.de/api/v2/exerciseinfo/${EXERCISE_ID}/?format=json"    | python -c "
  • Network accessline 127
    curl -s "https://wger.de/api/v2/exerciseinfo/${EXERCISE_ID}/?format=json" \
  • Network accessline 147
    # Combine filters as needed: ?muscles=4&equipment=1&language=2&status=2 FILTER="$1"  # e.g. "muscles=4" or "category=11" or "equipment=3" curl -s "https://wger.de/api/v2/exercise/?${FILTER}&language=2&status=2&limit=20&format=json" \
  • Network accessline 148
    FILTER="$1"  # e.g. "muscles=4" or "category=11" or "equipment=3" curl -s "https://wger.de/api/v2/exercise/?${FILTER}&language=2&status=2&limit=20&format=json" \   | python -c "
  • Dangerous shell operationline 149
    curl -s "https://wger.de/api/v2/exercise/?${FILTER}&language=2&status=2&limit=20&format=json"    | python -c "
  • Network accessline 149
    curl -s "https://wger.de/api/v2/exercise/?${FILTER}&language=2&status=2&limit=20&format=json" \
  • Access to secretsline 161
    [Credential-related source omitted]
  • Network accessline 167
    [Credential-related source omitted]
  • Access to secretsline 167
    [Credential-related source omitted]
  • Network accessline 168
    [Credential-related source omitted]
  • Dangerous shell operationline 169
    [Credential-related source omitted]
  • Network accessline 169
    [Credential-related source omitted]
  • Access to secretsline 169
    [Credential-related source omitted]
  • Network accessline 188
    [Credential-related source omitted]
  • Network accessline 189
    [Credential-related source omitted]
  • Access to secretsline 189
    [Credential-related source omitted]
  • Dangerous shell operationline 190
    [Credential-related source omitted]
  • Network accessline 190
    [Credential-related source omitted]
  • Access to secretsline 190
    [Credential-related source omitted]

optional-skills/health/fitness-nutrition/references/FORMULAS.md

  • Network accessline 99
    - wger: https://wger.de/api/v2/ — AGPL-3.0, exercise data is CC-BY-SA 3.0
  • Network accessline 100
    - USDA FoodData Central: https://api.nal.usda.gov/fdc/v1/ — public domain (CC0 1.0)

optional-skills/health/fitness-nutrition/scripts/body_calc.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/health/fitness-nutrition/scripts/nutrition_search.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 10
    [Credential-related source omitted]
  • Network accessline 20
    [Credential-related source omitted]
  • Access to secretsline 20
    [Credential-related source omitted]
  • Network accessline 21
    BASE = "https://api.nal.usda.gov/fdc/v1"
  • Access to secretsline 27
    [Credential-related source omitted]
  • Network accessline 30
    )     try:         req = urllib.request.Request(url, headers={"Accept": "application/json"})
  • Network accessline 31
    try:         req = urllib.request.Request(url, headers={"Accept": "application/json"})         with urllib.request.urlopen(req, timeout=15) as r:
  • Network accessline 32
    req = urllib.request.Request(url, headers={"Accept": "application/json"})
  • Network accessline 33
    with urllib.request.urlopen(req, timeout=15) as r:
  • Network accessline 79
    [Credential-related source omitted]
  • Access to secretsline 79
    [Credential-related source omitted]
  • Access to secretsline 80
    [Credential-related source omitted]
  • Network accessline 81
    print("Free signup: https://fdc.nal.usda.gov/api-key-signup/")

optional-skills/health/neuroskill-bci/SKILL.md

  • Network accessline 17
    Connect Hermes to a running [NeuroSkill](https://neuroskill.com/) instance to read
  • Network accessline 451
    - [NeuroSkill Paper — arXiv:2603.03212](https://arxiv.org/abs/2603.03212) (Kosmyna & Hauptmann, MIT Media Lab)
  • Network accessline 452
    - [NeuroSkill Desktop App](https://github.com/NeuroSkill-com/skill) (GPLv3)
  • Network accessline 453
    - [NeuroLoop CLI Companion](https://github.com/NeuroSkill-com/neuroloop) (GPLv3)
  • Network accessline 454
    - [MIT Media Lab Project](https://www.media.mit.edu/projects/neuroskill/overview/)

optional-skills/health/neuroskill-bci/references/api.md

  • Network accessline 27
    # POST / — accepts any command as JSON curl -s -X POST http://127.0.0.1:8375/ \
  • Network accessline 28
    curl -s -X POST http://127.0.0.1:8375/ \

optional-skills/mcp/fastmcp/SKILL.md

  • Network accessline 9
    hermes:     tags: [MCP, FastMCP, Python, Tools, Resources, Prompts, Deployment]     homepage: https://gofastmcp.com
  • Network accessline 10
    tags: [MCP, FastMCP, Python, Tools, Resources, Prompts, Deployment]     homepage: https://gofastmcp.com     related_skills: [hermes-agent, mcporter]
  • Network accessline 11
    homepage: https://gofastmcp.com
  • Network accessline 154
    fastmcp run acme_server.py:mcp --transport http --host 127.0.0.1 --port 8000 fastmcp list http://127.0.0.1:8000/mcp --json
  • Network accessline 155
    fastmcp list http://127.0.0.1:8000/mcp --json
  • Network accessline 156
    fastmcp call http://127.0.0.1:8000/mcp search_resources query=router --json

optional-skills/mcp/fastmcp/references/fastmcp-cli.md

  • Network accessline 49
    fastmcp list http://127.0.0.1:8000/mcp --json

optional-skills/mcp/fastmcp/scripts/scaffold_fastmcp.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/mcp/fastmcp/templates/api_wrapper.py

  • Executable scriptline 1
    Executable file
  • Network accessline 12
    API_BASE_URL = os.getenv("API_BASE_URL", "https://api.example.com")
  • Access to secretsline 13
    [Credential-related source omitted]
  • Network accessline 24
    def _request(method: str, path: str, *, params: dict[str, Any] | None = None) -> Any:     url = f"{API_BASE_URL.rstrip('/')}/{path.lstrip('/')}"     with httpx.Client(timeout=REQUEST_TIMEOUT, headers=_headers()) as client:
  • Network accessline 25
    url = f"{API_BASE_URL.rstrip('/')}/{path.lstrip('/')}"     with httpx.Client(timeout=REQUEST_TIMEOUT, headers=_headers()) as client:         response = client.request(method, url, params=params)
  • Network accessline 26
    with httpx.Client(timeout=REQUEST_TIMEOUT, headers=_headers()) as client:

optional-skills/mcp/fastmcp/templates/database_server.py

  • Executable scriptline 1
    Executable file

optional-skills/mcp/fastmcp/templates/file_processor.py

  • Executable scriptline 1
    Executable file

optional-skills/mcp/mcp-oauth-remote-gateway/SKILL.md

  • Network accessline 46
    1. Picks a free local port `P`. 2. Registers a dynamic OAuth client with the AS, sending `redirect_uri = http://127.0.0.1:P/callback`.
  • Network accessline 47
    2. Registers a dynamic OAuth client with the AS, sending `redirect_uri = http://127.0.0.1:P/callback`.
  • Network accessline 51
    When Hermes runs remotely, the `127.0.0.1` in the `redirect_uri` is the remote container's loopback, not the user's. After authorizing, the user's browser 302s to `http://127.0.0.1:P/callback?code=...`, which resolves to the user's own
  • Network accessline 52
    container's loopback, not the user's. After authorizing, the user's browser 302s to `http://127.0.0.1:P/callback?code=...`, which resolves to the user's own laptop and fails to connect. The callback never reaches the Hermes process, the
  • Network accessline 53
    to `http://127.0.0.1:P/callback?code=...`, which resolves to the user's own
  • Network accessline 82
    `ps aux | grep 'hermes dashboard'`). It exposes a connector/MCP console — endpoints like `/api/mcp/servers`, `/api/mcp/status`, and `/connectors` (all login-gated; a cookieless curl returning 401/302 confirms they exist).
  • Network accessline 84
    login-gated; a cookieless curl returning 401/302 confirms they exist).
  • Network accessline 106
    `RAILWAY_PUBLIC_DOMAIN` / `RAILWAY_STATIC_URL` (the `*.up.railway.app` host) and `RAILWAY_SERVICE_*_URL` vars, which sometimes carry a friendlier custom domain. Hand the user the full `https://` URL and point them at the Connectors/MCP
  • Network accessline 107
    `RAILWAY_SERVICE_*_URL` vars, which sometimes carry a friendlier custom domain. Hand the user the full `https://` URL and point them at the Connectors/MCP section. ALWAYS pipe through the `sed` redaction above — these env greps sit next
  • Network accessline 108
    Hand the user the full `https://` URL and point them at the Connectors/MCP
  • Network accessline 153
    curl -sI https://mcp.example.com | grep -i www-authenticate
  • Network accessline 154
    # → Bearer realm="mcp", resource_metadata="https://mcp.example.com/.well-known/oauth-protected-resource"
  • Network accessline 165
    /.well-known/openid-configuration ; do   echo "=== $p ==="   curl -s -A "python-httpx/0.27" "https://mcp.example.com$p" | head -c 400; echo
  • Network accessline 166
    echo "=== $p ==="   curl -s -A "python-httpx/0.27" "https://mcp.example.com$p" | head -c 400; echo done
  • Network accessline 167
    curl -s -A "python-httpx/0.27" "https://mcp.example.com$p" | head -c 400; echo
  • Network accessline 183
    {   "client_name": "Hermes Agent (manual OAuth)",   "redirect_uris": ["http://127.0.0.1:8765/callback"],
  • Network accessline 184
    "client_name": "Hermes Agent (manual OAuth)",   "redirect_uris": ["http://127.0.0.1:8765/callback"],   "grant_types": ["authorization_code", "refresh_token"],
  • Network accessline 185
    "redirect_uris": ["http://127.0.0.1:8765/callback"],
  • Network accessline 223
    After approving, your browser will try to load http://127.0.0.1:8765/callback
  • Access to secretsline 241
    [Credential-related source omitted]
  • Access to secretsline 251
    [Credential-related source omitted]
  • Network accessline 261
    {   "client_id": "...",   "redirect_uris": ["http://127.0.0.1:8765/callback"],
  • Network accessline 262
    "client_id": "...",   "redirect_uris": ["http://127.0.0.1:8765/callback"],   "grant_types": ["authorization_code", "refresh_token"],
  • Network accessline 263
    "redirect_uris": ["http://127.0.0.1:8765/callback"],
  • Network accessline 279
    mcp_servers:   <name>:     url: "https://mcp.example.com"
  • Network accessline 280
    <name>:     url: "https://mcp.example.com"     auth: oauth
  • Network accessline 281
    url: "https://mcp.example.com"
  • Access to secretsline 303
    [Credential-related source omitted]
  • Network accessline 331
    5. **Trailing slash matters.** Some servers advertise the resource as `https://mcp.example.com/` with a trailing slash and reject tokens issued against the no-slash variant. Copy the `resource` value verbatim from the `.well-known/oauth-pro
  • Access to secretsline 337
    [Credential-related source omitted]
  • Access to secretsline 339
    [Credential-related source omitted]
  • Access to secretsline 341
    [Credential-related source omitted]
  • Access to secretsline 351
    [Credential-related source omitted]
  • Access to secretsline 353
    [Credential-related source omitted]
  • Network accessline 355
    [Credential-related source omitted]
  • Access to secretsline 355
    [Credential-related source omitted]
  • Access to secretsline 365
    [Credential-related source omitted]

optional-skills/mcp/mcp-oauth-remote-gateway/references/stripe-mcp-oauth-revocation.md

  • Network accessline 22
    ## Why the three usual hypotheses are all wrong Per Stripe's OAuth docs (https://docs.stripe.com/stripe-apps/api-authentication/oauth):
  • Network accessline 23
    Per Stripe's OAuth docs (https://docs.stripe.com/stripe-apps/api-authentication/oauth):
  • Network accessline 34
    ## The durable fix: drop OAuth, use a restricted API key as a Bearer token Stripe's MCP docs (https://docs.stripe.com/mcp) are explicit that for
  • Network accessline 35
    Stripe's MCP docs (https://docs.stripe.com/mcp) are explicit that for
  • Network accessline 43
    mcp_servers:   stripe:     url: https://mcp.stripe.com
  • Network accessline 44
    stripe:     url: https://mcp.stripe.com     headers:
  • Network accessline 45
    url: https://mcp.stripe.com

optional-skills/mcp/mcp-oauth-remote-gateway/scripts/diagnose-oauth-mcp.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 5
    [Credential-related source omitted]
  • Access to secretsline 39
    [Credential-related source omitted]
  • Network accessline 49
    else:         body = json.dumps(data).encode() if data is not None else None     req = urllib.request.Request(url, data=body, method="POST")
  • Network accessline 50
    body = json.dumps(data).encode() if data is not None else None     req = urllib.request.Request(url, data=body, method="POST")     for k, v in (headers or {}).items():
  • Network accessline 51
    req = urllib.request.Request(url, data=body, method="POST")
  • Network accessline 54
    req.add_header("User-Agent", UA)     try:         r = urllib.request.urlopen(req, timeout=timeout)
  • Network accessline 55
    try:         r = urllib.request.urlopen(req, timeout=timeout)         return r.status, dict(r.headers), r.read()
  • Network accessline 56
    r = urllib.request.urlopen(req, timeout=timeout)
  • Network accessline 62
    def _get_json(url, timeout=20):     req = urllib.request.Request(url, headers={"User-Agent": UA})
  • Network accessline 63
    req = urllib.request.Request(url, headers={"User-Agent": UA})
  • Network accessline 64
    return json.loads(urllib.request.urlopen(req, timeout=timeout).read())
  • Access to secretsline 67
    [Credential-related source omitted]
  • Access to secretsline 76
    [Credential-related source omitted]
  • Access to secretsline 113
    [Credential-related source omitted]
  • Access to secretsline 145
    [Credential-related source omitted]
  • Access to secretsline 155
    [Credential-related source omitted]

optional-skills/mcp/mcporter/SKILL.md

  • Network accessline 9
    hermes:     tags: [MCP, Tools, API, Integrations, Interop]     homepage: https://mcporter.dev
  • Network accessline 10
    tags: [MCP, Tools, API, Integrations, Interop]     homepage: https://mcporter.dev prerequisites:
  • Network accessline 11
    homepage: https://mcporter.dev
  • Network accessline 18
    Use `mcporter` to discover, call, and manage [MCP (Model Context Protocol)](https://modelcontextprotocol.io/) servers and tools directly from the terminal.
  • Network accessline 46
    mcporter auto-discovers servers configured by other MCP clients (Claude Desktop, Cursor, etc.) on the machine. To find new servers to use, browse registries like [mcpfinder.dev](https://mcpfinder.dev) or [mcp.so](https://mcp.so), then conne
  • Network accessline 49
    # Connect to any MCP server by URL (no config needed) mcporter list --http-url https://some-mcp-server.com --name my_server
  • Network accessline 50
    mcporter list --http-url https://some-mcp-server.com --name my_server
  • Network accessline 65
    # Ad-hoc HTTP server (no config needed) mcporter call https://api.example.com/mcp.fetch url=https://example.com
  • Network accessline 66
    mcporter call https://api.example.com/mcp.fetch url=https://example.com
  • Network accessline 68
    # Ad-hoc stdio server mcporter call --stdio "bun run ./server.ts" scrape url=https://example.com
  • Network accessline 69
    mcporter call --stdio "bun run ./server.ts" scrape url=https://example.com

optional-skills/media/gif-search/SKILL.md

  • Network accessline 1
    --- name: gif-search description: "Search/download GIFs from Tenor via curl + jq."
  • Network accessline 2
    name: gif-search description: "Search/download GIFs from Tenor via curl + jq." version: 1.1.0
  • Network accessline 3
    description: "Search/download GIFs from Tenor via curl + jq."
  • Access to secretsline 9
    [Credential-related source omitted]
  • Access to secretsline 29
    [Credential-related source omitted]
  • Network accessline 32
    Get a free API key at https://developers.google.com/tenor/guides/quickstart — the Google Cloud Console Tenor API key is free and has generous rate limits.
  • Access to secretsline 37
    [Credential-related source omitted]
  • Network accessline 42
    # Search and get GIF URLs curl -s "https://tenor.googleapis.com/v2/search?q=thumbs+up&limit=5&key=${TENOR_API_KEY}" | jq -r '.results[].media_formats.gif.url'
  • Network accessline 43
    [Credential-related source omitted]
  • Access to secretsline 43
    [Credential-related source omitted]
  • Network accessline 45
    # Get smaller/preview versions curl -s "https://tenor.googleapis.com/v2/search?q=nice+work&limit=3&key=${TENOR_API_KEY}" | jq -r '.results[].media_formats.tinygif.url'
  • Network accessline 46
    [Credential-related source omitted]
  • Access to secretsline 46
    [Credential-related source omitted]
  • Network accessline 52
    # Search and download the top result URL=$(curl -s "https://tenor.googleapis.com/v2/search?q=celebration&limit=1&key=${TENOR_API_KEY}" | jq -r '.results[0].media_formats.gif.url')
  • Network accessline 53
    [Credential-related source omitted]
  • Access to secretsline 53
    [Credential-related source omitted]
  • Network accessline 54
    curl -sL "$URL" -o celebration.gif
  • Network accessline 60
    [Credential-related source omitted]
  • Access to secretsline 60
    [Credential-related source omitted]
  • Access to secretsline 69
    [Credential-related source omitted]

optional-skills/media/songsee/SKILL.md

  • Network accessline 9
    hermes:     tags: [Audio, Visualization, Spectrogram, Music, Analysis]     homepage: https://github.com/steipete/songsee
  • Network accessline 10
    tags: [Audio, Visualization, Spectrogram, Music, Analysis]     homepage: https://github.com/steipete/songsee prerequisites:
  • Network accessline 11
    homepage: https://github.com/steipete/songsee
  • Network accessline 22
    Requires [Go](https://go.dev/doc/install):

optional-skills/mlops/accelerate/SKILL.md

  • Network accessline 344
    - Docs: https://huggingface.co/docs/accelerate
  • Network accessline 345
    - GitHub: https://github.com/huggingface/accelerate
  • Network accessline 346
    - Version: 1.11.0+ - Tutorial: "Accelerate your scripts" - Examples: https://github.com/huggingface/accelerate/tree/main/examples
  • Network accessline 347
    - Tutorial: "Accelerate your scripts" - Examples: https://github.com/huggingface/accelerate/tree/main/examples - Used by: HuggingFace Transformers, TRL, PEFT, all HF libraries
  • Network accessline 348
    - Examples: https://github.com/huggingface/accelerate/tree/main/examples

optional-skills/mlops/accelerate/references/custom-plugins.md

  • Network accessline 450
    - Accelerate Plugins: https://huggingface.co/docs/accelerate/package_reference/kwargs
  • Network accessline 451
    - DeepSpeed Config: https://www.deepspeed.ai/docs/config-json/
  • Network accessline 452
    - FSDP Guide: https://pytorch.org/docs/stable/fsdp.html
  • Network accessline 453
    - Custom Training Loops: https://huggingface.co/docs/accelerate/usage_guides/training_tpu

optional-skills/mlops/accelerate/references/megatron-integration.md

  • Network accessline 18
    # Clone Megatron-LM repository git clone https://github.com/NVIDIA/Megatron-LM.git
  • Network accessline 19
    git clone https://github.com/NVIDIA/Megatron-LM.git
  • Network accessline 23
    # Install Apex (NVIDIA optimizations) git clone https://github.com/NVIDIA/apex
  • Network accessline 24
    git clone https://github.com/NVIDIA/apex
  • Network accessline 486
    - Megatron-LM: https://github.com/NVIDIA/Megatron-LM
  • Network accessline 487
    - Accelerate Megatron docs: https://huggingface.co/docs/accelerate/usage_guides/megatron_lm
  • Network accessline 489
    - NVIDIA Apex: https://github.com/NVIDIA/apex

optional-skills/mlops/accelerate/references/performance.md

  • Access to secretsline 303
    [Credential-related source omitted]
  • Network accessline 522
    - Accelerate Performance: https://huggingface.co/docs/accelerate/usage_guides/performance
  • Network accessline 523
    - PyTorch Profiler: https://pytorch.org/tutorials/recipes/recipes/profiler_recipe.html
  • Network accessline 524
    - NCCL Tuning: https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/env.html
  • Network accessline 525
    - Flash Attention: https://github.com/Dao-AILab/flash-attention

optional-skills/mlops/chroma/SKILL.md

  • Access to secretsline 92
    [Credential-related source omitted]
  • Access to secretsline 236
    [Credential-related source omitted]
  • Access to secretsline 250
    [Credential-related source omitted]
  • Network accessline 404
    - **GitHub**: https://github.com/chroma-core/chroma ⭐ 24,300+
  • Network accessline 405
    - **Docs**: https://docs.trychroma.com
  • Network accessline 406
    - **Discord**: https://discord.gg/MMeYNTmh3x

optional-skills/mlops/chroma/references/integration.md

  • Network accessline 38
    - **Docs**: https://docs.trychroma.com

optional-skills/mlops/evaluation/evaluating-llms-harness/SKILL.md

  • Dangerous shell operationline 193
    Avoid for frequent eval (too slow):
  • Network accessline 493
    - GitHub: https://github.com/EleutherAI/lm-evaluation-harness
  • Network accessline 494
    - Docs: https://github.com/EleutherAI/lm-evaluation-harness/tree/main/docs
  • Network accessline 496
    - Leaderboard: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard (uses this harness)

optional-skills/mlops/evaluation/evaluating-llms-harness/references/api-evaluation.md

  • Access to secretsline 36
    [Credential-related source omitted]
  • Network accessline 77
    lm_eval --model openai-chat-completions    --model_args      model=gpt-4-turbo,     base_url=https://api.openai.com/v1,
  • Network accessline 80
    base_url=https://api.openai.com/v1,\
  • Access to secretsline 121
    [Credential-related source omitted]
  • Network accessline 150
    lm_eval --model anthropic-chat    --model_args      model=claude-3-5-sonnet-20241022,     base_url=https://api.anthropic.com,
  • Network accessline 153
    base_url=https://api.anthropic.com,\
  • Network accessline 196
    lm_eval --model local-completions    --model_args      model=meta-llama/Llama-2-7b-hf,     base_url=http://localhost:8000/v1,
  • Network accessline 199
    base_url=http://localhost:8000/v1,\
  • Network accessline 216
    lm_eval --model local-completions    --model_args      model=meta-llama/Llama-2-7b-hf,     base_url=http://localhost:8080/v1
  • Network accessline 219
    base_url=http://localhost:8080/v1 \
  • Network accessline 233
    lm_eval --model local-completions    --model_args      model=llama2:7b,     base_url=http://localhost:11434/v1
  • Network accessline 236
    base_url=http://localhost:11434/v1 \
  • Network accessline 249
    lm_eval --model local-completions    --model_args      model=llama2,     base_url=http://localhost:8080/v1
  • Network accessline 252
    base_url=http://localhost:8080/v1 \
  • Access to secretsline 269
    [Credential-related source omitted]
  • Access to secretsline 271
    [Credential-related source omitted]
  • Access to secretsline 277
    [Credential-related source omitted]
  • Network accessline 300
    model = MyCustomAPI(     base_url="https://api.example.com/v1",
  • Network accessline 301
    base_url="https://api.example.com/v1",
  • Access to secretsline 302
    [Credential-related source omitted]
  • Access to secretsline 417
    [Credential-related source omitted]
  • Access to secretsline 418
    [Credential-related source omitted]
  • Network accessline 441
    curl http://localhost:8000/v1/models
  • Network accessline 459
    lm_eval --model local-completions    --model_args      base_url=http://api.example.com/v1,
  • Network accessline 461
    base_url=http://api.example.com/v1,\
  • Network accessline 468
    lm_eval --model local-completions    --model_args      base_url=https://localhost:8000/v1,
  • Network accessline 470
    base_url=https://localhost:8000/v1,\
  • Network accessline 486
    - OpenAI API: https://platform.openai.com/docs/api-reference
  • Network accessline 487
    - Anthropic API: https://docs.anthropic.com/claude/reference

optional-skills/mlops/evaluation/evaluating-llms-harness/references/distributed-eval.md

  • Network accessline 516
    - HuggingFace Accelerate: https://huggingface.co/docs/accelerate/
  • Network accessline 517
    - vLLM docs: https://docs.vllm.ai/
  • Network accessline 518
    - NeMo docs: https://docs.nvidia.com/nemo-framework/

optional-skills/mlops/faiss/SKILL.md

  • Network accessline 221
    - **GitHub**: https://github.com/facebookresearch/faiss ⭐ 31,700+
  • Network accessline 222
    - **Wiki**: https://github.com/facebookresearch/faiss/wiki

optional-skills/mlops/faiss/references/index_types.md

  • Network accessline 279
    - **Wiki**: https://github.com/facebookresearch/faiss/wiki
  • Network accessline 280
    - **Paper**: https://arxiv.org/abs/1702.08734

optional-skills/mlops/flash-attention/SKILL.md

  • Network accessline 260
    git clone https://github.com/Dao-AILab/flash-attention.git
  • Network accessline 367
    - Paper: "FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness" (NeurIPS 2022) - Paper: "FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning" (ICLR 2024) - Blog: https://tridao.me/blog/202
  • Network accessline 368
    - Paper: "FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning" (ICLR 2024) - Blog: https://tridao.me/blog/2024/flash3/ - GitHub: https://github.com/Dao-AILab/flash-attention
  • Network accessline 369
    - Blog: https://tridao.me/blog/2024/flash3/
  • Network accessline 370
    - GitHub: https://github.com/Dao-AILab/flash-attention
  • Network accessline 371
    - PyTorch docs: https://pytorch.org/docs/stable/generated/torch.nn.functional.scaled_dot_product_attention.html

optional-skills/mlops/inference/llama-cpp/SKILL.md

  • Network accessline 31
    1. Search for candidate repos on the Hub:    - Base: `https://huggingface.co/models?apps=llama.cpp&sort=trending`
  • Network accessline 32
    - Base: `https://huggingface.co/models?apps=llama.cpp&sort=trending`
  • Network accessline 34
    - Add `num_parameters=min:0,max:24B` or similar when the user has size constraints 2. Open the repo with the llama.cpp local-app view:    - `https://huggingface.co/<repo>?local-app=llama.cpp`
  • Network accessline 35
    2. Open the repo with the llama.cpp local-app view:    - `https://huggingface.co/<repo>?local-app=llama.cpp` 3. Treat the local-app snippet as the source of truth when it is visible:
  • Network accessline 36
    - `https://huggingface.co/<repo>?local-app=llama.cpp`
  • Network accessline 43
    - if that section is not visible in the fetched page source, say so and fall back to the tree API plus generic quant guidance 5. Query the tree API to confirm what actually exists:    - `https://huggingface.co/api/models/<repo>/tree/main?re
  • Network accessline 44
    5. Query the tree API to confirm what actually exists:    - `https://huggingface.co/api/models/<repo>/tree/main?recursive=true`    - keep entries where `type` is `file` and `path` ends with `.gguf`
  • Network accessline 45
    - `https://huggingface.co/api/models/<repo>/tree/main?recursive=true`
  • Network accessline 47
    - use `path` and `size` as the source of truth for filenames and byte sizes    - separate quantized checkpoints from `mmproj-*.gguf` projector files and `BF16/` shard files    - use `https://huggingface.co/<repo>/tree/main` only as a human 
  • Network accessline 48
    - separate quantized checkpoints from `mmproj-*.gguf` projector files and `BF16/` shard files    - use `https://huggingface.co/<repo>/tree/main` only as a human fallback 6. If the local-app snippet is not text-visible, reconstruct the comma
  • Network accessline 49
    - use `https://huggingface.co/<repo>/tree/main` only as a human fallback
  • Network accessline 69
    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 99
    curl http://localhost:8080/v1/chat/completions \
  • Network accessline 198
    - `https://huggingface.co/api/models/<repo>/tree/main?recursive=true`
  • Network accessline 207
    https://huggingface.co/models?apps=llama.cpp&sort=trending
  • Network accessline 208
    https://huggingface.co/models?search=<term>&apps=llama.cpp&sort=trending
  • Network accessline 209
    https://huggingface.co/models?search=<term>&apps=llama.cpp&num_parameters=min:0,max:24B&sort=trending
  • Network accessline 210
    https://huggingface.co/<repo>?local-app=llama.cpp
  • Network accessline 211
    https://huggingface.co/api/models/<repo>/tree/main?recursive=true
  • Network accessline 212
    https://huggingface.co/<repo>/tree/main
  • Network accessline 242
    - **GitHub**: https://github.com/ggml-org/llama.cpp
  • Network accessline 243
    - **Hugging Face GGUF + llama.cpp docs**: https://huggingface.co/docs/hub/gguf-llamacpp
  • Network accessline 244
    - **Hugging Face Local Apps docs**: https://huggingface.co/docs/hub/main/local-apps
  • Network accessline 245
    - **Hugging Face Local Agents docs**: https://huggingface.co/docs/hub/agents-local
  • Network accessline 246
    - **Example local-app page**: https://huggingface.co/unsloth/Qwen3.6-35B-A3B-GGUF?local-app=llama.cpp
  • Network accessline 247
    - **Example tree API**: https://huggingface.co/api/models/unsloth/Qwen3.6-35B-A3B-GGUF/tree/main?recursive=true
  • Network accessline 248
    - **Example llama.cpp search**: https://huggingface.co/models?num_parameters=min:0,max:24B&apps=llama.cpp&sort=trending

optional-skills/mlops/inference/llama-cpp/references/advanced-usage.md

  • Access to secretsline 470
    [Credential-related source omitted]

optional-skills/mlops/inference/llama-cpp/references/hub-discovery.md

  • Network accessline 8
    Search: https://huggingface.co/models?apps=llama.cpp&sort=trending
  • Network accessline 9
    https://huggingface.co/models?apps=llama.cpp&sort=trending
  • Network accessline 11
    Search with text: https://huggingface.co/models?search=<term>&apps=llama.cpp&sort=trending
  • Network accessline 12
    https://huggingface.co/models?search=<term>&apps=llama.cpp&sort=trending
  • Network accessline 14
    Search with size bounds: https://huggingface.co/models?search=<term>&apps=llama.cpp&num_parameters=min:0,max:24B&sort=trending
  • Network accessline 15
    https://huggingface.co/models?search=<term>&apps=llama.cpp&num_parameters=min:0,max:24B&sort=trending
  • Network accessline 17
    Repo local-app view: https://huggingface.co/<repo>?local-app=llama.cpp
  • Network accessline 18
    https://huggingface.co/<repo>?local-app=llama.cpp
  • Network accessline 20
    Repo tree API: https://huggingface.co/api/models/<repo>/tree/main?recursive=true
  • Network accessline 21
    https://huggingface.co/api/models/<repo>/tree/main?recursive=true
  • Network accessline 23
    Repo file tree: https://huggingface.co/<repo>/tree/main
  • Network accessline 24
    https://huggingface.co/<repo>/tree/main
  • Network accessline 39
    Example: https://huggingface.co/models?search=Qwen&apps=llama.cpp&num_parameters=min:0,max:24B&sort=trending
  • Network accessline 46
    https://huggingface.co/<repo>?local-app=llama.cpp
  • Network accessline 67
    https://huggingface.co/api/models/<repo>/tree/main?recursive=true
  • Network accessline 95
    Use `https://huggingface.co/<repo>/tree/main` only as a human fallback if the API endpoint fails or the user wants the web view.
  • Network accessline 127
    https://huggingface.co/unsloth/Qwen3.6-35B-A3B-GGUF?local-app=llama.cpp
  • Network accessline 128
    https://huggingface.co/api/models/unsloth/Qwen3.6-35B-A3B-GGUF/tree/main?recursive=true
  • Network accessline 129
    https://huggingface.co/unsloth/Qwen3.6-35B-A3B-GGUF/tree/main

optional-skills/mlops/inference/llama-cpp/references/quantization.md

  • Network accessline 10
    https://huggingface.co/<repo>?local-app=llama.cpp
  • Network accessline 16
    https://huggingface.co/api/models/<repo>/tree/main?recursive=true
  • Network accessline 174
    https://huggingface.co/models?apps=llama.cpp&sort=trending
  • Network accessline 175
    https://huggingface.co/models?search=<term>&apps=llama.cpp&sort=trending
  • Network accessline 176
    https://huggingface.co/models?search=<term>&apps=llama.cpp&num_parameters=min:0,max:24B&sort=trending
  • Network accessline 182
    https://huggingface.co/<repo>?local-app=llama.cpp
  • Network accessline 183
    https://huggingface.co/api/models/<repo>/tree/main?recursive=true

optional-skills/mlops/inference/llama-cpp/references/server.md

  • Network accessline 10
    https://huggingface.co/<repo>?local-app=llama.cpp
  • Network accessline 52
    curl http://localhost:8080/v1/chat/completions \
  • Network accessline 67
    curl http://localhost:8080/v1/chat/completions \
  • Network accessline 80
    FROM ubuntu:22.04 RUN apt-get update && apt-get install -y git build-essential RUN git clone https://github.com/ggerganov/llama.cpp
  • Network accessline 81
    RUN apt-get update && apt-get install -y git build-essential RUN git clone https://github.com/ggerganov/llama.cpp WORKDIR /llama.cpp
  • Network accessline 82
    RUN git clone https://github.com/ggerganov/llama.cpp
  • Network accessline 98
    # Server metrics endpoint curl http://localhost:8080/metrics
  • Network accessline 99
    curl http://localhost:8080/metrics
  • Network accessline 101
    # Health check curl http://localhost:8080/health
  • Network accessline 102
    curl http://localhost:8080/health
  • Network accessline 121
    server {     location / {         proxy_pass http://llama_cpp;
  • Network accessline 122
    location / {         proxy_pass http://llama_cpp;         proxy_read_timeout 300s;
  • Network accessline 123
    proxy_pass http://llama_cpp;

optional-skills/mlops/inference/llama-cpp/references/troubleshooting.md

  • Dangerous shell operationline 22
    sudo apt install nvidia-cuda-toolkit
  • Network accessline 335
    # Use correct base URL format client = OpenAI(     base_url="http://localhost:8080/v1",  # Include /v1
  • Network accessline 336
    [Credential-related source omitted]
  • Network accessline 337
    base_url="http://localhost:8080/v1",  # Include /v1
  • Access to secretsline 338
    [Credential-related source omitted]
  • Network accessline 429
    1. **GitHub Issues**: https://github.com/ggml-org/llama.cpp/issues
  • Network accessline 430
    2. **Discussions**: https://github.com/ggml-org/llama.cpp/discussions

optional-skills/mlops/inference/serving-llms-vllm/SKILL.md

  • Network accessline 46
    [Credential-related source omitted]
  • Network accessline 47
    [Credential-related source omitted]
  • Network accessline 48
    [Credential-related source omitted]
  • Access to secretsline 48
    [Credential-related source omitted]
  • Network accessline 106
    # Create test_load.py with sample requests # Run: locust -f test_load.py --host http://localhost:8000
  • Network accessline 107
    # Run: locust -f test_load.py --host http://localhost:8000
  • Network accessline 117
    curl http://localhost:8000/metrics | grep vllm
  • Network accessline 367
    - Official docs: https://docs.vllm.ai
  • Network accessline 368
    - GitHub: https://github.com/vllm-project/vllm
  • Network accessline 370
    - Community: https://discuss.vllm.ai

optional-skills/mlops/inference/serving-llms-vllm/references/optimization.md

  • Network accessline 97
    curl http://localhost:9090/metrics | grep cache_hit

optional-skills/mlops/inference/serving-llms-vllm/references/quantization.md

  • Network accessline 60
    [Credential-related source omitted]
  • Access to secretsline 60
    [Credential-related source omitted]

optional-skills/mlops/inference/serving-llms-vllm/references/server-deployment.md

  • Network accessline 133
    location / {         proxy_pass http://vllm_backend;
  • Network accessline 134
    proxy_pass http://vllm_backend;
  • Network accessline 143
    # Metrics endpoint     location /metrics {         proxy_pass http://localhost:9090/metrics;
  • Network accessline 144
    location /metrics {         proxy_pass http://localhost:9090/metrics;     }
  • Network accessline 145
    proxy_pass http://localhost:9090/metrics;
  • Network accessline 225
    curl http://localhost:8000/health
  • Network accessline 231
    #!/usr/bin/env bash until curl -f http://localhost:8000/health; do
  • Network accessline 232
    until curl -f http://localhost:8000/health; do

optional-skills/mlops/inference/serving-llms-vllm/references/troubleshooting.md

  • Network accessline 207
    curl http://localhost:8000/health
  • Dangerous shell operationline 222
    sudo ufw allow 8000
  • Network accessline 233
    client = OpenAI(     base_url="http://localhost:8000/v1",
  • Network accessline 234
    base_url="http://localhost:8000/v1",
  • Access to secretsline 235
    [Credential-related source omitted]
  • Network accessline 251
    session = requests.Session()
  • Network accessline 310
    # From node 1 to node 2 ping NODE2_IP nc -zv NODE2_IP 29500  # Check port accessibility
  • Network accessline 312
    nc -zv NODE2_IP 29500  # Check port accessibility
  • Network accessline 376
    # Prometheus metrics curl http://localhost:9090/metrics
  • Network accessline 377
    curl http://localhost:9090/metrics
  • Network accessline 379
    # Filter for specific metrics curl http://localhost:9090/metrics | grep vllm_time_to_first_token
  • Network accessline 380
    curl http://localhost:9090/metrics | grep vllm_time_to_first_token
  • Network accessline 393
    # Health check curl http://localhost:8000/health
  • Network accessline 394
    curl http://localhost:8000/health
  • Network accessline 396
    # Model info curl http://localhost:8000/v1/models
  • Network accessline 397
    curl http://localhost:8000/v1/models
  • Network accessline 399
    # Test completion curl http://localhost:8000/v1/completions \
  • Network accessline 400
    curl http://localhost:8000/v1/completions \

optional-skills/mlops/lambda-labs/SKILL.md

  • Network accessline 47
    1. Create account at https://lambda.ai
  • Network accessline 54
    1. Go to https://cloud.lambda.ai/instances
  • Access to secretsline 68
    [Credential-related source omitted]
  • Network accessline 145
    # Configure with API key configuration = lambda_cloud_client.Configuration(     host="https://cloud.lambdalabs.com/api/v1",
  • Network accessline 146
    [Credential-related source omitted]
  • Network accessline 147
    host="https://cloud.lambdalabs.com/api/v1",
  • Access to secretsline 148
    [Credential-related source omitted]
  • Network accessline 225
    [Credential-related source omitted]
  • Access to secretsline 225
    [Credential-related source omitted]
  • Network accessline 226
    https://cloud.lambdalabs.com/api/v1/instance-types | jq
  • Network accessline 232
    [Credential-related source omitted]
  • Access to secretsline 232
    [Credential-related source omitted]
  • Network accessline 233
    -X POST https://cloud.lambdalabs.com/api/v1/instance-operations/launch \
  • Network accessline 245
    [Credential-related source omitted]
  • Access to secretsline 245
    [Credential-related source omitted]
  • Network accessline 246
    -X POST https://cloud.lambdalabs.com/api/v1/instance-operations/terminate \
  • Access to secretsline 299
    [Credential-related source omitted]
  • Access to secretsline 309
    [Credential-related source omitted]
  • Network accessline 346
    # From local machine with tunnel ssh -L 8888:localhost:8888 ubuntu@<IP> # Open http://localhost:8888
  • Network accessline 348
    # Open http://localhost:8888
  • Network accessline 359
    # Clone repo git clone https://github.com/user/project
  • Network accessline 360
    git clone https://github.com/user/project
  • Network accessline 545
    - **Documentation**: https://docs.lambda.ai
  • Network accessline 546
    - **Console**: https://cloud.lambda.ai
  • Network accessline 547
    - **Pricing**: https://lambda.ai/instances
  • Network accessline 548
    - **Support**: https://support.lambdalabs.com
  • Network accessline 549
    - **Blog**: https://lambda.ai/blog

optional-skills/mlops/lambda-labs/references/advanced-usage.md

  • Access to secretsline 16
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 146
    [Credential-related source omitted]
  • Network accessline 147
    host="https://cloud.lambdalabs.com/api/v1",
  • Access to secretsline 148
    [Credential-related source omitted]
  • Access to secretsline 208
    [Credential-related source omitted]
  • Access to secretsline 253
    [Credential-related source omitted]
  • Network accessline 398
    # Install miniconda (if not present) wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
  • Network accessline 399
    wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
  • Network accessline 465
    # Access at http://localhost:6006
  • Access to secretsline 474
    [Credential-related source omitted]
  • Access to secretsline 552
    [Credential-related source omitted]
  • Access to secretsline 554
    [Credential-related source omitted]
  • Access to secretsline 575
    [Credential-related source omitted]
  • Access to secretsline 579
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 603
    [Credential-related source omitted]
  • Access to secretsline 604
    [Credential-related source omitted]
  • Access to secretsline 606
    [Credential-related source omitted]
  • Access to secretsline 607
    [Credential-related source omitted]
  • Access to secretsline 610
    [Credential-related source omitted]

optional-skills/mlops/lambda-labs/references/troubleshooting.md

  • Network accessline 11
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 12
    [Credential-related source omitted]
  • Network accessline 13
    https://cloud.lambdalabs.com/api/v1/instance-types | jq '.data | to_entries[] | select(.value.regions_with_capacity_available | length > 0) | .key'
  • Access to secretsline 47
    [Credential-related source omitted]
  • Network accessline 49
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 50
    [Credential-related source omitted]
  • Network accessline 51
    https://cloud.lambdalabs.com/api/v1/instance-types
  • Network accessline 81
    [Credential-related source omitted]
  • Network accessline 82
    [Credential-related source omitted]
  • Access to secretsline 82
    [Credential-related source omitted]
  • Network accessline 83
    https://cloud.lambdalabs.com/api/v1/instances | jq '.data[].ip'
  • Access to secretsline 93
    [Credential-related source omitted]
  • Access to secretsline 96
    [Credential-related source omitted]
  • Access to secretsline 97
    [Credential-related source omitted]
  • Access to secretsline 103
    [Credential-related source omitted]
  • Dangerous shell operationline 145
    sudo reboot
  • Network accessline 147
    # Reinstall NVIDIA drivers (if needed) wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh -
  • Dangerous shell operationline 148
    wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh -
  • Network accessline 148
    wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh -
  • Dangerous shell operationline 149
    sudo reboot
  • Network accessline 194
    # Lambda Stack should have compatible versions # If mismatch, reinstall Lambda Stack wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh -
  • Network accessline 195
    # If mismatch, reinstall Lambda Stack wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh - sudo reboot
  • Dangerous shell operationline 196
    wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh -
  • Network accessline 196
    wget -nv -O- https://lambdalabs.com/install-lambda-stack.sh | sh -
  • Dangerous shell operationline 197
    sudo reboot
  • Network accessline 199
    # Or install specific PyTorch version pip install torch==2.1.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
  • Network accessline 200
    pip install torch==2.1.0+cu121 -f https://download.pytorch.org/whl/torch_stable.html
  • Access to secretsline 215
    [Credential-related source omitted]
  • Dangerous shell operationline 289
    find /lambda/nfs/storage/checkpoints -mtime +7 -delete
  • Network accessline 306
    # Or use SSH tunneling (recommended) ssh -L 6006:localhost:6006 ubuntu@<IP> # Access at http://localhost:6006
  • Network accessline 308
    # Access at http://localhost:6006
  • Network accessline 366
    # For CUDA packages, match CUDA version pip install torch --index-url https://download.pytorch.org/whl/cu121
  • Network accessline 367
    pip install torch --index-url https://download.pytorch.org/whl/cu121
  • Dangerous shell operationline 380
    sudo apt install python3.11 python3.11-venv python3.11-dev
  • Network accessline 478
    [Credential-related source omitted]
  • Network accessline 479
    [Credential-related source omitted]
  • Access to secretsline 479
    [Credential-related source omitted]
  • Network accessline 480
    https://cloud.lambdalabs.com/api/v1/instances | jq '.data[].id'
  • Network accessline 517
    1. **Documentation**: https://docs.lambda.ai
  • Network accessline 518
    2. **Support**: https://support.lambdalabs.com

optional-skills/mlops/modal/SKILL.md

  • Access to secretsline 241
    [Credential-related source omitted]
  • Network accessline 315
    > **Modal 1.0 autoscaler renames** (see the [migration guide](https://modal.com/docs/guide/modal-1-0-migration)):
  • Network accessline 348
    - **Documentation**: https://modal.com/docs
  • Network accessline 349
    - **Examples**: https://github.com/modal-labs/modal-examples
  • Network accessline 350
    - **Pricing**: https://modal.com/pricing
  • Network accessline 351
    - **Discord**: https://discord.gg/modal

optional-skills/mlops/modal/references/advanced-usage.md

  • Network accessline 87
    image = modal.Image.debian_slim().pip_install(     "git+https://github.com/huggingface/transformers.git@main"
  • Network accessline 88
    "git+https://github.com/huggingface/transformers.git@main"
  • Network accessline 148
    @app.function(allow_concurrent_inputs=10) async def fetch_data(url: str):     async with aiohttp.ClientSession() as session:
  • Network accessline 149
    async def fetch_data(url: str):     async with aiohttp.ClientSession() as session:         return await session.get(url)
  • Network accessline 150
    async with aiohttp.ClientSession() as session:
  • Access to secretsline 431
    [Credential-related source omitted]
  • Network accessline 499
    # Deployed endpoints accessible via HTTPS curl -X POST https://your-workspace--my-app-predict.modal.run \
  • Network accessline 500
    curl -X POST https://your-workspace--my-app-predict.modal.run \

optional-skills/mlops/modal/references/troubleshooting.md

  • Access to secretsline 19
    [Credential-related source omitted]
  • Network accessline 111
    ).pip_install(     "torch",     index_url="https://download.pytorch.org/whl/cu121"  # Match CUDA
  • Network accessline 112
    "torch",     index_url="https://download.pytorch.org/whl/cu121"  # Match CUDA )
  • Network accessline 113
    index_url="https://download.pytorch.org/whl/cu121"  # Match CUDA
  • Access to secretsline 371
    [Credential-related source omitted]
  • Network accessline 482
    1. **Documentation**: https://modal.com/docs
  • Network accessline 483
    2. **Examples**: https://github.com/modal-labs/modal-examples
  • Network accessline 484
    3. **Discord**: https://discord.gg/modal
  • Network accessline 485
    4. **Status**: https://status.modal.com

optional-skills/mlops/models/segment-anything-model/SKILL.md

  • Network accessline 48
    # From GitHub pip install git+https://github.com/facebookresearch/segment-anything.git
  • Network accessline 49
    pip install git+https://github.com/facebookresearch/segment-anything.git
  • Network accessline 61
    # ViT-H (largest, most accurate) - 2.4GB wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth
  • Network accessline 62
    wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth
  • Network accessline 64
    # ViT-L (medium) - 1.2GB wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth
  • Network accessline 65
    wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_l_0b3195.pth
  • Network accessline 67
    # ViT-B (smallest, fastest) - 375MB wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth
  • Network accessline 68
    wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_b_01ec64.pth
  • Network accessline 502
    - **GitHub**: https://github.com/facebookresearch/segment-anything
  • Network accessline 503
    - **Paper**: https://arxiv.org/abs/2304.02643
  • Network accessline 504
    - **Demo**: https://segment-anything.com
  • Network accessline 505
    - **SAM 2 (Video)**: https://github.com/facebookresearch/segment-anything-2
  • Network accessline 506
    - **HuggingFace**: https://huggingface.co/facebook/sam-vit-huge

optional-skills/mlops/models/segment-anything-model/references/advanced-usage.md

  • Network accessline 10
    pip install git+https://github.com/facebookresearch/segment-anything-2.git
  • Network accessline 52
    pip install groundingdino-py pip install git+https://github.com/facebookresearch/segment-anything.git
  • Network accessline 53
    pip install git+https://github.com/facebookresearch/segment-anything.git
  • Network accessline 349
    # MedSAM is a fine-tuned SAM for medical images # https://github.com/bowang-lab/MedSAM
  • Network accessline 350
    # https://github.com/bowang-lab/MedSAM

optional-skills/mlops/models/segment-anything-model/references/troubleshooting.md

  • Network accessline 16
    # Install PyTorch with CUDA pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
  • Network accessline 17
    pip install torch torchvision --index-url https://download.pytorch.org/whl/cu121
  • Network accessline 30
    # Install from GitHub pip install git+https://github.com/facebookresearch/segment-anything.git
  • Network accessline 31
    pip install git+https://github.com/facebookresearch/segment-anything.git
  • Network accessline 33
    # Or clone and install git clone https://github.com/facebookresearch/segment-anything.git
  • Network accessline 34
    git clone https://github.com/facebookresearch/segment-anything.git
  • Network accessline 63
    # Download correct checkpoint wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth
  • Network accessline 64
    wget https://dl.fbaipublicfiles.com/segment_anything/sam_vit_h_4b8939.pth
  • Network accessline 472
    1. **GitHub Issues**: https://github.com/facebookresearch/segment-anything/issues
  • Network accessline 473
    2. **HuggingFace Forums**: https://discuss.huggingface.co
  • Network accessline 474
    3. **Paper**: https://arxiv.org/abs/2304.02643

optional-skills/mlops/nemo-curator/SKILL.md

  • Network accessline 62
    > stage/import surface differs per modality — treat the examples in this skill below as > **conceptual** (0.x-style) and follow the current > [quickstart](https://github.com/NVIDIA-NeMo/Curator/blob/main/tutorials/quickstart.py)
  • Network accessline 63
    > **conceptual** (0.x-style) and follow the current > [quickstart](https://github.com/NVIDIA-NeMo/Curator/blob/main/tutorials/quickstart.py) > and [text guide](https://docs.nvidia.com/nemo/curator/latest/get-started/text) for the
  • Network accessline 64
    > [quickstart](https://github.com/NVIDIA-NeMo/Curator/blob/main/tutorials/quickstart.py)
  • Network accessline 65
    > and [text guide](https://docs.nvidia.com/nemo/curator/latest/get-started/text) for the
  • Network accessline 395
    - **GitHub**: https://github.com/NVIDIA-NeMo/Curator
  • Network accessline 396
    - **Docs**: https://docs.nvidia.com/nemo/curator/latest/

optional-skills/mlops/obliteratus/SKILL.md

  • Network accessline 27
    Walkthrough of OBLITERATUS used by a Hermes agent to abliterate Gemma: https://www.youtube.com/watch?v=8fG9BrNTeHs ("OBLITERATUS: An AI Agent Removed Gemma 4's Safety Guardrails")
  • Network accessline 28
    https://www.youtube.com/watch?v=8fG9BrNTeHs ("OBLITERATUS: An AI Agent Removed Gemma 4's Safety Guardrails")
  • Network accessline 51
    git clone https://github.com/elder-plinius/OBLITERATUS.git

optional-skills/mlops/peft/SKILL.md

  • Network accessline 431
    - **GitHub**: https://github.com/huggingface/peft
  • Network accessline 432
    - **Docs**: https://huggingface.co/docs/peft
  • Network accessline 433
    - **LoRA Paper**: arXiv:2106.09685 - **QLoRA Paper**: arXiv:2305.14314 - **Models**: https://huggingface.co/models?library=peft
  • Network accessline 435
    - **Models**: https://huggingface.co/models?library=peft

optional-skills/mlops/peft/references/troubleshooting.md

  • Network accessline 18
    # Or compile from source for specific CUDA git clone https://github.com/TimDettmers/bitsandbytes.git
  • Network accessline 19
    git clone https://github.com/TimDettmers/bitsandbytes.git
  • Network accessline 218
    **Error**: `ValueError: We couldn't connect to 'https://huggingface.co'`
  • Network accessline 457
    1. **Check PEFT GitHub Issues**: https://github.com/huggingface/peft/issues
  • Network accessline 458
    2. **HuggingFace Forums**: https://discuss.huggingface.co/
  • Network accessline 459
    3. **PEFT Documentation**: https://huggingface.co/docs/peft

optional-skills/mlops/pytorch-fsdp/references/common-patterns.md

  • Network accessline 33
    **Pattern 5:** Groups# By default collectives operate on the default group (also called the world) and require all processes to enter the distributed function call. However, some workloads can benefit from more fine-grained communication. T
  • Network accessline 39
    **Pattern 6:** Warning Safe concurrent usage: When using multiple process groups with the NCCL backend, the user must ensure a globally consistent execution order of collectives across ranks. If multiple threads within a process issue colle

optional-skills/mlops/pytorch-fsdp/references/other.md

  • Network accessline 9
    **URL:** https://pytorch.org/docs/stable/notes/ddp.html
  • Network accessline 74
    **URL:** https://pytorch.org/docs/stable/
  • Network accessline 92
    **URL:** https://pytorch.org/docs/stable/distributed.algorithms.join.html
  • Network accessline 159
    **URL:** https://pytorch.org/docs/stable/distributed._dist2.html
  • Network accessline 380
    **URL:** https://pytorch.org/docs/stable/distributed.fsdp.fully_shard.html
  • Network accessline 578
    **URL:** https://pytorch.org/docs/stable/distributed.html
  • Network accessline 693
    pg_options (ProcessGroupOptions, optional) – process group options specifying what additional options need to be passed in during the construction of specific process groups. As of now, the only options we support is ProcessGroupNCCL.Option
  • Network accessline 835
    See Using multiple NCCL communicators concurrently <https://docs.nvidia.com/deeplearning/nccl/user-guide/docs/usage/communicators.html#using-multiple-nccl-communicators-concurrently> for more details.
  • Network accessline 843
    pg_options (ProcessGroupOptions, optional) – process group options specifying what additional options need to be passed in during the construction of specific process groups. i.e. for the nccl backend, is_high_priority_stream can be specifi
  • Access to secretsline 1725
    [Credential-related source omitted]
  • Network accessline 1805
    **URL:** https://pytorch.org/docs/stable/generated/torch.nn.parallel.DistributedDataParallel.html
  • Network accessline 1964
    **URL:** https://pytorch.org/docs/stable/ddp_comm_hooks.html
  • Network accessline 2168
    **URL:** https://pytorch.org/docs/stable/distributed.checkpoint.html
  • Network accessline 2900
    **URL:** https://pytorch.org/docs/stable/distributed.tensor.html
  • Network accessline 3290
    **URL:** https://pytorch.org/docs/stable/fsdp.html
  • Network accessline 3373
    device_mesh (Optional[DeviceMesh]) – DeviceMesh can be used as an alternative to process_group. When device_mesh is passed, FSDP will use the underlying process groups for all-gather and reduce-scatter collective communications. Therefore, 
  • Network accessline 3729
    **URL:** https://pytorch.org/docs/stable/distributed.optim.html
  • Network accessline 3854
    **URL:** https://pytorch.org/docs/stable/distributed.elastic.html
  • Network accessline 3869
    **URL:** https://pytorch.org/docs/stable/distributed.pipelining.html
  • Network accessline 4075
    The Interleaved 1F1B schedule. See https://arxiv.org/pdf/2104.04473 for details. Will perform one forward and one backward on the microbatches in steady state and supports multiple stages per rank. When microbatches are ready for multiple l
  • Network accessline 4083
    Breadth-First Pipeline Parallelism. See https://arxiv.org/abs/2211.05953 for details. Similar to Interleaved 1F1B, Looped BFS supports multiple stages per rank. What is different is that when microbatches are ready for multiple local stages
  • Network accessline 4085
    The Interleaved Zero Bubble schedule. See https://arxiv.org/pdf/2401.10241 for details. Will perform one forward and one backward on inputs for the microbatches in steady state and supports multiple stages per rank. Uses the backward for we
  • Network accessline 4089
    The Zero Bubble schedule (ZBV variant). See https://arxiv.org/pdf/2401.10241 Section 6 for details.
  • Network accessline 4097
    The DualPipeV schedule. A more efficient schedule variant based on the DualPipe schedule introduced by DeepSeek in https://arxiv.org/pdf/2412.19437
  • Network accessline 4121
    **URL:** https://pytorch.org/docs/stable/distributed.tensor.parallel.html
  • Network accessline 4128
    Tensor Parallelism(TP) is built on top of the PyTorch DistributedTensor (DTensor)[https://github.com/pytorch/pytorch/blob/main/torch/distributed/tensor/README.md] and provides different parallelism styles: Colwise, Rowwise, and Sequence Par

optional-skills/mlops/pytorch-lightning/SKILL.md

  • Network accessline 343
    - Docs: https://lightning.ai/docs/pytorch/stable/
  • Network accessline 344
    - GitHub: https://github.com/Lightning-AI/pytorch-lightning ⭐ 29,000+
  • Network accessline 345
    - Version: 2.5.5+ - Examples: https://github.com/Lightning-AI/pytorch-lightning/tree/master/examples - Discord: https://discord.gg/lightning-ai
  • Network accessline 346
    - Examples: https://github.com/Lightning-AI/pytorch-lightning/tree/master/examples
  • Network accessline 347
    - Discord: https://discord.gg/lightning-ai

optional-skills/mlops/pytorch-lightning/references/callbacks.md

  • Network accessline 434
    - Callback API: https://lightning.ai/docs/pytorch/stable/extensions/callbacks.html
  • Network accessline 435
    - Built-in callbacks: https://lightning.ai/docs/pytorch/stable/api_references.html#callbacks
  • Network accessline 436
    - Examples: https://github.com/Lightning-AI/pytorch-lightning/tree/master/examples/callbacks

optional-skills/mlops/pytorch-lightning/references/distributed.md

  • Network accessline 487
    - Distributed strategies: https://lightning.ai/docs/pytorch/stable/accelerators/gpu_intermediate.html
  • Network accessline 488
    - FSDP guide: https://lightning.ai/docs/pytorch/stable/advanced/model_parallel/fsdp.html
  • Network accessline 489
    - DeepSpeed: https://lightning.ai/docs/pytorch/stable/advanced/model_parallel/deepspeed.html
  • Network accessline 490
    - Multi-node: https://lightning.ai/docs/pytorch/stable/clouds/cluster.html

optional-skills/mlops/pytorch-lightning/references/hyperparameter-tuning.md

  • Network accessline 553
    - Ray Tune + Lightning: https://docs.ray.io/en/latest/tune/examples/tune-pytorch-lightning.html
  • Network accessline 554
    - Optuna: https://optuna.readthedocs.io/
  • Network accessline 555
    - WandB Sweeps: https://docs.wandb.ai/guides/sweeps
  • Network accessline 556
    - Lightning Tuner: https://lightning.ai/docs/pytorch/stable/tuning.html

optional-skills/mlops/research/dspy/SKILL.md

  • Network accessline 35
    # Latest development version pip install git+https://github.com/stanfordnlp/dspy.git
  • Network accessline 36
    pip install git+https://github.com/stanfordnlp/dspy.git
  • Access to secretsline 296
    [Credential-related source omitted]
  • Access to secretsline 308
    [Credential-related source omitted]
  • Network accessline 317
    lm = dspy.OllamaLocal(     model="llama3.1",     base_url="http://localhost:11434"
  • Network accessline 318
    model="llama3.1",     base_url="http://localhost:11434" )
  • Network accessline 319
    base_url="http://localhost:11434"
  • Network accessline 582
    - **Documentation**: https://dspy.ai
  • Network accessline 583
    - **GitHub**: https://github.com/stanfordnlp/dspy (22k+ stars)
  • Network accessline 584
    - **Discord**: https://discord.gg/XCGy2WDCQB

optional-skills/mlops/research/dspy/references/examples.md

  • Dangerous shell operationline 165
    result = eval(expression, {"__builtins__": {}}, {})
  • Network accessline 661
    - **Documentation**: https://dspy.ai
  • Network accessline 662
    - **Examples Repo**: https://github.com/stanfordnlp/dspy/tree/main/examples
  • Network accessline 663
    - **Discord**: https://discord.gg/XCGy2WDCQB

optional-skills/mlops/research/dspy/references/modules.md

  • Dangerous shell operationline 135
    return eval(expression)

optional-skills/mlops/research/dspy/references/optimizers.md

  • Network accessline 564
    - **Paper**: "DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines" - **GitHub**: https://github.com/stanfordnlp/dspy
  • Network accessline 565
    - **GitHub**: https://github.com/stanfordnlp/dspy
  • Network accessline 566
    - **Discord**: https://discord.gg/XCGy2WDCQB

optional-skills/mlops/saelens/SKILL.md

  • Network accessline 19
    **GitHub**: [jbloomAus/SAELens](https://github.com/jbloomAus/SAELens) (1,100+ stars)
  • Network accessline 361
    Browse pre-trained SAE features at [neuronpedia.org](https://neuronpedia.org):
  • Network accessline 393
    ### Tutorials - [Basic Loading & Analysis](https://github.com/jbloomAus/SAELens/blob/main/tutorials/basic_loading_and_analysing.ipynb)
  • Network accessline 394
    - [Basic Loading & Analysis](https://github.com/jbloomAus/SAELens/blob/main/tutorials/basic_loading_and_analysing.ipynb)
  • Network accessline 395
    - [Training a Sparse Autoencoder](https://github.com/jbloomAus/SAELens/blob/main/tutorials/training_a_sparse_autoencoder.ipynb)
  • Network accessline 396
    - [ARENA SAE Curriculum](https://www.lesswrong.com/posts/LnHowHgmrMbWtpkxx/intro-to-superposition-and-sparse-autoencoders-colab)
  • Network accessline 398
    ### Papers - [Towards Monosemanticity](https://transformer-circuits.pub/2023/monosemantic-features) - Anthropic (2023)
  • Network accessline 399
    - [Towards Monosemanticity](https://transformer-circuits.pub/2023/monosemantic-features) - Anthropic (2023)
  • Network accessline 400
    - [Scaling Monosemanticity](https://transformer-circuits.pub/2024/scaling-monosemanticity/) - Anthropic (2024)
  • Network accessline 401
    - [Sparse Autoencoders Find Highly Interpretable Features](https://arxiv.org/abs/2309.08600) - Cunningham et al. (ICLR 2024)
  • Network accessline 403
    ### Official Documentation - [SAELens Docs](https://jbloomaus.github.io/SAELens/)
  • Network accessline 404
    - [SAELens Docs](https://jbloomaus.github.io/SAELens/)
  • Network accessline 405
    - [Neuronpedia](https://neuronpedia.org) - Feature browser

optional-skills/mlops/saelens/references/README.md

  • Network accessline 12
    - **GitHub Repository**: https://github.com/jbloomAus/SAELens
  • Network accessline 13
    - **Neuronpedia**: https://neuronpedia.org (browse pre-trained SAE features)

optional-skills/mlops/saelens/references/tutorials.md

  • Network accessline 307
    ### Official Tutorials - [Basic Loading & Analysis](https://github.com/jbloomAus/SAELens/blob/main/tutorials/basic_loading_and_analysing.ipynb)
  • Network accessline 308
    - [Basic Loading & Analysis](https://github.com/jbloomAus/SAELens/blob/main/tutorials/basic_loading_and_analysing.ipynb)
  • Network accessline 309
    - [Training SAEs](https://github.com/jbloomAus/SAELens/blob/main/tutorials/training_a_sparse_autoencoder.ipynb)
  • Network accessline 310
    - [Logits Lens with Features](https://github.com/jbloomAus/SAELens/blob/main/tutorials/logits_lens_with_features.ipynb)
  • Network accessline 312
    ### ARENA Curriculum Comprehensive SAE course: https://www.lesswrong.com/posts/LnHowHgmrMbWtpkxx/intro-to-superposition-and-sparse-autoencoders-colab
  • Network accessline 313
    Comprehensive SAE course: https://www.lesswrong.com/posts/LnHowHgmrMbWtpkxx/intro-to-superposition-and-sparse-autoencoders-colab
  • Network accessline 315
    ### Key Papers - [Towards Monosemanticity](https://transformer-circuits.pub/2023/monosemantic-features) - Anthropic (2023)
  • Network accessline 316
    - [Towards Monosemanticity](https://transformer-circuits.pub/2023/monosemantic-features) - Anthropic (2023)
  • Network accessline 317
    - [Scaling Monosemanticity](https://transformer-circuits.pub/2024/scaling-monosemanticity/) - Anthropic (2024)
  • Network accessline 318
    - [Sparse Autoencoders Find Interpretable Features](https://arxiv.org/abs/2309.08600) - ICLR 2024

optional-skills/mlops/simpo/SKILL.md

  • Network accessline 26
    # Install PyTorch 2.2.2 # Visit: https://pytorch.org/get-started/locally/
  • Network accessline 27
    # Visit: https://pytorch.org/get-started/locally/
  • Network accessline 29
    # Install alignment-handbook git clone https://github.com/huggingface/alignment-handbook.git
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    git clone https://github.com/huggingface/alignment-handbook.git
  • Network accessline 217
    - Paper: https://arxiv.org/abs/2405.14734 (NeurIPS 2024)
  • Network accessline 218
    - GitHub: https://github.com/princeton-nlp/SimPO
  • Network accessline 219
    - Models: https://huggingface.co/princeton-nlp
  • Network accessline 220
    - Alignment Handbook: https://github.com/huggingface/alignment-handbook

optional-skills/mlops/simpo/references/datasets.md

  • Network accessline 476
    - HuggingFace Datasets: https://huggingface.co/datasets
  • Network accessline 477
    - Alignment Handbook: https://github.com/huggingface/alignment-handbook
  • Network accessline 478
    - UltraFeedback: https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized

optional-skills/mlops/simpo/references/hyperparameters.md

  • Network accessline 451
    - SimPO paper: https://arxiv.org/abs/2405.14734
  • Network accessline 452
    - Alignment Handbook: https://github.com/huggingface/alignment-handbook

optional-skills/mlops/simpo/references/loss-functions.md

  • Network accessline 348
    - SimPO paper: https://arxiv.org/abs/2405.14734
  • Network accessline 349
    - DPO paper: https://arxiv.org/abs/2305.18290
  • Network accessline 350
    - Implementation: https://github.com/princeton-nlp/SimPO

optional-skills/mlops/slime/SKILL.md

  • Network accessline 72
    git clone https://github.com/THUDM/slime.git
  • Network accessline 464
    - **Documentation**: https://thudm.github.io/slime/
  • Network accessline 465
    - **GitHub**: https://github.com/THUDM/slime
  • Network accessline 466
    - **Blog**: https://lmsys.org/blog/2025-07-09-slime/

optional-skills/mlops/slime/references/api-reference.md

  • Network accessline 389
    - Documentation: https://thudm.github.io/slime/
  • Network accessline 390
    - GitHub: https://github.com/THUDM/slime
  • Network accessline 391
    - Blog: https://lmsys.org/blog/2025-07-09-slime/

optional-skills/mlops/slime/references/troubleshooting.md

  • Network accessline 384
    - GitHub Issues: https://github.com/THUDM/slime/issues
  • Network accessline 385
    - Documentation: https://thudm.github.io/slime/

optional-skills/mlops/tensorrt-llm/SKILL.md

  • Network accessline 43
    # Docker (recommended) — images are on NGC (nvcr.io), not Docker Hub. # Replace x.y.z with the desired version (e.g. 1.2.1). Browse tags on NGC: # https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tensorrt-llm/containers/release/tags
  • Network accessline 44
    # Replace x.y.z with the desired version (e.g. 1.2.1). Browse tags on NGC: # https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tensorrt-llm/containers/release/tags docker pull nvcr.io/nvidia/tensorrt-llm/release:x.y.z
  • Network accessline 45
    # https://catalog.ngc.nvidia.com/orgs/nvidia/teams/tensorrt-llm/containers/release/tags
  • Network accessline 87
    # Client request curl -X POST http://localhost:8000/v1/chat/completions \
  • Network accessline 88
    curl -X POST http://localhost:8000/v1/chat/completions \
  • Network accessline 190
    - **Docs**: https://nvidia.github.io/TensorRT-LLM/
  • Network accessline 191
    - **GitHub**: https://github.com/NVIDIA/TensorRT-LLM
  • Network accessline 192
    - **Models**: https://huggingface.co/models?library=tensorrt_llm

optional-skills/mlops/tensorrt-llm/references/multi-gpu.md

  • Network accessline 142
    # Listens on http://localhost:8000
  • Network accessline 231
    # TensorRT-LLM built-in metrics curl http://localhost:8000/metrics
  • Network accessline 232
    curl http://localhost:8000/metrics

optional-skills/mlops/tensorrt-llm/references/serving.md

  • Access to secretsline 26
    [Credential-related source omitted]
  • Access to secretsline 34
    [Credential-related source omitted]
  • Network accessline 74
    curl -X POST http://localhost:8000/v1/chat/completions \
  • Network accessline 114
    curl -X POST http://localhost:8000/v1/chat/completions \
  • Network accessline 137
    curl -X POST http://localhost:8000/v1/completions \
  • Network accessline 160
    # Scrape metrics curl http://localhost:9090/metrics
  • Network accessline 161
    curl http://localhost:9090/metrics
  • Network accessline 176
    # Readiness probe curl http://localhost:8000/health/ready
  • Network accessline 177
    curl http://localhost:8000/health/ready
  • Network accessline 179
    # Liveness probe curl http://localhost:8000/health/live
  • Network accessline 180
    curl http://localhost:8000/health/live
  • Network accessline 182
    # Model info curl http://localhost:8000/v1/models
  • Network accessline 183
    curl http://localhost:8000/v1/models
  • Network accessline 306
    listen 80;     location / {         proxy_pass http://tensorrt_llm;
  • Network accessline 307
    location / {         proxy_pass http://tensorrt_llm;         proxy_read_timeout 300s;  # Long timeout for slow generations
  • Network accessline 308
    proxy_pass http://tensorrt_llm;
  • Access to secretsline 388
    [Credential-related source omitted]
  • Access to secretsline 391
    [Credential-related source omitted]
  • Access to secretsline 392
    [Credential-related source omitted]
  • Network accessline 394
    # Client request curl -X POST http://localhost:8000/v1/chat/completions \
  • Network accessline 395
    [Credential-related source omitted]
  • Access to secretsline 395
    [Credential-related source omitted]
  • Access to secretsline 396
    [Credential-related source omitted]
  • Network accessline 430
    # Check queue size curl http://localhost:9090/metrics | grep queue_size
  • Network accessline 431
    curl http://localhost:9090/metrics | grep queue_size
  • Network accessline 433
    # Check active requests curl http://localhost:9090/metrics | grep active_requests
  • Network accessline 434
    curl http://localhost:9090/metrics | grep active_requests

optional-skills/mlops/torchtitan/SKILL.md

  • Network accessline 26
    # From source (latest features, requires PyTorch nightly) git clone https://github.com/pytorch/torchtitan
  • Network accessline 27
    git clone https://github.com/pytorch/torchtitan
  • Network accessline 34
    # Get HF token from https://huggingface.co/settings/tokens
  • Network accessline 201
    USE_CPP=0 pip install git+https://github.com/pytorch/ao.git
  • Network accessline 384
    - GitHub: https://github.com/pytorch/torchtitan
  • Network accessline 385
    - Paper: https://arxiv.org/abs/2410.06511
  • Network accessline 386
    - ICLR 2025: https://iclr.cc/virtual/2025/poster/29620
  • Network accessline 387
    - PyTorch Forum: https://discuss.pytorch.org/c/distributed/torchtitan/44

optional-skills/mlops/torchtitan/references/checkpoint.md

  • Network accessline 156
    Checkpoints saved with `last_save_model_only = true` can be loaded directly into [torchtune](https://github.com/pytorch/torchtune) for fine-tuning.

optional-skills/mlops/torchtitan/references/float8.md

  • Network accessline 13
    USE_CPP=0 pip install git+https://github.com/pytorch/ao.git
  • Network accessline 127
    Check [torchao microbenchmarks](https://github.com/pytorch/ao/tree/main/torchao/float8#performance) for forward+backward pass speedups on "layer norm => linear => sigmoid" for different M,N,K sizes.
  • Network accessline 133
    For NVIDIA Blackwell GPUs, TorchTitan supports MXFP8 (Microscaling FP8) for both dense and MoE models. See [docs/mxfp8.md](https://github.com/pytorch/torchtitan/blob/main/docs/mxfp8.md) for details.

optional-skills/mlops/training/axolotl/SKILL.md

  • Network accessline 72
    **Pattern 6:** Note It is not necessary to place your integration in the integrations folder. It can be in any location, so long as it’s installed in a package in your python env. See this repo for an example: https://github.com/axolotl-ai-

optional-skills/mlops/training/axolotl/references/api.md

  • Network accessline 9
    **URL:** https://docs.axolotl.ai/docs/api/cli.cloud.modal_.html
  • Network accessline 40
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.base.html
  • Network accessline 99
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.input_output.html
  • Network accessline 135
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.completion.html
  • Network accessline 171
    **URL:** https://docs.axolotl.ai/docs/api/utils.collators.core.html
  • Network accessline 182
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.data.batch_dataset_fetcher.html
  • Network accessline 230
    **URL:** https://docs.axolotl.ai/docs/api/core.datasets.chat.html
  • Network accessline 259
    **URL:** https://docs.axolotl.ai/docs/api/utils.freeze.html
  • Network accessline 307
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.unsloth_.html
  • Network accessline 318
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.datasets.html
  • Network accessline 380
    **URL:** https://docs.axolotl.ai/docs/api/core.chat.format.llama3x.html
  • Network accessline 393
    **URL:** https://docs.axolotl.ai/docs/api/datasets.html
  • Network accessline 424
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.bradley_terry.llama3.html
  • Network accessline 435
    chatml transforms for datasets with system, input, chosen, rejected ex. https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs
  • Network accessline 448
    **URL:** https://docs.axolotl.ai/docs/api/common.datasets.html
  • Network accessline 502
    **URL:** https://docs.axolotl.ai/docs/api/cli.train.html
  • Network accessline 534
    **URL:** https://docs.axolotl.ai/docs/api/cli.utils.fetch.html
  • Network accessline 557
    **URL:** https://docs.axolotl.ai/docs/api/utils.tokenization.html
  • Network accessline 597
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.grpo.sampler.html
  • Network accessline 610
    Repeat random sampler (similar to the one implemented in https://github.com/huggingface/trl/blob/main/trl/trainer/grpo_trainer.py) that adds sequence parallelism functionality; i.e., duplicating data across ranks in the same sequence parall
  • Network accessline 665
    **URL:** https://docs.axolotl.ai/docs/api/evaluate.html
  • Network accessline 699
    **URL:** https://docs.axolotl.ai/docs/api/utils.optimizers.adopt.html
  • Network accessline 708
    Copied from https://github.com/iShohei220/adopt
  • Network accessline 747
    **URL:** https://docs.axolotl.ai/docs/api/prompt_tokenizers.html
  • Network accessline 834
    **URL:** https://docs.axolotl.ai/docs/api/cli.art.html
  • Network accessline 856
    **URL:** https://docs.axolotl.ai/docs/api/utils.callbacks.perplexity.html
  • Network accessline 869
    Calculate perplexity as defined in https://huggingface.co/docs/transformers/en/perplexity. This is a custom variant that doesn’t re-tokenize the input or re-load the model.
  • Network accessline 889
    **URL:** https://docs.axolotl.ai/docs/api/cli.utils.train.html
  • Network accessline 937
    **URL:** https://docs.axolotl.ai/docs/api/cli.vllm_serve.html
  • Network accessline 974
    **URL:** https://docs.axolotl.ai/docs/api/convert.html
  • Network accessline 1031
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.utils.html
  • Network accessline 1069
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.pygmalion.html
  • Network accessline 1106
    **URL:** https://docs.axolotl.ai/docs/api/utils.callbacks.mlflow_.html
  • Network accessline 1130
    **URL:** https://docs.axolotl.ai/docs/api/loaders.adapter.html
  • Network accessline 1160
    **URL:** https://docs.axolotl.ai/docs/api/cli.cloud.base.html
  • Network accessline 1182
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.llama_attn_hijack_flash.html
  • Network accessline 1195
    From: https://github.com/dvlab-research/LongLoRA/blob/main/llama_attn_replace.py
  • Network accessline 1223
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.llama_patch_multipack.html
  • Network accessline 1236
    **URL:** https://docs.axolotl.ai/docs/api/cli.inference.html
  • Network accessline 1286
    **URL:** https://docs.axolotl.ai/docs/api/loaders.tokenizer.html
  • Network accessline 1304
    Ref: https://github.com/huggingface/transformers/issues/27974#issuecomment-1854188941
  • Network accessline 1326
    **URL:** https://docs.axolotl.ai/docs/api/cli.utils.sweeps.html
  • Network accessline 1353
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.chatml.html
  • Network accessline 1369
    chatml transforms for datasets with system, input, chosen, rejected ex. https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs
  • Network accessline 1401
    **URL:** https://docs.axolotl.ai/docs/api/cli.quantize.html
  • Network accessline 1424
    **URL:** https://docs.axolotl.ai/docs/api/utils.dict.html
  • Network accessline 1437
    Remove null from a dictionary-like obj or list. These can appear due to Dataset loading causing schema merge. See https://github.com/axolotl-ai-cloud/axolotl/pull/2909
  • Network accessline 1455
    **URL:** https://docs.axolotl.ai/docs/api/
  • Network accessline 1501
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.lora_kernels.html
  • Network accessline 1565
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.stablelm_attn_hijack_flash.html
  • Network accessline 1597
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.mixins.rng_state_loader.html
  • Network accessline 1608
    See https://github.com/huggingface/transformers/pull/37162
  • Network accessline 1625
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.utils.html
  • Network accessline 1636
    **URL:** https://docs.axolotl.ai/docs/api/core.training_args.html
  • Network accessline 1690
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.btlm_attn_hijack_flash.html
  • Network accessline 1703
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.passthrough.html
  • Network accessline 1716
    **URL:** https://docs.axolotl.ai/docs/api/kernels.swiglu.html
  • Network accessline 1730
    See “GLU Variants Improve Transformer” (https://arxiv.org/abs/2002.05202).
  • Network accessline 1732
    Credit to unsloth (https://unsloth.ai/) for inspiration for this implementation.
  • Network accessline 1754
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.grpo.trainer.html
  • Network accessline 1808
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.user_defined.html
  • Network accessline 1854
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.training.html
  • Network accessline 1894
    **URL:** https://docs.axolotl.ai/docs/api/utils.quantization.html
  • Network accessline 1960
    **URL:** https://docs.axolotl.ai/docs/api/logging_config.html
  • Network accessline 2007
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.stepwise_supervised.html
  • Network accessline 2037
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.model.html
  • Network accessline 2075
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.enums.html
  • Network accessline 2121
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.trl.html
  • Network accessline 2170
    **URL:** https://docs.axolotl.ai/docs/api/utils.schedulers.html
  • Network accessline 2196
    Implementation of Continual Pre-Training of Large Language Models: How to (re)warm your model? (https://arxiv.org/pdf/2308.04014.pdf) Create a schedule with a learning rate that decreases following the values of the cosine function between 
  • Network accessline 2251
    **URL:** https://docs.axolotl.ai/docs/api/cli.merge_lora.html
  • Network accessline 2284
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.alpaca_w_system.html
  • Network accessline 2346
    **URL:** https://docs.axolotl.ai/docs/api/loaders.patch_manager.html
  • Network accessline 2398
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.peft.html
  • Network accessline 2444
    **URL:** https://docs.axolotl.ai/docs/api/common.const.html
  • Network accessline 2455
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.kto.user_defined.html
  • Network accessline 2468
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.base.html
  • Network accessline 2481
    **URL:** https://docs.axolotl.ai/docs/api/cli.delinearize_llama4.html
  • Network accessline 2506
    **URL:** https://docs.axolotl.ai/docs/api/integrations.base.html
  • Network accessline 2662
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.chat_template.html
  • Network accessline 2760
    **URL:** https://docs.axolotl.ai/docs/api/kernels.quantize.html
  • Network accessline 2790
    **URL:** https://docs.axolotl.ai/docs/api/integrations.spectrum.args.html
  • Network accessline 2814
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.alpaca_chat.html
  • Network accessline 2877
    **URL:** https://docs.axolotl.ai/docs/api/utils.collators.mamba.html
  • Network accessline 2899
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.messages.chat.html
  • Network accessline 2928
    **URL:** https://docs.axolotl.ai/docs/api/train.html
  • Network accessline 2998
    **URL:** https://docs.axolotl.ai/docs/api/cli.utils.load.html
  • Network accessline 3022
    **URL:** https://docs.axolotl.ai/docs/api/loaders.model.html
  • Network accessline 3065
    **URL:** https://docs.axolotl.ai/docs/api/utils.distributed.html
  • Network accessline 3143
    **URL:** https://docs.axolotl.ai/docs/api/cli.config.html
  • Network accessline 3193
    **URL:** https://docs.axolotl.ai/docs/api/cli.checks.html
  • Network accessline 3225
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.llama2_chat.html
  • Network accessline 3239
    Prompt Strategy for finetuning Llama2 chat models see also https://github.com/facebookresearch/llama/blob/6c7fe276574e78057f917549435a2554000a876d/llama/generation.py#L213 for ma reference implementation.
  • Network accessline 3241
    This implementation is based on the Vicuna PR and the fastchat repo, see also: https://github.com/lm-sys/FastChat/blob/cdd7730686cb1bf9ae2b768ee171bdf7d1ff04f3/fastchat/conversation.py#L847
  • Network accessline 3253
    Tokenizing strategy for Llama2 prompts. adapted from https://github.com/lm-sys/FastChat/blob/main/fastchat/train/train.py
  • Network accessline 3255
    A class that manages prompt templates and keeps all conversation history. copied from https://github.com/lm-sys/FastChat/blob/main/fastchat/conversation.py
  • Network accessline 3297
    **URL:** https://docs.axolotl.ai/docs/api/cli.utils.html
  • Network accessline 3308
    **URL:** https://docs.axolotl.ai/docs/api/cli.utils.args.html
  • Network accessline 3351
    **URL:** https://docs.axolotl.ai/docs/api/integrations.grokfast.optimizer.html
  • Network accessline 3362
    **URL:** https://docs.axolotl.ai/docs/api/core.builders.causal.html
  • Network accessline 3389
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.user_defined.html
  • Network accessline 3402
    **URL:** https://docs.axolotl.ai/docs/api/cli.evaluate.html
  • Network accessline 3434
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.utils.html
  • Network accessline 3463
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.alpaca_instruct.html
  • Network accessline 3476
    **URL:** https://docs.axolotl.ai/docs/api/utils.callbacks.lisa.html
  • Network accessline 3481
    Adapted from https://github.com/OptimalScale/LMFlow/pull/701 for HF transformers & Axolotl Arxiv: https://arxiv.org/abs/2403.17919 License: Apache 2.0
  • Network accessline 3487
    **URL:** https://docs.axolotl.ai/docs/api/models.mamba.modeling_mamba.html
  • Network accessline 3498
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.metharme.html
  • Network accessline 3535
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.mamba.html
  • Network accessline 3563
    **URL:** https://docs.axolotl.ai/docs/api/utils.ctx_managers.sequence_parallel.html
  • Network accessline 3638
    **URL:** https://docs.axolotl.ai/docs/api/utils.callbacks.qat.html
  • Network accessline 3670
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.zephyr.html
  • Network accessline 3683
    **URL:** https://docs.axolotl.ai/docs/api/kernels.utils.html
  • Network accessline 3694
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.multipack.html
  • Network accessline 3707
    **URL:** https://docs.axolotl.ai/docs/api/cli.main.html
  • Network accessline 3753
    cli.main.fetch(directory, dest)
  • Network accessline 3765
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.mixins.optimizer.html
  • Network accessline 3797
    **URL:** https://docs.axolotl.ai/docs/api/integrations.kd.trainer.html
  • Network accessline 3835
    **URL:** https://docs.axolotl.ai/docs/api/integrations.lm_eval.args.html
  • Network accessline 3859
    **URL:** https://docs.axolotl.ai/docs/api/integrations.cut_cross_entropy.args.html
  • Network accessline 3883
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.mistral_attn_hijack_flash.html
  • Network accessline 3896
    **URL:** https://docs.axolotl.ai/docs/api/loaders.constants.html
  • Network accessline 3907
    **URL:** https://docs.axolotl.ai/docs/api/utils.bench.html
  • Network accessline 3929
    **URL:** https://docs.axolotl.ai/docs/api/utils.trainer.html
  • Network accessline 3994
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.config.html
  • Network accessline 4024
    **URL:** https://docs.axolotl.ai/docs/api/cli.args.html
  • Network accessline 4095
    **URL:** https://docs.axolotl.ai/docs/api/common.architectures.html
  • Network accessline 4106
    **URL:** https://docs.axolotl.ai/docs/api/cli.merge_sharded_fsdp_weights.html
  • Network accessline 4157
    **URL:** https://docs.axolotl.ai/docs/api/utils.data.streaming.html
  • Network accessline 4168
    **URL:** https://docs.axolotl.ai/docs/api/core.chat.format.chatml.html
  • Network accessline 4181
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.kto.chatml.html
  • Network accessline 4221
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.trl.html
  • Network accessline 4241
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.llama_attn_hijack_xformers.html
  • Network accessline 4248
    Directly copied the code from https://raw.githubusercontent.com/oobabooga/text-generation-webui/main/modules/llama_attn_hijack.py and made some adjustments
  • Network accessline 4254
    **URL:** https://docs.axolotl.ai/docs/api/kernels.geglu.html
  • Network accessline 4269
    See “GLU Variants Improve Transformer” (https://arxiv.org/abs/2002.05202).
  • Network accessline 4271
    Credit to unsloth (https://unsloth.ai/) for inspiration for this implementation.
  • Network accessline 4293
    **URL:** https://docs.axolotl.ai/docs/api/utils.callbacks.profiler.html
  • Network accessline 4320
    **URL:** https://docs.axolotl.ai/docs/api/kernels.lora.html
  • Network accessline 4336
    See “LoRA: Low-Rank Adaptation of Large Language Models” (https://arxiv.org/abs/2106.09685).
  • Network accessline 4338
    Credit to unsloth (https://unsloth.ai/) for inspiration for this implementation.
  • Network accessline 4422
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.trainer_fsdp_optim.html
  • Network accessline 4446
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.multimodal.html
  • Network accessline 4481
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.llama3.html
  • Network accessline 4497
    chatml transforms for datasets with system, input, chosen, rejected ex. https://huggingface.co/datasets/argilla/distilabel-intel-orca-dpo-pairs
  • Network accessline 4529
    **URL:** https://docs.axolotl.ai/docs/api/core.chat.format.shared.html
  • Network accessline 4542
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.llama_expand_mask.html
  • Network accessline 4549
    expands the binary attention mask per 3.2.2 of https://arxiv.org/pdf/2107.02027.pdf
  • Network accessline 4555
    **URL:** https://docs.axolotl.ai/docs/api/core.chat.messages.html
  • Network accessline 4621
    **URL:** https://docs.axolotl.ai/docs/api/core.datasets.transforms.chat_builder.html
  • Network accessline 4653
    **URL:** https://docs.axolotl.ai/docs/api/utils.chat_templates.html
  • Network accessline 4664
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.dpo.trainer.html
  • Network accessline 4697
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.gradient_checkpointing.offload_disk.html
  • Network accessline 4778
    **URL:** https://docs.axolotl.ai/docs/api/utils.samplers.multipack.html
  • Network accessline 4865
    **URL:** https://docs.axolotl.ai/docs/api/core.trainers.mixins.scheduler.html
  • Network accessline 4902
    **URL:** https://docs.axolotl.ai/docs/api/utils.collators.batching.html
  • Network accessline 4983
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.orcamini.html
  • Network accessline 4992
    Prompt Strategy for finetuning Orca Mini (v2) models see also https://huggingface.co/psmathur/orca_mini_v2_7b for more information
  • Network accessline 5015
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.dpo.chat_template.html
  • Network accessline 5046
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.relora.html
  • Network accessline 5053
    Implements the ReLoRA training procedure from https://arxiv.org/abs/2307.05695, minus the initial full fine-tune.
  • Network accessline 5068
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.transformers_fa_utils.html
  • Network accessline 5078
    see https://github.com/huggingface/transformers/pull/35834
  • Network accessline 5099
    **URL:** https://docs.axolotl.ai/docs/api/utils.collators.mm_chat.html
  • Network accessline 5130
    **URL:** https://docs.axolotl.ai/docs/api/utils.lora.html
  • Network accessline 5154
    **URL:** https://docs.axolotl.ai/docs/api/utils.model_shard_quant.html
  • Network accessline 5191
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.gradient_checkpointing.offload_cpu.html
  • Network accessline 5216
    **URL:** https://docs.axolotl.ai/docs/api/core.builders.base.html
  • Network accessline 5247
    **URL:** https://docs.axolotl.ai/docs/api/core.builders.rl.html
  • Network accessline 5269
    **URL:** https://docs.axolotl.ai/docs/api/utils.schemas.integrations.html
  • Network accessline 5326
    **URL:** https://docs.axolotl.ai/docs/api/utils.data.sft.html
  • Network accessline 5350
    **URL:** https://docs.axolotl.ai/docs/api/integrations.liger.args.html
  • Network accessline 5374
    **URL:** https://docs.axolotl.ai/docs/api/monkeypatch.mixtral.html
  • Network accessline 5385
    **URL:** https://docs.axolotl.ai/docs/api/cli.preprocess.html
  • Network accessline 5417
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.kto.llama3.html
  • Network accessline 5457
    **URL:** https://docs.axolotl.ai/docs/api/prompt_strategies.orpo.chat_template.html
  • Network accessline 5517
    **URL:** https://docs.axolotl.ai/docs/api/loaders.processor.html
  • Network accessline 5528
    **URL:** https://docs.axolotl.ai/docs/api/utils.callbacks.comet_.html

optional-skills/mlops/training/axolotl/references/dataset-formats.md

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    **URL:** https://docs.axolotl.ai/docs/dataset-formats/tokenized.html
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    **URL:** https://docs.axolotl.ai/docs/dataset-formats/index.html
  • Network accessline 247
    **URL:** https://docs.axolotl.ai/docs/dataset-formats/conversation.html
  • Network accessline 377
    **URL:** https://docs.axolotl.ai/docs/dataset-formats/pretraining.html
  • Network accessline 411
    **URL:** https://docs.axolotl.ai/docs/dataset-formats/template_free.html
  • Network accessline 502
    **URL:** https://docs.axolotl.ai/docs/dataset-formats/
  • Network accessline 715
    **URL:** https://docs.axolotl.ai/docs/dataset-formats
  • Network accessline 928
    **URL:** https://docs.axolotl.ai/docs/dataset-formats/inst_tune.html
  • Network accessline 1004
    **URL:** https://docs.axolotl.ai/docs/dataset-formats/stepwise_supervised.html

optional-skills/mlops/training/axolotl/references/other.md

  • Network accessline 9
    **URL:** https://docs.axolotl.ai/docs/mixed_precision.html
  • Network accessline 95
    **URL:** https://docs.axolotl.ai/docs/faq.html
  • Network accessline 150
    A: There seems to be a wheel issue with FA2 2.8.0 on CUDA 12.4. Try CUDA 12.6 instead or downgrade to FA2 2.7.4. Please refer to the upstream issue: https://github.com/Dao-AILab/flash-attention/issues/1717.
  • Network accessline 158
    A: We use torch APIs to retrieve this information. You can see https://docs.pytorch.org/docs/stable/notes/cuda.html#cuda-memory-management for more information.
  • Network accessline 246
    **URL:** https://docs.axolotl.ai/docs/installation.html
  • Network accessline 264
    Follow the instructions at: https://pytorch.org/get-started/locally/
  • Network accessline 294
    Install PyTorch: https://pytorch.org/get-started/locally/
  • Dangerous shell operationline 310
    curl -LsSf https://astral.sh/uv/install.sh | sh
  • Network accessline 310
    curl -LsSf https://astral.sh/uv/install.sh | sh
  • Network accessline 332
    **URL:** https://docs.axolotl.ai/docs/dataset_preprocessing.html
  • Network accessline 358
    **URL:** https://docs.axolotl.ai/docs/inference.html
  • Network accessline 421
    **URL:** https://docs.axolotl.ai/docs/multimodal.html
  • Network accessline 535
    **URL:** https://docs.axolotl.ai/docs/reward_modelling.html
  • Network accessline 604
    **URL:** https://docs.axolotl.ai/docs/rlhf.html
  • Network accessline 634
    Paper: https://arxiv.org/abs/2403.07691
  • Network accessline 724
    **URL:** https://docs.axolotl.ai/docs/lora_optims.html
  • Network accessline 810
    **URL:** https://docs.axolotl.ai/docs/quantize.html
  • Network accessline 864
    **URL:** https://docs.axolotl.ai/docs/nccl.html
  • Network accessline 911
    **URL:** https://docs.axolotl.ai/docs/multi-node.html
  • Network accessline 1001
    **URL:** https://docs.axolotl.ai/docs/dataset_loading.html
  • Access to secretsline 1053
    [Credential-related source omitted]
  • Network accessline 1099
    The path should start with https://.
  • Network accessline 1143
    **URL:** https://docs.axolotl.ai/docs/multi-gpu.html
  • Network accessline 1238
    **URL:** https://docs.axolotl.ai/docs/ray-integration.html
  • Network accessline 1324
    **URL:** https://docs.axolotl.ai/docs/sequence_parallelism.html
  • Network accessline 1391
    **URL:** https://docs.axolotl.ai/docs/qat.html
  • Network accessline 1423
    **URL:** https://docs.axolotl.ai/docs/fsdp_qlora.html
  • Network accessline 1454
    **URL:** https://docs.axolotl.ai/docs/custom_integrations.html
  • Network accessline 1474
    See https://github.com/apple/ml-cross-entropy
  • Network accessline 1520
    See https://github.com/ironjr/grokfast
  • Network accessline 1546
    To learn more about writing and customizing LLMCompressor recipes, refer to the official documentation: https://github.com/vllm-project/llm-compressor/blob/main/README.md
  • Network accessline 1560
    https://github.com/vllm-project/llm-compressor
  • Network accessline 1566
    See https://github.com/EleutherAI/lm-evaluation-harness
  • Network accessline 1572
    See https://github.com/linkedin/Liger-Kernel
  • Network accessline 1580
    See https://github.com/cognitivecomputations/spectrum
  • Network accessline 1598
    See this repo for an example: https://github.com/axolotl-ai-cloud/diff-transformer
  • Network accessline 1609
    pip3 uninstall -y cut-cross-entropy && pip3 install "cut-cross-entropy[transformers] @ git+https://github.com/axolotl-ai-cloud/ml-cross-entropy.git@8a1a0ec"
  • Network accessline 1627
    journal      = {arXiv},   year         = {2024},   url          = {https://arxiv.org/abs/2411.09009},
  • Network accessline 1628
    year         = {2024},   url          = {https://arxiv.org/abs/2411.09009}, }
  • Network accessline 1629
    url          = {https://arxiv.org/abs/2411.09009},
  • Network accessline 1637
    **URL:** https://docs.axolotl.ai/docs/config-reference.html
  • Network accessline 1793
    process_reward_model: bool | None # Coefficient to incentivize the reward model to output mean-zero rewards (proposed by # https://huggingface.co/papers/2312.09244, Eq. 2). Recommended value: `0.01`.
  • Network accessline 1794
    # Coefficient to incentivize the reward model to output mean-zero rewards (proposed by # https://huggingface.co/papers/2312.09244, Eq. 2). Recommended value: `0.01`. center_rewards_coefficient: float | None
  • Network accessline 1795
    # https://huggingface.co/papers/2312.09244, Eq. 2). Recommended value: `0.01`.
  • Network accessline 1868
    field_messages: str | None   # Key containing the tools (default: "tools"). Must be a list[dict] and follow [JSON   # schema](https://json-schema.org/learn/getting-started-step-by-step).
  • Network accessline 1869
    # Key containing the tools (default: "tools"). Must be a list[dict] and follow [JSON   # schema](https://json-schema.org/learn/getting-started-step-by-step).   field_tools: str | None
  • Network accessline 1870
    # schema](https://json-schema.org/learn/getting-started-step-by-step).
  • Network accessline 2025
    field_messages: str | None   # Key containing the tools (default: "tools"). Must be a list[dict] and follow [JSON   # schema](https://json-schema.org/learn/getting-started-step-by-step).
  • Network accessline 2026
    # Key containing the tools (default: "tools"). Must be a list[dict] and follow [JSON   # schema](https://json-schema.org/learn/getting-started-step-by-step).   field_tools: str | None
  • Network accessline 2027
    # schema](https://json-schema.org/learn/getting-started-step-by-step).
  • Network accessline 2209
    field_messages: str | None   # Key containing the tools (default: "tools"). Must be a list[dict] and follow [JSON   # schema](https://json-schema.org/learn/getting-started-step-by-step).
  • Network accessline 2210
    # Key containing the tools (default: "tools"). Must be a list[dict] and follow [JSON   # schema](https://json-schema.org/learn/getting-started-step-by-step).   field_tools: str | None
  • Network accessline 2211
    # schema](https://json-schema.org/learn/getting-started-step-by-step).
  • Access to secretsline 2289
    [Credential-related source omitted]
  • Access to secretsline 2291
    [Credential-related source omitted]
  • Network accessline 2358
    # Whether to use gradient checkpointing. Available options are: true, false, 'offload', # 'offload_disk'. # https://huggingface.co/docs/transformers/v4.18.0/en/performance#gradient-checkpointing
  • Network accessline 2359
    # 'offload_disk'. # https://huggingface.co/docs/transformers/v4.18.0/en/performance#gradient-checkpointing gradient_checkpointing: Literal['offload', 'offload_disk'] | bool | None = False
  • Network accessline 2360
    # https://huggingface.co/docs/transformers/v4.18.0/en/performance#gradient-checkpointing
  • Network accessline 2425
    # Whether to use xformers attention patch https://github.com/facebookresearch/xformers
  • Network accessline 2426
    xformers_attention: bool | None # Whether to use scaled-dot-product attention https://pytorch.org/docs/stable/generated/ # torch.nn.functional.scaled_dot_product_attention.html
  • Network accessline 2427
    # Whether to use scaled-dot-product attention https://pytorch.org/docs/stable/generated/
  • Network accessline 2428
    # torch.nn.functional.scaled_dot_product_attention.html sdp_attention: bool | None # Shifted-sparse attention (only llama) - https://arxiv.org/pdf/2309.12307.pdf
  • Network accessline 2429
    sdp_attention: bool | None # Shifted-sparse attention (only llama) - https://arxiv.org/pdf/2309.12307.pdf s2_attention: bool | None
  • Network accessline 2430
    # Shifted-sparse attention (only llama) - https://arxiv.org/pdf/2309.12307.pdf
  • Network accessline 2432
    flex_attention: bool | None flex_attn_compile_kwargs: dict[str, Any] | None # Whether to use flash attention patch https://github.com/Dao-AILab/flash-attention
  • Network accessline 2433
    flex_attn_compile_kwargs: dict[str, Any] | None # Whether to use flash attention patch https://github.com/Dao-AILab/flash-attention flash_attention: bool | None
  • Network accessline 2434
    # Whether to use flash attention patch https://github.com/Dao-AILab/flash-attention
  • Network accessline 2457
    # Apply custom LoRA autograd functions and activation function Triton kernels for speed # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html
  • Network accessline 2458
    # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html
  • Network accessline 2459
    lora_mlp_kernel: bool | None # Apply custom LoRA autograd functions and activation function Triton kernels for speed # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html
  • Network accessline 2460
    # Apply custom LoRA autograd functions and activation function Triton kernels for speed # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html lora_qkv_kernel: bool | None
  • Network accessline 2461
    # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html
  • Network accessline 2462
    lora_qkv_kernel: bool | None # Apply custom LoRA autograd functions and activation function Triton kernels for speed # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html
  • Network accessline 2463
    # Apply custom LoRA autograd functions and activation function Triton kernels for speed # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html lora_o_kernel: bool | None
  • Network accessline 2464
    # and memory savings. See: https://docs.axolotl.ai/docs/lora_optims.html
  • Network accessline 2540
    # a single GPU's VRAM. E.g., if 4 GPUs are available, set this value to 2 to split each # sequence into two equal-sized subsequences, or set to 4 to split into four equal-sized # subsequences. See https://docs.axolotl.ai/docs/sequence_paral
  • Network accessline 2541
    # sequence into two equal-sized subsequences, or set to 4 to split into four equal-sized # subsequences. See https://docs.axolotl.ai/docs/sequence_parallelism.html for more # details.
  • Network accessline 2542
    # subsequences. See https://docs.axolotl.ai/docs/sequence_parallelism.html for more
  • Network accessline 2609
    # Logging frequency logging_steps: int | None # Stop training after this many evaluation losses have increased in a row. https://huggi
  • Network accessline 2610
    logging_steps: int | None # Stop training after this many evaluation losses have increased in a row. https://huggi # ngface.co/transformers/v4.2.2/_modules/transformers/trainer_callback.html#EarlyStoppin
  • Network accessline 2611
    # Stop training after this many evaluation losses have increased in a row. https://huggi
  • Network accessline 2620
    use_tensorboard: bool | None # Enable the pytorch profiler to capture the first N steps of training to the # output_dir. see https://pytorch.org/blog/understanding-gpu-memory-1/ for more
  • Network accessline 2621
    # Enable the pytorch profiler to capture the first N steps of training to the # output_dir. see https://pytorch.org/blog/understanding-gpu-memory-1/ for more # information. Snapshots can be visualized @ https://pytorch.org/memory_viz
  • Network accessline 2622
    # output_dir. see https://pytorch.org/blog/understanding-gpu-memory-1/ for more
  • Network accessline 2623
    # information. Snapshots can be visualized @ https://pytorch.org/memory_viz
  • Network accessline 2631
    # throughput of non-padding tokens. include_tkps: bool | None = True # NEFT https://arxiv.org/abs/2310.05914, set this to a number (paper default is 5) to
  • Network accessline 2632
    include_tkps: bool | None = True # NEFT https://arxiv.org/abs/2310.05914, set this to a number (paper default is 5) to # add noise to embeddings. Currently only supported on Llama and Mistral
  • Network accessline 2633
    # NEFT https://arxiv.org/abs/2310.05914, set this to a number (paper default is 5) to
  • Network accessline 2717
    # Add plugins to extend the pipeline. See `src/axolotl/integrations` for the available # plugins or doc below for more details. # https://docs.axolotl.ai/docs/custom_integrations.html
  • Network accessline 2718
    # plugins or doc below for more details. # https://docs.axolotl.ai/docs/custom_integrations.html plugins: list[str] | None
  • Network accessline 2719
    # https://docs.axolotl.ai/docs/custom_integrations.html
  • Network accessline 2815
    # A list of token indices to fine-tune on the `embed_tokens` layer. Otherwise, a dict # mapping an embedding layer name to its trainable token indices. See # https://huggingface.co/docs/peft/v0.17.0/en/developer_guides/lora#efficiently-trai
  • Network accessline 2816
    # mapping an embedding layer name to its trainable token indices. See # https://huggingface.co/docs/peft/v0.17.0/en/developer_guides/lora#efficiently-train- # tokens-alongside-lora
  • Network accessline 2817
    # https://huggingface.co/docs/peft/v0.17.0/en/developer_guides/lora#efficiently-train-
  • Access to secretsline 2964
    [Credential-related source omitted]
  • Network accessline 3036
    **URL:** https://docs.axolotl.ai
  • Network accessline 3100
    title = {Axolotl: Open Source LLM Post-Training},   author = {{Axolotl maintainers and contributors}},   url = {https://github.com/axolotl-ai-cloud/axolotl},
  • Network accessline 3101
    author = {{Axolotl maintainers and contributors}},   url = {https://github.com/axolotl-ai-cloud/axolotl},   license = {Apache-2.0},
  • Network accessline 3102
    url = {https://github.com/axolotl-ai-cloud/axolotl},
  • Network accessline 3112
    **URL:** https://docs.axolotl.ai/docs/getting-started.html
  • Network accessline 3219
    **URL:** https://docs.axolotl.ai/docs/multipack.html
  • Network accessline 3291
    **URL:** https://docs.axolotl.ai/docs/batch_vs_grad.html
  • Network accessline 3351
    **URL:** https://docs.axolotl.ai/docs/debugging.html
  • Network accessline 3493
    **URL:** https://docs.axolotl.ai/docs/docker.html

optional-skills/mlops/training/unsloth/references/llms-full.md

  • Network accessline 5
    At [Unsloth](https://app.gitbook.com/o/HpyELzcNe0topgVLGCZY/s/xhOjnexMCB3dmuQFQ2Zq/), our mission is to make AI as accurate and accessible as possible. Train, run, evaluate and save gpt-oss, Llama, DeepSeek, TTS, Qwen, Mistral, Gemma LLMs 2
  • Network accessline 9
    <a href="beginner-start-here" class="button primary">Get started</a> <a href="https://github.com/unslothai/unsloth" class="button secondary">Our GitHub</a>
  • Network accessline 11
    [Credential-related source omitted]
  • Network accessline 14
    {% column %} {% content-ref url="fine-tuning-llms-guide" %} [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide)
  • Network accessline 15
    {% content-ref url="fine-tuning-llms-guide" %} [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide) {% endcontent-ref %}
  • Network accessline 16
    [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide)
  • Network accessline 19
    {% content-ref url="unsloth-notebooks" %} [unsloth-notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks)
  • Network accessline 20
    [unsloth-notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks)
  • Network accessline 25
    {% column %} {% content-ref url="all-our-models" %} [all-our-models](https://docs.unsloth.ai/get-started/all-our-models)
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    {% content-ref url="all-our-models" %} [all-our-models](https://docs.unsloth.ai/get-started/all-our-models) {% endcontent-ref %}
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    [all-our-models](https://docs.unsloth.ai/get-started/all-our-models)
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    {% content-ref url="../models/tutorials-how-to-fine-tune-and-run-llms" %} [tutorials-how-to-fine-tune-and-run-llms](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms)
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    [tutorials-how-to-fine-tune-and-run-llms](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms)
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    [Credential-related source omitted]
  • Network accessline 40
    * Unsloth streamlines model training locally and on Colab/Kaggle, covering loading, quantization, training, evaluation, saving, exporting, and integration with inference engines like Ollama, llama.cpp, and vLLM. * We directly collaborate wi
  • Network accessline 41
    * We directly collaborate with teams behind [gpt-oss](https://docs.unsloth.ai/new/gpt-oss-how-to-run-and-fine-tune#unsloth-fixes-for-gpt-oss), [Qwen3](https://www.reddit.com/r/LocalLLaMA/comments/1kaodxu/qwen3_unsloth_dynamic_ggufs_128k_con
  • Network accessline 42
    * Unsloth is the only training framework to support all model types:  [vision](https://docs.unsloth.ai/basics/vision-fine-tuning), [text-to-speech (TTS)](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning), BERT, [reinforcement l
  • Network accessline 46
    * Supports **full-finetuning**, pretraining, 4-bit, 16-bit and **8-bit** training. * The most efficient RL library, using 80% less VRAM. Supports GRPO, GSPO etc. * Supports **all models**: [TTS,](https://docs.unsloth.ai/basics/text-to-speec
  • Network accessline 47
    * The most efficient RL library, using 80% less VRAM. Supports GRPO, GSPO etc. * Supports **all models**: [TTS,](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning) multimodal, [BERT](https://docs.unsloth.ai/get-started/unsloth-n
  • Network accessline 48
    * Supports **all models**: [TTS,](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning) multimodal, [BERT](https://docs.unsloth.ai/get-started/unsloth-notebooks#other-important-notebooks) and more. Any model that works in transform
  • Network accessline 49
    * **0% loss in accuracy** - no approximation methods - all exact. * [MultiGPU](https://docs.unsloth.ai/basics/multi-gpu-training-with-unsloth) works already but a much better version is coming! * Unsloth supports Linux, Windows, Colab, Kagg
  • Network accessline 50
    * [MultiGPU](https://docs.unsloth.ai/basics/multi-gpu-training-with-unsloth) works already but a much better version is coming!
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    * Unsloth supports Linux, Windows, Colab, Kaggle, **NVIDIA** and [**AMD**](https://docs.unsloth.ai/new/fine-tuning-llms-on-amd-gpus-with-unsloth) & **Intel**. See:
  • Network accessline 53
    {% content-ref url="beginner-start-here/unsloth-requirements" %} [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
  • Network accessline 54
    [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
  • Network accessline 65
    Use our official **Docker image**: `unsloth/unsloth`. Read our [**Docker guide**](https://docs.unsloth.ai/get-started/install-and-update/docker)**.**
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    For Windows install instructions, see [here](https://docs.unsloth.ai/get-started/install-and-update/windows-installation).
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    {% content-ref url="install-and-update" %} [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
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    [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
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    [**Fine-tuning** an LLM](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide) customizes its behavior, enhances domain knowledge, and optimizes performance for specific tasks. By fine-tuning a pre-trained model (e.g. Llama-3.1-8B) on
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    [**Reinforcement Learning (RL)**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) is where an "agent" learns to make decisions by interacting with an environment and receiving **feedback** in the form of **rewards** or 
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    {% content-ref url="beginner-start-here/faq-+-is-fine-tuning-right-for-me" %} [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
  • Network accessline 96
    [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
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    {% content-ref url="reinforcement-learning-rl-guide" %} [reinforcement-learning-rl-guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide)
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    [reinforcement-learning-rl-guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide)
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    [Credential-related source omitted]
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    If you're a beginner, here might be the first questions you'll ask before your first fine-tune. You can also always ask our community by joining our [Reddit page](https://www.reddit.com/r/unsloth/).
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    [Credential-related source omitted]
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    * **Operating System**: Works on Linux and Windows. * Supports NVIDIA GPUs since 2018+ including [Blackwell RTX 50](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and [**DGX Spark**](https://docs.u
  • Network accessline 122
    * Supports NVIDIA GPUs since 2018+ including [Blackwell RTX 50](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and [**DGX Spark**](https://docs.unsloth.ai/basics/fine-tuning-llms-with-nvidia-dgx-sp
  • Network accessline 123
    Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20 & 50, A100, H100, L40 etc) [Check your GPU!](https://developer.nvidia.com/cuda-gpus) GTX 1070, 1080 works, but is slow.
  • Network accessline 124
    * The official [Unsloth Docker image](https://hub.docker.com/r/unsloth/unsloth) `unsloth/unsloth` is available on Docker Hub.
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    * Unsloth works on [AMD](https://docs.unsloth.ai/new/fine-tuning-llms-on-amd-gpus-with-unsloth) and [Intel](https://github.com/unslothai/unsloth/pull/2621) GPUs! Apple/Silicon/MLX is in the works.
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    **For context length benchmarks, see** [**here**](https://docs.unsloth.ai/basics/unsloth-benchmarks#context-length-benchmarks)**.**
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    **Not necessarily.** Many assume RAG will consistently outperform a fine-tuned model, but that’s not the case when fine-tuning is done properly. In fact, a well-tuned model often matches or even surpasses RAG-based systems on specialized ta
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    **Not at all!** While full fine-tuning or pretraining can be costly, these are not necessary (pretraining is especially not necessary). In most cases, LoRA or QLoRA fine-tuning can be done for minimal cost. In fact, with Unsloth’s [free not
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    We recommend starting with **QLoRA**, as it’s one of the most efficient and accessible methods available. Thanks to Unsloth’s [dynamic 4-bit](https://unsloth.ai/blog/dynamic-4bit) quants, the accuracy loss compared to standard 16-bit LoRA f
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    {% content-ref url="../fine-tuning-llms-guide/lora-hyperparameters-guide" %} [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
  • Network accessline 254
    [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
  • Network accessline 262
    Also see our GitHub repo for our notebooks: [github.com/unslothai/notebooks](https://github.com/unslothai/notebooks/)
  • Network accessline 270
    * [**gpt-oss (20b)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-Fine-tuning.ipynb) • [Inference](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/GPT_OSS_MXFP4_\(20B\)
  • Network accessline 271
    * [**DeepSeek-OCR**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb) **- new**
  • Network accessline 272
    * [Qwen3 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb) • [**Qwen3-VL (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL
  • Network accessline 273
    * [**Qwen3-2507-4B**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507) • [Thinking](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-Thinking.ipynb) • [Instruct](https://colab.r
  • Network accessline 274
    * [Gemma 3n (E4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb) • [Text](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversation
  • Network accessline 275
    * [IBM Granite-4.0-H](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) - new
  • Network accessline 276
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb) • [Text](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb) • [Vision](https://colab
  • Network accessline 277
    * [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb)&#x20;
  • Network accessline 278
    * [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-Alpaca.ipynb) • [Llama 3.2 (1B + 3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3
  • Network accessline 282
    * [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) (automatic kernels creation) - new
  • Network accessline 283
    * [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt_oss_\(20B\)_Reinforcement_Learning_2048_Game.ipynb) (auto win 2048 game) - new
  • Network accessline 284
    * [**Qwen3-VL (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision-GRPO.ipynb) - Vision **GSPO** - new
  • Network accessline 285
    * [Qwen3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) **-** Advanced GRPO LoRA
  • Network accessline 286
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision-GRPO.ipynb) - Vision GSPO - new
  • Network accessline 287
    * [**DeepSeek-R1-0528-Qwen3 (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/DeepSeek_R1_0528_Qwen3_\(8B\)_GRPO.ipynb) (for multilingual usecase)
  • Network accessline 288
    * [Gemma 3 (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(1B\)-GRPO.ipynb)
  • Network accessline 289
    * [Llama 3.2 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Advanced_Llama3_2_\(3B\)_GRPO_LoRA.ipynb) - Advanced GRPO LoRA
  • Network accessline 290
    * [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-GRPO.ipynb)
  • Network accessline 291
    * [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4_\(14B\)-GRPO.ipynb)&#x20;
  • Network accessline 292
    * [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-GRPO.ipynb)
  • Network accessline 296
    * [Sesame-CSM (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Sesame_CSM_\(1B\)-TTS.ipynb) - new
  • Network accessline 297
    * [Orpheus-TTS (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Orpheus_\(3B\)-TTS.ipynb)
  • Network accessline 298
    * [Whisper Large V3](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Whisper.ipynb) - Speech-to-Text (STT)
  • Network accessline 299
    * [Llasa-TTS (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llasa_TTS_\(1B\).ipynb)
  • Network accessline 300
    * [Spark-TTS (0.5B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Spark_TTS_\(0_5B\).ipynb)
  • Network accessline 301
    * [Oute-TTS (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Oute_TTS_\(1B\).ipynb)
  • Network accessline 305
    * [Whisper-Large-V3](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Whisper.ipynb)
  • Network accessline 306
    * [Gemma 3n (E4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Audio.ipynb) - Audio
  • Network accessline 310
    * [**Qwen3-VL (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision.ipynb) **- new**
  • Network accessline 311
    * [**DeepSeek-OCR**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb) **- new**
  • Network accessline 312
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision.ipynb) - vision
  • Network accessline 313
    * [Gemma 3n (E4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb) - vision
  • Network accessline 314
    * [Llama 3.2 Vision (11B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb)
  • Network accessline 315
    * [Qwen2.5-VL (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_VL_\(7B\)-Vision.ipynb)
  • Network accessline 316
    * [Pixtral (12B) 2409](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Pixtral_\(12B\)-Vision.ipynb)
  • Network accessline 317
    * [Qwen3-VL](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision-GRPO.ipynb) - Vision GSPO - new
  • Network accessline 318
    * [Qwen2.5-VL](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_5_7B_VL_GRPO.ipynb) - Vision GSPO
  • Network accessline 319
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision-GRPO.ipynb) - Vision GSPO - new
  • Network accessline 329
    * [gpt-oss-120b ](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(120B\)_A100-Fine-tuning.ipynb)- new
  • Network accessline 330
    * [Qwen3 (32B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(32B\)_A100-Reasoning-Conversational.ipynb) - new
  • Network accessline 331
    * [Llama 3.3 (70B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.3_\(70B\)_A100-Conversational.ipynb) - new
  • Network accessline 332
    * [Gemma 3 (27B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(27B\)_A100-Conversational.ipynb) - new
  • Network accessline 336
    * [**Customer support agent**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) **- new**
  • Network accessline 337
    * [**Automatic Kernel Creation**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) with RL **- new**
  • Network accessline 338
    * [**ModernBERT-large**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/bert_classification.ipynb) **- new** as of Aug 19
  • Network accessline 339
    * [**Synthetic Data Generation Llama 3.2 (3B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Meta_Synthetic_Data_Llama3_2_\(3B\).ipynb) - new
  • Network accessline 340
    * [**Tool Calling**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_Coder_\(1.5B\)-Tool_Calling.ipynb) **- new**
  • Network accessline 341
    * [**Customer support agent**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) **- new**
  • Network accessline 342
    * [Mistral v0.3 Instruct (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Conversational.ipynb)
  • Network accessline 343
    * [Ollama](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)
  • Network accessline 344
    * [ORPO](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-ORPO.ipynb)
  • Network accessline 345
    * [Continued Pretraining](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-CPT.ipynb)
  • Network accessline 346
    * [DPO Zephyr](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Zephyr_\(7B\)-DPO.ipynb)
  • Network accessline 347
    * [***Inference only***](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-Inference.ipynb)
  • Network accessline 348
    * [Llama 3 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Alpaca.ipynb)
  • Network accessline 352
    * [**Customer support agent**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) **- new**
  • Network accessline 353
    * [**Automatic Kernel Creation**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) with RL **- new**
  • Network accessline 354
    * [DPO Zephyr](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Zephyr_\(7B\)-DPO.ipynb)
  • Network accessline 355
    * [**BERT - Text Classification**](https://colab.research.google.com/github/timothelaborie/text_classification_scripts/blob/main/unsloth_classification.ipynb) **- new as of Aug 19**
  • Network accessline 356
    * [Ollama](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)
  • Network accessline 357
    * [**Tool Calling**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_Coder_\(1.5B\)-Tool_Calling.ipynb) **- new**
  • Network accessline 358
    * [Continued Pretraining (CPT)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-CPT.ipynb)
  • Network accessline 359
    * [Multiple Datasets](https://colab.research.google.com/drive/1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) by Flail
  • Network accessline 360
    * [KTO](https://colab.research.google.com/drive/1MRgGtLWuZX4ypSfGguFgC-IblTvO2ivM?usp=sharing) by Jeffrey
  • Network accessline 361
    * [Inference chat UI](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Unsloth_Studio.ipynb)
  • Network accessline 362
    * [Conversational](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
  • Network accessline 363
    * [ChatML](https://colab.research.google.com/drive/15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing)
  • Network accessline 364
    * [Text Completion](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_\(7B\)-Text_Completion.ipynb)
  • Network accessline 368
    * [Qwen2.5 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_\(3B\)-GRPO.ipynb)
  • Network accessline 369
    * [Gemma 2 (9B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma2_\(9B\)-Alpaca.ipynb)
  • Network accessline 370
    * [Mistral NeMo (12B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_Nemo_\(12B\)-Alpaca.ipynb)
  • Network accessline 371
    * [Phi-3.5 (mini)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_3.5_Mini-Conversational.ipynb)
  • Network accessline 372
    * [Phi-3 (medium)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_3_Medium-Conversational.ipynb)
  • Network accessline 373
    * [Gemma 2 (2B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma2_\(2B\)-Alpaca.ipynb)
  • Network accessline 374
    * [Qwen 2.5 Coder (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_Coder_\(14B\)-Conversational.ipynb)
  • Network accessline 375
    * [Mistral Small (22B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_Small_\(22B\)-Alpaca.ipynb)
  • Network accessline 376
    * [TinyLlama](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/TinyLlama_\(1.1B\)-Alpaca.ipynb)
  • Network accessline 377
    * [CodeGemma (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/CodeGemma_\(7B\)-Conversational.ipynb)
  • Network accessline 378
    * [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Alpaca.ipynb)
  • Network accessline 379
    * [Qwen2 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_\(7B\)-Alpaca.ipynb)
  • Network accessline 385
    * [**gpt-oss (20B)**](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-gpt-oss-\(20B\)-Fine-tuning.ipynb\&accelerator=nvidiaTeslaT4) **- new**
  • Network accessline 386
    * [Gemma 3n (E4B)](https://www.kaggle.com/code/danielhanchen/gemma-3n-4b-multimodal-finetuning-inference)
  • Network accessline 387
    * [Qwen3 (14B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen3_\(14B\).ipynb)
  • Network accessline 388
    * [Magistral-2509 (24B)](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Magistral_\(24B\)-Reasoning-Conversational.ipynb\&accelerator=nvidiaTeslaT4) - new
  • Network accessline 389
    * [Gemma 3 (4B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma3_\(4B\).ipynb)
  • Network accessline 390
    * [Phi-4 (14B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Phi_4-Conversational.ipynb)
  • Network accessline 391
    * [Llama 3.1 (8B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.1_\(8B\)-Alpaca.ipynb)
  • Network accessline 392
    * [Llama 3.2 (1B + 3B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
  • Network accessline 393
    * [Qwen 2.5 (7B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_\(7B\)-Alpaca.ipynb)
  • Network accessline 397
    * [**Qwen2.5-VL**](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Qwen2_5_7B_VL_GRPO.ipynb\&accelerator=nvidiaTeslaT4) - Vision GRPO - new
  • Network accessline 398
    * [Qwen3 (4B)](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Qwen3_\(4B\)-GRPO.ipynb\&accelerator=nvidiaTeslaT4)
  • Network accessline 399
    * [Gemma 3 (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma3_\(1B\)-GRPO.ipynb)
  • Network accessline 400
    * [Llama 3.1 (8B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.1_\(8B\)-GRPO.ipynb)
  • Network accessline 401
    * [Phi-4 (14B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Phi_4_\(14B\)-GRPO.ipynb)
  • Network accessline 402
    * [Qwen 2.5 (3B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_\(3B\)-GRPO.ipynb)
  • Network accessline 406
    * [Sesame-CSM (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Sesame_CSM_\(1B\)-TTS.ipynb)
  • Network accessline 407
    * [Orpheus-TTS (3B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Orpheus_\(3B\)-TTS.ipynb)
  • Network accessline 408
    * [Whisper Large V3](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Whisper.ipynb) – Speech-to-Text
  • Network accessline 409
    * [Llasa-TTS (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llasa_TTS_\(1B\).ipynb)
  • Network accessline 410
    * [Spark-TTS (0.5B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Spark_TTS_\(0_5B\).ipynb)
  • Network accessline 411
    * [Oute-TTS (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Oute_TTS_\(1B\).ipynb)
  • Network accessline 415
    * [Llama 3.2 Vision (11B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.2_\(11B\)-Vision.ipynb)
  • Network accessline 416
    * [Qwen 2.5-VL (7B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_VL_\(7B\)-Vision.ipynb)
  • Network accessline 417
    * [Pixtral (12B) 2409](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Pixtral_\(12B\)-Vision.ipynb)
  • Network accessline 421
    * [Tool Calling](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_Coder_\(1.5B\)-Tool_Calling.ipynb\&accelerator=nvidiaTeslaT4)
  • Network accessline 422
    * [ORPO](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3_\(8B\)-ORPO.ipynb)
  • Network accessline 423
    * [Continued Pretraining](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_v0.3_\(7B\)-CPT.ipynb)
  • Network accessline 424
    * [DPO Zephyr](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Zephyr_\(7B\)-DPO.ipynb)
  • Network accessline 425
    * [Inference only](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.1_\(8B\)-Inference.ipynb)
  • Network accessline 426
    * [Ollama](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3_\(8B\)-Ollama.ipynb)
  • Network accessline 427
    * [Text Completion](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_\(7B\)-Text_Completion.ipynb)
  • Network accessline 428
    * [CodeForces-cot (Reasoning)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-CodeForces-cot-Finetune_for_Reasoning_on_CodeForces.ipynb)
  • Network accessline 429
    * [Unsloth Studio (chat UI)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Unsloth_Studio.ipynb)
  • Network accessline 433
    * [Gemma 2 (9B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma2_\(9B\)-Alpaca.ipynb)
  • Network accessline 434
    * [Gemma 2 (2B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma2_\(2B\)-Alpaca.ipynb)
  • Network accessline 435
    * [CodeGemma (7B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-CodeGemma_\(7B\)-Conversational.ipynb)
  • Network accessline 436
    * [Mistral NeMo (12B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_Nemo_\(12B\)-Alpaca.ipynb)
  • Network accessline 437
    * [Mistral Small (22B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_Small_\(22B\)-Alpaca.ipynb)
  • Network accessline 438
    * [TinyLlama (1.1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-TinyLlama_\(1.1B\)-Alpaca.ipynb)
  • Network accessline 440
    To view a complete list of all our Kaggle notebooks, [click here](https://github.com/unslothai/notebooks#-kaggle-notebooks).
  • Network accessline 442
    {% hint style="info" %} Feel free to contribute to the notebooks by visiting our [repo](https://github.com/unslothai/notebooks)!
  • Network accessline 443
    Feel free to contribute to the notebooks by visiting our [repo](https://github.com/unslothai/notebooks)!
  • Network accessline 449
    Unsloth model catalog for all our [Dynamic](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) GGUF, 4-bit, 16-bit models on Hugging Face.
  • Network accessline 459
    | Model                                                                                      | Variant                | GGUF                                                                            | Instruct (4-bit)                      
  • Network accessline 460
    | ------------------------------------------------------------------------------------------ | ---------------------- | ------------------------------------------------------------------------------- | --------------------------------------
  • Network accessline 461
    | [**gpt-oss** ](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune)            | 120b                   | [link](https://huggingface.co/unsloth/gpt-oss-120b-GGUF)                        | [link](https://huggingface.co/unsloth/
  • Network accessline 462
    |                                                                                            | 20b                    | [link](https://huggingface.co/unsloth/gpt-oss-20b-GGUF)                         | [link](https://huggingface.co/unsloth/
  • Network accessline 463
    | [**DeepSeek-V3.1**](https://docs.unsloth.ai/models/deepseek-v3.1-how-to-run-locally)       | Terminus               | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)              | —                                     
  • Network accessline 464
    |                                                                                            | V3.1                   | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF)                       | —                                     
  • Network accessline 465
    | [**Qwen3-VL**](https://docs.unsloth.ai/models/qwen3-vl-how-to-run-and-fine-tune)           | 2B-Instruct            | [link](https://huggingface.co/unsloth/Qwen3-VL-2B-Instruct-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 466
    |                                                                                            | 2B-Thinking            | [link](https://huggingface.co/unsloth/Qwen3-VL-2B-Thinking-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 467
    |                                                                                            | 4B-Instruct            | [link](https://huggingface.co/unsloth/Qwen3-VL-4B-Instruct-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 468
    |                                                                                            | 4B-Thinking            | [link](https://huggingface.co/unsloth/Qwen3-VL-4B-Thinking-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 469
    |                                                                                            | 8B-Instruct            | [link](https://huggingface.co/unsloth/Qwen3-VL-8B-Instruct-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 470
    |                                                                                            | 8B-Thinking            | [link](https://huggingface.co/unsloth/Qwen3-VL-8B-Thinking-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 471
    |                                                                                            | 30B-A3B-Instruct       | [link](https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF)           | —                                     
  • Network accessline 472
    |                                                                                            | 30B-A3B-Thinking       | [link](https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Thinking-GGUF)           | —                                     
  • Network accessline 473
    |                                                                                            | 32B-Instruct           | [link](https://huggingface.co/unsloth/Qwen3-VL-32B-Instruct-GGUF)               | [link](https://huggingface.co/unsloth/
  • Network accessline 474
    |                                                                                            | 32B-Thinking           | [link](https://huggingface.co/unsloth/Qwen3-VL-32B-Thinking-GGUF)               | [link](https://huggingface.co/unsloth/
  • Network accessline 475
    |                                                                                            | 235B-A22B-Instruct     | [link](https://huggingface.co/unsloth/Qwen3-VL-235B-A22B-Instruct-GGUF)         | —                                     
  • Network accessline 476
    |                                                                                            | 235B-A22B-Thinking     | [link](https://huggingface.co/unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF)         | —                                     
  • Network accessline 477
    | [**Qwen3-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507) | 30B-A3B-Instruct       | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF)         | —                                     
  • Network accessline 478
    |                                                                                            | 30B-A3B-Thinking       | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF)         | —                                     
  • Network accessline 479
    |                                                                                            | 235B-A22B-Thinking     | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF/)      | —                                     
  • Network accessline 480
    |                                                                                            | 235B-A22B-Instruct     | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF/)      | —                                     
  • Network accessline 481
    | **Qwen3-Coder**                                                                            | 30B-A3B                | [link](https://huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF)        | —                                     
  • Network accessline 482
    |                                                                                            | 480B-A35B              | [link](https://huggingface.co/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF)      | —                                     
  • Network accessline 483
    | **Granite-4.0 (new)**                                                                      | H-Small                | [link](https://huggingface.co/unsloth/granite-4.0-h-small-GGUF)                 | [link](https://huggingface.co/unsloth/
  • Network accessline 484
    | **GLM (new)**                                                                              | 4.6                    | [link](https://huggingface.co/unsloth/GLM-4.6-GGUF)                             | —                                     
  • Network accessline 485
    |                                                                                            | 4.5-Air                | [link](https://huggingface.co/unsloth/GLM-4.5-Air-GGUF)                         | —                                     
  • Network accessline 486
    | **Kimi-K2-0905**                                                                           | 1T                     | [link](https://huggingface.co/unsloth/Kimi-K2-Instruct-0905-GGUF)               | —                                     
  • Network accessline 487
    | **Gemma 3n**                                                                               | E2B                    | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it-GGUF)                     | [link](https://huggingface.co/unsloth/
  • Network accessline 488
    |                                                                                            | E4B                    | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it-GGUF)                     | [link](https://huggingface.co/unsloth/
  • Network accessline 489
    | **DeepSeek-R1-0528**                                                                       | R1-0528-Qwen3-8B       | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF)           | [link](https://huggingface.co/unsloth/
  • Network accessline 490
    |                                                                                            | R1-0528                | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF)                    | —                                     
  • Network accessline 491
    | **Mistral**                                                                                | Magistral Small (2509) | [link](https://huggingface.co/unsloth/Magistral-Small-2509-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 492
    |                                                                                            | Magistral Small (2507) | [link](https://huggingface.co/unsloth/Magistral-Small-2507-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 493
    |                                                                                            | Small 3.2 24B (2506)   | [link](https://huggingface.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506-GGUF) | [link](https://huggingface.co/unsloth/
  • Network accessline 494
    | FLUX.1                                                                                     | Kontext-dev            | [link](https://huggingface.co/unsloth/FLUX.1-Kontext-dev-GGUF)                  | —                                     
  • Network accessline 495
    | **Qwen3**                                                                                  | 0.6 B                  | [link](https://huggingface.co/unsloth/Qwen3-0.6B-GGUF)                          | [link](https://huggingface.co/unsloth/
  • Network accessline 496
    |                                                                                            | 1.7 B                  | [link](https://huggingface.co/unsloth/Qwen3-1.7B-GGUF)                          | [link](https://huggingface.co/unsloth/
  • Network accessline 497
    |                                                                                            | 4 B                    | [link](https://huggingface.co/unsloth/Qwen3-4B-GGUF)                            | [link](https://huggingface.co/unsloth/
  • Network accessline 498
    |                                                                                            | 8 B                    | [link](https://huggingface.co/unsloth/Qwen3-8B-GGUF)                            | [link](https://huggingface.co/unsloth/
  • Network accessline 499
    |                                                                                            | 14 B                   | [link](https://huggingface.co/unsloth/Qwen3-14B-GGUF)                           | [link](https://huggingface.co/unsloth/
  • Network accessline 500
    |                                                                                            | 30B-A3B                | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF)                       | [link](https://huggingface.co/unsloth/
  • Network accessline 501
    |                                                                                            | 32 B                   | [link](https://huggingface.co/unsloth/Qwen3-32B-GGUF)                           | [link](https://huggingface.co/unsloth/
  • Network accessline 502
    |                                                                                            | 235B-A22B              | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-GGUF)                     | —                                     
  • Network accessline 503
    | **Llama 4**                                                                                | Scout 17B 16E          | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF)      | [link](https://huggingface.co/unsloth/
  • Network accessline 504
    |                                                                                            | Maverick 17B 128E      | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF)  | —                                     
  • Network accessline 505
    | **Grok 2**                                                                                 | 270B                   | [link](https://huggingface.co/unsloth/grok-2-GGUF)                              | —                                     
  • Network accessline 506
    | **Qwen-2.5 Omni**                                                                          | 3 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B-GGUF)                     | —                                     
  • Network accessline 507
    |                                                                                            | 7 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B-GGUF)                     | —                                     
  • Network accessline 508
    | **Phi-4**                                                                                  | Reasoning-plus         | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 509
    |                                                                                            | Reasoning              | [link](https://huggingface.co/unsloth/Phi-4-reasoning-GGUF)                     | [link](https://huggingface.co/unsloth/
  • Network accessline 513
    | Model             | Variant                | GGUF                                                                      | Instruct (4-bit)                                                                      | | ----------------- | -------
  • Network accessline 514
    | ----------------- | ---------------------- | ------------------------------------------------------------------------- | ------------------------------------------------------------------------------------- | | **DeepSeek-V3.1** | Terminu
  • Network accessline 515
    | **DeepSeek-V3.1** | Terminus               | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)        |                                                                                       |
  • Network accessline 516
    |                   | V3.1                   | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF)                 |                                                                                       |
  • Network accessline 517
    | **DeepSeek-V3**   | V3-0324                | [link](https://huggingface.co/unsloth/DeepSeek-V3-0324-GGUF)              | —                                                                                     |
  • Network accessline 518
    |                   | V3                     | [link](https://huggingface.co/unsloth/DeepSeek-V3-GGUF)                   | —                                                                                     |
  • Network accessline 519
    | **DeepSeek-R1**   | R1-0528                | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF)              | —                                                                                     |
  • Network accessline 520
    |                   | R1-0528-Qwen3-8B       | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF)     | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit)     |
  • Network accessline 521
    |                   | R1                     | [link](https://huggingface.co/unsloth/DeepSeek-R1-GGUF)                   | —                                                                                     |
  • Network accessline 522
    |                   | R1 Zero                | [link](https://huggingface.co/unsloth/DeepSeek-R1-Zero-GGUF)              | —                                                                                     |
  • Network accessline 523
    |                   | Distill Llama 3 8 B    | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF)  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit)  |
  • Network accessline 524
    |                   | Distill Llama 3.3 70 B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF) | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B-bnb-4bit)         |
  • Network accessline 525
    |                   | Distill Qwen 2.5 1.5 B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-1.5B-GGUF) | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-1.5B-unsloth-bnb-4bit) |
  • Network accessline 526
    |                   | Distill Qwen 2.5 7 B   | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B-GGUF)   | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit)   |
  • Network accessline 527
    |                   | Distill Qwen 2.5 14 B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF)  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B-unsloth-bnb-4bit)  |
  • Network accessline 528
    |                   | Distill Qwen 2.5 32 B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF)  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit)          |
  • Network accessline 532
    | Model         | Variant             | GGUF                                                                           | Instruct (4-bit)                                                                       | | ------------- | ------------
  • Network accessline 533
    | ------------- | ------------------- | ------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------- | | **Llama 4**   | Scout 17 B-1
  • Network accessline 534
    | **Llama 4**   | Scout 17 B-16 E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF)     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-unsloth-bnb-4bit) |
  • Network accessline 535
    |               | Maverick 17 B-128 E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF) | —                                                                                      |
  • Network accessline 536
    | **Llama 3.3** | 70 B                | [link](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-GGUF)             | [link](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-bnb-4bit)                 |
  • Network accessline 537
    | **Llama 3.2** | 1 B                 | [link](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-bnb-4bit)                  |
  • Network accessline 538
    |               | 3 B                 | [link](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-bnb-4bit)                  |
  • Network accessline 539
    |               | 11 B Vision         | —                                                                              | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct-unsloth-bnb-4bit)  |
  • Network accessline 540
    |               | 90 B Vision         | —                                                                              | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision-Instruct-bnb-4bit)          |
  • Network accessline 541
    | **Llama 3.1** | 8 B                 | [link](https://huggingface.co/unsloth/Llama-3.1-8B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)             |
  • Network accessline 542
    |               | 70 B                | —                                                                              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B-Instruct-bnb-4bit)            |
  • Network accessline 543
    |               | 405 B               | —                                                                              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-405B-Instruct-bnb-4bit)           |
  • Network accessline 544
    | **Llama 3**   | 8 B                 | —                                                                              | [link](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit)                    |
  • Network accessline 545
    |               | 70 B                | —                                                                              | [link](https://huggingface.co/unsloth/llama-3-70b-bnb-4bit)                            |
  • Network accessline 546
    | **Llama 2**   | 7 B                 | —                                                                              | [link](https://huggingface.co/unsloth/llama-2-7b-chat-bnb-4bit)                        |
  • Network accessline 547
    |               | 13 B                | —                                                                              | [link](https://huggingface.co/unsloth/llama-2-13b-bnb-4bit)                            |
  • Network accessline 548
    | **CodeLlama** | 7 B                 | —                                                                              | [link](https://huggingface.co/unsloth/codellama-7b-bnb-4bit)                           |
  • Network accessline 549
    |               | 13 B                | —                                                                              | [link](https://huggingface.co/unsloth/codellama-13b-bnb-4bit)                          |
  • Network accessline 550
    |               | 34 B                | —                                                                              | [link](https://huggingface.co/unsloth/codellama-34b-bnb-4bit)                          |
  • Network accessline 554
    | Model        | Variant       | GGUF                                                         | Instruct (4-bit)                                                             | | ------------ | ------------- | --------------------------------
  • Network accessline 555
    | ------------ | ------------- | ------------------------------------------------------------ | ---------------------------------------------------------------------------- | | **Gemma 3n** | E2B           | <U+200B>[link](https://huggingface.co/u
  • Network accessline 556
    | **Gemma 3n** | E2B           | <U+200B>[link](https://huggingface.co/unsloth/gemma-3n-E2B-it-GGUF) | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it-unsloth-bnb-4bit)      |
  • Possible obfuscationline 556
    | **Gemma 3n** | E2B           | <U+200B>[link](https://huggingface.co/unsloth/gemma-3n-E2B-it-GGUF) | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it-unsloth-bnb-4bit)      |
  • Network accessline 557
    |              | E4B           | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it-GGUF)  | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit)      |
  • Network accessline 558
    | **Gemma 3**  | 270M          | [link](https://huggingface.co/unsloth/gemma-3-270m-it-GGUF)  | [link](https://huggingface.co/unsloth/gemma-3-270m-it)                       |
  • Network accessline 559
    |              | 1 B           | [link](https://huggingface.co/unsloth/gemma-3-1b-it-GGUF)    | [link](https://huggingface.co/unsloth/gemma-3-1b-it-unsloth-bnb-4bit)        |
  • Network accessline 560
    |              | 4 B           | [link](https://huggingface.co/unsloth/gemma-3-4b-it-GGUF)    | [link](https://huggingface.co/unsloth/gemma-3-4b-it-unsloth-bnb-4bit)        |
  • Network accessline 561
    |              | 12 B          | [link](https://huggingface.co/unsloth/gemma-3-12b-it-GGUF)   | [link](https://huggingface.co/unsloth/gemma-3-12b-it-unsloth-bnb-4bit)       |
  • Network accessline 562
    |              | 27 B          | [link](https://huggingface.co/unsloth/gemma-3-27b-it-GGUF)   | [link](https://huggingface.co/unsloth/gemma-3-27b-it-unsloth-bnb-4bit)       |
  • Network accessline 563
    | **MedGemma** | 4 B (vision)  | [link](https://huggingface.co/unsloth/medgemma-4b-it-GGUF)   | [link](https://huggingface.co/unsloth/medgemma-4b-it-unsloth-bnb-4bit)       |
  • Network accessline 564
    |              | 27 B (vision) | [link](https://huggingface.co/unsloth/medgemma-27b-it-GGUF)  | [link](https://huggingface.co/unsloth/medgemma-27b-text-it-unsloth-bnb-4bit) |
  • Network accessline 565
    | **Gemma 2**  | 2 B           | [link](https://huggingface.co/unsloth/gemma-2-it-GGUF)       | [link](https://huggingface.co/unsloth/gemma-2-2b-it-bnb-4bit)                |
  • Network accessline 566
    |              | 9 B           | —                                                            | [link](https://huggingface.co/unsloth/gemma-2-9b-it-bnb-4bit)                |
  • Network accessline 567
    |              | 27 B          | —                                                            | [link](https://huggingface.co/unsloth/gemma-2-27b-it-bnb-4bit)               |
  • Network accessline 571
    | Model                      | Variant    | GGUF                                                                         | Instruct (4-bit)                                                                | | -------------------------- | ----
  • Network accessline 572
    | -------------------------- | ---------- | ---------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | | **Qwen 3**                 | 0.6 
  • Network accessline 573
    | **Qwen 3**                 | 0.6 B      | [link](https://huggingface.co/unsloth/Qwen3-0.6B-GGUF)                       | [link](https://huggingface.co/unsloth/Qwen3-0.6B-unsloth-bnb-4bit)              |
  • Network accessline 574
    |                            | 1.7 B      | [link](https://huggingface.co/unsloth/Qwen3-1.7B-GGUF)                       | [link](https://huggingface.co/unsloth/Qwen3-1.7B-unsloth-bnb-4bit)              |
  • Network accessline 575
    |                            | 4 B        | [link](https://huggingface.co/unsloth/Qwen3-4B-GGUF)                         | [link](https://huggingface.co/unsloth/Qwen3-4B-unsloth-bnb-4bit)                |
  • Network accessline 576
    |                            | 8 B        | [link](https://huggingface.co/unsloth/Qwen3-8B-GGUF)                         | [link](https://huggingface.co/unsloth/Qwen3-8B-unsloth-bnb-4bit)                |
  • Network accessline 577
    |                            | 14 B       | [link](https://huggingface.co/unsloth/Qwen3-14B-GGUF)                        | [link](https://huggingface.co/unsloth/Qwen3-14B-unsloth-bnb-4bit)               |
  • Network accessline 578
    |                            | 30 B-A3B   | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF)                    | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-bnb-4bit)                   |
  • Network accessline 579
    |                            | 32 B       | [link](https://huggingface.co/unsloth/Qwen3-32B-GGUF)                        | [link](https://huggingface.co/unsloth/Qwen3-32B-unsloth-bnb-4bit)               |
  • Network accessline 580
    |                            | 235 B-A22B | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-GGUF)                  | —                                                                               |
  • Network accessline 581
    | **Qwen 2.5 Omni**          | 3 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B-GGUF)                  | —                                                                               |
  • Network accessline 582
    |                            | 7 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B-GGUF)                  | —                                                                               |
  • Network accessline 583
    | **Qwen 2.5 VL**            | 3 B        | [link](https://huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct-GGUF)           | [link](https://huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct-unsloth-bnb-4bit)  |
  • Network accessline 584
    |                            | 7 B        | [link](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-GGUF)           | [link](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-unsloth-bnb-4bit)  |
  • Network accessline 585
    |                            | 32 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct-GGUF)          | [link](https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct-unsloth-bnb-4bit) |
  • Network accessline 586
    |                            | 72 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct-GGUF)          | [link](https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct-unsloth-bnb-4bit) |
  • Network accessline 587
    | **Qwen 2.5**               | 0.5 B      | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit)           |
  • Network accessline 588
    |                            | 1.5 B      | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit)           |
  • Network accessline 589
    |                            | 3 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct-bnb-4bit)             |
  • Network accessline 590
    |                            | 7 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-7B-Instruct-bnb-4bit)             |
  • Network accessline 591
    |                            | 14 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-14B-Instruct-bnb-4bit)            |
  • Network accessline 592
    |                            | 32 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-32B-Instruct-bnb-4bit)            |
  • Network accessline 593
    |                            | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-72B-Instruct-bnb-4bit)            |
  • Network accessline 594
    | **Qwen 2.5 Coder (128 K)** | 0.5 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-0.5B-Instruct-128K-GGUF) | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-0.5B-Instruct-bnb-4bit)     |
  • Network accessline 595
    |                            | 1.5 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-128K-GGUF) | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit)     |
  • Network accessline 596
    |                            | 3 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-3B-Instruct-128K-GGUF)   | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit)       |
  • Network accessline 597
    |                            | 7 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-128K-GGUF)   | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit)       |
  • Network accessline 598
    |                            | 14 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-14B-Instruct-128K-GGUF)  | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-14B-Instruct-bnb-4bit)      |
  • Network accessline 599
    |                            | 32 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-32B-Instruct-128K-GGUF)  | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-32B-Instruct-bnb-4bit)      |
  • Network accessline 600
    | **QwQ**                    | 32 B       | [link](https://huggingface.co/unsloth/QwQ-32B-GGUF)                          | [link](https://huggingface.co/unsloth/QwQ-32B-unsloth-bnb-4bit)                 |
  • Network accessline 601
    | **QVQ (preview)**          | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/QVQ-72B-Preview-bnb-4bit)                 |
  • Network accessline 602
    | **Qwen 2 (chat)**          | 1.5 B      | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-1.5B-Instruct-bnb-4bit)             |
  • Network accessline 603
    |                            | 7 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-7B-Instruct-bnb-4bit)               |
  • Network accessline 604
    |                            | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-72B-Instruct-bnb-4bit)              |
  • Network accessline 605
    | **Qwen 2 VL**              | 2 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit)    |
  • Network accessline 606
    |                            | 7 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-VL-7B-Instruct-unsloth-bnb-4bit)    |
  • Network accessline 607
    |                            | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-VL-72B-Instruct-bnb-4bit)           |
  • Network accessline 611
    <table><thead><tr><th width="174">Model</th><th>Variant</th><th>GGUF</th><th>Instruct (4-bit)</th></tr></thead><tbody><tr><td><strong>Mistral Small</strong></td><td>3.2-24 B (2506)</td><td><a href="https://huggingface.co/unsloth/Mistral-Sma
  • Network accessline 615
    | Model       | Variant          | GGUF                                                             | Instruct (4-bit)                                                             | | ----------- | ---------------- | ------------------------
  • Network accessline 616
    | ----------- | ---------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------- | | **Phi-4**   | Reasoning-plus   | [link](https://huggingfa
  • Network accessline 617
    | **Phi-4**   | Reasoning-plus   | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus-GGUF) | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus-unsloth-bnb-4bit) |
  • Network accessline 618
    |             | Reasoning        | [link](https://huggingface.co/unsloth/Phi-4-reasoning-GGUF)      | [link](https://huggingface.co/unsloth/phi-4-reasoning-unsloth-bnb-4bit)      |
  • Network accessline 619
    |             | Mini-Reasoning   | [link](https://huggingface.co/unsloth/Phi-4-mini-reasoning-GGUF) | [link](https://huggingface.co/unsloth/Phi-4-mini-reasoning-unsloth-bnb-4bit) |
  • Network accessline 620
    |             | Phi-4 (instruct) | [link](https://huggingface.co/unsloth/phi-4-GGUF)                | [link](https://huggingface.co/unsloth/phi-4-unsloth-bnb-4bit)                |
  • Network accessline 621
    |             | mini (instruct)  | [link](https://huggingface.co/unsloth/Phi-4-mini-instruct-GGUF)  | [link](https://huggingface.co/unsloth/Phi-4-mini-instruct-unsloth-bnb-4bit)  |
  • Network accessline 622
    | **Phi-3.5** | mini             | —                                                                | [link](https://huggingface.co/unsloth/Phi-3.5-mini-instruct-bnb-4bit)        |
  • Network accessline 623
    | **Phi-3**   | mini             | —                                                                | [link](https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-bnb-4bit)       |
  • Network accessline 624
    |             | medium           | —                                                                | [link](https://huggingface.co/unsloth/Phi-3-medium-4k-instruct-bnb-4bit)     |
  • Network accessline 628
    | Model          | Variant           | GGUF                                                                           | Instruct (4-bit)                                                          | | -------------- | ----------------- | -----
  • Network accessline 629
    | -------------- | ----------------- | ------------------------------------------------------------------------------ | ------------------------------------------------------------------------- | | GLM            | 4.5-Air           | [link
  • Network accessline 630
    | GLM            | 4.5-Air           | [link](https://huggingface.co/unsloth/GLM-4.5-Air-GGUF)                        |                                                                           |
  • Network accessline 631
    |                | 4.5               | [4.5](https://huggingface.co/unsloth/GLM-4.5-GGUF)                             |                                                                           |
  • Network accessline 632
    |                | 4-32B-0414        | [4-32B-0414](https://huggingface.co/unsloth/GLM-4-32B-0414-GGUF)               |                                                                           |
  • Network accessline 633
    | Hunyuan        | A13B              | [link](https://huggingface.co/unsloth/Hunyuan-A13B-Instruct-GGUF)              | —                                                                         |
  • Network accessline 634
    | Orpheus        | 0.1-ft (3B)       | [link](https://app.gitbook.com/o/HpyELzcNe0topgVLGCZY/s/xhOjnexMCB3dmuQFQ2Zq/) | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-ft-unsloth-bnb-4bit) |
  • Network accessline 635
    | **LLava**      | 1.5 (7 B)         | —                                                                              | [link](https://huggingface.co/unsloth/llava-1.5-7b-hf-bnb-4bit)           |
  • Network accessline 636
    |                | 1.6 Mistral (7 B) | —                                                                              | [link](https://huggingface.co/unsloth/llava-v1.6-mistral-7b-hf-bnb-4bit)  |
  • Network accessline 637
    | **TinyLlama**  | Chat              | —                                                                              | [link](https://huggingface.co/unsloth/tinyllama-chat-bnb-4bit)            |
  • Network accessline 638
    | **SmolLM 2**   | 135 M             | [link](https://huggingface.co/unsloth/SmolLM2-135M-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/SmolLM2-135M-Instruct-bnb-4bit)     |
  • Network accessline 639
    |                | 360 M             | [link](https://huggingface.co/unsloth/SmolLM2-360M-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/SmolLM2-360M-Instruct-bnb-4bit)     |
  • Network accessline 640
    |                | 1.7 B             | [link](https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct-bnb-4bit)     |
  • Network accessline 641
    | **Zephyr-SFT** | 7 B               | —                                                                              | [link](https://huggingface.co/unsloth/zephyr-sft-bnb-4bit)                |
  • Network accessline 642
    | **Yi**         | 6 B (v1.5)        | —                                                                              | [link](https://huggingface.co/unsloth/Yi-1.5-6B-bnb-4bit)                 |
  • Network accessline 643
    |                | 6 B (v1.0)        | —                                                                              | [link](https://huggingface.co/unsloth/yi-6b-bnb-4bit)                     |
  • Network accessline 644
    |                | 34 B (chat)       | —                                                                              | [link](https://huggingface.co/unsloth/yi-34b-chat-bnb-4bit)               |
  • Network accessline 645
    |                | 34 B (base)       | —                                                                              | [link](https://huggingface.co/unsloth/yi-34b-bnb-4bit)                    |
  • Network accessline 653
    | Model                | Variant                | Instruct (16-bit)                                                          | | -------------------- | ---------------------- | ---------------------------------------------------------------
  • Network accessline 654
    | -------------------- | ---------------------- | -------------------------------------------------------------------------- | | **gpt-oss** (new)    | 20b                    | [link](https://huggingface.co/unsloth/gpt-oss-20b)             
  • Network accessline 655
    | **gpt-oss** (new)    | 20b                    | [link](https://huggingface.co/unsloth/gpt-oss-20b)                         |
  • Network accessline 656
    |                      | 120b                   | [link](https://huggingface.co/unsloth/gpt-oss-120b)                        |
  • Network accessline 657
    | **Gemma 3n**         | E2B                    | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it)                     |
  • Network accessline 658
    |                      | E4B                    | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it)                     |
  • Network accessline 659
    | **DeepSeek-R1-0528** | R1-0528-Qwen3-8B       | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B)           |
  • Network accessline 660
    |                      | R1-0528                | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528)                    |
  • Network accessline 661
    | **Mistral**          | Small 3.2 24B (2506)   | [link](https://huggingface.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506) |
  • Network accessline 662
    |                      | Small 3.1 24B (2503)   | [link](https://huggingface.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503) |
  • Network accessline 663
    |                      | Small 3.0 24B (2501)   | [link](https://huggingface.co/unsloth/Mistral-Small-24B-Instruct-2501)     |
  • Network accessline 664
    |                      | Magistral Small (2506) | [link](https://huggingface.co/unsloth/Magistral-Small-2506)                |
  • Network accessline 665
    | **Qwen 3**           | 0.6 B                  | [link](https://huggingface.co/unsloth/Qwen3-0.6B)                          |
  • Network accessline 666
    |                      | 1.7 B                  | [link](https://huggingface.co/unsloth/Qwen3-1.7B)                          |
  • Network accessline 667
    |                      | 4 B                    | [link](https://huggingface.co/unsloth/Qwen3-4B)                            |
  • Network accessline 668
    |                      | 8 B                    | [link](https://huggingface.co/unsloth/Qwen3-8B)                            |
  • Network accessline 669
    |                      | 14 B                   | [link](https://huggingface.co/unsloth/Qwen3-14B)                           |
  • Network accessline 670
    |                      | 30B-A3B                | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B)                       |
  • Network accessline 671
    |                      | 32 B                   | [link](https://huggingface.co/unsloth/Qwen3-32B)                           |
  • Network accessline 672
    |                      | 235B-A22B              | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B)                     |
  • Network accessline 673
    | **Llama 4**          | Scout 17B-16E          | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct)      |
  • Network accessline 674
    |                      | Maverick 17B-128E      | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct)  |
  • Network accessline 675
    | **Qwen 2.5 Omni**    | 3 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B)                     |
  • Network accessline 676
    |                      | 7 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B)                     |
  • Network accessline 677
    | **Phi-4**            | Reasoning-plus         | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus)                |
  • Network accessline 678
    |                      | Reasoning              | [link](https://huggingface.co/unsloth/Phi-4-reasoning)                     |
  • Network accessline 682
    | Model           | Variant               | Instruct (16-bit)                                                    | | --------------- | --------------------- | -------------------------------------------------------------------- | | **DeepSe
  • Network accessline 683
    | --------------- | --------------------- | -------------------------------------------------------------------- | | **DeepSeek-V3** | V3-0324               | [link](https://huggingface.co/unsloth/DeepSeek-V3-0324)              | |         
  • Network accessline 684
    | **DeepSeek-V3** | V3-0324               | [link](https://huggingface.co/unsloth/DeepSeek-V3-0324)              |
  • Network accessline 685
    |                 | V3                    | [link](https://huggingface.co/unsloth/DeepSeek-V3)                   |
  • Network accessline 686
    | **DeepSeek-R1** | R1-0528               | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528)              |
  • Network accessline 687
    |                 | R1-0528-Qwen3-8B      | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B)     |
  • Network accessline 688
    |                 | R1                    | [link](https://huggingface.co/unsloth/DeepSeek-R1)                   |
  • Network accessline 689
    |                 | R1 Zero               | [link](https://huggingface.co/unsloth/DeepSeek-R1-Zero)              |
  • Network accessline 690
    |                 | Distill Llama 3 8B    | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B)  |
  • Network accessline 691
    |                 | Distill Llama 3.3 70B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B) |
  • Network accessline 692
    |                 | Distill Qwen 2.5 1.5B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-1.5B) |
  • Network accessline 693
    |                 | Distill Qwen 2.5 7B   | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B)   |
  • Network accessline 694
    |                 | Distill Qwen 2.5 14B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B)  |
  • Network accessline 695
    |                 | Distill Qwen 2.5 32B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-32B)  |
  • Network accessline 699
    | Family        | Variant           | Instruct (16-bit)                                                         | | ------------- | ----------------- | ------------------------------------------------------------------------- | | **Llama 4*
  • Network accessline 700
    | ------------- | ----------------- | ------------------------------------------------------------------------- | | **Llama 4**   | Scout 17B-16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct)     | |           
  • Network accessline 701
    | **Llama 4**   | Scout 17B-16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct)     |
  • Network accessline 702
    |               | Maverick 17B-128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct) |
  • Network accessline 703
    | **Llama 3.3** | 70 B              | [link](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct)             |
  • Network accessline 704
    | **Llama 3.2** | 1 B               | [link](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct)              |
  • Network accessline 705
    |               | 3 B               | [link](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct)              |
  • Network accessline 706
    |               | 11 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct)      |
  • Network accessline 707
    |               | 90 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision-Instruct)      |
  • Network accessline 708
    | **Llama 3.1** | 8 B               | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct)         |
  • Network accessline 709
    |               | 70 B              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B-Instruct)        |
  • Network accessline 710
    |               | 405 B             | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-405B-Instruct)       |
  • Network accessline 711
    | **Llama 3**   | 8 B               | [link](https://huggingface.co/unsloth/llama-3-8b-Instruct)                |
  • Network accessline 712
    |               | 70 B              | [link](https://huggingface.co/unsloth/llama-3-70b-Instruct)               |
  • Network accessline 713
    | **Llama 2**   | 7 B               | [link](https://huggingface.co/unsloth/llama-2-7b-chat)                    |
  • Network accessline 717
    | Model        | Variant | Instruct (16-bit)                                      | | ------------ | ------- | ------------------------------------------------------ | | **Gemma 3n** | E2B     | [link](https://huggingface.co/unsloth/gemma-3
  • Network accessline 718
    | ------------ | ------- | ------------------------------------------------------ | | **Gemma 3n** | E2B     | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it) | |              | E4B     | [link](https://huggingface.co/unsloth/gemma-3
  • Network accessline 719
    | **Gemma 3n** | E2B     | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it) |
  • Network accessline 720
    |              | E4B     | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it) |
  • Network accessline 721
    | **Gemma 3**  | 1 B     | [link](https://huggingface.co/unsloth/gemma-3-1b-it)   |
  • Network accessline 722
    |              | 4 B     | [link](https://huggingface.co/unsloth/gemma-3-4b-it)   |
  • Network accessline 723
    |              | 12 B    | [link](https://huggingface.co/unsloth/gemma-3-12b-it)  |
  • Network accessline 724
    |              | 27 B    | [link](https://huggingface.co/unsloth/gemma-3-27b-it)  |
  • Network accessline 725
    | **Gemma 2**  | 2 B     | [link](https://huggingface.co/unsloth/gemma-2b-it)     |
  • Network accessline 726
    |              | 9 B     | [link](https://huggingface.co/unsloth/gemma-9b-it)     |
  • Network accessline 727
    |              | 27 B    | [link](https://huggingface.co/unsloth/gemma-27b-it)    |
  • Network accessline 731
    | Family                   | Variant   | Instruct (16-bit)                                                       | | ------------------------ | --------- | ----------------------------------------------------------------------- | | **Qwen 3
  • Network accessline 732
    | ------------------------ | --------- | ----------------------------------------------------------------------- | | **Qwen 3**               | 0.6 B     | [link](https://huggingface.co/unsloth/Qwen3-0.6B)                       | |         
  • Network accessline 733
    | **Qwen 3**               | 0.6 B     | [link](https://huggingface.co/unsloth/Qwen3-0.6B)                       |
  • Network accessline 734
    |                          | 1.7 B     | [link](https://huggingface.co/unsloth/Qwen3-1.7B)                       |
  • Network accessline 735
    |                          | 4 B       | [link](https://huggingface.co/unsloth/Qwen3-4B)                         |
  • Network accessline 736
    |                          | 8 B       | [link](https://huggingface.co/unsloth/Qwen3-8B)                         |
  • Network accessline 737
    |                          | 14 B      | [link](https://huggingface.co/unsloth/Qwen3-14B)                        |
  • Network accessline 738
    |                          | 30B-A3B   | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B)                    |
  • Network accessline 739
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen3-32B)                        |
  • Network accessline 740
    |                          | 235B-A22B | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B)                  |
  • Network accessline 741
    | **Qwen 2.5 Omni**        | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B)                  |
  • Network accessline 742
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B)                  |
  • Network accessline 743
    | **Qwen 2.5 VL**          | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct)           |
  • Network accessline 744
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct)           |
  • Network accessline 745
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct)          |
  • Network accessline 746
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct)          |
  • Network accessline 747
    | **Qwen 2.5**             | 0.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct)            |
  • Network accessline 748
    |                          | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct)            |
  • Network accessline 749
    |                          | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct)              |
  • Network accessline 750
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-7B-Instruct)              |
  • Network accessline 751
    |                          | 14 B      | [link](https://huggingface.co/unsloth/Qwen2.5-14B-Instruct)             |
  • Network accessline 752
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen2.5-32B-Instruct)             |
  • Network accessline 753
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2.5-72B-Instruct)             |
  • Network accessline 754
    | **Qwen 2.5 Coder 128 K** | 0.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-0.5B-Instruct-128K) |
  • Network accessline 755
    |                          | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-128K) |
  • Network accessline 756
    |                          | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-3B-Instruct-128K)   |
  • Network accessline 757
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-128K)   |
  • Network accessline 758
    |                          | 14 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-14B-Instruct-128K)  |
  • Network accessline 759
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-32B-Instruct-128K)  |
  • Network accessline 760
    | **QwQ**                  | 32 B      | [link](https://huggingface.co/unsloth/QwQ-32B)                          |
  • Network accessline 761
    | **QVQ (preview)**        | 72 B      | —                                                                       | | **Qwen 2 (Chat)**        | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2-1.5B-Instruct)              | |         
  • Network accessline 762
    | **Qwen 2 (Chat)**        | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2-1.5B-Instruct)              |
  • Network accessline 763
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2-7B-Instruct)                |
  • Network accessline 764
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2-72B-Instruct)               |
  • Network accessline 765
    | **Qwen 2 VL**            | 2 B       | [link](https://huggingface.co/unsloth/Qwen2-VL-2B-Instruct)             |
  • Network accessline 766
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2-VL-7B-Instruct)             |
  • Network accessline 767
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2-VL-72B-Instruct)            |
  • Network accessline 771
    | Model            | Variant        | Instruct (16-bit)                                                  | | ---------------- | -------------- | ------------------------------------------------------------------ | | **Mistral**      | Small
  • Network accessline 772
    | ---------------- | -------------- | ------------------------------------------------------------------ | | **Mistral**      | Small 2409-22B | [link](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) | | **Mistral**      | Large
  • Network accessline 773
    | **Mistral**      | Small 2409-22B | [link](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) |
  • Network accessline 774
    | **Mistral**      | Large 2407     | [link](https://huggingface.co/unsloth/Mistral-Large-Instruct-2407) |
  • Network accessline 775
    | **Mistral**      | 7B v0.3        | [link](https://huggingface.co/unsloth/mistral-7b-instruct-v0.3)    |
  • Network accessline 776
    | **Mistral**      | 7B v0.2        | [link](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2)    |
  • Network accessline 777
    | **Pixtral**      | 12B 2409       | [link](https://huggingface.co/unsloth/Pixtral-12B-2409)            |
  • Network accessline 778
    | **Mixtral**      | 8×7B           | [link](https://huggingface.co/unsloth/Mixtral-8x7B-Instruct-v0.1)  |
  • Network accessline 779
    | **Mistral NeMo** | 12B 2407       | [link](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407)  |
  • Network accessline 780
    | **Devstral**     | Small 2505     | [link](https://huggingface.co/unsloth/Devstral-Small-2505)         |
  • Network accessline 784
    | Model       | Variant        | Instruct (16-bit)                                               | | ----------- | -------------- | --------------------------------------------------------------- | | **Phi-4**   | Reasoning-plus | [link](ht
  • Network accessline 785
    | ----------- | -------------- | --------------------------------------------------------------- | | **Phi-4**   | Reasoning-plus | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus)     | |             | Reasoning      | [link](ht
  • Network accessline 786
    | **Phi-4**   | Reasoning-plus | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus)     |
  • Network accessline 787
    |             | Reasoning      | [link](https://huggingface.co/unsloth/Phi-4-reasoning)          |
  • Network accessline 788
    |             | Phi-4 (core)   | [link](https://huggingface.co/unsloth/Phi-4)                    |
  • Network accessline 789
    |             | Mini-Reasoning | [link](https://huggingface.co/unsloth/Phi-4-mini-reasoning)     |
  • Network accessline 790
    |             | Mini           | [link](https://huggingface.co/unsloth/Phi-4-mini)               |
  • Network accessline 791
    | **Phi-3.5** | Mini           | [link](https://huggingface.co/unsloth/Phi-3.5-mini-instruct)    |
  • Network accessline 792
    | **Phi-3**   | Mini           | [link](https://huggingface.co/unsloth/Phi-3-mini-4k-instruct)   |
  • Network accessline 793
    |             | Medium         | [link](https://huggingface.co/unsloth/Phi-3-medium-4k-instruct) |
  • Network accessline 797
    | Model                  | Instruct (16-bit)                                                | | ---------------------- | ---------------------------------------------------------------- | | Orpheus-3B (v0.1 ft)   | [link](https://huggingfac
  • Network accessline 798
    | ---------------------- | ---------------------------------------------------------------- | | Orpheus-3B (v0.1 ft)   | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-ft)         | | Orpheus-3B (v0.1 pt)   | [link](https://huggingfac
  • Network accessline 799
    | Orpheus-3B (v0.1 ft)   | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-ft)         |
  • Network accessline 800
    | Orpheus-3B (v0.1 pt)   | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-pretrained) |
  • Network accessline 801
    | Sesame-CSM 1B          | [link](https://huggingface.co/unsloth/csm-1b)                    |
  • Network accessline 802
    | Whisper Large V3 (STT) | [link](https://huggingface.co/unsloth/whisper-large-v3)          |
  • Network accessline 803
    | Llasa-TTS 1B           | [link](https://huggingface.co/unsloth/Llasa-1B)                  |
  • Network accessline 804
    | Spark-TTS 0.5B         | [link](https://huggingface.co/unsloth/Spark-TTS-0.5B)            |
  • Network accessline 805
    | Oute-TTS 1B            | [link](https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B)      |
  • Network accessline 813
    | Model        | Variant           | Base (16-bit)                                                    | Base (4-bit)                                                                           | | ------------ | ----------------- | ----------
  • Network accessline 814
    | ------------ | ----------------- | ---------------------------------------------------------------- | -------------------------------------------------------------------------------------- | | **Gemma 3n** | E2B               | [link](htt
  • Network accessline 815
    | **Gemma 3n** | E2B               | [link](https://huggingface.co/unsloth/gemma-3n-E2B)              | [link](https://huggingface.co/unsloth/gemma-3n-E2B-unsloth-bnb-4bit)                   |
  • Network accessline 816
    |              | E4B               | [link](https://huggingface.co/unsloth/gemma-3n-E4B)              | [link](https://huggingface.co/unsloth/gemma-3n-E4B-unsloth-bnb-4bit)                   |
  • Network accessline 817
    | **Qwen 3**   | 0.6 B             | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base)           | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base-unsloth-bnb-4bit)                |
  • Network accessline 818
    |              | 1.7 B             | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base)           | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base-unsloth-bnb-4bit)                |
  • Network accessline 819
    |              | 4 B               | [link](https://huggingface.co/unsloth/Qwen3-4B-Base)             | [link](https://huggingface.co/unsloth/Qwen3-4B-Base-unsloth-bnb-4bit)                  |
  • Network accessline 820
    |              | 8 B               | [link](https://huggingface.co/unsloth/Qwen3-8B-Base)             | [link](https://huggingface.co/unsloth/Qwen3-8B-Base-unsloth-bnb-4bit)                  |
  • Network accessline 821
    |              | 14 B              | [link](https://huggingface.co/unsloth/Qwen3-14B-Base)            | [link](https://huggingface.co/unsloth/Qwen3-14B-Base-unsloth-bnb-4bit)                 |
  • Network accessline 822
    |              | 30B-A3B           | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base)        | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base-bnb-4bit)                     |
  • Network accessline 823
    | **Llama 4**  | Scout 17B 16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E)     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-unsloth-bnb-4bit) |
  • Network accessline 824
    |              | Maverick 17B 128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E) | —                                                                                      |
  • Network accessline 828
    | Model         | Variant           | Base (16-bit)                                                    | Base (4-bit)                                                | | ------------- | ----------------- | -----------------------------------
  • Network accessline 829
    | ------------- | ----------------- | ---------------------------------------------------------------- | ----------------------------------------------------------- | | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unslo
  • Network accessline 830
    | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E)     | —                                                           |
  • Network accessline 831
    |               | Maverick 17B 128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E) | —                                                           |
  • Network accessline 832
    | **Llama 3.3** | 70 B              | [link](https://huggingface.co/unsloth/Llama-3.3-70B)             | —                                                           |
  • Network accessline 833
    | **Llama 3.2** | 1 B               | [link](https://huggingface.co/unsloth/Llama-3.2-1B)              | —                                                           |
  • Network accessline 834
    |               | 3 B               | [link](https://huggingface.co/unsloth/Llama-3.2-3B)              | —                                                           |
  • Network accessline 835
    |               | 11 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision)      | —                                                           |
  • Network accessline 836
    |               | 90 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision)      | —                                                           |
  • Network accessline 837
    | **Llama 3.1** | 8 B               | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B)         | —                                                           |
  • Network accessline 838
    |               | 70 B              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B)        | —                                                           |
  • Network accessline 839
    | **Llama 3**   | 8 B               | [link](https://huggingface.co/unsloth/llama-3-8b)                | [link](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit)  |
  • Network accessline 840
    | **Llama 2**   | 7 B               | [link](https://huggingface.co/unsloth/llama-2-7b)                | [link](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit)  |
  • Network accessline 841
    |               | 13 B              | [link](https://huggingface.co/unsloth/llama-2-13b)               | [link](https://huggingface.co/unsloth/llama-2-13b-bnb-4bit) |
  • Network accessline 845
    | Model        | Variant | Base (16-bit)                                             | Base (4-bit)                                                               | | ------------ | ------- | -------------------------------------------------
  • Network accessline 846
    | ------------ | ------- | --------------------------------------------------------- | -------------------------------------------------------------------------- | | **Qwen 3**   | 0.6 B   | [link](https://huggingface.co/unsloth/Qwen3-0.6B-
  • Network accessline 847
    | **Qwen 3**   | 0.6 B   | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base)    | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base-unsloth-bnb-4bit)    |
  • Network accessline 848
    |              | 1.7 B   | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base)    | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base-unsloth-bnb-4bit)    |
  • Network accessline 849
    |              | 4 B     | [link](https://huggingface.co/unsloth/Qwen3-4B-Base)      | [link](https://huggingface.co/unsloth/Qwen3-4B-Base-unsloth-bnb-4bit)      |
  • Network accessline 850
    |              | 8 B     | [link](https://huggingface.co/unsloth/Qwen3-8B-Base)      | [link](https://huggingface.co/unsloth/Qwen3-8B-Base-unsloth-bnb-4bit)      |
  • Network accessline 851
    |              | 14 B    | [link](https://huggingface.co/unsloth/Qwen3-14B-Base)     | [link](https://huggingface.co/unsloth/Qwen3-14B-Base-unsloth-bnb-4bit)     |
  • Network accessline 852
    |              | 30B-A3B | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base) | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base-unsloth-bnb-4bit) |
  • Network accessline 853
    | **Qwen 2.5** | 0.5 B   | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B)       | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B-bnb-4bit)               |
  • Network accessline 854
    |              | 1.5 B   | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B)       | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B-bnb-4bit)               |
  • Network accessline 855
    |              | 3 B     | [link](https://huggingface.co/unsloth/Qwen2.5-3B)         | [link](https://huggingface.co/unsloth/Qwen2.5-3B-bnb-4bit)                 |
  • Network accessline 856
    |              | 7 B     | [link](https://huggingface.co/unsloth/Qwen2.5-7B)         | [link](https://huggingface.co/unsloth/Qwen2.5-7B-bnb-4bit)                 |
  • Network accessline 857
    |              | 14 B    | [link](https://huggingface.co/unsloth/Qwen2.5-14B)        | [link](https://huggingface.co/unsloth/Qwen2.5-14B-bnb-4bit)                |
  • Network accessline 858
    |              | 32 B    | [link](https://huggingface.co/unsloth/Qwen2.5-32B)        | [link](https://huggingface.co/unsloth/Qwen2.5-32B-bnb-4bit)                |
  • Network accessline 859
    |              | 72 B    | [link](https://huggingface.co/unsloth/Qwen2.5-72B)        | [link](https://huggingface.co/unsloth/Qwen2.5-72B-bnb-4bit)                |
  • Network accessline 860
    | **Qwen 2**   | 1.5 B   | [link](https://huggingface.co/unsloth/Qwen2-1.5B)         | [link](https://huggingface.co/unsloth/Qwen2-1.5B-bnb-4bit)                 |
  • Network accessline 861
    |              | 7 B     | [link](https://huggingface.co/unsloth/Qwen2-7B)           | [link](https://huggingface.co/unsloth/Qwen2-7B-bnb-4bit)                   |
  • Network accessline 865
    | Model         | Variant           | Base (16-bit)                                                    | Base (4-bit)                                                | | ------------- | ----------------- | -----------------------------------
  • Network accessline 866
    | ------------- | ----------------- | ---------------------------------------------------------------- | ----------------------------------------------------------- | | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unslo
  • Network accessline 867
    | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E)     | —                                                           |
  • Network accessline 868
    |               | Maverick 17B 128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E) | —                                                           |
  • Network accessline 869
    | **Llama 3.3** | 70 B              | [link](https://huggingface.co/unsloth/Llama-3.3-70B)             | —                                                           |
  • Network accessline 870
    | **Llama 3.2** | 1 B               | [link](https://huggingface.co/unsloth/Llama-3.2-1B)              | —                                                           |
  • Network accessline 871
    |               | 3 B               | [link](https://huggingface.co/unsloth/Llama-3.2-3B)              | —                                                           |
  • Network accessline 872
    |               | 11 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision)      | —                                                           |
  • Network accessline 873
    |               | 90 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision)      | —                                                           |
  • Network accessline 874
    | **Llama 3.1** | 8 B               | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B)         | —                                                           |
  • Network accessline 875
    |               | 70 B              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B)        | —                                                           |
  • Network accessline 876
    | **Llama 3**   | 8 B               | [link](https://huggingface.co/unsloth/llama-3-8b)                | [link](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit)  |
  • Network accessline 877
    | **Llama 2**   | 7 B               | [link](https://huggingface.co/unsloth/llama-2-7b)                | [link](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit)  |
  • Network accessline 878
    |               | 13 B              | [link](https://huggingface.co/unsloth/llama-2-13b)               | [link](https://huggingface.co/unsloth/llama-2-13b-bnb-4bit) |
  • Network accessline 882
    | Model       | Variant | Base (16-bit)                                         | Base (4-bit)                                                           | | ----------- | ------- | ----------------------------------------------------- | ---
  • Network accessline 883
    | ----------- | ------- | ----------------------------------------------------- | ---------------------------------------------------------------------- | | **Gemma 3** | 1 B     | [link](https://huggingface.co/unsloth/gemma-3-1b-pt)  | [li
  • Network accessline 884
    | **Gemma 3** | 1 B     | [link](https://huggingface.co/unsloth/gemma-3-1b-pt)  | [link](https://huggingface.co/unsloth/gemma-3-1b-pt-unsloth-bnb-4bit)  |
  • Network accessline 885
    |             | 4 B     | [link](https://huggingface.co/unsloth/gemma-3-4b-pt)  | [link](https://huggingface.co/unsloth/gemma-3-4b-pt-unsloth-bnb-4bit)  |
  • Network accessline 886
    |             | 12 B    | [link](https://huggingface.co/unsloth/gemma-3-12b-pt) | [link](https://huggingface.co/unsloth/gemma-3-12b-pt-unsloth-bnb-4bit) |
  • Network accessline 887
    |             | 27 B    | [link](https://huggingface.co/unsloth/gemma-3-27b-pt) | [link](https://huggingface.co/unsloth/gemma-3-27b-pt-unsloth-bnb-4bit) |
  • Network accessline 888
    | **Gemma 2** | 2 B     | [link](https://huggingface.co/unsloth/gemma-2-2b)     | —                                                                      |
  • Network accessline 889
    |             | 9 B     | [link](https://huggingface.co/unsloth/gemma-2-9b)     | —                                                                      |
  • Network accessline 890
    |             | 27 B    | [link](https://huggingface.co/unsloth/gemma-2-27b)    | —                                                                      |
  • Network accessline 894
    | Model       | Variant          | Base (16-bit)                                                      | Base (4-bit)                                                    | | ----------- | ---------------- | -----------------------------------
  • Network accessline 895
    | ----------- | ---------------- | ------------------------------------------------------------------ | --------------------------------------------------------------- | | **Mistral** | Small 24B 2501   | [link](https://huggingface.co/unslo
  • Network accessline 896
    | **Mistral** | Small 24B 2501   | [link](https://huggingface.co/unsloth/Mistral-Small-24B-Base-2501) | —                                                               |
  • Network accessline 897
    |             | NeMo 12B 2407    | [link](https://huggingface.co/unsloth/Mistral-Nemo-Base-2407)      | —                                                               |
  • Network accessline 898
    |             | 7B v0.3          | [link](https://huggingface.co/unsloth/mistral-7b-v0.3)             | [link](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit) |
  • Network accessline 899
    |             | 7B v0.2          | [link](https://huggingface.co/unsloth/mistral-7b-v0.2)             | [link](https://huggingface.co/unsloth/mistral-7b-v0.2-bnb-4bit) |
  • Network accessline 900
    |             | Pixtral 12B 2409 | [link](https://huggingface.co/unsloth/Pixtral-12B-Base-2409)       | —                                                               |
  • Network accessline 904
    | Model          | Variant        | Base (16-bit)                                                    | Base (4-bit)                                                                      | | -------------- | -------------- | -----------------
  • Network accessline 905
    | -------------- | -------------- | ---------------------------------------------------------------- | --------------------------------------------------------------------------------- | | **TinyLlama**  | 1.1 B (Base)   | [link](https://hu
  • Network accessline 906
    | **TinyLlama**  | 1.1 B (Base)   | [link](https://huggingface.co/unsloth/tinyllama)                 | [link](https://huggingface.co/unsloth/tinyllama-bnb-4bit)                         |
  • Network accessline 907
    | **Orpheus-3b** | 0.1-pretrained | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-pretrained) | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-pretrained-unsloth-bnb-4bit) |
  • Network accessline 916
    Unsloth works on Linux, Windows, NVIDIA, AMD, Google Colab and more. See our [system requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements).
  • Network accessline 939
    <pre class="language-bash"><code class="lang-bash">pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git
  • Network accessline 940
    <strong>pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth-zoo.git
  • Network accessline 949
    '2025.1.5' is one of the previous old versions of Unsloth. Change it to a specific release listed on our [Github here](https://github.com/unslothai/unsloth/releases).
  • Network accessline 967
    pip uninstall unsloth unsloth_zoo -y && pip install --no-deps git+https://github.com/unslothai/unsloth_zoo.git && pip install --no-deps git+https://github.com/unslothai/unsloth.git
  • Network accessline 981
    pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git
  • Network accessline 982
    pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth-zoo.git
  • Network accessline 989
    {% hint style="warning" %} Do **NOT** use this if you have [Conda](https://docs.unsloth.ai/get-started/install-and-update/conda-install).
  • Network accessline 990
    Do **NOT** use this if you have [Conda](https://docs.unsloth.ai/get-started/install-and-update/conda-install).
  • Network accessline 1000
    pip install --upgrade pip pip install "unsloth[cu121-torch240] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1001
    pip install "unsloth[cu121-torch240] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1007
    pip install --upgrade pip pip install "unsloth[cu124-torch250] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1008
    pip install "unsloth[cu124-torch250] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1014
    pip install "unsloth[cu121-ampere-torch240] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1015
    pip install "unsloth[cu118-ampere-torch240] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1016
    pip install "unsloth[cu121-torch240] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1017
    pip install "unsloth[cu118-torch240] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1019
    pip install "unsloth[cu121-torch230] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1020
    pip install "unsloth[cu121-ampere-torch230] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1022
    pip install "unsloth[cu121-torch250] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1023
    pip install "unsloth[cu124-ampere-torch250] @ git+https://github.com/unslothai/unsloth.git"
  • Dangerous shell operationline 1029
    wget -qO- https://raw.githubusercontent.com/unslothai/unsloth/main/unsloth/_auto_install.py | python -
  • Network accessline 1029
    wget -qO- https://raw.githubusercontent.com/unslothai/unsloth/main/unsloth/_auto_install.py | python -
  • Network accessline 1049
    else: raise RuntimeError(f"Torch = {v} too new!") x = x.format(cuda.replace(".", ""), "-ampere" if is_ampere else "") print(f'pip install --upgrade pip && pip install "unsloth[{x}] @ git+https://github.com/unslothai/unsloth.git"')
  • Network accessline 1051
    print(f'pip install --upgrade pip && pip install "unsloth[{x}] @ git+https://github.com/unslothai/unsloth.git"')
  • Network accessline 1061
    Unsloth Docker image: [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth)
  • Network accessline 1074
    Install Docker via [Linux](https://docs.docker.com/engine/install/) or [Desktop](https://docs.docker.com/desktop/) (other).\
  • Network accessline 1075
    Then install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation):
  • Dangerous shell operationline 1078
    </strong>sudo apt-get update &#x26;&#x26; sudo apt-get install -y \
  • Network accessline 1085
    [Credential-related source omitted]
  • Network accessline 1092
    [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image. For Blackwell and 50-series GPUs, use this same image - no separate one needed.
  • Network accessline 1102
    [Credential-related source omitted]
  • Network accessline 1109
    Go to [http://localhost:8888](http://localhost:8888/) and open Unsloth.
  • Network accessline 1111
    [Credential-related source omitted]
  • Network accessline 1115
    [Credential-related source omitted]
  • Network accessline 1122
    If you're new, follow our step-by-step [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide), [RL Guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) or just save/copy any of our premade [no
  • Network accessline 1124
    [Credential-related source omitted]
  • Access to secretsline 1139
    [Credential-related source omitted]
  • Access to secretsline 1141
    [Credential-related source omitted]
  • Access to secretsline 1155
    [Credential-related source omitted]
  • Access to secretsline 1158
    [Credential-related source omitted]
  • Access to secretsline 1161
    [Credential-related source omitted]
  • Access to secretsline 1175
    [Credential-related source omitted]
  • Access to secretsline 1178
    [Credential-related source omitted]
  • Access to secretsline 1204
    [Credential-related source omitted]
  • Access to secretsline 1206
    [Credential-related source omitted]
  • Dangerous shell operationline 1217
    * Use `USER_PASSWORD` for sudo operations inside container
  • Network accessline 1229
    Docker might be the easiest way for Windows users to get started with Unsloth as there is no setup needed or dependency issues. [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image. For [Blackwell
  • Network accessline 1231
    For installation instructions, please follow our [Docker guide](https://docs.unsloth.ai/new/how-to-fine-tune-llms-with-unsloth-and-docker), otherwise here is a quickstart guide:
  • Network accessline 1238
    Install Docker via [Linux](https://docs.docker.com/engine/install/) or [Desktop](https://docs.docker.com/desktop/) (other). Then install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/ins
  • Dangerous shell operationline 1241
    </strong>sudo apt-get update &#x26;&#x26; sudo apt-get install -y \
  • Network accessline 1254
    [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image.
  • Network accessline 1270
    Go to [http://localhost:8888](http://localhost:8888/) and open Unsloth. Access the `unsloth-notebooks` tabs to see Unsloth notebooks.
  • Network accessline 1277
    If you're new, follow our step-by-step [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide), [RL Guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) or just save/copy any of our premade [no
  • Network accessline 1291
    You should install the latest version of your GPUs driver. Download drivers here: [NVIDIA GPU Drive](https://www.nvidia.com/Download/index.aspx)
  • Network accessline 1299
    * Launch the Installer here:  [Visual Studio Community Edition](https://visualstudio.microsoft.com/vs/community/)
  • Network accessline 1344
    Follow the instructions to install [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit-archive).
  • Network accessline 1346
    Then install Miniconda (which has Python) here: [https://www.anaconda.com/docs/getting-started/miniconda/install](https://www.anaconda.com/docs/getting-started/miniconda/install#quickstart-install-instructions)
  • Network accessline 1352
    You will need the correct version of PyTorch that is compatible with your CUDA drivers, so make sure to select them carefully. [Install PyTorch](https://pytorch.org/get-started/locally/)
  • Network accessline 1361
    pip install "unsloth[windows] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1375
    * Install Triton from this Windows fork and follow the instructions [here](https://github.com/woct0rdho/triton-windows) (be aware that the Windows fork requires PyTorch >= 2.4 and CUDA 12)
  • Network accessline 1389
    1. Install `torch` and `triton`. Go to <https://pytorch.org> to install it. For example `pip install torch torchvision torchaudio triton`
  • Network accessline 1390
    2. Confirm if CUDA is installed correctly. Try `nvcc`. If that fails, you need to install `cudatoolkit` or CUDA drivers. 3. Install `xformers` manually. You can try installing `vllm` and seeing if `vllm` succeeds. Check if `xformers` succee
  • Network accessline 1391
    3. Install `xformers` manually. You can try installing `vllm` and seeing if `vllm` succeeds. Check if `xformers` succeeded with `python -m xformers.info` Go to <https://github.com/facebookresearch/xformers>. Another option is to install `fl
  • Network accessline 1392
    4. Double check that your versions of Python, CUDA, CUDNN, `torch`, `triton`, and `xformers` are compatible with one another. The [PyTorch Compatibility Matrix](https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-m
  • Network accessline 1399
    1. **Install NVIDIA CUDA Toolkit**:    * Download and install the appropriate version of the **NVIDIA CUDA Toolkit** from [CUDA Downloads](https://developer.nvidia.com/cuda-downloads).
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    * Download and install the appropriate version of the **NVIDIA CUDA Toolkit** from [CUDA Downloads](https://developer.nvidia.com/cuda-downloads).
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    * **Note**: No additional setup is required after installation for Unsloth. 2. **Install Microsoft C++ Build Tools**:    * Download and install **Microsoft Build Tools for Visual Studio** from the [official website](https://visualstudio.mic
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    2. **Install Microsoft C++ Build Tools**:    * Download and install **Microsoft Build Tools for Visual Studio** from the [official website](https://visualstudio.microsoft.com/visual-cpp-build-tools/).    * During installation, select the **
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    * Download and install **Microsoft Build Tools for Visual Studio** from the [official website](https://visualstudio.microsoft.com/visual-cpp-build-tools/).
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    * Verify: Open a new terminal and type `cl`. It should show version info. 4. **Install Conda**    1. Download and install **Miniconda** from the [official website](https://docs.anaconda.com/miniconda/install/#quick-command-line-install)
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    4. **Install Conda**    1. Download and install **Miniconda** from the [official website](https://docs.anaconda.com/miniconda/install/#quick-command-line-install)    2. Follow installation instruction from the website
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    1. Download and install **Miniconda** from the [official website](https://docs.anaconda.com/miniconda/install/#quick-command-line-install)
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    1. **Download the** [**unsloth\_windows.ps1**](https://github.com/unslothai/notebooks/blob/main/unsloth_windows.ps1) **PowerShell script by going through this link**.
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    1. Install python though [Python's official site](https://www.python.org/downloads/windows/).
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    sudo apt update && sudo apt upgrade -y
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    sudo apt install python3-pip
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    Install the latest PyTorch, TorchAO, Xformers from <https://pytorch.org/>
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    pip install --upgrade torch==2.8.0 pytorch-triton-rocm torchvision torchaudio torchao==0.13.0 xformers --index-url https://download.pytorch.org/whl/rocm6.4
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    pip install --no-deps unsloth unsloth-zoo pip install --no-deps git+https://github.com/unslothai/unsloth-zoo.git
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    pip install --no-deps git+https://github.com/unslothai/unsloth-zoo.git
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    pip install "unsloth[amd] @ git+https://github.com/unslothai/unsloth"
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    And that's it! Try some examples in our [**Unsloth Notebooks**](https://docs.unsloth.ai/get-started/unsloth-notebooks) page!
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    You can use our :ledger:[gpt-oss RL auto win 2048](https://github.com/unslothai/notebooks/blob/main/nb/gpt_oss_\(20B\)_Reinforcement_Learning_2048_Game_BF16.ipynb) example on a MI300X (192GB) GPU. The goal is to play the 2048 game automatic
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    You can also use our :ledger:[automatic kernel gen RL notebook](https://github.com/unslothai/notebooks/blob/main/nb/gpt_oss_\(20B\)_GRPO_BF16.ipynb) also with gpt-oss to auto create matrix multiplication kernels in Python. The notebook also
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    AMD GPUs also need the bitsandbytes `blocksize` to be 128 and not 64 - this also means our pre-quantized models (for example [unsloth/Llama-3.2-1B-Instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-bnb-4bit)) fr
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    {% hint style="warning" %} Only use Conda if you have it. If not, use [Pip](https://docs.unsloth.ai/get-started/install-and-update/pip-install).
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    Only use Conda if you have it. If not, use [Pip](https://docs.unsloth.ai/get-started/install-and-update/pip-install).
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    If you're looking to install Conda in a Linux environment, [read here](https://docs.anaconda.com/miniconda/), or run the below:
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    mkdir -p ~/miniconda3 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
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    wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
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    rm -rf ~/miniconda3/miniconda.sh
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    [Credential-related source omitted]
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    max_seq_length = 2048 # Supports RoPE Scaling internally, so choose any! # Get LAION dataset url = "https://huggingface.co/datasets/laion/OIG/resolve/main/unified_chip2.jsonl"
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    # Get LAION dataset url = "https://huggingface.co/datasets/laion/OIG/resolve/main/unified_chip2.jsonl" dataset = load_dataset("json", data_files = {"train" : url}, split = "train")
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    url = "https://huggingface.co/datasets/laion/OIG/resolve/main/unified_chip2.jsonl"
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    ] # More models at https://huggingface.co/unsloth
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    # Go to https://docs.unsloth.ai for advanced tips like
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    * <U+200B>**DeepSeek-R1-Distill-Llama-8B** is a fine-tuned version of Llama-3.1-8B. DeepSeek utilized data generated by DeepSeek-R1, to fine-tune Llama-3.1-8B. This process, known as distillation (a subcategory of fine-tuning), injects the data in
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    With [Unsloth](https://github.com/unslothai/unsloth), you can fine-tune for free on Colab, Kaggle, or locally with just 3GB VRAM by using our [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks). By fine-tuning a pre-trained m
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    You may have heard that fine-tuning does not make a model learn new knowledge or RAG performs better than fine-tuning. That is **false**. Read more FAQ + misconceptions [here](https://docs.unsloth.ai/beginner-start-here/faq-+-is-fine-tuning
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    {% content-ref url="beginner-start-here/faq-+-is-fine-tuning-right-for-me" %} [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
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    [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
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    We recommend starting with **Instruct models**, as they allow direct fine-tuning using conversational chat templates (ChatML, ShareGPT etc.) and require less data compared to **Base models** (which uses Alpaca, Vicuna etc). Learn more about
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    * Model names ending in **`unsloth-bnb-4bit`** indicate they are [**Unsloth dynamic 4-bit**](https://unsloth.ai/blog/dynamic-4bit) **quants**. These models consume slightly more VRAM than standard BitsAndBytes 4-bit models but offer signifi
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    We recommend starting with QLoRA, as it is one of the most accessible and effective methods for training models. Our [dynamic 4-bit](https://unsloth.ai/blog/dynamic-4bit) quants, the accuracy loss for QLoRA compared to LoRA is now largely r
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    You can also do [Text-to-speech (TTS)](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning), [reasoning (GRPO)](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide), [vision](https://docs.unsloth.ai/basics/vision-f
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    {% content-ref url="fine-tuning-llms-guide/what-model-should-i-use" %} [what-model-should-i-use](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/what-model-should-i-use)
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    [what-model-should-i-use](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/what-model-should-i-use)
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    * You will need to create a dataset usually with 2 columns - question and answer. The quality and amount will largely reflect the end result of your fine-tune so it's imperative to get this part right. * You can [synthetically generate data
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    * You can [synthetically generate data](https://docs.unsloth.ai/get-started/datasets-guide#synthetic-data-generation) and structure your dataset (into QA pairs) using ChatGPT or local LLMs.
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    * You can also use our new Synthetic Dataset notebook which automatically parses documents (PDFs, videos etc.), generates QA pairs and auto cleans data using local models like Llama 3.2. [Access the notebook here.](https://colab.research.go
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    {% content-ref url="fine-tuning-llms-guide/datasets-guide" %} [datasets-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide)
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    [datasets-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide)
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    For most of our notebook examples, we utilize the [Alpaca dataset](https://docs.unsloth.ai/basics/tutorial-how-to-finetune-llama-3-and-use-in-ollama#id-6.-alpaca-dataset) however other notebooks like Vision will use different datasets which
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    Learn how to choose the right [hyperparameters](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide) using best practices from research and real-world experiments - and understand how each one affects your 
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    {% content-ref url="fine-tuning-llms-guide/lora-hyperparameters-guide" %} [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
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    [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
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    We would recommend beginners to utilise our pre-made [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks) first as it's the easiest way to get started with guided steps. However, if installing locally is a must, you can instal
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    {% content-ref url="beginner-start-here/unsloth-requirements" %} [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
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    [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
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    {% content-ref url="install-and-update" %} [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
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    [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
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    [Credential-related source omitted]
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    For testing, you can also  take 20% of your training data and use that for testing. If you already used all of the training data, then you have to manually evaluate it. You can also use automatic eval tools like EleutherAI’s [lm-evaluation-
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    {% content-ref url="../basics/running-and-saving-models" %} [running-and-saving-models](https://docs.unsloth.ai/basics/running-and-saving-models)
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    [running-and-saving-models](https://docs.unsloth.ai/basics/running-and-saving-models)
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    We can now save the finetuned model as a small 100MB file called a LoRA adapter like below. You can instead push to the Hugging Face hub as well if you want to upload your model! Remember to get a Hugging Face token via: <https://huggingfac
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    To learn more about fine-tuning tips and tricks, head over to our blogs which provide tremendous and educational value: <https://unsloth.ai/blog/>
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    If you need any help on fine-tuning, you can also join our Discord server [here](https://discord.gg/unsloth) or [Reddit r/unsloth](https://www.reddit.com/r/unsloth/). Thanks for reading and hopefully this was helpful!
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    * E.g. For image-based training, select a vision model such as *Llama 3.2 Vision*. For code datasets, opt for a specialized model like *Qwen Coder 2.5*. * **Licensing and Requirements**: Different models may have specific licensing terms an
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    * **Licensing and Requirements**: Different models may have specific licensing terms and [system requirements](https://docs.unsloth.ai/beginner-start-here/unsloth-requirements#system-requirements). Be sure to review these carefully to avoid
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    * Use our [VRAM guideline](https://docs.unsloth.ai/beginner-start-here/unsloth-requirements#approximate-vram-requirements-based-on-model-parameters) to determine the VRAM requirements for the model you’re considering.
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    * We recommend using the latest model for the best performance and capabilities. For instance, as of January 2025, the leading 70B model is *Llama 3.3*. * You can stay up to date by exploring our [model catalog](https://docs.unsloth.ai/get-
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    * You can stay up to date by exploring our [model catalog](https://docs.unsloth.ai/get-started/all-our-models) to find the newest and relevant options.
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    Base models, on the other hand, are the original pre-trained versions without instruction fine-tuning. These are specifically designed for customization through fine-tuning, allowing you to adapt them to your unique needs. Base models are c
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    * **300–1,000 Rows of High-Quality Data**: With a medium-sized, high-quality dataset, fine-tuning the base or instruct model are both viable options. * **Less than 300 Rows**: For smaller datasets, the instruct model is typically the better
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    * For information how how big your dataset should be, [see here](https://docs.unsloth.ai/get-started/datasets-guide#how-big-should-my-dataset-be)
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    * Model names ending in **`unsloth-bnb-4bit`** indicate they are [**Unsloth dynamic 4-bit**](https://unsloth.ai/blog/dynamic-4bit) **quants**. These models consume slightly more VRAM than standard BitsAndBytes 4-bit models but offer signifi
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    One of the key parts of creating a dataset is your [chat template](https://docs.unsloth.ai/basics/chat-templates) and how you are going to design it. Tokenization is also important as it breaks text into tokens, which can be words, sub-word
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    * Chat-based dialogues (Q\&A, learn a new language, customer support, conversations). * Structured tasks ([classification](https://colab.research.google.com/github/timothelaborie/text_classification_scripts/blob/main/unsloth_classification.
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    * Structured tasks ([classification](https://colab.research.google.com/github/timothelaborie/text_classification_scripts/blob/main/unsloth_classification.ipynb), summarization, generation tasks).
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    For [**continued pretraining**](https://docs.unsloth.ai/basics/continued-pretraining), we use raw text format without specific structure:
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    If we are adapting a model to a new task, and intend for the model to output text in a single turn based on a specific set of instructions, we can use **Instruction** format in [Alpaca style](https://docs.unsloth.ai/basics/tutorial-how-to-f
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    <mark style="color:green;">**A:**</mark>  If your dataset is already formatted in the Alpaca format, then follow the formatting steps as shown in the Llama3.1 [notebook ](https://colab.research.google.com/github/unslothai/notebooks/blob/mai
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    <mark style="color:green;">**A:**</mark>  The `chat_template` attribute when a model is first uploaded by the original model owners sometimes contains errors and may take time to be updated. In contrast, at Unsloth, we thoroughly check and 
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    <mark style="color:green;">**A:**</mark>  Submit a feature request on the unsloth github issues [forum](https://github.com/unslothai/unsloth). As a temporary workaround, you could also use the tokenizer's own apply\_chat\_template function 
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    * Produce entirely new data - either from scratch or from your existing dataset * Diversify your dataset so your model does not [overfit](https://docs.unsloth.ai/get-started/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting) 
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    * Diversify your dataset so your model does not [overfit](https://docs.unsloth.ai/get-started/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting) and become too specific
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    We collaborated with Meta to launch a free notebook for creating Synthetic Datasets automatically using local models like Llama 3.2. [Access the notebook here.](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Meta_
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    If you want to fine-tune a model that already has reasoning capabilities like the distilled versions of DeepSeek-R1 (e.g. DeepSeek-R1-Distill-Llama-8B), you will need to still follow question/task and answer pairs however, for your answer y
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    For a model that does not have reasoning and you want to train it so that it later encompasses reasoning capabilities, you will need to utilize a standard dataset but this time without reasoning in its answers. This is training process is k
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    * Standardize the format of all datasets, combine them into a single dataset, and fine-tune on this unified dataset. * Use the [Multiple Datasets](https://colab.research.google.com/drive/1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) notebo
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    * Use the [Multiple Datasets](https://colab.research.google.com/drive/1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) notebook to fine-tune on multiple datasets directly.
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    [Credential-related source omitted]
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    You can access the GPT4 version of the Alpaca dataset [here](https://huggingface.co/datasets/vicgalle/alpaca-gpt4.). Below shows some examples of the dataset:
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    The dataset for fine-tuning a vision or multimodal model also includes image inputs. For example, the [Llama 3.2 Vision Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb#scroll
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    We'll be using a sampled version of the ROCO radiography dataset. You can access the dataset [here](https://www.google.com/url?q=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Funsloth%2FRadiology_mini). The dataset includes X-rays, CT scans and 
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    | Image                                                                                                                                                                                                                                         
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    [Credential-related source omitted]
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    For more details, view our dataset section in the [notebook here](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb#scrollTo=vITh0KVJ10qX).
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    * **LoRA:** 16-bit fine-tuning. It's slightly faster and slightly more accurate, but consumes significantly more VRAM (4× more than QLoRA). Recommended for 16-bit environments and scenarios where maximum accuracy is required. * **QLoRA:** 4
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    :sloth: *70B LLaMA fits in <48GB VRAM with QLoRA in Unsloth -* [*more details here*](https://unsloth.ai/blog/llama3-3)*.*
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    [Read our blog post](https://unsloth.ai/blog/gradient) for more details.
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    A regularization technique that helps [prevent overfitting](#overfitting-poor-generalization-too-specialized) by randomly setting a fraction of the LoRA activations to zero during each training step. [Recent research suggests](https://arxiv
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    Options are `True`, `False`, and `"unsloth"`. \    🦥 *We recommend* `"unsloth"` *as it reduces memory usage by an extra 30% and supports extremely long context fine-tunes. You can read more on* [*our blog post about long context training*](
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    🦥 *We recommend* `"unsloth"` *as it reduces memory usage by an extra 30% and supports extremely long context fine-tunes. You can read more on* [*our blog post about long context training*](https://unsloth.ai/blog/long-context)*.*\\
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    An advanced feature that implements [**Rank-Stabilized LoRA**](https://arxiv.org/abs/2312.03732). If set to `True`, the effective scaling becomes `lora_alpha / sqrt(r)` instead of the standard `lora_alpha / r`. This can sometimes improve st
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    An advanced technique, as proposed in [**LoftQ**](https://arxiv.org/abs/2310.08659), initializes LoRA matrices with the top 'r' singular vectors from the pretrained weights. This can improve accuracy but may cause a significant memory spike
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    When validating that **LoRA** adapter weights have been updated after fine-tuning, avoid using **np.allclose()** for comparison. This method can miss subtle but meaningful changes, particularly in **LoRA A**, which is initialized with small
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    According to the [rsLoRA (rank stabilized lora) paper](https://arxiv.org/abs/2312.03732), we should instead scale alpha by the sqrt of the rank. Other options exist, but theoretically this is the optimum. The left plot shows other ranks and
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    According to empirical experiments and research papers like the original [QLoRA paper](https://arxiv.org/pdf/2305.14314), it's best to apply LoRA to both attention and MLP layers.
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    The [QLoRA paper](https://arxiv.org/pdf/2305.14314) shows that masking out inputs and **training only on completions** (outputs or assistant messages) can further **increase accuracy** by a few percentage points (*1%*). Below demonstrates h
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    The QLoRA paper states that **training on completions only** increases accuracy by quite a bit, especially for multi-turn conversational finetunes! We do this in our [conversational notebooks here](https://colab.research.google.com/github/u
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    ***Acknowledgements:** A huge thank you to* [*Eyera*](https://huggingface.co/Orenguteng) *for contributing to this guide!*
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    By the end of this tutorial, you will create a custom chatbot by **finetuning Llama-3** with [**Unsloth**](https://github.com/unslothai/unsloth) for free. It can run locally via [**Ollama**](https://github.com/ollama/ollama) on your PC, or 
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    **Unsloth** makes finetuning much easier, and can automatically export the finetuned model to **Ollama** with integrated automatic `Modelfile` creation! If you need help, you can join our Discord server: <https://discord.com/invite/unsloth>
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    {% hint style="warning" %} **If you’d like to copy or save the code, everything is available in our** [**Ollama Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)**. You c
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    **If you’d like to copy or save the code, everything is available in our** [**Ollama Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)**. You can use it directly there or
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    [Unsloth](https://github.com/unslothai/unsloth) makes finetuning LLMs like Llama-3, Mistral, Phi-3 and Gemma 2x faster, use 70% less memory, and with no degradation in accuracy! We will be using Google Colab which provides a free GPU during
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    * [Ollama Llama-3 Alpaca](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb) (notebook which we will be using)
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    * [CSV/Excel Ollama Guide](https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS?usp=sharing)
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    [Ollama ](https://github.com/ollama/ollama)allows you to run language models from your own computer in a quick and simple way! It quietly launches a program which can run a language model like Llama-3 in the background. If you suddenly want
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    Options include `True`, `False` and `"unsloth"`. We suggest `"unsloth"` since we reduce memory usage by an extra 30% and support extremely long context finetunes.You can read up here: <https://unsloth.ai/blog/long-context> for more details.
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    You can access the GPT4 version of the Alpaca dataset here: <https://huggingface.co/datasets/vicgalle/alpaca-gpt4>. An older first version of the dataset is here: <https://github.com/tatsu-lab/stanford_alpaca>. Below shows some examples of 
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    To access the Titanic finetuning notebook or if you want to upload a CSV or Excel file, go here: <https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS?usp=sharing>
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    Or in the Titanic prediction task where you had to predict if a passenger died or survived in this Colab  notebook which includes CSV and Excel uploading: <https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS?usp=sharin
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    We can now save the finetuned model as a small 100MB file called a LoRA adapter like below. You can instead push to the Hugging Face hub as well if you want to upload your model! Remember to get a Hugging Face token via <https://huggingface
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    Head over to <https://github.com/ggerganov/llama.cpp> to learn more about GGUF. We also have some manual instructions of how to export to GGUF if you want here: <https://github.com/unslothai/unsloth/wiki#manually-saving-to-gguf>
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    If you want to learn how to do reward modelling, do continued pretraining, export to vLLM or GGUF, do text completion, or learn more about finetuning tips and tricks, head over to our [Github](https://github.com/unslothai/unsloth#-finetune-
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    If you need any help on finetuning, you can also join our Discord server [here](https://discord.gg/unsloth). If you want help with Ollama, you can also join their server [here](https://discord.gg/ollama).
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    To access our Alpaca dataset example click [here](https://colab.research.google.com/drive/1WZDi7APtQ9VsvOrQSSC5DDtxq159j8iZ?usp=sharing), and our CSV / Excel finetuning guide is [here](https://colab.research.google.com/drive/1VYkncZMfGFkeCE
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    {% hint style="success" %} For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    This article covers everything (from beginner to advanced) you need to know about GRPO, Reinforcement Learning (RL) and reward functions, along with tips, and the basics of using GRPO with [Unsloth](https://github.com/unslothai/unsloth). If
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    {% column %} OpenAI popularized the concept of [RLHF](https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) (Reinforcement Learning from Human Feedback), where we train an <mark style="background-color:red;">**"agent"**<
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    OpenAI popularized the concept of [RLHF](https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) (Reinforcement Learning from Human Feedback), where we train an <mark style="background-color:red;">**"agent"**</mark> to pro
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    {% column %} In order to do RLHF, [<mark style="background-color:red;">**PPO**</mark>](https://en.wikipedia.org/wiki/Proximal_policy_optimization) (Proximal policy optimization) was developed. The <mark style="background-color:blue;">**agen
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    In order to do RLHF, [<mark style="background-color:red;">**PPO**</mark>](https://en.wikipedia.org/wiki/Proximal_policy_optimization) (Proximal policy optimization) was developed. The <mark style="background-color:blue;">**agent**</mark> is
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    The formula for PPO looks quite complicated because it was designed to be stable. Visit our [AI Engineer talk](https://docs.unsloth.ai/ai-engineers-2025) we gave in 2025 about RL for more in depth maths derivations about PPO.
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    {% column %} DeepSeek developed [<mark style="background-color:red;">**GRPO**</mark>](https://unsloth.ai/blog/grpo) (Group Relative Policy Optimization) to train their R1 reasoning models. The key differences to PPO are:
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    DeepSeek developed [<mark style="background-color:red;">**GRPO**</mark>](https://unsloth.ai/blog/grpo) (Group Relative Policy Optimization) to train their R1 reasoning models. The key differences to PPO are:
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    2. Code output can be verified as having executed correctly or not. 3. Designing verifiable reward functions can be tough, and so most examples are math or code. 4. Use-cases for GRPO isn’t just for code or math—its reasoning process can en
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    4. Use-cases for GRPO isn’t just for code or math—its reasoning process can enhance tasks like email automation, database retrieval, law, and medicine, greatly improving accuracy based on your dataset and reward function - the trick is to d
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    * With 15GB VRAM, Unsloth allows you to transform any model up to 17B parameters like Llama 3.1 (8B), Phi-4 (14B), Mistral (7B) or Qwen2.5 (7B) into a reasoning model * **Unsloth now supports** [**RL for Vision/multimodal**](https://docs.un
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    * **Unsloth now supports** [**RL for Vision/multimodal**](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl) **models!**
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    {% content-ref url="reinforcement-learning-rl-guide/tutorial-train-your-own-reasoning-model-with-grpo" %} [tutorial-train-your-own-reasoning-model-with-grpo](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/tutorial-train
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    [tutorial-train-your-own-reasoning-model-with-grpo](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/tutorial-train-your-own-reasoning-model-with-grpo)
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    | [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) **GSPO -** new | [**Qwen3-VL-8B**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_
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    | -------------------------------------------------------------------------------------------------------------------------------------- | -----------------------------------------------------------------------------------------------------
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    | [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) - Advanced         | [**DeepSeek-R1-0528-Qwen3-8B**](https://colab.research.google.com/github/unslothai/notebooks/blob/mai
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    | [Gemma 3 (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(1B\)-GRPO.ipynb)                     | [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4_\(14B\)
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    | [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-GRPO.ipynb)          | [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\
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    {% hint style="success" %} **NEW!** We now support [**GSPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/gspo-reinforcement-learning) and most other new GRPO techniques. You can play with the following arguments in 
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    **NEW!** We now support [**GSPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/gspo-reinforcement-learning) and most other new GRPO techniques. You can play with the following arguments in GRPOConfig to enable:
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    For a tutorial on how to transform any open LLM into a reasoning model using Unsloth & GRPO, [see here](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/tutorial-train-your-own-reasoning-model-with-grpo).
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    {% hint style="success" %} For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    {% hint style="warning" %} If you're having issues with your GRPO model not learning, we'd highly recommend to use our [Advanced GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-notebooks) as it has a much better rew
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    If you're having issues with your GRPO model not learning, we'd highly recommend to use our [Advanced GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-notebooks) as it has a much better reward function and you should
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    In our other examples, we use existing GSM8K reward functions by [@willccbb](https://x.com/willccbb) which is popular and shown to be quite effective:
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    You can now use [vLLM](https://github.com/vllm-project/vllm/) directly in your finetuning stack, which allows for much more throughput and allows you to finetune and do inference on the model at the same time! On 1x A100 40GB, expect 4000 t
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    1. For GRPO's **GPU VRAM requirements for QLoRA 4-bit**, the general rule is the model parameters = the amount of VRAM you will need (you can use less VRAM but this just to be safe). The more context length you set, the more VRAM. LoRA 16-b
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    2. Our new memory efficient linear kernels for GRPO slashes memory usage by 8x or more. This shaves 68.5GB of memory, whilst being actually faster through the help of torch.compile! 3. We leverage our smart [Unsloth gradient checkpointing](
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    3. We leverage our smart [Unsloth gradient checkpointing](https://unsloth.ai/blog/long-context) algorithm which we released a while ago. It smartly offloads intermediate activations to system RAM asynchronously whilst being only 1% slower. 
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    {% embed url="<https://www.youtube.com/watch?v=OkEGJ5G3foU>" %}
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    1. Nathan Lambert's RLHF Book is a must! <https://rlhfbook.com/c/11-policy-gradients.html>
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    2. Yannic Kilcher's GRPO Youtube video is also a must! <https://www.youtube.com/watch?v=bAWV_yrqx4w>
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    3. We did a 3 hour workshop at AI Engineer World's Fair 2025. Slides are other material are at <https://docs.unsloth.ai/ai-engineers-2025>
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    4. Advanced GRPO notebook via Unsloth. <https://docs.unsloth.ai/basics/reinforcement-learning-guide/tutorial-train-your-own-reasoning-model-with-grpo>
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    5. GRPO from a base model notebook: <https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_(4B)-GRPO.ipynb>
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    DeepSeek developed [GRPO](https://unsloth.ai/blog/grpo) (Group Relative Policy Optimization) to train their R1 reasoning models.
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    These instructions are for our pre-made Google Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks). If you are installing Unsloth locally, you can also copy our notebooks inside your favorite code editor. We'll be using
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    | [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) **-** GSPO | [**Qwen2.5-VL**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_5_7B_VL_
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    | [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) - Advanced     | [**DeepSeek-R1-0528-Qwen3-8B**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb
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    If you're using our Colab notebook, click **Runtime > Run all**. We'd highly recommend you checking out our [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide) before getting started.
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    If installing locally, ensure you have the correct [requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements) and use `pip install unsloth` on Linux or follow our [Windows install ](https://docs.unsloth.ai/
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    Before we get started, it is recommended to learn more about GRPO, reward functions and how they work. Read more about them including [tips & tricks](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/..#basics-tips)[ here]
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    We have pre-selected optimal settings for the best results for you already and you can change the model to whichever you want listed in our [supported models](https://docs.unsloth.ai/get-started/all-our-models). Would not recommend changing
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    {% hint style="success" %} For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    We have pre-selected OpenAI's [GSM8K](https://huggingface.co/datasets/openai/gsm8k) dataset which contains grade school math problems but you could change it to your own or any public one on Hugging Face. You can read more about [datasets h
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    [Reward Functions/Verifiers](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/..#reward-functions-verifier) lets us know if the model is doing well or not according to the dataset you have provided. Each generation run wi
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    You can input your generations into an LLM like ChatGPT 4o or Llama 3.1 (8B) and design a reward function and verifier to evaluate it. For example, feed your generations into a LLM of your choice and set a rule: "If the answer sounds too ro
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    We have pre-selected hyperparameters for the most optimal results however you could change them. Read all about [parameters here](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide). For **advanced GRPO** 
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    {% hint style="warning" %} If you're having issues with your GRPO model not learning, we'd highly recommend to use our [Advanced GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-notebooks) as it has a much better rew
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    If you're having issues with your GRPO model not learning, we'd highly recommend to use our [Advanced GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-notebooks) as it has a much better reward function and you should
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    You can then save your model to GGUF, Ollama etc. by following our [guide here](https://docs.unsloth.ai/fine-tuning-llms-guide#id-7.-running--saving-the-model).
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    We have multiple options for saving your fine-tuned model, but we’ll focus on the easiest and most popular approaches which you can read more about [here](https://docs.unsloth.ai/basics/running-and-saving-models)
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    {% embed url="<https://www.youtube.com/watch?v=SoPE1cUz3Hs>" %}
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    This can zero out all `completion_mask` entries when many completions are truncated, making `n_mask_per_reward = 0` and causing KL to become NaN. [See](https://github.com/unslothai/unsloth-zoo/blob/e705f7cb50aa3470a0b6e36052c61b7486a39133/u
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    This means the memory space for inference and training can in theory be re-used, since inference and training are separate modes - this is where [vLLM's sleep mode feature](https://docs.vllm.ai/en/latest/features/sleep_mode.html#rlhf-weight
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    <table data-full-width="true"><thead><tr><th>Experiments</th><th>Config</th><th>Status</th><th>GPU Memory usage</th><th>Comments</th></tr></thead><tbody><tr><td><ol><li><a href="https://colab.research.google.com/drive/18CssBY5C0mStnLvu2Hlt4
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    We now select better compilation flags and reduce compile times by 50% or more. We also managed to dynamically patch any vLLM version to handle `gc.collect` better for backwards compatibility reasons, as inspired from this [vLLM pull reques
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    All our GRPO notebooks have Unsloth Standby on by default and all optimizations! See <https://docs.unsloth.ai/get-started/unsloth-notebooks> for all our GRPO notebooks, or try the below:
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    * [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) **-** Advanced GRPO LoRA
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    * [**DeepSeek-R1-0528-Qwen3 (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/DeepSeek_R1_0528_Qwen3_\(8B\)_GRPO.ipynb) (for multilingual usecases)
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    * [Gemma 3 (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(1B\)-GRPO.ipynb)
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    * [Llama 3.2 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Advanced_Llama3_2_\(3B\)_GRPO_LoRA.ipynb) - Advanced GRPO LoRA
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    * [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-GRPO.ipynb)
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    * [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4_\(14B\)-GRPO.ipynb)
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    * [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-GRPO.ipynb)
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    * [Qwen2.5 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_\(3B\)-GRPO.ipynb)
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    It's the reason models learn to modify unit tests to pass coding challenges, and these are critical blockers for real world deployment. Some other good examples are from [Wikipedia](https://en.wikipedia.org/wiki/Reward_hacking).
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    <div align="center"><figure><img src="https://i.pinimg.com/originals/55/e0/1b/55e01b94a9c5546b61b59ae300811c83.gif" alt="" width="188"><figcaption></figcaption></figure></div>
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    **Can you counter reward hacking? Yes!** In our [free gpt-oss RL notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) we explore how to counter reward hacking in a code generation s
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    We're introducing GSPO which is a variant of [GRPO](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/..#from-rlhf-ppo-to-grpo-and-rlvr) made by the Qwen team at Alibaba. They noticed the observation that when GRPO takes i
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    * Use our free GSPO notebooks for: [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) and [**Qwen2.5-VL**](https://colab.research.google.com/github/unslothai/notebooks/blo
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    * [GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-rl-notebooks)
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    * [ORPO notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-ORPO.ipynb)
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    * [DPO Zephyr notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Zephyr_\(7B\)-DPO.ipynb)
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    * [KTO notebook](https://colab.research.google.com/drive/1MRgGtLWuZX4ypSfGguFgC-IblTvO2ivM?usp=sharing)
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    * [SimPO notebook](https://colab.research.google.com/drive/1Hs5oQDovOay4mFA6Y9lQhVJ8TnbFLFh2?usp=sharing)
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    We're also in 🤗Hugging Face's official docs! We're on the [SFT docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth) and the [DPO docs](https://huggingface.co/docs/trl/main/en/dpo_trainer#acceler
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    [Credential-related source omitted]
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    You can fine-tune DeepSeek-OCR to enhance its vision or language performance. In our Unsloth [**free fine-tuning notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb), we demonstrat
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    > **Our model upload that enables fine-tuning + more inference support:** [**DeepSeek-OCR**](https://huggingface.co/unsloth/DeepSeek-OCR)
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    source .venv/bin/activate # Until v0.11.1 release, you need to install vLLM from nightly build uv pip install -U vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
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    uv pip install -U vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
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    [Credential-related source omitted]
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    Unsloth supports fine-tuning of DeepSeek-OCR. Since the default model isn’t fine-tunable, we added changes from the [Stranger Vision HF](https://huggingface.co/strangervisionhf) team, to then enable fine-tuning. As usual, Unsloth trains Dee
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    * DeepSeek-OCR: [Fine-tuning only notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb)
  • Network accessline 4660
    * DeepSeek-OCR: [Fine-tuning + Evaluation notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\)-Eval.ipynb) (A100)
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    [Credential-related source omitted]
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    Local training can be complex due to dependency hell or breaking environments. Unsloth’s [Docker image](https://hub.docker.com/r/unsloth/unsloth) can bypass these issues. No setup is needed: pull and run the image and start training.
  • Network accessline 4780
    * **Unsloth official Docker image:** [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth)
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    Unsloth’s Docker image is stable, up-to-date and works in [supported setups](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements#system-requirements) like Windows.
  • Network accessline 4800
    Install Docker via [Linux](https://docs.docker.com/engine/install/) or [Desktop](https://docs.docker.com/desktop/) (other).\
  • Network accessline 4801
    Then install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation):
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    </strong>sudo apt-get update &#x26;&#x26; sudo apt-get install -y \
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    [Credential-related source omitted]
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    [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image. For [Blackwell](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and 50-series GPUs, use this same im
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    [Credential-related source omitted]
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    Go to [http://localhost:8888](http://localhost:8888/) and open Unsloth.
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    If you're new, follow our step-by-step [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide), [RL Guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) or just save/copy any of our premade [no
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    [Credential-related source omitted]
  • Dangerous shell operationline 4928
    * Use `USER_PASSWORD` for sudo operations inside container
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    Unsloth now supports vision/multimodal RL with [Qwen3-VL](https://docs.unsloth.ai/models/qwen3-vl-how-to-run-and-fine-tune), [Gemma 3](https://docs.unsloth.ai/models/gemma-3-how-to-run-and-fine-tune) and more. Due to Unsloth's unique [weigh
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    Unsloth can train Qwen3-VL-8B with GSPO/GRPO on a free Colab T4 GPU. Other VLMs work too, but may need larger GPUs. Gemma requires newer GPUs than T4 because vLLM [restricts to Bfloat16](https://docs.unsloth.ai/models/gemma-3-how-to-run-and
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    * **Qwen-3 VL-8B** (vLLM inference)**:** [Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision-GRPO.ipynb)
  • Network accessline 4941
    * **Qwen-2.5 VL-7B** (vLLM inference)**:** [Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_5_7B_VL_GRPO.ipynb) •[ Kaggle](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/note
  • Network accessline 4942
    * **Gemma-3-4B** (Unsloth inference): [Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision-GRPO.ipynb)
  • Network accessline 4944
    We have also added vLLM VLM integration into Unsloth natively, so all you have to do to use vLLM inference is enable the `fast_inference=True` flag when initializing the model. Special thanks to [Sinoué GAD](https://github.com/unslothai/uns
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    This VLM support also integrates our latest update for even more memory efficient + faster RL including our [Standby feature](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/memory-efficient-rl#unsloth-standby), which un
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    [Credential-related source omitted]
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    This was [reported](https://github.com/QwenLM/Qwen2.5-VL/issues/759) as well in Qwen2.5-VL-7B-Instruct output unexpected results "addCriterion". In fact we see this as well! We tried both non Unsloth, bfloat16 and float16 machines and other
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    # Fix up addCriterion issues         # See https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl#qwen-2.5-vl-vision-rl-issues-and-quirks
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    # See https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl#qwen-2.5-vl-vision-rl-issues-and-quirks
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    This update in addition adds GSPO ([Group Sequence Policy Optimization](https://arxiv.org/abs/2507.18071)) which is a variant of GRPO made by the Qwen team at Alibaba. They noticed that GRPO implicitly results in importance weights for each
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    [reinforcement-learning-rl-guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide "mention")
  • Network accessline 5107
    ***Authors:** A huge thank you to* [*Keith*](https://www.linkedin.com/in/keith-truongcao-7bb84a23b/) *and* [*Datta*](https://www.linkedin.com/in/datta0/) *for contributing to this article!*
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    You can now train OpenAI [gpt-oss](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune) with RL and GRPO via [Unsloth](https://github.com/unslothai/unsloth). Unsloth now offers the <mark style="background-color:$success;">**fast
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    Since reinforcement learning (RL) on gpt-oss isn't yet vLLM compatible, we had to rewrite the inference code from Transformers code to deliver 3x faster inference for gpt-oss at \~21 tokens/s. For BF16, Unsloth also achieves the fastest inf
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    * **Free notebook:** [**gpt-oss-20b GRPO Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb)\
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    Unsloth is the only framework to support 4-bit RL for gpt-oss. All performance gains are due to Unsloth's unique [weight sharing](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide#what-unsloth-offers-for-rl), [Flex Attenti
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    {% hint style="warning" %} Reminder: <mark style="background-color:$info;">**Flash Attention 3 (FA3) is**</mark> [<mark style="background-color:$info;">**unsuitable for gpt-oss**</mark>](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and
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    Reminder: <mark style="background-color:$info;">**Flash Attention 3 (FA3) is**</mark> [<mark style="background-color:$info;">**unsuitable for gpt-oss**</mark>](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/long-context-gpt
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    Inference is crucial in RL training, since we need it to generate candidate solutions before maximizing some reward function ([see here](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) for a more detailed explanation). 
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    vLLM does not support RL for gpt-oss since it lacks BF16 training and LoRA support for gpt-oss. Without Unsloth, only training via full precision BF16 works, making <mark style="background-color:$warning;">memory use</mark> <mark style="bac
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    We had to change our implementation for attention sinks as [described here](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/long-context-gpt-oss-training) to allow generation to work with left padding. We had to get the logs
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    The harder part is batch generation. Sequences differ in length, so padding complicates mask creation. Flex Attention had a lot of [challenges](https://github.com/meta-pytorch/attention-gym/issues/15#issuecomment-2284148665) and dynamic mas
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    > *Quote from* [*https://github.com/meta-pytorch/attention-gym/issues/15#issuecomment-2284148665*](https://github.com/meta-pytorch/attention-gym/issues/15#issuecomment-2284148665)
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    It's the reason models learn to modify unit tests to pass coding challenges, and these are critical blockers for real world deployment. Some other good examples are from [Wikipedia](https://en.wikipedia.org/wiki/Reward_hacking).
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    <div align="center"><figure><img src="https://i.pinimg.com/originals/55/e0/1b/55e01b94a9c5546b61b59ae300811c83.gif" alt="" width="188"><figcaption></figcaption></figure></div>
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    In our [free gpt-oss RL notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) we explore how to counter reward hacking in a code generation setting and showcase tangible solutions to
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    LLMs often struggle with tasks that involve complex environments. However, by applying [reinforcement learning](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) (RL) and designing a custom [reward function](https://docs.
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    RL can be adapted for tasks such as auto kernel or strategy creation. This tutorial shows how to train **gpt-oss** with [**GRPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide#from-rlhf-ppo-to-grpo-and-rlvr) and Unslo
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    | [2048 notebook](https://colab.research.google.com/github/openai/gpt-oss/blob/main/examples/reinforcement-fine-tuning.ipynb) (Official OpenAI example) | [Kernel generation notebook](https://colab.research.google.com/github/unslothai/notebo
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    LLMs often struggle with tasks that involve complex environments. However, by applying [reinforcement learning](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) (RL) and designing a custom [reward function](https://docs.
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    RL can be adapted for tasks such as auto kernel or strategy creation. This tutorial shows how to train **gpt-oss** with [**GRPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide#from-rlhf-ppo-to-grpo-and-rlvr) and Unslo
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    | [2048 notebook](https://colab.research.google.com/github/openai/gpt-oss/blob/main/examples/reinforcement-fine-tuning.ipynb) (Official OpenAI example) | [Kernel generation notebook](https://colab.research.google.com/github/unslothai/notebo
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    !uv pip install -qqq \     "torch>=2.8.0" "triton>=3.4.0" {get_numpy} torchvision bitsandbytes "transformers==4.56.2" \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
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    "torch>=2.8.0" "triton>=3.4.0" {get_numpy} torchvision bitsandbytes "transformers==4.56.2" \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \     "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
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    "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
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    "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
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    git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels
  • Network accessline 5326
    Load the 20B model in 4‑bit QLoRA for memory efficiency, then wrap it with a LoRA adapter. You can also train it in 16-bit LoRA but it will use 4x more memory. For more settings view our [configuration guide](https://docs.unsloth.ai/get-sta
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    We will use the **GRPOTrainer**. Set the prompt/completion lengths, then build a `GRPOConfig`. Keep in mind you could also set the RL algorithm type to others such as [GSPO](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guid
  • Network accessline 5703
    We’re excited to share that Unsloth Dynamic GGUFs shows how it's possible to quantize LLMs like [DeepSeek-V3.1](https://docs.unsloth.ai/models/deepseek-v3.1-how-to-run-locally) (671B) down to just **1-bit** or **3-bit**, and still be able t
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    Previously, [we demonstrated](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) how Unsloth Dynamic GGUFs outperform other quantization methods on 5-shot MMLU and KL Divergence. Now, we’re showcasing their performance on independent
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    **Why the** [**Aider Polyglot**](https://aider.chat/docs/leaderboards/) **benchmark?** Aider is one of the most comprehensive measures of how well LLMs can write, code, follow instructions, and apply changes without human intervention, maki
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    {% hint style="success" %} The **key advantage** of using the Unsloth package and models is our active role in ***fixing critical bugs*** in major models. We've collaborated directly with teams behind [Qwen3](https://www.reddit.com/r/LocalL
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    The **key advantage** of using the Unsloth package and models is our active role in ***fixing critical bugs*** in major models. We've collaborated directly with teams behind [Qwen3](https://www.reddit.com/r/LocalLLaMA/comments/1kaodxu/qwen3
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    In Nov 2024, our [4-bit Dynamic](https://unsloth.ai/blog/dynamic-4bit) Quants showcased how you could largely restore QLoRA fine-tuning & model accuracy by just <mark style="background-color:green;">**selectively quantizing layers**</mark>.
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    Our Dynamic GGUFs are even more effective when paired with our [imatrix calibration dataset](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs#whats-new-in-dynamic-v2.0), designed for chat and coding performance. All of this enabled 
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    We also showed dynamic benchmarks in <https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs> for Gemma 3 and Llama 4 Scout, showing how effective our methodology is:
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    Benchmark experiments were mainly conducted by [David Sluys](https://www.linkedin.com/in/david-sluys-231348208/) (neolithic5452 on [Aider Discord](https://discord.com/channels/1131200896827654144/1408293692074360914)), a trusted community c
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    See [here](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF?chat_template=default\&format=true) for our fixed chat template or [here](https://huggingface.co/unsloth/DeepSeek-V3.1/raw/main/chat_template.jinja) for a raw jinja file.
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    [Credential-related source omitted]
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    Head over to our [DeepSeek V3.1 guide](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms/deepseek-r1-how-to-run-locally/deepseek-r1-dynamic-1.58-bit) or to quickly get the dynamic 2bit version, do:
  • Network accessline 5877
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    Qwen3-VL has vision, video and OCR capabilities as well as 256K context (can be extended to 1M).\ \ [Unsloth](https://github.com/unslothai/unsloth) supports **Qwen3-VL fine-tuning and** [**RL**](https://docs.unsloth.ai/new/vision-reinforcem
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    [Unsloth](https://github.com/unslothai/unsloth) supports **Qwen3-VL fine-tuning and** [**RL**](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl). Train Qwen3-VL (8B) for free with our [notebooks](#fine-tuning-qwen3-vl).
  • Network accessline 5921
    | <ul><li><a href="https://huggingface.co/unsloth/Qwen3-VL-2B-Instruct-GGUF">2B-Instruct</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-VL-2B-Thinking-GGUF">2B-Thinking</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-VL
  • Network accessline 5939
    Qwen3-VL also used the below settings for their benchmarking numbers, as mentioned [on GitHub](https://github.com/QwenLM/Qwen3-VL/tree/main?tab=readme-ov-file#generation-hyperparameters).
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    [Credential-related source omitted]
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    2. **Let's first get an image!** You can also upload images as well. We shall use <https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/unsloth%20made%20with%20love.png>, which is just our mini logo showing how finetun
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    [Credential-related source omitted]
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    wget https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/unsloth%20made%20with%20love.png -O unsloth.png
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    4. Let's get the 2nd image at <https://files.worldwildlife.org/wwfcmsprod/images/Sloth_Sitting_iStock_3_12_2014/story_full_width/8l7pbjmj29_iStock_000011145477Large_mini__1_.jpg>
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    [Credential-related source omitted]
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    wget https://files.worldwildlife.org/wwfcmsprod/images/Sloth_Sitting_iStock_3_12_2014/story_full_width/8l7pbjmj29_iStock_000011145477Large_mini__1_.jpg -O picture.png
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    * [Normal SFT fine-tuning notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision.ipynb)
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    * [GRPO/GSPO RL notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision-GRPO.ipynb)
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    [Credential-related source omitted]
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    This Qwen3-VL support also integrates our latest update for even more memory efficient + faster RL including our [Standby feature](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/memory-efficient-rl#unsloth-standby), whi
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    {% hint style="success" %} [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#new-saving-to-gguf-vllm-after-gpt-oss-training)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM,
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    [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#new-saving-to-gguf-vllm-after-gpt-oss-training)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM, HF etc.
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    We also introduced [Unsloth Flex Attention](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support) which enables **>8× longer context lengths**, **>50% less VRAM usage** and **>1.5× faster t
  • Network accessline 6283
    > [**Fine-tune**](#fine-tuning-gpt-oss-with-unsloth) **gpt-oss-20b for free with our** [**Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-Fine-tuning.ipynb)
  • Network accessline 6285
    Trained with [RL](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide), **gpt-oss-120b** rivals o4-mini and **gpt-oss-20b** rivals o3-mini. Both excel at function calling and CoT reasoning, surpassing o1 and GPT-4o.
  • Network accessline 6293
    * 20B: [gpt-oss-**20B**](https://huggingface.co/unsloth/gpt-oss-20b-GGUF)
  • Network accessline 6294
    * 120B: [gpt-oss-**120B**](https://huggingface.co/unsloth/gpt-oss-120b-GGUF)
  • Network accessline 6298
    OpenAI released a standalone parsing and tokenization library called [Harmony](https://github.com/openai/harmony) which allows one to tokenize conversations to OpenAI's preferred format for gpt-oss. The official OpenAI [cookbook article](ht
  • Network accessline 6302
    [Credential-related source omitted]
  • Network accessline 6347
    [Credential-related source omitted]
  • Network accessline 6353
    We made a [MXFP4 inference notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/GPT_OSS_MXFP4_\(20B\)-Inference.ipynb) as well in Tesla T4 Colab!
  • Network accessline 6355
    {% hint style="info" %} [Software emulation](https://triton-lang.org/main/python-api/generated/triton.language.dot_scaled.html) enables targeting hardware architectures without native microscaling operation support. Right now for such case,
  • Network accessline 6356
    [Software emulation](https://triton-lang.org/main/python-api/generated/triton.language.dot_scaled.html) enables targeting hardware architectures without native microscaling operation support. Right now for such case, microscaled lhs/rhs are
  • Network accessline 6401
    [Credential-related source omitted]
  • Network accessline 6403
    To achieve inference speeds of 6+ tokens per second for our Dynamic 4-bit quant, have at least **14GB of unified memory** (combined VRAM and RAM) or **14GB of system RAM** alone. As a rule of thumb, your available memory should match or exc
  • Network accessline 6413
    > **You can run gpt-oss-20b for free with our** [**Google Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/GPT_OSS_MXFP4_\(20B\)-Inference.ipynb)
  • Network accessline 6425
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 6428
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 6429
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 6430
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 6450
    [Credential-related source omitted]
  • Network accessline 6461
    [Credential-related source omitted]
  • Network accessline 6463
    To achieve inference speeds of 6+ tokens per second for our 1-bit quant, we recommend at least **66GB of unified memory** (combined VRAM and RAM) or **66GB of system RAM** alone. As a rule of thumb, your available memory should match or exc
  • Network accessline 6479
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 6482
    apt-get update    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 6483
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 6484
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 6515
    [Credential-related source omitted]
  • Network accessline 6556
    The [latest llama.cpp release](https://github.com/ggml-org/llama.cpp/pull/14363) also introduces high throughput mode. Use `llama-parallel`. Read more about it [here](https://github.com/ggml-org/llama.cpp/tree/master/examples/parallel). You
  • Network accessline 6567
    {% content-ref url="gpt-oss-how-to-run-and-fine-tune/tutorial-how-to-fine-tune-gpt-oss" %} [tutorial-how-to-fine-tune-gpt-oss](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/tutorial-how-to-fine-tune-gpt-oss)
  • Network accessline 6568
    [tutorial-how-to-fine-tune-gpt-oss](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/tutorial-how-to-fine-tune-gpt-oss)
  • Network accessline 6571
    Currently you cannot load QLoRA fine-tuned gpt-oss models in frameworks other than Unsloth, however you can if you do LoRA fine-tuning and utilize our [bf16 weights](https://huggingface.co/unsloth/gpt-oss-20b-BF16) for fine-tuning. This mea
  • Network accessline 6575
    * gpt-oss-20b [Reasoning + Conversational notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-Fine-tuning.ipynb) (recommended)
  • Network accessline 6584
    To enable export/usage of the model for use outside of Unsloth but with Hugging Face, llama.cpp, or vLLM, fine-tuning must be done with LoRA while leveraging our [bf16 weights](https://huggingface.co/unsloth/gpt-oss-20b-BF16). Keep in mind 
  • Network accessline 6608
    We utilized OpenAI's Triton Kernels library directly to allow MXFP4 inference. For finetuning / training however, the MXFP4 kernels do not yet support training, since the backwards pass is not yet implemented. We're actively working on impl
  • Network accessline 6618
    Though gpt-oss supports only reasoning, you can still fine-tune it with a non-reasoning [dataset](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide), but this may affect its reasoning ability. If you want to maintain
  • Network accessline 6622
    [Credential-related source omitted]
  • Network accessline 6631
    {% hint style="success" %} [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM, HF 
  • Network accessline 6632
    [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM, HF etc.
  • Network accessline 6634
    We also introduced [Unsloth Flex Attention](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support) which enables **>8× longer context lengths**, **>50% less VRAM usage** and **>1.5× faster t
  • Network accessline 6637
    > **Quickstart:** Fine-tune gpt-oss-20b for free with our: [Colab notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-Fine-tuning.ipynb)
  • Network accessline 6648
    This section covers fine-tuning gpt-oss using our Google Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks). You can also save and use the gpt-oss notebook into your favorite code editor and follow our [local gpt-oss g
  • Network accessline 6657
    [Credential-related source omitted]
  • Network accessline 6659
    [Credential-related source omitted]
  • Network accessline 6666
    We’ll load **`gpt-oss-20b`**  using Unsloth's [linearized version](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/..#making-efficient-gpt-oss-fine-tuning-work) (as no other version will work).&#x20;
  • Network accessline 6675
    [Credential-related source omitted]
  • Network accessline 6679
    [Credential-related source omitted]
  • Network accessline 6686
    Now it's time to adjust your training hyperparameters. For a deeper dive into how, when, and what to tune, check out our [detailed hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
  • Network accessline 6688
    {% hint style="info" %} To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.
  • Network accessline 6689
    To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.&#x20;
  • Network accessline 6694
    [Credential-related source omitted]
  • Network accessline 6703
    [Credential-related source omitted]
  • Network accessline 6710
    For this example, we will use the [`HuggingFaceH4/Multilingual-Thinking`](https://huggingface.co/datasets/HuggingFaceH4/Multilingual-Thinking). This dataset contains chain-of-thought reasoning examples derived from user questions translated
  • Network accessline 6716
    [Credential-related source omitted]
  • Network accessline 6745
    [Credential-related source omitted]
  • Network accessline 6747
    One unique feature of gpt-oss is its use of the [**OpenAI Harmony format**](https://github.com/openai/harmony)**,** which supports structured conversations, reasoning output, and tool calling. This format includes tags such as `<|start|>` ,
  • Network accessline 6749
    {% hint style="info" %} 🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 6750
    🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 6753
    Feel free to adapt the prompt and structure to suit your own dataset or use-case. For more guidance, refer to our [dataset guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide).
  • Network accessline 6760
    We've pre-selected training hyperparameters for optimal results. However, you can modify them based on your specific use case. Refer to our [hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparamet
  • Network accessline 6764
    [Credential-related source omitted]
  • Network accessline 6768
    [Credential-related source omitted]
  • Network accessline 6779
    [Credential-related source omitted]
  • Network accessline 6783
    [Credential-related source omitted]
  • Network accessline 6812
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 6815
    apt-get update    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 6816
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 6817
    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 6837
    [Credential-related source omitted]
  • Network accessline 6845
    {% hint style="info" %} We recommend downloading or incorporating elements from our Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks) into your local setup for easier use.
  • Network accessline 6846
    We recommend downloading or incorporating elements from our Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks) into your local setup for easier use.
  • Network accessline 6854
    Ensure your device is [Unsloth compatible](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements) and you can read our detailed [installation guide](https://docs.unsloth.ai/get-started/install-and-update).
  • Network accessline 6863
    !uv pip install -qqq \     "torch>=2.8.0" "triton>=3.4.0" {install_numpy} \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
  • Network accessline 6864
    "torch>=2.8.0" "triton>=3.4.0" {install_numpy} \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \     "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
  • Network accessline 6865
    "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
  • Network accessline 6866
    "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
  • Network accessline 6867
    torchvision bitsandbytes \     git+https://github.com/huggingface/transformers \     git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels
  • Network accessline 6868
    git+https://github.com/huggingface/transformers \
  • Network accessline 6869
    git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels
  • Network accessline 6878
    We’ll load **`gpt-oss-20b`**  using Unsloth's [linearized version](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/..#making-efficient-gpt-oss-fine-tuning-work) (as no other version will work for QLoRA fine-tuning). Configur
  • Network accessline 6894
    </strong>    "unsloth/gpt-oss-20b", # 20B model using MXFP4 format     "unsloth/gpt-oss-120b", ] # More models at https://huggingface.co/unsloth
  • Network accessline 6896
    ] # More models at https://huggingface.co/unsloth
  • Network accessline 6915
    Now it's time to adjust your training hyperparameters. For a deeper dive into how, when, and what to tune, check out our [detailed hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
  • Network accessline 6917
    {% hint style="info" %} To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.
  • Network accessline 6918
    To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.&#x20;
  • Network accessline 6946
    For this example, we will use the [`HuggingFaceH4/Multilingual-Thinking`](https://huggingface.co/datasets/HuggingFaceH4/Multilingual-Thinking). This dataset contains chain-of-thought reasoning examples derived from user questions translated
  • Network accessline 6990
    [Credential-related source omitted]
  • Network accessline 6992
    One unique feature of gpt-oss is its use of the [**OpenAI Harmony format**](https://github.com/openai/harmony)**,** which supports structured conversations, reasoning output, and tool calling. This format includes tags such as `<|start|>` ,
  • Network accessline 6994
    {% hint style="info" %} 🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 6995
    🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 6998
    Feel free to adapt the prompt and structure to suit your own dataset or use-case. For more guidance, refer to our [dataset guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide).
  • Network accessline 7005
    We've pre-selected training hyperparameters for optimal results. However, you can modify them based on your specific use case. Refer to our [hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparamet
  • Network accessline 7035
    [Credential-related source omitted]
  • Network accessline 7064
    [Credential-related source omitted]
  • Network accessline 7091
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 7094
    apt-get update    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7095
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7096
    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 7124
    As always, feel free to drop by our [Discord](https://discord.com/invite/unsloth) or [Reddit](https://www.reddit.com/r/unsloth/) if you need any help.
  • Network accessline 7130
    Yes you can now [save/export your gpt-oss fine-tuned](https://docs.unsloth.ai/models/long-context-gpt-oss-training#new-saving-to-gguf-vllm-after-gpt-oss-training) model using Unsloth's new update!
  • Network accessline 7142
    Yes! Unsloth now supports RL for gpt-oss with GRPO/GSPO. We made it work on a free Kaggle notebook and achieved the fastest inference for RL. [Read more here](https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning)
  • Network accessline 7146
    ***Acknowledgements:** A huge thank you to* [*Eyera*](https://huggingface.co/Orenguteng) *for contributing to this guide!*
  • Network accessline 7161
    [Credential-related source omitted]
  • Network accessline 7167
    A huge thank you to Rohan Pandey for his [Flex Attention implementation](https://x.com/khoomeik/status/1955693558914310608), which directly inspired the development of Unsloth's Flex Attention implementation.
  • Network accessline 7173
    OpenAI leveraged **Attention Sinks** from the Efficient Streaming Language Models with Attention Sinks [paper](https://arxiv.org/abs/2309.17453) which shows that you can use a small sliding window, except you must add a global attention on 
  • Network accessline 7175
    [Credential-related source omitted]
  • Network accessline 7181
    [Credential-related source omitted]
  • Network accessline 7183
    The paper also shows that the [Attention Is Off By One method](https://www.evanmiller.org/attention-is-off-by-one.html) does partially work, except one must also add a few extra sink tokens to get lower perplexities. **The paper shows that 
  • Network accessline 7185
    [Credential-related source omitted]
  • Network accessline 7189
    Flex Attention <https://pytorch.org/blog/flexattention/> is extremely powerful as it provides the practitioner 2 customization routes for the attention mechanism - a **score modifier (f)** and a **masking function (M)**.
  • Network accessline 7207
    By using some visualization utilities from [Flex Attention's Github repo](https://github.com/meta-pytorch/attention-gym), we can visualize this. Assume the sequence length was 16, and a sliding window of 5. On the left is the last sink colu
  • Network accessline 7213
    [Credential-related source omitted]
  • Network accessline 7219
    [Credential-related source omitted]
  • Network accessline 7223
    **Interesting finding**: The official Flex Attention sliding window implementations considers the window size as the number of last tokens **PLUS ONE** as it includes the current token. The HuggingFace and GPT OSS implementations strictly o
  • Network accessline 7240
    [Credential-related source omitted]
  • Network accessline 7246
    [Credential-related source omitted]
  • Network accessline 7250
    We also confirmed through OpenAI's official GPT-OSS implementation on whether we attend to the last N or N+1 tokens here: <https://github.com/openai/gpt-oss/blob/main/gpt_oss/torch/model.py>
  • Network accessline 7260
    [Credential-related source omitted]
  • Network accessline 7290
    [Credential-related source omitted]
  • Network accessline 7332
    To run inference on the merged model, you can use vLLM and Llama.cpp among others. OpenAI recommends these [inference settings](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/..#recommended-settings) for both models: `tempe
  • Network accessline 7336
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 7339
    apt-get update    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7340
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7341
    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 7368
    # build from source    git clone https://github.com/sgl-project/sglang
  • Network accessline 7369
    git clone https://github.com/sgl-project/sglang
  • Network accessline 7374
    # ROCm 6.3    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/rocm6.3
  • Network accessline 7375
    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/rocm6.3
  • Network accessline 7376
    git clone https://github.com/triton-lang/triton
  • Network accessline 7380
    # hopper    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu126
  • Network accessline 7381
    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu126
  • Network accessline 7384
    # blackwell cu128    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
  • Network accessline 7385
    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu128
  • Network accessline 7386
    pip3 install https://github.com/sgl-project/whl/releases/download/v0.3.2/sgl_kernel-0.3.2+cu128-cp39-abi3-manylinux2014_x86_64.whl
  • Network accessline 7388
    # blackwell cu129    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu129
  • Network accessline 7389
    pip3 install torch==2.8.0 torchvision torchaudio --index-url https://download.pytorch.org/whl/test/cu129
  • Network accessline 7390
    pip3 install https://github.com/sgl-project/whl/releases/download/v0.3.2/sgl_kernel-0.3.2-cp39-abi3-manylinux2014_x86_64.whl
  • Network accessline 7403
    url = f"http://localhost:8000/v1/chat/completions"
  • Network accessline 7410
    response = requests.post(url, json=data)
  • Network accessline 7436
    We [recently collaborated with Hugging Face](https://github.com/huggingface/transformers/pull/40197) to resolve inference issues by using OpenAI’s kernels and ensuring that `swiglu_limit = 7.0` is correctly applied during MXFP4 inference.
  • Network accessline 7442
    [Credential-related source omitted]
  • Network accessline 7454
    [Credential-related source omitted]
  • Network accessline 7458
    OpenAI's sink token implementation is [provided here](https://github.com/openai/gpt-oss/blob/main/gpt_oss/torch/model.py). We provide it below:
  • Network accessline 7487
    The HuggingFace transformers implementation is [provided here](https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt_oss/modeling_gpt_oss.py). We also provide it below:
  • Network accessline 7531
    GLM-4.6 is the latest reasoning model from **Z.ai**, achieving SOTA performance on coding and agent benchmarks while offering improved conversational chats. The full 355B parameter model requires **400GB** of disk space, while the Unsloth D
  • Network accessline 7538
    You asked for benchmarks on our quants, so we’re showcasing Aider Polyglot results! Our Dynamic 3-bit DeepSeek V3.1 GGUF scores **75.6%**, surpassing many full-precision SOTA LLMs. [Read more.](https://docs.unsloth.ai/new/unsloth-dynamic-gg
  • Network accessline 7541
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and Aider performance, meaning you can run & fine-tune quantized GLM LLMs with minimal accuracy loss.
  • Network accessline 7551
    [Credential-related source omitted]
  • Network accessline 7583
    {% stepper %} {% step %} Install `ollama` if you haven't already! To run more variants of the model, [see here](https://docs.unsloth.ai/deepseek-v3.1-how-to-run-locally#run-in-llama.cpp).
  • Network accessline 7585
    Install `ollama` if you haven't already! To run more variants of the model, [see here](https://docs.unsloth.ai/deepseek-v3.1-how-to-run-locally#run-in-llama.cpp).
  • Network accessline 7588
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
  • Dangerous shell operationline 7590
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 7590
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 7626
    {% stepper %} {% step %} Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or jus
  • Network accessline 7628
    Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 7631
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7632
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7633
    git clone https://github.com/ggerganov/llama.cpp
  • Access to secretsline 7679
    [Credential-related source omitted]
  • Network accessline 7741
    import json openai_client = OpenAI(     base_url = "http://127.0.0.1:8001/v1",
  • Network accessline 7742
    [Credential-related source omitted]
  • Network accessline 7743
    base_url = "http://127.0.0.1:8001/v1",
  • Access to secretsline 7744
    [Credential-related source omitted]
  • Network accessline 7759
    We also uploaded [IQ4\_NL](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF/tree/main/IQ4_NL) and [Q4\_1](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF/tree/main/Q4_1) quants which run specifically faster for ARM and Apple devices resp
  • Network accessline 7761
    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type + Link</th><th>Disk Size</th><th>Details</th></tr></thead><tbody><tr><td>1.66bit</td><td><a href="https://huggingface.co/unsloth/GLM-4.6-GGUF?show_file_info=GLM-4.6-UD-TQ1_
  • Network accessline 7775
    Llama.cpp also introduces high throughput mode. Use `llama-parallel`. Read more about it [here](https://github.com/ggml-org/llama.cpp/tree/master/examples/parallel). You can also **quantize the KV cache to 4bits** for example to reduce VRAM
  • Network accessline 7802
    <table><thead><tr><th width="249">Dynamic GGUFs</th><th>Dynamic 4-bit + FP8</th><th>16-bit Instruct</th></tr></thead><tbody><tr><td><ul><li><a href="https://huggingface.co/unsloth/granite-4.0-h-350m-GGUF">H-350M</a></li><li><a href="https:/
  • Network accessline 7804
    You can also view our [Granite-4.0 collection](https://huggingface.co/collections/unsloth/granite-40-68ddf64b4a8717dc22a9322d) for all uploads including Dynamic Float8 quants etc.
  • Network accessline 7841
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
  • Dangerous shell operationline 7843
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 7843
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 7854
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 7857
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7858
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 7859
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 7878
    [Credential-related source omitted]
  • Network accessline 7917
    * **Granite-4.0** [**free fine-tuning notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb)
  • Network accessline 7918
    * Granite-4.0-350M [fine-tuning notebook](https://github.com/unslothai/notebooks/blob/main/nb/Granite4.0_350M.ipynb)
  • Network accessline 7924
    [Credential-related source omitted]
  • Network accessline 7953
    DeepSeek’s V3.1 and **Terminus** update introduces hybrid reasoning inference, combining 'think' and 'non-think' into one model. The full 671B parameter model requires 715GB of disk space. The quantized dynamic 2-bit version uses 245GB (-75
  • Network accessline 7955
    {% hint style="success" %} **NEW:** DeepSeek-V3.1-Terminus out now: [DeepSeek-V3.1-Terminus-GGUF](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)\
  • Network accessline 7956
    **NEW:** DeepSeek-V3.1-Terminus out now: [DeepSeek-V3.1-Terminus-GGUF](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)\
  • Network accessline 7958
    [**Sept 10, 2025 update:**](https://docs.unsloth.ai/new/unsloth-dynamic-ggufs-on-aider-polyglot) You asked for tougher benchmarks, so we’re showcasing Aider Polyglot results! Our Dynamic 3-bit DeepSeek V3.1 GGUF scores **75.6%**, surpassing
  • Network accessline 7963
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized DeepSeek LLMs with minimal accuracy loss.
  • Network accessline 7987
    1. DeepSeek V3.1 is a hybrid reasoning model, meaning you can change the chat template to enable reasoning. The chat template introduced `thinking = True` , but other models use `enable_thinking = True` . We added the option to use `enable_
  • Network accessline 7988
    2. llama.cpp's jinja renderer via [minja](https://github.com/google/minja) does not allow the use of extra arguments in the `.split()` command, so using `.split(text, 1)` works in Python, but not in minja. We had to change this to make llam
  • Network accessline 7995
    According to [DeepSeek](https://huggingface.co/deepseek-ai/DeepSeek-V3.1), these are the recommended settings for V3.1 inference:
  • Network accessline 8060
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
  • Dangerous shell operationline 8062
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8062
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8095
    {% step %} Open WebUI also made a [step-by-step tutorial](https://docs.openwebui.com/tutorials/integrations/deepseekr1-dynamic/) on how to run R1 and for V3.1, you will just need to replace R1 with the new V3.1 quant.
  • Network accessline 8096
    Open WebUI also made a [step-by-step tutorial](https://docs.openwebui.com/tutorials/integrations/deepseekr1-dynamic/) on how to run R1 and for V3.1, you will just need to replace R1 with the new V3.1 quant.
  • Network accessline 8102
    {% stepper %} {% step %} Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or jus
  • Network accessline 8104
    Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 8107
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8108
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8109
    git clone https://github.com/ggerganov/llama.cpp
  • Access to secretsline 8156
    [Credential-related source omitted]
  • Network accessline 8231
    import json openai_client = OpenAI(     base_url = "http://127.0.0.1:8001/v1",
  • Network accessline 8232
    [Credential-related source omitted]
  • Network accessline 8233
    base_url = "http://127.0.0.1:8001/v1",
  • Access to secretsline 8234
    [Credential-related source omitted]
  • Network accessline 8249
    We also uploaded [IQ4\_NL](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF/tree/main/IQ4_NL) and [Q4\_1](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF/tree/main/Q4_1) quants which run specifically faster for ARM and Apple devices resp
  • Network accessline 8251
    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type + Link</th><th>Disk Size</th><th>Details</th></tr></thead><tbody><tr><td>1.66bit</td><td><a href="https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF?show_file_info=DeepSeek-
  • Network accessline 8253
    We've also uploaded versions in [BF16 format](https://huggingface.co/unsloth/DeepSeek-V3.1-BF16), and original [FP8 (float8) format](https://huggingface.co/unsloth/DeepSeek-V3.1).
  • Network accessline 8267
    The [latest llama.cpp release](https://github.com/ggml-org/llama.cpp/pull/14363) also introduces high throughput mode. Use `llama-parallel`. Read more about it [here](https://github.com/ggml-org/llama.cpp/tree/master/examples/parallel). You
  • Network accessline 8286
    Qwen3-Coder is Qwen’s new series of coding agent models, available in 30B (**Qwen3-Coder-Flash**) and 480B parameters. **Qwen3-480B-A35B-Instruct** achieves SOTA coding performance rivalling Claude Sonnet-4, GPT-4.1, and [Kimi K2](https://d
  • Network accessline 8288
    We also uploaded Qwen3-Coder with native <mark style="background-color:purple;">**1M context length**</mark> extended by YaRN and full-precision 8bit and 16bit versions. [Unsloth](https://github.com/unslothai/unsloth) also now supports fine
  • Network accessline 8296
    {% hint style="success" %} **Does** [**Unsloth Dynamic Quants**](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) **work?** Yes, and very well. In third-party testing on the Aider Polyglot benchmark, the **UD-Q4\_K\_XL (276GB)** dy
  • Network accessline 8297
    **Does** [**Unsloth Dynamic Quants**](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) **work?** Yes, and very well. In third-party testing on the Aider Polyglot benchmark, the **UD-Q4\_K\_XL (276GB)** dynamic quant nearly matched 
  • Network accessline 8302
    | Dynamic 2.0 GGUF (to run)                                                                                                                                                                                                     | 1M Context Dyn
  • Network accessline 8304
    | <ul><li><a href="https://huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF">30B-A3B-Instruct</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF">480B-A35B-Instruct</a></li></ul> | <ul><li><a hre
  • Network accessline 8383
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
  • Dangerous shell operationline 8385
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8385
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8396
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 8399
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8400
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8401
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 8421
    [Credential-related source omitted]
  • Network accessline 8448
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 8451
    apt-get update    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8452
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8453
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 8485
    [Credential-related source omitted]
  • Network accessline 8520
    {% hint style="success" %} Also don't forget about the new Qwen3 update. Run [**Qwen3-235B-A22B-Instruct-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507) locally with llama.cpp.
  • Network accessline 8521
    Also don't forget about the new Qwen3 update. Run [**Qwen3-235B-A22B-Instruct-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507) locally with llama.cpp.
  • Network accessline 8536
    The [latest llama.cpp release](https://github.com/ggml-org/llama.cpp/pull/14363) also introduces high throughput mode. Use `llama-parallel`. Read more about it [here](https://github.com/ggml-org/llama.cpp/tree/master/examples/parallel). You
  • Network accessline 8548
    We also uploaded 1 million context length GGUFs via YaRN scaling [here](https://app.gitbook.com/o/HpyELzcNe0topgVLGCZY/s/xhOjnexMCB3dmuQFQ2Zq/).
  • Network accessline 8554
    1. Download the first file at <https://huggingface.co/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF/tree/main/UD-Q2\\_K\\_XL> for UD-Q2\_K\_XL, and replace your current file
  • Network accessline 8555
    2. Use `snapshot_download` as usual as in <https://docs.unsloth.ai/basics/qwen3-coder-how-to-run-locally#llama.cpp-run-qwen3-tutorial> which will auto override the old files
  • Network accessline 8556
    3. Use the new chat template via `--chat-template-file`. See [GGUF chat template](https://huggingface.co/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF?chat_template=default) or [chat\_template.jinja](https://huggingface.co/unsloth/Qwen3-Coder
  • Network accessline 8557
    4. As an extra, we also made 1 single 150GB UD-IQ1\_M file (so Ollama works) at <https://huggingface.co/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF/blob/main/Qwen3-Coder-480B-A35B-Instruct-UD-IQ1\\_M.gguf>
  • Network accessline 8559
    This should solve issues like: <https://github.com/ggml-org/llama.cpp/issues/14915>
  • Network accessline 8635
    Google releases Gemma 3 with a new 270M model and the previous 1B, 4B, 12B, and 27B sizes. The 270M and 1B are text-only, while larger models handle both text and vision. We provide GGUFs, and a guide of how to run it effectively, and how t
  • Network accessline 8637
    {% hint style="success" %} **NEW Aug 14, 2025 Update:** Try our fine-tuning [Gemma 3 (270M) notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(270M\).ipynb) and [GGUFs to run](https://huggingface.co
  • Network accessline 8638
    **NEW Aug 14, 2025 Update:** Try our fine-tuning [Gemma 3 (270M) notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(270M\).ipynb) and [GGUFs to run](https://huggingface.co/collections/unsloth/gemma-
  • Network accessline 8640
    Also see our [Gemma 3n Guide](https://docs.unsloth.ai/models/gemma-3-how-to-run-and-fine-tune/gemma-3n-how-to-run-and-fine-tune).
  • Network accessline 8647
    * Fine-tune Gemma 3 (4B) with vision support using our [free Colab notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision.ipynb)
  • Network accessline 8656
    | GGUF                                                                                                                                                                                                                                          
  • Network accessline 8658
    | <ul><li><a href="https://huggingface.co/unsloth/gemma-3-270m-it-GGUF">270M</a> - new</li><li><a href="https://huggingface.co/unsloth/gemma-3-1b-it-GGUF">1B</a></li><li><a href="https://huggingface.co/unsloth/gemma-3-4b-it-GGUF">4B</a></li
  • Network accessline 8695
    To run the models on your phone, we recommend using any mobile app that can run GGUFs locally on edge devices like phones. After fine-tuning you can export it to GGUF then run it locally on your phone. Ensure your phone has enough RAM/power
  • Network accessline 8706
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
  • Dangerous shell operationline 8708
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8708
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8719
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 8722
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8723
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8724
    git clone https://github.com/ggerganov/llama.cpp
  • Network accessline 8738
    3. **OR** download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose Q4\_K\_M, or other quantized versions (like BF16 full precision). More versions at: <https://huggingface.co/unsloth/gemma-3-27b-i
  • Access to secretsline 8743
    [Credential-related source omitted]
  • Network accessline 8791
    The full input from our <https://unsloth.ai/blog/deepseekr1-dynamic> 1.58bit blog is:
  • Network accessline 8819
    * Try our new [Gemma 3 (270M) notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(270M\).ipynb) which makes the 270M parameter model very smart at playing chess and can predict the next chess move.
  • Network accessline 8820
    * Fine-tune Gemma 3 (4B) using our notebooks for: [**Text**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb) or [**Vision**](https://colab.research.google.com/github/unslothai/notebooks/blob/ma
  • Network accessline 8821
    * Or fine-tune [Gemma 3n (E4B)](https://docs.unsloth.ai/models/gemma-3-how-to-run-and-fine-tune/gemma-3n-how-to-run-and-fine-tune) with [Text](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversa
  • Network accessline 8837
    [Credential-related source omitted]
  • Network accessline 8843
    [Credential-related source omitted]
  • Network accessline 8854
    Google’s Gemma 3n multimodal model handles image, audio, video, and text inputs. Available in 2B and 4B sizes, it supports 140 languages for text and multimodal tasks. You can now run and fine-tune **Gemma-3n-E4B** and **E2B** locally using
  • Network accessline 8856
    > **Fine-tune Gemma 3n with our** [**free Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb)
  • Network accessline 8864
    <table><thead><tr><th width="249">Dynamic 2.0 GGUF (text only)</th><th width="285">Dynamic 4-bit Instruct (to fine-tune)</th><th>16-bit Instruct</th></tr></thead><tbody><tr><td><ul><li><a href="https://huggingface.co/unsloth/gemma-3n-E2B-it
  • Network accessline 8866
    **See all our Gemma 3n uploads including base and more formats in** [**our collection here**](https://huggingface.co/collections/unsloth/gemma-3n-685d3874830e49e1c93f9339)**.**
  • Dangerous shell operationline 8917
    ollama rm hf.co/unsloth/gemma-3n-E4B-it-GGUF:UD-Q4_K_XL
  • Network accessline 8927
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
  • Dangerous shell operationline 8929
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8929
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 8940
    {% hint style="info" %} We would first like to thank [Xuan-Son Nguyen](https://x.com/ngxson) from Hugging Face, [Georgi Gerganov](https://x.com/ggerganov) from the llama.cpp team on making Gemma 3N work in llama.cpp!
  • Network accessline 8941
    We would first like to thank [Xuan-Son Nguyen](https://x.com/ngxson) from Hugging Face, [Georgi Gerganov](https://x.com/ggerganov) from the llama.cpp team on making Gemma 3N work in llama.cpp!
  • Network accessline 8944
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 8947
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8948
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 8949
    git clone https://github.com/ggerganov/llama.cpp
  • Access to secretsline 8967
    [Credential-related source omitted]
  • Network accessline 9018
    Gemma 3n, like [Gemma 3](https://docs.unsloth.ai/models/gemma-3-how-to-run-and-fine-tune/..#unsloth-fine-tuning-fixes-for-gemma-3), had issues running on <mark style="background-color:yellow;">**Flotat16 GPUs such as Tesla T4s in Colab**</m
  • Network accessline 9020
    * Fine-tune Gemma 3n-E4B with our [free Colab notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb)
  • Network accessline 9021
    * **Audio:** Fine-tune Gemma 3n-E4B with our [**Audio only notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Audio.ipynb)
  • Network accessline 9022
    * **Vision**: Fine-tune Gemma 3n-E4B with our [**Vision only notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Vision.ipynb)
  • Network accessline 9044
    * Fine-tune Gemma 3 (4B) with Vision support using our [free Colab notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision.ipynb)
  • Network accessline 9046
    {% hint style="info" %} If you love Kaggle, Google is holding a competition where the best model fine-tuned with Gemma 3n and Unsloth will win a $10K prize! [See more here](https://www.kaggle.com/competitions/google-gemma-3n-hackathon).
  • Network accessline 9047
    If you love Kaggle, Google is holding a competition where the best model fine-tuned with Gemma 3n and Unsloth will win a $10K prize! [See more here](https://www.kaggle.com/competitions/google-gemma-3n-hackathon).
  • Network accessline 9054
    Thanks to discussions from [Michael](https://github.com/mxyng) from the Ollama team and also [Xuan](https://x.com/ngxson) from Hugging Face, there were 2 issues we had to fix specifically for GGUFs:
  • Network accessline 9056
    1. The `add_shared_kv_layers` parameter was accidentally encoded in `float32` which is fine, but becomes slightly complicated to decode on Ollama's side - a simple change to `uint32` solves the issue. [Pull request](https://github.com/ggml-
  • Network accessline 9058
    1. As an [update](https://huggingface.co/unsloth/gemma-3n-E4B-it-GGUF/discussions/4), [Matt](https://huggingface.co/WBB2500) mentioned we can also use Q4\_0, Q4\_1, Q5\_0, Q5\_1 for the embeddings - and we confirmed it does also work in Oll
  • Network accessline 9066
    Our previous fixes for Gemma 3 is [discussed here](https://docs.unsloth.ai/models/gemma-3-how-to-run-and-fine-tune). For Gemma 3, we found that activations exceed float16's maximum range of **65504.**
  • Network accessline 9073
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 9103
    We found Gemma 3N's vision encoder to be quite unique as well since it re-uses hidden states. This unfortunately limits the usage of [Unsloth's gradient checkpointing](https://unsloth.ai/blog/long-context), which could have reduced VRAM usa
  • Network accessline 9114
    [Credential-related source omitted]
  • Network accessline 9116
    {% hint style="success" %} **Fine-tune Gemma 3n with our** [**free Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb)
  • Network accessline 9117
    **Fine-tune Gemma 3n with our** [**free Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb)
  • Network accessline 9124
    So what is so special about Gemma 3n you ask? It is based on [Matryoshka Transformer or MatFormer](https://arxiv.org/abs/2310.07707) architecture meaning that each transformer layer/block embeds/nests FFNs of progressively smaller sizes. Th
  • Network accessline 9132
    [Credential-related source omitted]
  • Network accessline 9134
    {% hint style="info" %} **Fine-tune and try multimodal Gemma 3n inference with our** [**free Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb)
  • Network accessline 9135
    **Fine-tune and try multimodal Gemma 3n inference with our** [**free Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb)
  • Network accessline 9145
    {% hint style="success" %} **NEW!** Qwen3 got an update in July 2025. Run & fine-tune the latest model: [**Qwen-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507)
  • Network accessline 9146
    **NEW!** Qwen3 got an update in July 2025. Run & fine-tune the latest model: [**Qwen-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507)
  • Network accessline 9149
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized Qwen LLMs with minimal accuracy loss.
  • Network accessline 9153
    [Unsloth](https://github.com/unslothai/unsloth) also now supports fine-tuning and [Reinforcement Learning (RL)](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) of Qwen3 and Qwen3 MOE models — 2x faster, with 70% less VR
  • Network accessline 9159
    | Dynamic 2.0 GGUF (to run)                                                                                                                                                                                                                     
  • Network accessline 9161
    | <ul><li><a href="https://huggingface.co/unsloth/Qwen3-0.6B-GGUF">0.6B</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-1.7B-GGUF">1.7B</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-4B-GGUF">4B</a></li><li><a href="htt
  • Network accessline 9208
    Qwen3 models come with built-in "thinking mode" to boost reasoning and improve response quality - similar to how [QwQ-32B](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms/qwq-32b-how-to-run-effectively) worked. Instru
  • Network accessline 9275
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 9298
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 9301
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 9303
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 9315
    [Credential-related source omitted]
  • Access to secretsline 9359
    [Credential-related source omitted]
  • Network accessline 9405
    * [Qwen3 (14B) Reasoning + Conversational notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb) (recommended)
  • Network accessline 9406
    * [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) **- Advanced GRPO LoRA**
  • Network accessline 9407
    * [Qwen3 (14B) Alpaca notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Alpaca.ipynb) (for Base models)
  • Network accessline 9440
    [Credential-related source omitted]
  • Network accessline 9450
    If you'd like to read a full end-to-end guide on how to use Unsloth notebooks for fine-tuning or just learn about fine-tuning, creating [datasets](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide) etc., view our [co
  • Network accessline 9452
    {% content-ref url="../get-started/fine-tuning-llms-guide" %} [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide)
  • Network accessline 9453
    [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide)
  • Network accessline 9456
    {% content-ref url="../get-started/fine-tuning-llms-guide/datasets-guide" %} [datasets-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide)
  • Network accessline 9457
    [datasets-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide)
  • Network accessline 9465
    [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) **notebook - Advanced GRPO LoRA**
  • Network accessline 9475
    [Credential-related source omitted]
  • Network accessline 9482
    Qwen released 2507 (July 2025) updates for their [Qwen3](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune) 4B, 30B and 235B models, introducing both "thinking" and "non-thinking" variants. The non-thinking '**Qwen3-30B-A3B-Inst
  • Network accessline 9486
    [Unsloth](https://github.com/unslothai/unsloth) also now supports fine-tuning and [Reinforcement Learning (RL)](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) of Qwen3-2507 models — 2x faster, with 70% less VRAM, and 8
  • Network accessline 9490
    **Unsloth** [**Dynamic 2.0**](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) **GGUFs:**
  • Network accessline 9492
    | Model                    | GGUFs to run:                                                                                                                                                 | | ------------------------ | ----------------------
  • Network accessline 9493
    | ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Qwen3-**4B-2507**        | [Instruct](https://hug
  • Network accessline 9494
    | Qwen3-**4B-2507**        | [Instruct](https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF) • [Thinking ](https://huggingface.co/unsloth/Qwen3-4B-Thinking-2507-GGUF)              |
  • Network accessline 9495
    | Qwen3-**30B-A3B**-2507   | [Instruct](#llama.cpp-run-qwen3-30b-a3b-instruct-2507-tutorial) • [Thinking](https://huggingface.co/unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF)                 |
  • Network accessline 9496
    | Qwen3-**235B-A22B**-2507 | [Instruct](https://huggingface.co/unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF) • [Thinking](https://huggingface.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF) |
  • Network accessline 9555
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 9568
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 9571
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 9573
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 9593
    [Credential-related source omitted]
  • Network accessline 9623
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 9636
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 9639
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 9641
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 9661
    [Credential-related source omitted]
  • Network accessline 9697
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 9700
    apt-get update    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 9702
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 9730
    [Credential-related source omitted]
  • Network accessline 9791
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 9794
    apt-get update    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 9796
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 9824
    [Credential-related source omitted]
  • Network accessline 9870
    The [latest llama.cpp release](https://github.com/ggml-org/llama.cpp/pull/14363) also introduces high throughput mode. Use `llama-parallel`. Read more about it [here](https://github.com/ggml-org/llama.cpp/tree/master/examples/parallel). You
  • Network accessline 9884
    Unsloth makes [Qwen3](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/..#fine-tuning-qwen3-with-unsloth) and Qwen3-2507 fine-tuning 2x faster, use 70% less VRAM and supports 8x longer context lengths.  Because Qwen3-2507 was o
  • Network accessline 9888
    * [Qwen3 (14B) Reasoning + Conversational notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb)&#x20;
  • Network accessline 9900
    **Qwen3-2507-4B notebooks for:** [Thinking](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-Thinking.ipynb) and [Instruct](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen
  • Network accessline 9921
    [Credential-related source omitted]
  • Network accessline 9928
    [Credential-related source omitted]
  • Network accessline 9935
    DeepSeek-R1-0528 is DeepSeek's new update to their R1 reasoning model. The full 671B parameter model requires 715GB of disk space. The quantized dynamic **1.66-bit** version uses 162GB (-80% reduction in size). GGUF: [DeepSeek-R1-0528-GGUF]
  • Network accessline 9937
    DeepSeek also released a R1-0528 distilled version by fine-tuning Qwen3 (8B). The distill achieves similar performance to Qwen3 (235B). ***You can also*** [***fine-tune Qwen3 Distill***](#fine-tuning-deepseek-r1-0528-with-unsloth) ***with U
  • Network accessline 9939
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized DeepSeek LLMs with minimal accuracy loss.
  • Network accessline 9946
    NEW: Huge improvements to tool calling and chat template fixes.\ \ New [TQ1\_0 dynamic 1.66-bit quant](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSeek-R1-0528-UD-TQ1_0.gguf) - 162GB in size. Ideal for 192GB RAM 
  • Network accessline 9947
    \ New [TQ1\_0 dynamic 1.66-bit quant](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSeek-R1-0528-UD-TQ1_0.gguf) - 162GB in size. Ideal for 192GB RAM (including Mac) and Ollama users. Try: `ollama run hf.co/unsloth/
  • Network accessline 9948
    New [TQ1\_0 dynamic 1.66-bit quant](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSeek-R1-0528-UD-TQ1_0.gguf) - 162GB in size. Ideal for 192GB RAM (including Mac) and Ollama users. Try: `ollama run hf.co/unsloth/De
  • Network accessline 9967
    According to [DeepSeek](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528), these are the recommended settings for R1 (R1-0528 and Qwen3 distill should use the same settings) inference:
  • Network accessline 9994
    * Qwen3 (8B) distill: [DeepSeek-R1-0528-Qwen3-8B-GGUF](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF)
  • Network accessline 9997
    We also uploaded [IQ4\_NL](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF/tree/main/IQ4_NL) and [Q4\_1](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF/tree/main/Q4_1) quants which run specifically faster for ARM and Apple device
  • Network accessline 9999
    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type + Link</th><th>Disk Size</th><th>Details</th></tr></thead><tbody><tr><td>1.66bit</td><td><a href="https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSe
  • Network accessline 10001
    We've also uploaded versions in [BF16 format](https://huggingface.co/unsloth/DeepSeek-R1-0528-BF16), and original [FP8 (float8) format](https://huggingface.co/unsloth/DeepSeek-R1-0528).
  • Network accessline 10010
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 10031
    Open WebUI has made an step-by-step tutorial on how to run R1 here and for R1-0528, you will just need to replace R1 with the new 0528 quant: [docs.openwebui.com/tutorials/integrations/deepseekr1-dynamic/](https://docs.openwebui.com/tutoria
  • Network accessline 10051
    1. <mark style="background-color:yellow;">**To run the full 720GB R1-0528 model,**</mark> [<mark style="background-color:yellow;">**see here**</mark>](#run-full-r1-0528-on-llama.cpp)<mark style="background-color:yellow;">**.**</mark> Obtain
  • Network accessline 10054
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 10056
    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 10071
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 10074
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 10076
    git clone https://github.com/ggerganov/llama.cpp
  • Network accessline 10113
    3. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose `UD-IQ1_S`(dynamic 1.78bit quant) or other quantized versions like `Q4_K_M` . We <mark style="background-color:green;">**recommend using
  • Access to secretsline 10120
    [Credential-related source omitted]
  • Network accessline 10157
    You can also test our dynamic quants via [r/Localllama](https://www.reddit.com/r/LocalLLaMA/comments/1j7r47l/i_just_made_an_animation_of_a_ball_bouncing/) which tests the model on creating a basic physics engine to simulate balls rotating i
  • Network accessline 10159
    [Credential-related source omitted]
  • Network accessline 10192
    * [**DeepSeek-R1-0528-Qwen3-8B notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/DeepSeek_R1_0528_Qwen3_\(8B\)_GRPO.ipynb) **- new**
  • Network accessline 10209
    **Magistral-Small-2509** is a reasoning LLM developed by Mistral AI. It excels at coding and mathematics and supports multiple languages.  Magistral supports a 128k token context window and was finetuned from [**Mistral-Small-3.2**](https:/
  • Network accessline 10221
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized Mistral LLMs with minimal accuracy loss.
  • Network accessline 10225
    <table><thead><tr><th width="255.64999389648438">Dynamic 2.0 GGUF (to run)</th><th width="305.25">Dynamic 4-bit (to finetune/deploy)</th><th>Dynamic Float8</th></tr></thead><tbody><tr><td><ul><li><a href="https://huggingface.co/unsloth/Magi
  • Network accessline 10310
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 10315
    2. Run the model with our dynamic quant. We did not set the context length automatically, so it will just use Ollama's default set context length.\    Note you can call `ollama serve &`in another terminal if it fails! We include all suggest
  • Network accessline 10316
    Note you can call `ollama serve &`in another terminal if it fails! We include all suggested parameters (temperature etc) in `params` in our Hugging Face upload! 3. Also Magistral supports 40K context lengths, so best to enable [**KV cache q
  • Network accessline 10317
    3. Also Magistral supports 40K context lengths, so best to enable [**KV cache quantization**](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-can-i-set-the-quantization-type-for-the-kv-cache). We use 8bit quantization which saves
  • Network accessline 10318
    4. **Ollama also sets the default context length to 4096**, as [mentioned here](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-can-i-specify-the-context-window-size). Use `OLLAMA_CONTEXT_LENGTH=8192` to change it to 8192. Magist
  • Network accessline 10328
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 10331
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 10333
    git clone https://github.com/ggml-org/llama.cpp
  • Access to secretsline 10359
    [Credential-related source omitted]
  • Network accessline 11514
    For Magistral versions before September 2025, [Xuan-Son](https://x.com/ngxson) from HuggingFace showed in their [GGUF repo](https://huggingface.co/ngxson/Devstral-Small-Vision-2505-GGUF) how it is actually possible to "graft" the vision enc
  • Network accessline 11537
    * **Magistral 2509 Kaggle (2x Tesla T4s) free** [**finetuning notebook**](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Magistral_\(24B\)-Reasoning-Conversational.ipynb\&accelerator=
  • Network accessline 11538
    * Magistral 2509 Colab L4 (24GB) [finetuning notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Magistral_\(24B\)-Reasoning-Conversational.ipynb)
  • Network accessline 11540
    Magistral slightly exceeds the memory limits of a 16GB VRAM, so fine-tuning it for free on Google Colab isn't possible for now. However, you *can* fine-tune the model for free using [Kaggle](https://www.kaggle.com/danielhanchen/code), which
  • Network accessline 11542
    **To finetune on new reasoning traces, you can use our free** [**Kaggle notebook for Magistral**](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Magistral_\(24B\)-Reasoning-Conversati
  • Network accessline 11569
    * [vLLM's Float8 format](https://huggingface.co/unsloth/Magistral-Small-2509-FP8-Dynamic)
  • Network accessline 11570
    * [TorchAO's Float8 format](https://huggingface.co/unsloth/Magistral-Small-2509-FP8-torchao)
  • Network accessline 11572
    Both are fantastic to deploy via vLLM. Read up on using TorchAO based FP8 quants in vLLM [here](https://docs.vllm.ai/en/latest/features/quantization/torchao.html).
  • Network accessline 11601
    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type</th><th>Disk Size</th><th>Link</th><th>Details</th></tr></thead><tbody><tr><td>1.78bit</td><td>IQ1_S</td><td>33.8GB</td><td><a href="https://huggingface.co/unsloth/Llama-4-
  • Network accessline 11609
    | MoE Bits | Type      | Disk Size | HF Link                                                                                             | | -------- | --------- | --------- | ----------------------------------------------------------------
  • Network accessline 11610
    | -------- | --------- | --------- | --------------------------------------------------------------------------------------------------- | | 1.78bit  | IQ1\_S    | 122GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-
  • Network accessline 11611
    | 1.78bit  | IQ1\_S    | 122GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-IQ1_S)   |
  • Network accessline 11612
    | 1.93bit  | IQ1\_M    | 128GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-IQ1_M)   |
  • Network accessline 11613
    | 2.42-bit | IQ2\_XXS  | 140GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-IQ2_XXS) |
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    | 2.71-bit | Q2\_K\_XL | 151B      | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-Q2_K_XL) |
  • Network accessline 11615
    | 3.5-bit  | Q3\_K\_XL | 193GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-Q3_K_XL) |
  • Network accessline 11616
    | 4.5-bit  | Q4\_K\_XL | 243GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-Q4_K_XL) |
  • Network accessline 11635
    * A BOS token of `<|begin_of_text|>` is auto added during tokenization (do NOT add it manually!)&#x20; * According to <https://www.llama.com/docs/model-cards-and-prompt-formats/llama4_omni/>, there is an <mark style="background-color:yellow
  • Network accessline 11636
    * According to <https://www.llama.com/docs/model-cards-and-prompt-formats/llama4_omni/>, there is an <mark style="background-color:yellow;">**suggested optional system prompt**</mark>, which is listed below:
  • Network accessline 11654
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 11657
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 11658
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 11659
    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 11666
    2. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose Q4\_K\_M, or other quantized versions (like BF16 full precision). More versions at: <https://huggingface.co/unsloth/Llama-4-Scout-17B-16
  • Access to secretsline 11671
    [Credential-related source omitted]
  • Access to secretsline 11718
    [Credential-related source omitted]
  • Network accessline 11753
    [Credential-related source omitted]
  • Network accessline 11755
    For Llama 4 Scout, we found we should not quantize the vision layers, and leave the MoE router and some other layers as unquantized - we upload these to <https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-unsloth-dynamic-bnb-4bit
  • Network accessline 11757
    [Credential-related source omitted]
  • Network accessline 11759
    We also had to convert `torch.nn.Parameter` to `torch.nn.Linear` for the MoE layers to allow 4bit quantization to occur. This also means we had to rewrite and patch over the generic Hugging Face implementation. We upload our quantized versi
  • Network accessline 11761
    [Credential-related source omitted]
  • Network accessline 11770
    Kimi-K2-Instruct-0905 the new version of K2 achieves SOTA performance in knowledge, reasoning, coding, and agentic tasks. The full 1T parameter model from Moonshot AI requires 1.09TB of disk space, while the quantized **Unsloth Dynamic 1.8-
  • Network accessline 11772
    You can now run **Kimi-K2-Instruct-0905** with our new GGUFs. Use our same settings below but ensure you change the model name from 'Kimi-K2-Instruct' to 'Kimi-K2-Instruct-0905': [K2-0905 GGUFs](https://huggingface.co/unsloth/Kimi-K2-Instru
  • Network accessline 11774
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run quantized LLMs with minimal accuracy loss.
  • Network accessline 11776
    <a href="https://docs.unsloth.ai/basics/kimi-k2-how-to-run-locally#run-kimi-k2-tutorials" class="button primary">Run in llama.cpp</a>
  • Network accessline 11800
    According to [Moonshot AI](https://huggingface.co/moonshotai/Kimi-K2-Instruct), these are the recommended settings for Kimi K2 inference:
  • Network accessline 11846
    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type + Link</th><th>Disk Size</th><th>Details</th></tr></thead><tbody><tr><td>1.66bit</td><td><a href="https://huggingface.co/unsloth/Kimi-K2-Instruct-GGUF/tree/main/UD-TQ1_0">U
  • Network accessline 11848
    We've also uploaded versions in [BF16 format](https://huggingface.co/unsloth/Kimi-K2-Instruct-BF16).
  • Network accessline 11852
    {% hint style="success" %} You can now use the latest update of [llama.cpp](https://github.com/ggml-org/llama.cpp) to run the model:
  • Network accessline 11853
    You can now use the latest update of [llama.cpp](https://github.com/ggml-org/llama.cpp) to run the model:
  • Network accessline 11858
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 11861
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 11862
    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 11863
    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 11898
    3. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose `UD-TQ1_0`(dynamic 1.8bit quant) or other quantized versions like `Q2_K_XL` . We <mark style="background-color:green;">**recommend using
  • Access to secretsline 11905
    [Credential-related source omitted]
  • Network accessline 11916
    {% hint style="info" %} If you find that downloads get stuck at 90 to 95% or so, please see <https://docs.unsloth.ai/basics/troubleshooting-and-faqs#downloading-gets-stuck-at-90-to-95>
  • Network accessline 11917
    If you find that downloads get stuck at 90 to 95% or so, please see <https://docs.unsloth.ai/basics/troubleshooting-and-faqs#downloading-gets-stuck-at-90-to-95>
  • Network accessline 11944
    **16th July 2025: Kimi K2 updated their tokenizer to enable multiple tool calls** as per <https://x.com/Kimi_Moonshot/status/1945050874067476962>
  • Network accessline 11946
    **18th July 2025: We fixed a system prompt - Kimi tweeted about our fix as well here:** [**https://x.com/Kimi\_Moonshot/status/1946130043446690030**](https://x.com/Kimi_Moonshot/status/1946130043446690030)**. The fix was described here as w
  • Network accessline 11951
    wget https://huggingface.co/unsloth/Kimi-K2-Instruct/raw/main/chat_template.jinja
  • Network accessline 11955
    The Kimi K2 tokenizer was interesting to play around with - <mark style="background-color:green;">**it's mostly similar in action to GPT-4o's tokenizer**</mark>! We first see in the [tokenization\_kimi.py](https://huggingface.co/moonshotai/
  • Network accessline 11972
    After careful inspection, we find Kimi K2 is nearly identical to GPT-4o's tokenizer regex which can be found in [llama.cpp's source code](https://github.com/ggml-org/llama.cpp/blob/55c509daf51d25bfaee9c8b8ce6abff103d4473b/src/llama-vocab.cp
  • Network accessline 11982
    Both tokenize numbers into groups of 1 to 3 numbers (9, 99, 999), and use similar patterns. The only difference looks to be the handling of "Han" or Chinese characters, which Kimi's tokenizer deals with more. [The PR](https://github.com/ggm
  • Network accessline 11988
    We introduced the Flappy Bird test when our 1.58bit quants for DeepSeek R1 were provided. We found Kimi K2 one of the only models to one-shot all our tasks including this one, [Heptagon ](https://docs.unsloth.ai/models/deepseek-r1-0528-how-
  • Network accessline 12007
    You can also test the dynamic quants via the Heptagon Test as per [r/Localllama](https://www.reddit.com/r/LocalLLaMA/comments/1j7r47l/i_just_made_an_animation_of_a_ball_bouncing/) which tests the model on creating a basic physics engine to 
  • Network accessline 12009
    <figure><img src="https://docs.unsloth.ai/~gitbook/image?url=https%3A%2F%2F3215535692-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FxhOjnexMCB3dmuQFQ2Zq%252Fuploads%252F2O72oTw5yPUbcxXjDNKS%252Fsnapsh
  • Network accessline 12026
    You can now run **Grok 2** (aka Grok 2.5), the 270B parameter model by xAI. Full precision requires **539GB**, while the Unsloth Dynamic 3-bit version shrinks size down to just **118GB** (a 75% reduction). GGUF: [Grok-2-GGUF](https://huggin
  • Network accessline 12028
    The **3-bit Q3\_K\_XL** model runs on a single **128GB Mac** or **24GB VRAM + 128GB RAM**, achieving **5+ tokens/s** inference. Thanks to the llama.cpp team and community for [supporting Grok 2](https://github.com/ggml-org/llama.cpp/pull/15
  • Network accessline 12030
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run quantized Grok LLMs with minimal accuracy loss.
  • Network accessline 12064
    {% stepper %} {% step %} Install the specific `llama.cpp` PR for Grok 2 on [GitHub here](https://github.com/ggml-org/llama.cpp/pull/15539). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if
  • Network accessline 12066
    Install the specific `llama.cpp` PR for Grok 2 on [GitHub here](https://github.com/ggml-org/llama.cpp/pull/15539). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or 
  • Network accessline 12069
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 12071
    git clone https://github.com/ggml-org/llama.cpp cd llama.cpp && git fetch origin pull/15539/head:MASTER && git checkout MASTER && cd .. cmake llama.cpp -B llama.cpp/build \
  • Access to secretsline 12118
    [Credential-related source omitted]
  • Network accessline 12156
    | MoE Bits | Type + Link                                                                         | Disk Size   | Details       | | -------- | ----------------------------------------------------------------------------------- | ----------- 
  • Network accessline 12157
    | -------- | ----------------------------------------------------------------------------------- | ----------- | ------------- | | 1.66bit  | [TQ1\_0](https://huggingface.co/unsloth/grok-2-GGUF/blob/main/grok-2-UD-TQ1_0.gguf) | **81.8 GB** 
  • Network accessline 12158
    | 1.66bit  | [TQ1\_0](https://huggingface.co/unsloth/grok-2-GGUF/blob/main/grok-2-UD-TQ1_0.gguf) | **81.8 GB** | 1.92/1.56bit  |
  • Network accessline 12159
    | 1.78bit  | [IQ1\_S](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-IQ1_S)             | **88.9 GB** | 2.06/1.56bit  |
  • Network accessline 12160
    | 1.93bit  | [IQ1\_M](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-IQ1_M)             | **94.5 GB** | 2.5/2.06/1.56 |
  • Network accessline 12161
    | 2.42bit  | [IQ2\_XXS](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-IQ2_XXS)         | **99.3 GB** | 2.5/2.06bit   |
  • Network accessline 12162
    | 2.71bit  | [Q2\_K\_XL](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-Q2_K_XL)        | **112 GB**  | 3.5/2.5bit    |
  • Network accessline 12163
    | 3.12bit  | [IQ3\_XXS](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-IQ3_XXS)         | **117 GB**  | 3.5/2.06bit   |
  • Network accessline 12164
    | 3.5bit   | [Q3\_K\_XL](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-Q3_K_XL)        | **126 GB**  | 4.5/3.5bit    |
  • Network accessline 12165
    | 4.5bit   | [Q4\_K\_XL](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-Q4_K_XL)        | **155 GB**  | 5.5/4.5bit    |
  • Network accessline 12166
    | 5.5bit   | [Q5\_K\_XL](https://huggingface.co/unsloth/grok-2-GGUF/tree/main/UD-Q5_K_XL)        | **191 GB**  | 6.5/5.5bit    |
  • Network accessline 12180
    The [latest llama.cpp release](https://github.com/ggml-org/llama.cpp/pull/14363) also introduces high throughput mode. Use `llama-parallel`. Read more about it [here](https://github.com/ggml-org/llama.cpp/tree/master/examples/parallel). You
  • Network accessline 12201
    Finetuned from [**Mistral-Small-3.1**](https://huggingface.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF), Devstral supports a 128k context window. Devstral Small 1.1 has improved performance, achieving a score of 53.6% performance on

optional-skills/mlops/training/unsloth/references/llms-txt.md

  • Access to secretsline 12
    [Credential-related source omitted]
  • Network accessline 35
    {% hint style="success" %} Read more on running Llama 4 here: <https://docs.unsloth.ai/basics/tutorial-how-to-run-and-fine-tune-llama-4>
  • Network accessline 36
    Read more on running Llama 4 here: <https://docs.unsloth.ai/basics/tutorial-how-to-run-and-fine-tune-llama-4>
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    Qwen3-Coder is Qwen’s new series of coding agent models, available in 30B (**Qwen3-Coder-Flash**) and 480B parameters. **Qwen3-480B-A35B-Instruct** achieves SOTA coding performance rivalling Claude Sonnet-4, GPT-4.1, and [Kimi K2](https://d
  • Network accessline 77
    We also uploaded Qwen3-Coder with native <mark style="background-color:purple;">**1M context length**</mark> extended by YaRN and full-precision 8bit and 16bit versions. [Unsloth](https://github.com/unslothai/unsloth) also now supports fine
  • Network accessline 85
    {% hint style="success" %} **Does** [**Unsloth Dynamic Quants**](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) **work?** Yes, and very well. In third-party testing on the Aider Polyglot benchmark, the **UD-Q4\_K\_XL (276GB)** dy
  • Network accessline 86
    **Does** [**Unsloth Dynamic Quants**](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) **work?** Yes, and very well. In third-party testing on the Aider Polyglot benchmark, the **UD-Q4\_K\_XL (276GB)** dynamic quant nearly matched 
  • Network accessline 91
    | Dynamic 2.0 GGUF (to run)                                                                                                                                                                                                     | 1M Context Dyn
  • Network accessline 93
    | <ul><li><a href="https://huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF">30B-A3B-Instruct</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF">480B-A35B-Instruct</a></li></ul> | <ul><li><a hre
  • Network accessline 147
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 186
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    Orpheus supports tags like `<laugh>`, `<chuckle>`, `<sigh>`, `<cough>`, `<sniffle>`, `<groan>`, `<yawn>`, `<gasp>`, etc. For example: `"I missed you <laugh> so much!"`.  These tags are enclosed in angle brackets and will be treated as speci
  • Network accessline 299
    Unsloth model catalog for all our [Dynamic](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) GGUF, 4-bit, 16-bit models on Hugging Face.
  • Network accessline 309
    | Model                                                                                      | Variant                | GGUF                                                                            | Instruct (4-bit)                      
  • Network accessline 310
    | ------------------------------------------------------------------------------------------ | ---------------------- | ------------------------------------------------------------------------------- | --------------------------------------
  • Network accessline 311
    | [**gpt-oss** ](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune)            | 120b                   | [link](https://huggingface.co/unsloth/gpt-oss-120b-GGUF)                        | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 20b                    | [link](https://huggingface.co/unsloth/gpt-oss-20b-GGUF)                         | [link](https://huggingface.co/unsloth/
  • Network accessline 313
    | [**DeepSeek-V3.1**](https://docs.unsloth.ai/models/deepseek-v3.1-how-to-run-locally)       | Terminus               | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)              | —                                     
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    |                                                                                            | V3.1                   | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF)                       | —                                     
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    | [**Qwen3-VL**](https://docs.unsloth.ai/models/qwen3-vl-how-to-run-and-fine-tune)           | 2B-Instruct            | [link](https://huggingface.co/unsloth/Qwen3-VL-2B-Instruct-GGUF)                | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 2B-Thinking            | [link](https://huggingface.co/unsloth/Qwen3-VL-2B-Thinking-GGUF)                | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 4B-Instruct            | [link](https://huggingface.co/unsloth/Qwen3-VL-4B-Instruct-GGUF)                | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 4B-Thinking            | [link](https://huggingface.co/unsloth/Qwen3-VL-4B-Thinking-GGUF)                | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 8B-Instruct            | [link](https://huggingface.co/unsloth/Qwen3-VL-8B-Instruct-GGUF)                | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 8B-Thinking            | [link](https://huggingface.co/unsloth/Qwen3-VL-8B-Thinking-GGUF)                | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 30B-A3B-Instruct       | [link](https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Instruct-GGUF)           | —                                     
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    |                                                                                            | 30B-A3B-Thinking       | [link](https://huggingface.co/unsloth/Qwen3-VL-30B-A3B-Thinking-GGUF)           | —                                     
  • Network accessline 323
    |                                                                                            | 32B-Instruct           | [link](https://huggingface.co/unsloth/Qwen3-VL-32B-Instruct-GGUF)               | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 32B-Thinking           | [link](https://huggingface.co/unsloth/Qwen3-VL-32B-Thinking-GGUF)               | [link](https://huggingface.co/unsloth/
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    |                                                                                            | 235B-A22B-Instruct     | [link](https://huggingface.co/unsloth/Qwen3-VL-235B-A22B-Instruct-GGUF)         | —                                     
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    |                                                                                            | 235B-A22B-Thinking     | [link](https://huggingface.co/unsloth/Qwen3-VL-235B-A22B-Thinking-GGUF)         | —                                     
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    | [**Qwen3-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507) | 30B-A3B-Instruct       | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Instruct-2507-GGUF)         | —                                     
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    |                                                                                            | 30B-A3B-Thinking       | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF)         | —                                     
  • Network accessline 329
    |                                                                                            | 235B-A22B-Thinking     | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF/)      | —                                     
  • Network accessline 330
    |                                                                                            | 235B-A22B-Instruct     | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF/)      | —                                     
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    | **Qwen3-Coder**                                                                            | 30B-A3B                | [link](https://huggingface.co/unsloth/Qwen3-Coder-30B-A3B-Instruct-GGUF)        | —                                     
  • Network accessline 332
    |                                                                                            | 480B-A35B              | [link](https://huggingface.co/unsloth/Qwen3-Coder-480B-A35B-Instruct-GGUF)      | —                                     
  • Network accessline 333
    | **Granite-4.0 (new)**                                                                      | H-Small                | [link](https://huggingface.co/unsloth/granite-4.0-h-small-GGUF)                 | [link](https://huggingface.co/unsloth/
  • Network accessline 334
    | **GLM (new)**                                                                              | 4.6                    | [link](https://huggingface.co/unsloth/GLM-4.6-GGUF)                             | —                                     
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    |                                                                                            | 4.5-Air                | [link](https://huggingface.co/unsloth/GLM-4.5-Air-GGUF)                         | —                                     
  • Network accessline 336
    | **Kimi-K2-0905**                                                                           | 1T                     | [link](https://huggingface.co/unsloth/Kimi-K2-Instruct-0905-GGUF)               | —                                     
  • Network accessline 337
    | **Gemma 3n**                                                                               | E2B                    | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it-GGUF)                     | [link](https://huggingface.co/unsloth/
  • Network accessline 338
    |                                                                                            | E4B                    | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it-GGUF)                     | [link](https://huggingface.co/unsloth/
  • Network accessline 339
    | **DeepSeek-R1-0528**                                                                       | R1-0528-Qwen3-8B       | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF)           | [link](https://huggingface.co/unsloth/
  • Network accessline 340
    |                                                                                            | R1-0528                | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF)                    | —                                     
  • Network accessline 341
    | **Mistral**                                                                                | Magistral Small (2509) | [link](https://huggingface.co/unsloth/Magistral-Small-2509-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 342
    |                                                                                            | Magistral Small (2507) | [link](https://huggingface.co/unsloth/Magistral-Small-2507-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 343
    |                                                                                            | Small 3.2 24B (2506)   | [link](https://huggingface.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506-GGUF) | [link](https://huggingface.co/unsloth/
  • Network accessline 344
    | FLUX.1                                                                                     | Kontext-dev            | [link](https://huggingface.co/unsloth/FLUX.1-Kontext-dev-GGUF)                  | —                                     
  • Network accessline 345
    | **Qwen3**                                                                                  | 0.6 B                  | [link](https://huggingface.co/unsloth/Qwen3-0.6B-GGUF)                          | [link](https://huggingface.co/unsloth/
  • Network accessline 346
    |                                                                                            | 1.7 B                  | [link](https://huggingface.co/unsloth/Qwen3-1.7B-GGUF)                          | [link](https://huggingface.co/unsloth/
  • Network accessline 347
    |                                                                                            | 4 B                    | [link](https://huggingface.co/unsloth/Qwen3-4B-GGUF)                            | [link](https://huggingface.co/unsloth/
  • Network accessline 348
    |                                                                                            | 8 B                    | [link](https://huggingface.co/unsloth/Qwen3-8B-GGUF)                            | [link](https://huggingface.co/unsloth/
  • Network accessline 349
    |                                                                                            | 14 B                   | [link](https://huggingface.co/unsloth/Qwen3-14B-GGUF)                           | [link](https://huggingface.co/unsloth/
  • Network accessline 350
    |                                                                                            | 30B-A3B                | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF)                       | [link](https://huggingface.co/unsloth/
  • Network accessline 351
    |                                                                                            | 32 B                   | [link](https://huggingface.co/unsloth/Qwen3-32B-GGUF)                           | [link](https://huggingface.co/unsloth/
  • Network accessline 352
    |                                                                                            | 235B-A22B              | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-GGUF)                     | —                                     
  • Network accessline 353
    | **Llama 4**                                                                                | Scout 17B 16E          | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF)      | [link](https://huggingface.co/unsloth/
  • Network accessline 354
    |                                                                                            | Maverick 17B 128E      | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF)  | —                                     
  • Network accessline 355
    | **Grok 2**                                                                                 | 270B                   | [link](https://huggingface.co/unsloth/grok-2-GGUF)                              | —                                     
  • Network accessline 356
    | **Qwen-2.5 Omni**                                                                          | 3 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B-GGUF)                     | —                                     
  • Network accessline 357
    |                                                                                            | 7 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B-GGUF)                     | —                                     
  • Network accessline 358
    | **Phi-4**                                                                                  | Reasoning-plus         | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus-GGUF)                | [link](https://huggingface.co/unsloth/
  • Network accessline 359
    |                                                                                            | Reasoning              | [link](https://huggingface.co/unsloth/Phi-4-reasoning-GGUF)                     | [link](https://huggingface.co/unsloth/
  • Network accessline 361
    | Model             | Variant                | GGUF                                                                      | Instruct (4-bit)                                                                      | | ----------------- | -------
  • Network accessline 362
    | ----------------- | ---------------------- | ------------------------------------------------------------------------- | ------------------------------------------------------------------------------------- | | **DeepSeek-V3.1** | Terminu
  • Network accessline 363
    | **DeepSeek-V3.1** | Terminus               | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)        |                                                                                       |
  • Network accessline 364
    |                   | V3.1                   | [link](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF)                 |                                                                                       |
  • Network accessline 365
    | **DeepSeek-V3**   | V3-0324                | [link](https://huggingface.co/unsloth/DeepSeek-V3-0324-GGUF)              | —                                                                                     |
  • Network accessline 366
    |                   | V3                     | [link](https://huggingface.co/unsloth/DeepSeek-V3-GGUF)                   | —                                                                                     |
  • Network accessline 367
    | **DeepSeek-R1**   | R1-0528                | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF)              | —                                                                                     |
  • Network accessline 368
    |                   | R1-0528-Qwen3-8B       | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF)     | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-unsloth-bnb-4bit)     |
  • Network accessline 369
    |                   | R1                     | [link](https://huggingface.co/unsloth/DeepSeek-R1-GGUF)                   | —                                                                                     |
  • Network accessline 370
    |                   | R1 Zero                | [link](https://huggingface.co/unsloth/DeepSeek-R1-Zero-GGUF)              | —                                                                                     |
  • Network accessline 371
    |                   | Distill Llama 3 8 B    | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-GGUF)  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B-unsloth-bnb-4bit)  |
  • Network accessline 372
    |                   | Distill Llama 3.3 70 B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF) | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B-bnb-4bit)         |
  • Network accessline 373
    |                   | Distill Qwen 2.5 1.5 B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-1.5B-GGUF) | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-1.5B-unsloth-bnb-4bit) |
  • Network accessline 374
    |                   | Distill Qwen 2.5 7 B   | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B-GGUF)   | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B-unsloth-bnb-4bit)   |
  • Network accessline 375
    |                   | Distill Qwen 2.5 14 B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B-GGUF)  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B-unsloth-bnb-4bit)  |
  • Network accessline 376
    |                   | Distill Qwen 2.5 32 B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-32B-GGUF)  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-32B-bnb-4bit)          |
  • Network accessline 378
    | Model         | Variant             | GGUF                                                                           | Instruct (4-bit)                                                                       | | ------------- | ------------
  • Network accessline 379
    | ------------- | ------------------- | ------------------------------------------------------------------------------ | -------------------------------------------------------------------------------------- | | **Llama 4**   | Scout 17 B-1
  • Network accessline 380
    | **Llama 4**   | Scout 17 B-16 E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-GGUF)     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-unsloth-bnb-4bit) |
  • Network accessline 381
    |               | Maverick 17 B-128 E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF) | —                                                                                      |
  • Network accessline 382
    | **Llama 3.3** | 70 B                | [link](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-GGUF)             | [link](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct-bnb-4bit)                 |
  • Network accessline 383
    | **Llama 3.2** | 1 B                 | [link](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-bnb-4bit)                  |
  • Network accessline 384
    |               | 3 B                 | [link](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct-bnb-4bit)                  |
  • Network accessline 385
    |               | 11 B Vision         | —                                                                              | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct-unsloth-bnb-4bit)  |
  • Network accessline 386
    |               | 90 B Vision         | —                                                                              | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision-Instruct-bnb-4bit)          |
  • Network accessline 387
    | **Llama 3.1** | 8 B                 | [link](https://huggingface.co/unsloth/Llama-3.1-8B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit)             |
  • Network accessline 388
    |               | 70 B                | —                                                                              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B-Instruct-bnb-4bit)            |
  • Network accessline 389
    |               | 405 B               | —                                                                              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-405B-Instruct-bnb-4bit)           |
  • Network accessline 390
    | **Llama 3**   | 8 B                 | —                                                                              | [link](https://huggingface.co/unsloth/llama-3-8b-Instruct-bnb-4bit)                    |
  • Network accessline 391
    |               | 70 B                | —                                                                              | [link](https://huggingface.co/unsloth/llama-3-70b-bnb-4bit)                            |
  • Network accessline 392
    | **Llama 2**   | 7 B                 | —                                                                              | [link](https://huggingface.co/unsloth/llama-2-7b-chat-bnb-4bit)                        |
  • Network accessline 393
    |               | 13 B                | —                                                                              | [link](https://huggingface.co/unsloth/llama-2-13b-bnb-4bit)                            |
  • Network accessline 394
    | **CodeLlama** | 7 B                 | —                                                                              | [link](https://huggingface.co/unsloth/codellama-7b-bnb-4bit)                           |
  • Network accessline 395
    |               | 13 B                | —                                                                              | [link](https://huggingface.co/unsloth/codellama-13b-bnb-4bit)                          |
  • Network accessline 396
    |               | 34 B                | —                                                                              | [link](https://huggingface.co/unsloth/codellama-34b-bnb-4bit)                          |
  • Network accessline 398
    | Model        | Variant       | GGUF                                                         | Instruct (4-bit)                                                             | | ------------ | ------------- | --------------------------------
  • Network accessline 399
    | ------------ | ------------- | ------------------------------------------------------------ | ---------------------------------------------------------------------------- | | **Gemma 3n** | E2B           | <U+200B>[link](https://huggingface.co/u
  • Network accessline 400
    | **Gemma 3n** | E2B           | <U+200B>[link](https://huggingface.co/unsloth/gemma-3n-E2B-it-GGUF) | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it-unsloth-bnb-4bit)      |
  • Possible obfuscationline 400
    | **Gemma 3n** | E2B           | <U+200B>[link](https://huggingface.co/unsloth/gemma-3n-E2B-it-GGUF) | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it-unsloth-bnb-4bit)      |
  • Network accessline 401
    |              | E4B           | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it-GGUF)  | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it-unsloth-bnb-4bit)      |
  • Network accessline 402
    | **Gemma 3**  | 270M          | [link](https://huggingface.co/unsloth/gemma-3-270m-it-GGUF)  | [link](https://huggingface.co/unsloth/gemma-3-270m-it)                       |
  • Network accessline 403
    |              | 1 B           | [link](https://huggingface.co/unsloth/gemma-3-1b-it-GGUF)    | [link](https://huggingface.co/unsloth/gemma-3-1b-it-unsloth-bnb-4bit)        |
  • Network accessline 404
    |              | 4 B           | [link](https://huggingface.co/unsloth/gemma-3-4b-it-GGUF)    | [link](https://huggingface.co/unsloth/gemma-3-4b-it-unsloth-bnb-4bit)        |
  • Network accessline 405
    |              | 12 B          | [link](https://huggingface.co/unsloth/gemma-3-12b-it-GGUF)   | [link](https://huggingface.co/unsloth/gemma-3-12b-it-unsloth-bnb-4bit)       |
  • Network accessline 406
    |              | 27 B          | [link](https://huggingface.co/unsloth/gemma-3-27b-it-GGUF)   | [link](https://huggingface.co/unsloth/gemma-3-27b-it-unsloth-bnb-4bit)       |
  • Network accessline 407
    | **MedGemma** | 4 B (vision)  | [link](https://huggingface.co/unsloth/medgemma-4b-it-GGUF)   | [link](https://huggingface.co/unsloth/medgemma-4b-it-unsloth-bnb-4bit)       |
  • Network accessline 408
    |              | 27 B (vision) | [link](https://huggingface.co/unsloth/medgemma-27b-it-GGUF)  | [link](https://huggingface.co/unsloth/medgemma-27b-text-it-unsloth-bnb-4bit) |
  • Network accessline 409
    | **Gemma 2**  | 2 B           | [link](https://huggingface.co/unsloth/gemma-2-it-GGUF)       | [link](https://huggingface.co/unsloth/gemma-2-2b-it-bnb-4bit)                |
  • Network accessline 410
    |              | 9 B           | —                                                            | [link](https://huggingface.co/unsloth/gemma-2-9b-it-bnb-4bit)                |
  • Network accessline 411
    |              | 27 B          | —                                                            | [link](https://huggingface.co/unsloth/gemma-2-27b-it-bnb-4bit)               |
  • Network accessline 413
    | Model                      | Variant    | GGUF                                                                         | Instruct (4-bit)                                                                | | -------------------------- | ----
  • Network accessline 414
    | -------------------------- | ---------- | ---------------------------------------------------------------------------- | ------------------------------------------------------------------------------- | | **Qwen 3**                 | 0.6 
  • Network accessline 415
    | **Qwen 3**                 | 0.6 B      | [link](https://huggingface.co/unsloth/Qwen3-0.6B-GGUF)                       | [link](https://huggingface.co/unsloth/Qwen3-0.6B-unsloth-bnb-4bit)              |
  • Network accessline 416
    |                            | 1.7 B      | [link](https://huggingface.co/unsloth/Qwen3-1.7B-GGUF)                       | [link](https://huggingface.co/unsloth/Qwen3-1.7B-unsloth-bnb-4bit)              |
  • Network accessline 417
    |                            | 4 B        | [link](https://huggingface.co/unsloth/Qwen3-4B-GGUF)                         | [link](https://huggingface.co/unsloth/Qwen3-4B-unsloth-bnb-4bit)                |
  • Network accessline 418
    |                            | 8 B        | [link](https://huggingface.co/unsloth/Qwen3-8B-GGUF)                         | [link](https://huggingface.co/unsloth/Qwen3-8B-unsloth-bnb-4bit)                |
  • Network accessline 419
    |                            | 14 B       | [link](https://huggingface.co/unsloth/Qwen3-14B-GGUF)                        | [link](https://huggingface.co/unsloth/Qwen3-14B-unsloth-bnb-4bit)               |
  • Network accessline 420
    |                            | 30 B-A3B   | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF)                    | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-bnb-4bit)                   |
  • Network accessline 421
    |                            | 32 B       | [link](https://huggingface.co/unsloth/Qwen3-32B-GGUF)                        | [link](https://huggingface.co/unsloth/Qwen3-32B-unsloth-bnb-4bit)               |
  • Network accessline 422
    |                            | 235 B-A22B | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B-GGUF)                  | —                                                                               |
  • Network accessline 423
    | **Qwen 2.5 Omni**          | 3 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B-GGUF)                  | —                                                                               |
  • Network accessline 424
    |                            | 7 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B-GGUF)                  | —                                                                               |
  • Network accessline 425
    | **Qwen 2.5 VL**            | 3 B        | [link](https://huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct-GGUF)           | [link](https://huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct-unsloth-bnb-4bit)  |
  • Network accessline 426
    |                            | 7 B        | [link](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-GGUF)           | [link](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct-unsloth-bnb-4bit)  |
  • Network accessline 427
    |                            | 32 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct-GGUF)          | [link](https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct-unsloth-bnb-4bit) |
  • Network accessline 428
    |                            | 72 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct-GGUF)          | [link](https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct-unsloth-bnb-4bit) |
  • Network accessline 429
    | **Qwen 2.5**               | 0.5 B      | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct-bnb-4bit)           |
  • Network accessline 430
    |                            | 1.5 B      | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit)           |
  • Network accessline 431
    |                            | 3 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct-bnb-4bit)             |
  • Network accessline 432
    |                            | 7 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-7B-Instruct-bnb-4bit)             |
  • Network accessline 433
    |                            | 14 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-14B-Instruct-bnb-4bit)            |
  • Network accessline 434
    |                            | 32 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-32B-Instruct-bnb-4bit)            |
  • Network accessline 435
    |                            | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2.5-72B-Instruct-bnb-4bit)            |
  • Network accessline 436
    | **Qwen 2.5 Coder (128 K)** | 0.5 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-0.5B-Instruct-128K-GGUF) | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-0.5B-Instruct-bnb-4bit)     |
  • Network accessline 437
    |                            | 1.5 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-128K-GGUF) | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-bnb-4bit)     |
  • Network accessline 438
    |                            | 3 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-3B-Instruct-128K-GGUF)   | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-3B-Instruct-bnb-4bit)       |
  • Network accessline 439
    |                            | 7 B        | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-128K-GGUF)   | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit)       |
  • Network accessline 440
    |                            | 14 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-14B-Instruct-128K-GGUF)  | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-14B-Instruct-bnb-4bit)      |
  • Network accessline 441
    |                            | 32 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-32B-Instruct-128K-GGUF)  | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-32B-Instruct-bnb-4bit)      |
  • Network accessline 442
    | **QwQ**                    | 32 B       | [link](https://huggingface.co/unsloth/QwQ-32B-GGUF)                          | [link](https://huggingface.co/unsloth/QwQ-32B-unsloth-bnb-4bit)                 |
  • Network accessline 443
    | **QVQ (preview)**          | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/QVQ-72B-Preview-bnb-4bit)                 |
  • Network accessline 444
    | **Qwen 2 (chat)**          | 1.5 B      | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-1.5B-Instruct-bnb-4bit)             |
  • Network accessline 445
    |                            | 7 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-7B-Instruct-bnb-4bit)               |
  • Network accessline 446
    |                            | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-72B-Instruct-bnb-4bit)              |
  • Network accessline 447
    | **Qwen 2 VL**              | 2 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-VL-2B-Instruct-unsloth-bnb-4bit)    |
  • Network accessline 448
    |                            | 7 B        | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-VL-7B-Instruct-unsloth-bnb-4bit)    |
  • Network accessline 449
    |                            | 72 B       | —                                                                            | [link](https://huggingface.co/unsloth/Qwen2-VL-72B-Instruct-bnb-4bit)           |
  • Network accessline 451
    <table><thead><tr><th width="174">Model</th><th>Variant</th><th>GGUF</th><th>Instruct (4-bit)</th></tr></thead><tbody><tr><td><strong>Mistral Small</strong></td><td>3.2-24 B (2506)</td><td><a href="https://huggingface.co/unsloth/Mistral-Sma
  • Network accessline 453
    | Model       | Variant          | GGUF                                                             | Instruct (4-bit)                                                             | | ----------- | ---------------- | ------------------------
  • Network accessline 454
    | ----------- | ---------------- | ---------------------------------------------------------------- | ---------------------------------------------------------------------------- | | **Phi-4**   | Reasoning-plus   | [link](https://huggingfa
  • Network accessline 455
    | **Phi-4**   | Reasoning-plus   | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus-GGUF) | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus-unsloth-bnb-4bit) |
  • Network accessline 456
    |             | Reasoning        | [link](https://huggingface.co/unsloth/Phi-4-reasoning-GGUF)      | [link](https://huggingface.co/unsloth/phi-4-reasoning-unsloth-bnb-4bit)      |
  • Network accessline 457
    |             | Mini-Reasoning   | [link](https://huggingface.co/unsloth/Phi-4-mini-reasoning-GGUF) | [link](https://huggingface.co/unsloth/Phi-4-mini-reasoning-unsloth-bnb-4bit) |
  • Network accessline 458
    |             | Phi-4 (instruct) | [link](https://huggingface.co/unsloth/phi-4-GGUF)                | [link](https://huggingface.co/unsloth/phi-4-unsloth-bnb-4bit)                |
  • Network accessline 459
    |             | mini (instruct)  | [link](https://huggingface.co/unsloth/Phi-4-mini-instruct-GGUF)  | [link](https://huggingface.co/unsloth/Phi-4-mini-instruct-unsloth-bnb-4bit)  |
  • Network accessline 460
    | **Phi-3.5** | mini             | —                                                                | [link](https://huggingface.co/unsloth/Phi-3.5-mini-instruct-bnb-4bit)        |
  • Network accessline 461
    | **Phi-3**   | mini             | —                                                                | [link](https://huggingface.co/unsloth/Phi-3-mini-4k-instruct-bnb-4bit)       |
  • Network accessline 462
    |             | medium           | —                                                                | [link](https://huggingface.co/unsloth/Phi-3-medium-4k-instruct-bnb-4bit)     |
  • Network accessline 466
    | Model          | Variant           | GGUF                                                                           | Instruct (4-bit)                                                          | | -------------- | ----------------- | -----
  • Network accessline 467
    | -------------- | ----------------- | ------------------------------------------------------------------------------ | ------------------------------------------------------------------------- | | GLM            | 4.5-Air           | [link
  • Network accessline 468
    | GLM            | 4.5-Air           | [link](https://huggingface.co/unsloth/GLM-4.5-Air-GGUF)                        |                                                                           |
  • Network accessline 469
    |                | 4.5               | [4.5](https://huggingface.co/unsloth/GLM-4.5-GGUF)                             |                                                                           |
  • Network accessline 470
    |                | 4-32B-0414        | [4-32B-0414](https://huggingface.co/unsloth/GLM-4-32B-0414-GGUF)               |                                                                           |
  • Network accessline 471
    | Hunyuan        | A13B              | [link](https://huggingface.co/unsloth/Hunyuan-A13B-Instruct-GGUF)              | —                                                                         |
  • Network accessline 472
    | Orpheus        | 0.1-ft (3B)       | [link](https://app.gitbook.com/o/HpyELzcNe0topgVLGCZY/s/xhOjnexMCB3dmuQFQ2Zq/) | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-ft-unsloth-bnb-4bit) |
  • Network accessline 473
    | **LLava**      | 1.5 (7 B)         | —                                                                              | [link](https://huggingface.co/unsloth/llava-1.5-7b-hf-bnb-4bit)           |
  • Network accessline 474
    |                | 1.6 Mistral (7 B) | —                                                                              | [link](https://huggingface.co/unsloth/llava-v1.6-mistral-7b-hf-bnb-4bit)  |
  • Network accessline 475
    | **TinyLlama**  | Chat              | —                                                                              | [link](https://huggingface.co/unsloth/tinyllama-chat-bnb-4bit)            |
  • Network accessline 476
    | **SmolLM 2**   | 135 M             | [link](https://huggingface.co/unsloth/SmolLM2-135M-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/SmolLM2-135M-Instruct-bnb-4bit)     |
  • Network accessline 477
    |                | 360 M             | [link](https://huggingface.co/unsloth/SmolLM2-360M-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/SmolLM2-360M-Instruct-bnb-4bit)     |
  • Network accessline 478
    |                | 1.7 B             | [link](https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct-GGUF)              | [link](https://huggingface.co/unsloth/SmolLM2-1.7B-Instruct-bnb-4bit)     |
  • Network accessline 479
    | **Zephyr-SFT** | 7 B               | —                                                                              | [link](https://huggingface.co/unsloth/zephyr-sft-bnb-4bit)                |
  • Network accessline 480
    | **Yi**         | 6 B (v1.5)        | —                                                                              | [link](https://huggingface.co/unsloth/Yi-1.5-6B-bnb-4bit)                 |
  • Network accessline 481
    |                | 6 B (v1.0)        | —                                                                              | [link](https://huggingface.co/unsloth/yi-6b-bnb-4bit)                     |
  • Network accessline 482
    |                | 34 B (chat)       | —                                                                              | [link](https://huggingface.co/unsloth/yi-34b-chat-bnb-4bit)               |
  • Network accessline 483
    |                | 34 B (base)       | —                                                                              | [link](https://huggingface.co/unsloth/yi-34b-bnb-4bit)                    |
  • Network accessline 489
    | Model                | Variant                | Instruct (16-bit)                                                          | | -------------------- | ---------------------- | ---------------------------------------------------------------
  • Network accessline 490
    | -------------------- | ---------------------- | -------------------------------------------------------------------------- | | **gpt-oss** (new)    | 20b                    | [link](https://huggingface.co/unsloth/gpt-oss-20b)             
  • Network accessline 491
    | **gpt-oss** (new)    | 20b                    | [link](https://huggingface.co/unsloth/gpt-oss-20b)                         |
  • Network accessline 492
    |                      | 120b                   | [link](https://huggingface.co/unsloth/gpt-oss-120b)                        |
  • Network accessline 493
    | **Gemma 3n**         | E2B                    | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it)                     |
  • Network accessline 494
    |                      | E4B                    | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it)                     |
  • Network accessline 495
    | **DeepSeek-R1-0528** | R1-0528-Qwen3-8B       | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B)           |
  • Network accessline 496
    |                      | R1-0528                | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528)                    |
  • Network accessline 497
    | **Mistral**          | Small 3.2 24B (2506)   | [link](https://huggingface.co/unsloth/Mistral-Small-3.2-24B-Instruct-2506) |
  • Network accessline 498
    |                      | Small 3.1 24B (2503)   | [link](https://huggingface.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503) |
  • Network accessline 499
    |                      | Small 3.0 24B (2501)   | [link](https://huggingface.co/unsloth/Mistral-Small-24B-Instruct-2501)     |
  • Network accessline 500
    |                      | Magistral Small (2506) | [link](https://huggingface.co/unsloth/Magistral-Small-2506)                |
  • Network accessline 501
    | **Qwen 3**           | 0.6 B                  | [link](https://huggingface.co/unsloth/Qwen3-0.6B)                          |
  • Network accessline 502
    |                      | 1.7 B                  | [link](https://huggingface.co/unsloth/Qwen3-1.7B)                          |
  • Network accessline 503
    |                      | 4 B                    | [link](https://huggingface.co/unsloth/Qwen3-4B)                            |
  • Network accessline 504
    |                      | 8 B                    | [link](https://huggingface.co/unsloth/Qwen3-8B)                            |
  • Network accessline 505
    |                      | 14 B                   | [link](https://huggingface.co/unsloth/Qwen3-14B)                           |
  • Network accessline 506
    |                      | 30B-A3B                | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B)                       |
  • Network accessline 507
    |                      | 32 B                   | [link](https://huggingface.co/unsloth/Qwen3-32B)                           |
  • Network accessline 508
    |                      | 235B-A22B              | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B)                     |
  • Network accessline 509
    | **Llama 4**          | Scout 17B-16E          | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct)      |
  • Network accessline 510
    |                      | Maverick 17B-128E      | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct)  |
  • Network accessline 511
    | **Qwen 2.5 Omni**    | 3 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B)                     |
  • Network accessline 512
    |                      | 7 B                    | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B)                     |
  • Network accessline 513
    | **Phi-4**            | Reasoning-plus         | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus)                |
  • Network accessline 514
    |                      | Reasoning              | [link](https://huggingface.co/unsloth/Phi-4-reasoning)                     |
  • Network accessline 516
    | Model           | Variant               | Instruct (16-bit)                                                    | | --------------- | --------------------- | -------------------------------------------------------------------- | | **DeepSe
  • Network accessline 517
    | --------------- | --------------------- | -------------------------------------------------------------------- | | **DeepSeek-V3** | V3-0324               | [link](https://huggingface.co/unsloth/DeepSeek-V3-0324)              | |         
  • Network accessline 518
    | **DeepSeek-V3** | V3-0324               | [link](https://huggingface.co/unsloth/DeepSeek-V3-0324)              |
  • Network accessline 519
    |                 | V3                    | [link](https://huggingface.co/unsloth/DeepSeek-V3)                   |
  • Network accessline 520
    | **DeepSeek-R1** | R1-0528               | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528)              |
  • Network accessline 521
    |                 | R1-0528-Qwen3-8B      | [link](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B)     |
  • Network accessline 522
    |                 | R1                    | [link](https://huggingface.co/unsloth/DeepSeek-R1)                   |
  • Network accessline 523
    |                 | R1 Zero               | [link](https://huggingface.co/unsloth/DeepSeek-R1-Zero)              |
  • Network accessline 524
    |                 | Distill Llama 3 8B    | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-8B)  |
  • Network accessline 525
    |                 | Distill Llama 3.3 70B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Llama-70B) |
  • Network accessline 526
    |                 | Distill Qwen 2.5 1.5B | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-1.5B) |
  • Network accessline 527
    |                 | Distill Qwen 2.5 7B   | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-7B)   |
  • Network accessline 528
    |                 | Distill Qwen 2.5 14B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-14B)  |
  • Network accessline 529
    |                 | Distill Qwen 2.5 32B  | [link](https://huggingface.co/unsloth/DeepSeek-R1-Distill-Qwen-32B)  |
  • Network accessline 531
    | Family        | Variant           | Instruct (16-bit)                                                         | | ------------- | ----------------- | ------------------------------------------------------------------------- | | **Llama 4*
  • Network accessline 532
    | ------------- | ----------------- | ------------------------------------------------------------------------- | | **Llama 4**   | Scout 17B-16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct)     | |           
  • Network accessline 533
    | **Llama 4**   | Scout 17B-16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct)     |
  • Network accessline 534
    |               | Maverick 17B-128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct) |
  • Network accessline 535
    | **Llama 3.3** | 70 B              | [link](https://huggingface.co/unsloth/Llama-3.3-70B-Instruct)             |
  • Network accessline 536
    | **Llama 3.2** | 1 B               | [link](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct)              |
  • Network accessline 537
    |               | 3 B               | [link](https://huggingface.co/unsloth/Llama-3.2-3B-Instruct)              |
  • Network accessline 538
    |               | 11 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision-Instruct)      |
  • Network accessline 539
    |               | 90 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision-Instruct)      |
  • Network accessline 540
    | **Llama 3.1** | 8 B               | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct)         |
  • Network accessline 541
    |               | 70 B              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B-Instruct)        |
  • Network accessline 542
    |               | 405 B             | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-405B-Instruct)       |
  • Network accessline 543
    | **Llama 3**   | 8 B               | [link](https://huggingface.co/unsloth/llama-3-8b-Instruct)                |
  • Network accessline 544
    |               | 70 B              | [link](https://huggingface.co/unsloth/llama-3-70b-Instruct)               |
  • Network accessline 545
    | **Llama 2**   | 7 B               | [link](https://huggingface.co/unsloth/llama-2-7b-chat)                    |
  • Network accessline 547
    | Model        | Variant | Instruct (16-bit)                                      | | ------------ | ------- | ------------------------------------------------------ | | **Gemma 3n** | E2B     | [link](https://huggingface.co/unsloth/gemma-3
  • Network accessline 548
    | ------------ | ------- | ------------------------------------------------------ | | **Gemma 3n** | E2B     | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it) | |              | E4B     | [link](https://huggingface.co/unsloth/gemma-3
  • Network accessline 549
    | **Gemma 3n** | E2B     | [link](https://huggingface.co/unsloth/gemma-3n-E4B-it) |
  • Network accessline 550
    |              | E4B     | [link](https://huggingface.co/unsloth/gemma-3n-E2B-it) |
  • Network accessline 551
    | **Gemma 3**  | 1 B     | [link](https://huggingface.co/unsloth/gemma-3-1b-it)   |
  • Network accessline 552
    |              | 4 B     | [link](https://huggingface.co/unsloth/gemma-3-4b-it)   |
  • Network accessline 553
    |              | 12 B    | [link](https://huggingface.co/unsloth/gemma-3-12b-it)  |
  • Network accessline 554
    |              | 27 B    | [link](https://huggingface.co/unsloth/gemma-3-27b-it)  |
  • Network accessline 555
    | **Gemma 2**  | 2 B     | [link](https://huggingface.co/unsloth/gemma-2b-it)     |
  • Network accessline 556
    |              | 9 B     | [link](https://huggingface.co/unsloth/gemma-9b-it)     |
  • Network accessline 557
    |              | 27 B    | [link](https://huggingface.co/unsloth/gemma-27b-it)    |
  • Network accessline 559
    | Family                   | Variant   | Instruct (16-bit)                                                       | | ------------------------ | --------- | ----------------------------------------------------------------------- | | **Qwen 3
  • Network accessline 560
    | ------------------------ | --------- | ----------------------------------------------------------------------- | | **Qwen 3**               | 0.6 B     | [link](https://huggingface.co/unsloth/Qwen3-0.6B)                       | |         
  • Network accessline 561
    | **Qwen 3**               | 0.6 B     | [link](https://huggingface.co/unsloth/Qwen3-0.6B)                       |
  • Network accessline 562
    |                          | 1.7 B     | [link](https://huggingface.co/unsloth/Qwen3-1.7B)                       |
  • Network accessline 563
    |                          | 4 B       | [link](https://huggingface.co/unsloth/Qwen3-4B)                         |
  • Network accessline 564
    |                          | 8 B       | [link](https://huggingface.co/unsloth/Qwen3-8B)                         |
  • Network accessline 565
    |                          | 14 B      | [link](https://huggingface.co/unsloth/Qwen3-14B)                        |
  • Network accessline 566
    |                          | 30B-A3B   | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B)                    |
  • Network accessline 567
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen3-32B)                        |
  • Network accessline 568
    |                          | 235B-A22B | [link](https://huggingface.co/unsloth/Qwen3-235B-A22B)                  |
  • Network accessline 569
    | **Qwen 2.5 Omni**        | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-3B)                  |
  • Network accessline 570
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Omni-7B)                  |
  • Network accessline 571
    | **Qwen 2.5 VL**          | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-3B-Instruct)           |
  • Network accessline 572
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-VL-7B-Instruct)           |
  • Network accessline 573
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen2.5-VL-32B-Instruct)          |
  • Network accessline 574
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2.5-VL-72B-Instruct)          |
  • Network accessline 575
    | **Qwen 2.5**             | 0.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B-Instruct)            |
  • Network accessline 576
    |                          | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B-Instruct)            |
  • Network accessline 577
    |                          | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-3B-Instruct)              |
  • Network accessline 578
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-7B-Instruct)              |
  • Network accessline 579
    |                          | 14 B      | [link](https://huggingface.co/unsloth/Qwen2.5-14B-Instruct)             |
  • Network accessline 580
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen2.5-32B-Instruct)             |
  • Network accessline 581
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2.5-72B-Instruct)             |
  • Network accessline 582
    | **Qwen 2.5 Coder 128 K** | 0.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-0.5B-Instruct-128K) |
  • Network accessline 583
    |                          | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-1.5B-Instruct-128K) |
  • Network accessline 584
    |                          | 3 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-3B-Instruct-128K)   |
  • Network accessline 585
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-7B-Instruct-128K)   |
  • Network accessline 586
    |                          | 14 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-14B-Instruct-128K)  |
  • Network accessline 587
    |                          | 32 B      | [link](https://huggingface.co/unsloth/Qwen2.5-Coder-32B-Instruct-128K)  |
  • Network accessline 588
    | **QwQ**                  | 32 B      | [link](https://huggingface.co/unsloth/QwQ-32B)                          |
  • Network accessline 589
    | **QVQ (preview)**        | 72 B      | —                                                                       | | **Qwen 2 (Chat)**        | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2-1.5B-Instruct)              | |         
  • Network accessline 590
    | **Qwen 2 (Chat)**        | 1.5 B     | [link](https://huggingface.co/unsloth/Qwen2-1.5B-Instruct)              |
  • Network accessline 591
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2-7B-Instruct)                |
  • Network accessline 592
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2-72B-Instruct)               |
  • Network accessline 593
    | **Qwen 2 VL**            | 2 B       | [link](https://huggingface.co/unsloth/Qwen2-VL-2B-Instruct)             |
  • Network accessline 594
    |                          | 7 B       | [link](https://huggingface.co/unsloth/Qwen2-VL-7B-Instruct)             |
  • Network accessline 595
    |                          | 72 B      | [link](https://huggingface.co/unsloth/Qwen2-VL-72B-Instruct)            |
  • Network accessline 597
    | Model            | Variant        | Instruct (16-bit)                                                  | | ---------------- | -------------- | ------------------------------------------------------------------ | | **Mistral**      | Small
  • Network accessline 598
    | ---------------- | -------------- | ------------------------------------------------------------------ | | **Mistral**      | Small 2409-22B | [link](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) | | **Mistral**      | Large
  • Network accessline 599
    | **Mistral**      | Small 2409-22B | [link](https://huggingface.co/unsloth/Mistral-Small-Instruct-2409) |
  • Network accessline 600
    | **Mistral**      | Large 2407     | [link](https://huggingface.co/unsloth/Mistral-Large-Instruct-2407) |
  • Network accessline 601
    | **Mistral**      | 7B v0.3        | [link](https://huggingface.co/unsloth/mistral-7b-instruct-v0.3)    |
  • Network accessline 602
    | **Mistral**      | 7B v0.2        | [link](https://huggingface.co/unsloth/mistral-7b-instruct-v0.2)    |
  • Network accessline 603
    | **Pixtral**      | 12B 2409       | [link](https://huggingface.co/unsloth/Pixtral-12B-2409)            |
  • Network accessline 604
    | **Mixtral**      | 8×7B           | [link](https://huggingface.co/unsloth/Mixtral-8x7B-Instruct-v0.1)  |
  • Network accessline 605
    | **Mistral NeMo** | 12B 2407       | [link](https://huggingface.co/unsloth/Mistral-Nemo-Instruct-2407)  |
  • Network accessline 606
    | **Devstral**     | Small 2505     | [link](https://huggingface.co/unsloth/Devstral-Small-2505)         |
  • Network accessline 608
    | Model       | Variant        | Instruct (16-bit)                                               | | ----------- | -------------- | --------------------------------------------------------------- | | **Phi-4**   | Reasoning-plus | [link](ht
  • Network accessline 609
    | ----------- | -------------- | --------------------------------------------------------------- | | **Phi-4**   | Reasoning-plus | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus)     | |             | Reasoning      | [link](ht
  • Network accessline 610
    | **Phi-4**   | Reasoning-plus | [link](https://huggingface.co/unsloth/Phi-4-reasoning-plus)     |
  • Network accessline 611
    |             | Reasoning      | [link](https://huggingface.co/unsloth/Phi-4-reasoning)          |
  • Network accessline 612
    |             | Phi-4 (core)   | [link](https://huggingface.co/unsloth/Phi-4)                    |
  • Network accessline 613
    |             | Mini-Reasoning | [link](https://huggingface.co/unsloth/Phi-4-mini-reasoning)     |
  • Network accessline 614
    |             | Mini           | [link](https://huggingface.co/unsloth/Phi-4-mini)               |
  • Network accessline 615
    | **Phi-3.5** | Mini           | [link](https://huggingface.co/unsloth/Phi-3.5-mini-instruct)    |
  • Network accessline 616
    | **Phi-3**   | Mini           | [link](https://huggingface.co/unsloth/Phi-3-mini-4k-instruct)   |
  • Network accessline 617
    |             | Medium         | [link](https://huggingface.co/unsloth/Phi-3-medium-4k-instruct) |
  • Network accessline 621
    | Model                  | Instruct (16-bit)                                                | | ---------------------- | ---------------------------------------------------------------- | | Orpheus-3B (v0.1 ft)   | [link](https://huggingfac
  • Network accessline 622
    | ---------------------- | ---------------------------------------------------------------- | | Orpheus-3B (v0.1 ft)   | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-ft)         | | Orpheus-3B (v0.1 pt)   | [link](https://huggingfac
  • Network accessline 623
    | Orpheus-3B (v0.1 ft)   | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-ft)         |
  • Network accessline 624
    | Orpheus-3B (v0.1 pt)   | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-pretrained) |
  • Network accessline 625
    | Sesame-CSM 1B          | [link](https://huggingface.co/unsloth/csm-1b)                    |
  • Network accessline 626
    | Whisper Large V3 (STT) | [link](https://huggingface.co/unsloth/whisper-large-v3)          |
  • Network accessline 627
    | Llasa-TTS 1B           | [link](https://huggingface.co/unsloth/Llasa-1B)                  |
  • Network accessline 628
    | Spark-TTS 0.5B         | [link](https://huggingface.co/unsloth/Spark-TTS-0.5B)            |
  • Network accessline 629
    | Oute-TTS 1B            | [link](https://huggingface.co/unsloth/Llama-OuteTTS-1.0-1B)      |
  • Network accessline 635
    | Model        | Variant           | Base (16-bit)                                                    | Base (4-bit)                                                                           | | ------------ | ----------------- | ----------
  • Network accessline 636
    | ------------ | ----------------- | ---------------------------------------------------------------- | -------------------------------------------------------------------------------------- | | **Gemma 3n** | E2B               | [link](htt
  • Network accessline 637
    | **Gemma 3n** | E2B               | [link](https://huggingface.co/unsloth/gemma-3n-E2B)              | [link](https://huggingface.co/unsloth/gemma-3n-E2B-unsloth-bnb-4bit)                   |
  • Network accessline 638
    |              | E4B               | [link](https://huggingface.co/unsloth/gemma-3n-E4B)              | [link](https://huggingface.co/unsloth/gemma-3n-E4B-unsloth-bnb-4bit)                   |
  • Network accessline 639
    | **Qwen 3**   | 0.6 B             | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base)           | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base-unsloth-bnb-4bit)                |
  • Network accessline 640
    |              | 1.7 B             | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base)           | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base-unsloth-bnb-4bit)                |
  • Network accessline 641
    |              | 4 B               | [link](https://huggingface.co/unsloth/Qwen3-4B-Base)             | [link](https://huggingface.co/unsloth/Qwen3-4B-Base-unsloth-bnb-4bit)                  |
  • Network accessline 642
    |              | 8 B               | [link](https://huggingface.co/unsloth/Qwen3-8B-Base)             | [link](https://huggingface.co/unsloth/Qwen3-8B-Base-unsloth-bnb-4bit)                  |
  • Network accessline 643
    |              | 14 B              | [link](https://huggingface.co/unsloth/Qwen3-14B-Base)            | [link](https://huggingface.co/unsloth/Qwen3-14B-Base-unsloth-bnb-4bit)                 |
  • Network accessline 644
    |              | 30B-A3B           | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base)        | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base-bnb-4bit)                     |
  • Network accessline 645
    | **Llama 4**  | Scout 17B 16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E)     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E-Instruct-unsloth-bnb-4bit) |
  • Network accessline 646
    |              | Maverick 17B 128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E) | —                                                                                      |
  • Network accessline 650
    | Model         | Variant           | Base (16-bit)                                                    | Base (4-bit)                                                | | ------------- | ----------------- | -----------------------------------
  • Network accessline 651
    | ------------- | ----------------- | ---------------------------------------------------------------- | ----------------------------------------------------------- | | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unslo
  • Network accessline 652
    | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E)     | —                                                           |
  • Network accessline 653
    |               | Maverick 17B 128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E) | —                                                           |
  • Network accessline 654
    | **Llama 3.3** | 70 B              | [link](https://huggingface.co/unsloth/Llama-3.3-70B)             | —                                                           |
  • Network accessline 655
    | **Llama 3.2** | 1 B               | [link](https://huggingface.co/unsloth/Llama-3.2-1B)              | —                                                           |
  • Network accessline 656
    |               | 3 B               | [link](https://huggingface.co/unsloth/Llama-3.2-3B)              | —                                                           |
  • Network accessline 657
    |               | 11 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision)      | —                                                           |
  • Network accessline 658
    |               | 90 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision)      | —                                                           |
  • Network accessline 659
    | **Llama 3.1** | 8 B               | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B)         | —                                                           |
  • Network accessline 660
    |               | 70 B              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B)        | —                                                           |
  • Network accessline 661
    | **Llama 3**   | 8 B               | [link](https://huggingface.co/unsloth/llama-3-8b)                | [link](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit)  |
  • Network accessline 662
    | **Llama 2**   | 7 B               | [link](https://huggingface.co/unsloth/llama-2-7b)                | [link](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit)  |
  • Network accessline 663
    |               | 13 B              | [link](https://huggingface.co/unsloth/llama-2-13b)               | [link](https://huggingface.co/unsloth/llama-2-13b-bnb-4bit) |
  • Network accessline 665
    | Model        | Variant | Base (16-bit)                                             | Base (4-bit)                                                               | | ------------ | ------- | -------------------------------------------------
  • Network accessline 666
    | ------------ | ------- | --------------------------------------------------------- | -------------------------------------------------------------------------- | | **Qwen 3**   | 0.6 B   | [link](https://huggingface.co/unsloth/Qwen3-0.6B-
  • Network accessline 667
    | **Qwen 3**   | 0.6 B   | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base)    | [link](https://huggingface.co/unsloth/Qwen3-0.6B-Base-unsloth-bnb-4bit)    |
  • Network accessline 668
    |              | 1.7 B   | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base)    | [link](https://huggingface.co/unsloth/Qwen3-1.7B-Base-unsloth-bnb-4bit)    |
  • Network accessline 669
    |              | 4 B     | [link](https://huggingface.co/unsloth/Qwen3-4B-Base)      | [link](https://huggingface.co/unsloth/Qwen3-4B-Base-unsloth-bnb-4bit)      |
  • Network accessline 670
    |              | 8 B     | [link](https://huggingface.co/unsloth/Qwen3-8B-Base)      | [link](https://huggingface.co/unsloth/Qwen3-8B-Base-unsloth-bnb-4bit)      |
  • Network accessline 671
    |              | 14 B    | [link](https://huggingface.co/unsloth/Qwen3-14B-Base)     | [link](https://huggingface.co/unsloth/Qwen3-14B-Base-unsloth-bnb-4bit)     |
  • Network accessline 672
    |              | 30B-A3B | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base) | [link](https://huggingface.co/unsloth/Qwen3-30B-A3B-Base-unsloth-bnb-4bit) |
  • Network accessline 673
    | **Qwen 2.5** | 0.5 B   | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B)       | [link](https://huggingface.co/unsloth/Qwen2.5-0.5B-bnb-4bit)               |
  • Network accessline 674
    |              | 1.5 B   | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B)       | [link](https://huggingface.co/unsloth/Qwen2.5-1.5B-bnb-4bit)               |
  • Network accessline 675
    |              | 3 B     | [link](https://huggingface.co/unsloth/Qwen2.5-3B)         | [link](https://huggingface.co/unsloth/Qwen2.5-3B-bnb-4bit)                 |
  • Network accessline 676
    |              | 7 B     | [link](https://huggingface.co/unsloth/Qwen2.5-7B)         | [link](https://huggingface.co/unsloth/Qwen2.5-7B-bnb-4bit)                 |
  • Network accessline 677
    |              | 14 B    | [link](https://huggingface.co/unsloth/Qwen2.5-14B)        | [link](https://huggingface.co/unsloth/Qwen2.5-14B-bnb-4bit)                |
  • Network accessline 678
    |              | 32 B    | [link](https://huggingface.co/unsloth/Qwen2.5-32B)        | [link](https://huggingface.co/unsloth/Qwen2.5-32B-bnb-4bit)                |
  • Network accessline 679
    |              | 72 B    | [link](https://huggingface.co/unsloth/Qwen2.5-72B)        | [link](https://huggingface.co/unsloth/Qwen2.5-72B-bnb-4bit)                |
  • Network accessline 680
    | **Qwen 2**   | 1.5 B   | [link](https://huggingface.co/unsloth/Qwen2-1.5B)         | [link](https://huggingface.co/unsloth/Qwen2-1.5B-bnb-4bit)                 |
  • Network accessline 681
    |              | 7 B     | [link](https://huggingface.co/unsloth/Qwen2-7B)           | [link](https://huggingface.co/unsloth/Qwen2-7B-bnb-4bit)                   |
  • Network accessline 685
    | Model         | Variant           | Base (16-bit)                                                    | Base (4-bit)                                                | | ------------- | ----------------- | -----------------------------------
  • Network accessline 686
    | ------------- | ----------------- | ---------------------------------------------------------------- | ----------------------------------------------------------- | | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unslo
  • Network accessline 687
    | **Llama 4**   | Scout 17B 16E     | [link](https://huggingface.co/unsloth/Llama-4-Scout-17B-16E)     | —                                                           |
  • Network accessline 688
    |               | Maverick 17B 128E | [link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E) | —                                                           |
  • Network accessline 689
    | **Llama 3.3** | 70 B              | [link](https://huggingface.co/unsloth/Llama-3.3-70B)             | —                                                           |
  • Network accessline 690
    | **Llama 3.2** | 1 B               | [link](https://huggingface.co/unsloth/Llama-3.2-1B)              | —                                                           |
  • Network accessline 691
    |               | 3 B               | [link](https://huggingface.co/unsloth/Llama-3.2-3B)              | —                                                           |
  • Network accessline 692
    |               | 11 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-11B-Vision)      | —                                                           |
  • Network accessline 693
    |               | 90 B Vision       | [link](https://huggingface.co/unsloth/Llama-3.2-90B-Vision)      | —                                                           |
  • Network accessline 694
    | **Llama 3.1** | 8 B               | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-8B)         | —                                                           |
  • Network accessline 695
    |               | 70 B              | [link](https://huggingface.co/unsloth/Meta-Llama-3.1-70B)        | —                                                           |
  • Network accessline 696
    | **Llama 3**   | 8 B               | [link](https://huggingface.co/unsloth/llama-3-8b)                | [link](https://huggingface.co/unsloth/llama-3-8b-bnb-4bit)  |
  • Network accessline 697
    | **Llama 2**   | 7 B               | [link](https://huggingface.co/unsloth/llama-2-7b)                | [link](https://huggingface.co/unsloth/llama-2-7b-bnb-4bit)  |
  • Network accessline 698
    |               | 13 B              | [link](https://huggingface.co/unsloth/llama-2-13b)               | [link](https://huggingface.co/unsloth/llama-2-13b-bnb-4bit) |
  • Network accessline 700
    | Model       | Variant | Base (16-bit)                                         | Base (4-bit)                                                           | | ----------- | ------- | ----------------------------------------------------- | ---
  • Network accessline 701
    | ----------- | ------- | ----------------------------------------------------- | ---------------------------------------------------------------------- | | **Gemma 3** | 1 B     | [link](https://huggingface.co/unsloth/gemma-3-1b-pt)  | [li
  • Network accessline 702
    | **Gemma 3** | 1 B     | [link](https://huggingface.co/unsloth/gemma-3-1b-pt)  | [link](https://huggingface.co/unsloth/gemma-3-1b-pt-unsloth-bnb-4bit)  |
  • Network accessline 703
    |             | 4 B     | [link](https://huggingface.co/unsloth/gemma-3-4b-pt)  | [link](https://huggingface.co/unsloth/gemma-3-4b-pt-unsloth-bnb-4bit)  |
  • Network accessline 704
    |             | 12 B    | [link](https://huggingface.co/unsloth/gemma-3-12b-pt) | [link](https://huggingface.co/unsloth/gemma-3-12b-pt-unsloth-bnb-4bit) |
  • Network accessline 705
    |             | 27 B    | [link](https://huggingface.co/unsloth/gemma-3-27b-pt) | [link](https://huggingface.co/unsloth/gemma-3-27b-pt-unsloth-bnb-4bit) |
  • Network accessline 706
    | **Gemma 2** | 2 B     | [link](https://huggingface.co/unsloth/gemma-2-2b)     | —                                                                      |
  • Network accessline 707
    |             | 9 B     | [link](https://huggingface.co/unsloth/gemma-2-9b)     | —                                                                      |
  • Network accessline 708
    |             | 27 B    | [link](https://huggingface.co/unsloth/gemma-2-27b)    | —                                                                      |
  • Network accessline 712
    | Model       | Variant          | Base (16-bit)                                                      | Base (4-bit)                                                    | | ----------- | ---------------- | -----------------------------------
  • Network accessline 713
    | ----------- | ---------------- | ------------------------------------------------------------------ | --------------------------------------------------------------- | | **Mistral** | Small 24B 2501   | [link](https://huggingface.co/unslo
  • Network accessline 714
    | **Mistral** | Small 24B 2501   | [link](https://huggingface.co/unsloth/Mistral-Small-24B-Base-2501) | —                                                               |
  • Network accessline 715
    |             | NeMo 12B 2407    | [link](https://huggingface.co/unsloth/Mistral-Nemo-Base-2407)      | —                                                               |
  • Network accessline 716
    |             | 7B v0.3          | [link](https://huggingface.co/unsloth/mistral-7b-v0.3)             | [link](https://huggingface.co/unsloth/mistral-7b-v0.3-bnb-4bit) |
  • Network accessline 717
    |             | 7B v0.2          | [link](https://huggingface.co/unsloth/mistral-7b-v0.2)             | [link](https://huggingface.co/unsloth/mistral-7b-v0.2-bnb-4bit) |
  • Network accessline 718
    |             | Pixtral 12B 2409 | [link](https://huggingface.co/unsloth/Pixtral-12B-Base-2409)       | —                                                               |
  • Network accessline 722
    | Model          | Variant        | Base (16-bit)                                                    | Base (4-bit)                                                                      | | -------------- | -------------- | -----------------
  • Network accessline 723
    | -------------- | -------------- | ---------------------------------------------------------------- | --------------------------------------------------------------------------------- | | **TinyLlama**  | 1.1 B (Base)   | [link](https://hu
  • Network accessline 724
    | **TinyLlama**  | 1.1 B (Base)   | [link](https://huggingface.co/unsloth/tinyllama)                 | [link](https://huggingface.co/unsloth/tinyllama-bnb-4bit)                         |
  • Network accessline 725
    | **Orpheus-3b** | 0.1-pretrained | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-pretrained) | [link](https://huggingface.co/unsloth/orpheus-3b-0.1-pretrained-unsloth-bnb-4bit) |
  • Network accessline 749
    Docker might be the easiest way for Windows users to get started with Unsloth as there is no setup needed or dependency issues. [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image. For [Blackwell
  • Network accessline 751
    For installation instructions, please follow our [Docker guide](https://docs.unsloth.ai/new/how-to-fine-tune-llms-with-unsloth-and-docker), otherwise here is a quickstart guide:
  • Network accessline 758
    Install Docker via [Linux](https://docs.docker.com/engine/install/) or [Desktop](https://docs.docker.com/desktop/) (other). Then install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/ins
  • Dangerous shell operationline 761
    </strong>sudo apt-get update &#x26;&#x26; sudo apt-get install -y \
  • Network accessline 770
    [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image.
  • Network accessline 774
    Go to [http://localhost:8888](http://localhost:8888/) and open Unsloth. Access the `unsloth-notebooks` tabs to see Unsloth notebooks.
  • Network accessline 779
    If you're new, follow our step-by-step [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide), [RL Guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) or just save/copy any of our premade [no
  • Network accessline 793
    You should install the latest version of your GPUs driver. Download drivers here: [NVIDIA GPU Drive](https://www.nvidia.com/Download/index.aspx)
  • Network accessline 801
    * Launch the Installer here:  [Visual Studio Community Edition](https://visualstudio.microsoft.com/vs/community/)
  • Network accessline 825
    Follow the instructions to install [CUDA Toolkit](https://developer.nvidia.com/cuda-toolkit-archive).
  • Network accessline 827
    Then install Miniconda (which has Python) here: [https://www.anaconda.com/docs/getting-started/miniconda/install](https://www.anaconda.com/docs/getting-started/miniconda/install#quickstart-install-instructions)
  • Network accessline 833
    You will need the correct version of PyTorch that is compatible with your CUDA drivers, so make sure to select them carefully. [Install PyTorch](https://pytorch.org/get-started/locally/)
  • Network accessline 850
    * Install Triton from this Windows fork and follow the instructions [here](https://github.com/woct0rdho/triton-windows) (be aware that the Windows fork requires PyTorch >= 2.4 and CUDA 12)
  • Network accessline 857
    1. Install `torch` and `triton`. Go to <https://pytorch.org> to install it. For example `pip install torch torchvision torchaudio triton`
  • Network accessline 858
    2. Confirm if CUDA is installed correctly. Try `nvcc`. If that fails, you need to install `cudatoolkit` or CUDA drivers. 3. Install `xformers` manually. You can try installing `vllm` and seeing if `vllm` succeeds. Check if `xformers` succee
  • Network accessline 859
    3. Install `xformers` manually. You can try installing `vllm` and seeing if `vllm` succeeds. Check if `xformers` succeeded with `python -m xformers.info` Go to <https://github.com/facebookresearch/xformers>. Another option is to install `fl
  • Network accessline 860
    4. Double check that your versions of Python, CUDA, CUDNN, `torch`, `triton`, and `xformers` are compatible with one another. The [PyTorch Compatibility Matrix](https://github.com/pytorch/pytorch/blob/main/RELEASE.md#release-compatibility-m
  • Network accessline 867
    1. **Install NVIDIA CUDA Toolkit**:    * Download and install the appropriate version of the **NVIDIA CUDA Toolkit** from [CUDA Downloads](https://developer.nvidia.com/cuda-downloads).
  • Network accessline 868
    * Download and install the appropriate version of the **NVIDIA CUDA Toolkit** from [CUDA Downloads](https://developer.nvidia.com/cuda-downloads).
  • Network accessline 870
    * **Note**: No additional setup is required after installation for Unsloth. 2. **Install Microsoft C++ Build Tools**:    * Download and install **Microsoft Build Tools for Visual Studio** from the [official website](https://visualstudio.mic
  • Network accessline 871
    2. **Install Microsoft C++ Build Tools**:    * Download and install **Microsoft Build Tools for Visual Studio** from the [official website](https://visualstudio.microsoft.com/visual-cpp-build-tools/).    * During installation, select the **
  • Network accessline 872
    * Download and install **Microsoft Build Tools for Visual Studio** from the [official website](https://visualstudio.microsoft.com/visual-cpp-build-tools/).
  • Network accessline 886
    * Verify: Open a new terminal and type `cl`. It should show version info. 4. **Install Conda**    1. Download and install **Miniconda** from the [official website](https://docs.anaconda.com/miniconda/install/#quick-command-line-install)
  • Network accessline 887
    4. **Install Conda**    1. Download and install **Miniconda** from the [official website](https://docs.anaconda.com/miniconda/install/#quick-command-line-install)    2. Follow installation instruction from the website
  • Network accessline 888
    1. Download and install **Miniconda** from the [official website](https://docs.anaconda.com/miniconda/install/#quick-command-line-install)
  • Network accessline 894
    1. **Download the** [**unsloth\_windows.ps1**](https://github.com/unslothai/notebooks/blob/main/unsloth_windows.ps1) **PowerShell script by going through this link**.
  • Network accessline 911
    1. Install python though [Python's official site](https://www.python.org/downloads/windows/).
  • Network accessline 958
    pip install "unsloth[windows] @ git+https://github.com/unslothai/unsloth.git"
  • Network accessline 1014
    {% hint style="info" %} Please see <https://docs.unsloth.ai/basics/deepseek-r1-0528-how-to-run-locally> (May 28th 2025 update) to learn on how to run DeepSeek faster and more efficiently!
  • Network accessline 1015
    Please see <https://docs.unsloth.ai/basics/deepseek-r1-0528-how-to-run-locally> (May 28th 2025 update) to learn on how to run DeepSeek faster and more efficiently!
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    <table data-full-width="true"><thead><tr><th>MoE Bits</th><th>Type</th><th>Disk Size</th><th>Accuracy</th><th>Link</th><th>Details</th></tr></thead><tbody><tr><td>1.78bit</td><td>IQ1_S</td><td><strong>173GB</strong></td><td>Ok</td><td><a hr
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    According to [DeepSeek](https://huggingface.co/deepseek-ai/DeepSeek-V3-0324), these are the recommended settings for inference:
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    * <mark style="background-color:blue;">**Temperature of 0.3**</mark> (Maybe 0.0 for coding as [seen here](https://api-docs.deepseek.com/quick_start/parameter_settings))
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    2. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose `UD-IQ1_S`(dynamic 1.78bit quant) or other quantized versions like `Q4_K_M` . <mark style="background-color:green;">**I recommend using 
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
  • Network accessline 1081
    > **Try QAT with our free** [**Qwen3 (4B) notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)_Instruct-QAT.ipynb)
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    [Credential-related source omitted]
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    Dequantizing back to 16bits simply does the reverse operation by `float16(qW) / a` . Post-training quantization (PTQ) can greatly reduce storage and inference costs, but quite often degrades accuracy when representing high-precision values 
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    [Credential-related source omitted]
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    To enable smarter quantization, we collaborated with the [TorchAO](https://github.com/pytorch/ao) team to add **Quantization-Aware Training (QAT)** directly inside of Unsloth - so now you can fine-tune models in Unsloth and then export them
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    [Credential-related source omitted]
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    Qwen released 2507 (July 2025) updates for their [Qwen3](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune) 4B, 30B and 235B models, introducing both "thinking" and "non-thinking" variants. The non-thinking '**Qwen3-30B-A3B-Inst
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    [Unsloth](https://github.com/unslothai/unsloth) also now supports fine-tuning and [Reinforcement Learning (RL)](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) of Qwen3-2507 models — 2x faster, with 70% less VRAM, and 8
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    **Unsloth** [**Dynamic 2.0**](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) **GGUFs:**
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    | Model                    | GGUFs to run:                                                                                                                                                 | | ------------------------ | ----------------------
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    | ------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Qwen3-**4B-2507**        | [Instruct](https://hug
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    | Qwen3-**4B-2507**        | [Instruct](https://huggingface.co/unsloth/Qwen3-4B-Instruct-2507-GGUF) • [Thinking ](https://huggingface.co/unsloth/Qwen3-4B-Thinking-2507-GGUF)              |
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    | Qwen3-**30B-A3B**-2507   | [Instruct](#llama.cpp-run-qwen3-30b-a3b-instruct-2507-tutorial) • [Thinking](https://huggingface.co/unsloth/Qwen3-30B-A3B-Thinking-2507-GGUF)                 |
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    | Qwen3-**235B-A22B**-2507 | [Instruct](https://huggingface.co/unsloth/Qwen3-235B-A22B-Instruct-2507-GGUF) • [Thinking](https://huggingface.co/unsloth/Qwen3-235B-A22B-Thinking-2507-GGUF) |
  • Network accessline 1240
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    curl -X POST http://localhost:8000/v1/load_lora_adapter \
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    curl -X POST http://localhost:8000/v1/unload_lora_adapter \
  • Network accessline 1436
    * E.g. For image-based training, select a vision model such as *Llama 3.2 Vision*. For code datasets, opt for a specialized model like *Qwen Coder 2.5*. * **Licensing and Requirements**: Different models may have specific licensing terms an
  • Network accessline 1437
    * **Licensing and Requirements**: Different models may have specific licensing terms and [system requirements](https://docs.unsloth.ai/beginner-start-here/unsloth-requirements#system-requirements). Be sure to review these carefully to avoid
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    * Use our [VRAM guideline](https://docs.unsloth.ai/beginner-start-here/unsloth-requirements#approximate-vram-requirements-based-on-model-parameters) to determine the VRAM requirements for the model you’re considering.
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    * We recommend using the latest model for the best performance and capabilities. For instance, as of January 2025, the leading 70B model is *Llama 3.3*. * You can stay up to date by exploring our [model catalog](https://docs.unsloth.ai/get-
  • Network accessline 1449
    * You can stay up to date by exploring our [model catalog](https://docs.unsloth.ai/get-started/all-our-models) to find the newest and relevant options.
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    Base models, on the other hand, are the original pre-trained versions without instruction fine-tuning. These are specifically designed for customization through fine-tuning, allowing you to adapt them to your unique needs. Base models are c
  • Network accessline 1471
    * **300–1,000 Rows of High-Quality Data**: With a medium-sized, high-quality dataset, fine-tuning the base or instruct model are both viable options. * **Less than 300 Rows**: For smaller datasets, the instruct model is typically the better
  • Network accessline 1473
    * For information how how big your dataset should be, [see here](https://docs.unsloth.ai/get-started/datasets-guide#how-big-should-my-dataset-be)
  • Network accessline 1481
    * Model names ending in **`unsloth-bnb-4bit`** indicate they are [**Unsloth dynamic 4-bit**](https://unsloth.ai/blog/dynamic-4bit) **quants**. These models consume slightly more VRAM than standard BitsAndBytes 4-bit models but offer signifi
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    [Credential-related source omitted]
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    * You can use our [Magistral-2509 Kaggle notebook](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms/magistral-how-to-run-and-fine-tune#fine-tuning-magistral-with-unsloth) as an example which utilizes multi-GPU Unsloth 
  • Network accessline 1551
    * [unsloth-5090-multiple](https://github.com/thad0ctor/unsloth-5090-multiple): A fork enabling Unsloth to run efficiently on multi-GPU systems, particularly for the NVIDIA [RTX 5090](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blac
  • Network accessline 1552
    * [opensloth](https://github.com/anhvth/opensloth): Unsloth with support for multi-GPU training including experimental features.
  • Network accessline 1554
    **Stay tuned for our official announcement!**\ For more details, check out our ongoing [Pull Request](https://github.com/unslothai/unsloth/issues/2435) discussing multi-GPU support.
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    For more details, check out our ongoing [Pull Request](https://github.com/unslothai/unsloth/issues/2435) discussing multi-GPU support.
  • Network accessline 1581
    If you're a beginner, here might be the first questions you'll ask before your first fine-tune. You can also always ask our community by joining our [Reddit page](https://www.reddit.com/r/unsloth/).
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    [Credential-related source omitted]
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    uv pip install -U vllm --pre --extra-index-url https://wheels.vllm.ai/nightly
  • Network accessline 1661
    Unsloth supports natively 2x faster inference. For our inference only notebook, click [here](https://colab.research.google.com/drive/1aqlNQi7MMJbynFDyOQteD2t0yVfjb9Zh?usp=sharing).
  • Network accessline 1679
    Sometimes when you execute a cell [this error](https://github.com/googlecolab/colabtools/issues/3409) can appear. To solve this, in a new cell, run the below:
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    {% hint style="success" %} Please see <https://docs.unsloth.ai/basics/deepseek-r1-0528-how-to-run-locally> for an updated DeepSeek R1-0528 (May 28th 2025 version)
  • Network accessline 1701
    Please see <https://docs.unsloth.ai/basics/deepseek-r1-0528-how-to-run-locally> for an updated DeepSeek R1-0528 (May 28th 2025 version)
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    1. Do not forget about `<|User|>` and `<|Assistant|>` tokens! - Or use a chat template formatter 2. Obtain the latest `llama.cpp` at: [github.com/ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp). You can follow the build instruc
  • Network accessline 1707
    2. Obtain the latest `llama.cpp` at: [github.com/ggerganov/llama.cpp](https://github.com/ggerganov/llama.cpp). You can follow the build instructions below as well:
  • Network accessline 1716
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggerganov/llama.cpp
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    This means the memory space for inference and training can in theory be re-used, since inference and training are separate modes - this is where [vLLM's sleep mode feature](https://docs.vllm.ai/en/latest/features/sleep_mode.html#rlhf-weight
  • Network accessline 1828
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    <table data-full-width="true"><thead><tr><th>Experiments</th><th>Config</th><th>Status</th><th>GPU Memory usage</th><th>Comments</th></tr></thead><tbody><tr><td><ol><li><a href="https://colab.research.google.com/drive/18CssBY5C0mStnLvu2Hlt4
  • Network accessline 1850
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    We now select better compilation flags and reduce compile times by 50% or more. We also managed to dynamically patch any vLLM version to handle `gc.collect` better for backwards compatibility reasons, as inspired from this [vLLM pull reques
  • Network accessline 1866
    All our GRPO notebooks have Unsloth Standby on by default and all optimizations! See <https://docs.unsloth.ai/get-started/unsloth-notebooks> for all our GRPO notebooks, or try the below:
  • Network accessline 1868
    * [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) **-** Advanced GRPO LoRA
  • Network accessline 1869
    * [**DeepSeek-R1-0528-Qwen3 (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/DeepSeek_R1_0528_Qwen3_\(8B\)_GRPO.ipynb) (for multilingual usecases)
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    * [Gemma 3 (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(1B\)-GRPO.ipynb)
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    * [Llama 3.2 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Advanced_Llama3_2_\(3B\)_GRPO_LoRA.ipynb) - Advanced GRPO LoRA
  • Network accessline 1872
    * [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-GRPO.ipynb)
  • Network accessline 1873
    * [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4_\(14B\)-GRPO.ipynb)
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    * [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-GRPO.ipynb)
  • Network accessline 1875
    * [Qwen2.5 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_\(3B\)-GRPO.ipynb)
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    {% hint style="warning" %} If you're having issues with your GRPO model not learning, we'd highly recommend to use our [Advanced GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-notebooks) as it has a much better rew
  • Network accessline 2028
    If you're having issues with your GRPO model not learning, we'd highly recommend to use our [Advanced GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-notebooks) as it has a much better reward function and you should
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    You can then save your model to GGUF, Ollama etc. by following our [guide here](https://docs.unsloth.ai/fine-tuning-llms-guide#id-7.-running--saving-the-model).
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    [Credential-related source omitted]
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    We have multiple options for saving your fine-tuned model, but we’ll focus on the easiest and most popular approaches which you can read more about [here](https://docs.unsloth.ai/basics/running-and-saving-models)
  • Network accessline 2095
    Install the latest PyTorch, TorchAO, Xformers from <https://pytorch.org/>
  • Network accessline 2113
    And that's it! Try some examples in our [**Unsloth Notebooks**](https://docs.unsloth.ai/get-started/unsloth-notebooks) page!
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    You can use our :ledger:[gpt-oss RL auto win 2048](https://github.com/unslothai/notebooks/blob/main/nb/gpt_oss_\(20B\)_Reinforcement_Learning_2048_Game_BF16.ipynb) example on a MI300X (192GB) GPU. The goal is to play the 2048 game automatic
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    You can also use our :ledger:[automatic kernel gen RL notebook](https://github.com/unslothai/notebooks/blob/main/nb/gpt_oss_\(20B\)_GRPO_BF16.ipynb) also with gpt-oss to auto create matrix multiplication kernels in Python. The notebook also
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    [Credential-related source omitted]
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    AMD GPUs also need the bitsandbytes `blocksize` to be 128 and not 64 - this also means our pre-quantized models (for example [unsloth/Llama-3.2-1B-Instruct-unsloth-bnb-4bit](https://huggingface.co/unsloth/Llama-3.2-1B-Instruct-bnb-4bit)) fr
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    pip install --upgrade torch==2.8.0 pytorch-triton-rocm torchvision torchaudio torchao==0.13.0 xformers --index-url https://download.pytorch.org/whl/rocm6.4
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    pip install --no-deps unsloth unsloth-zoo pip install --no-deps git+https://github.com/unslothai/unsloth-zoo.git
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    pip install --no-deps git+https://github.com/unslothai/unsloth-zoo.git
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    pip install "unsloth[amd] @ git+https://github.com/unslothai/unsloth"
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    [Credential-related source omitted]
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    bash NOTEBOOK_URL="https://raw.githubusercontent.com/unslothai/notebooks/refs/heads/main/nb/gpt_oss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.ipynb" wget -O "gpt_oss_20B_RL_2048_Game.ipynb" "$NOTEBOOK_URL"
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    NOTEBOOK_URL="https://raw.githubusercontent.com/unslothai/notebooks/refs/heads/main/nb/gpt_oss_(20B)_Reinforcement_Learning_2048_Game_DGX_Spark.ipynb"
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    wget -O "gpt_oss_20B_RL_2048_Game.ipynb" "$NOTEBOOK_URL"
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    [Credential-related source omitted]
  • Network accessline 2437
    Don't forget Unsloth also allows you to [save and run](https://docs.unsloth.ai/basics/running-and-saving-models) your models after fine-tuning so you can locally deploy them directly on your DGX Spark after.
  • Network accessline 2441
    Many thanks to [Lakshmi Ramesh](https://www.linkedin.com/in/rlakshmi24/) and [Barath Anandan](https://www.linkedin.com/in/barathsa/) from NVIDIA for helping Unsloth’s DGX Spark launch and building the Docker image.
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    [Credential-related source omitted]
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    Thanks to Tim from [AnythingLLM](https://github.com/Mintplex-Labs/anything-llm) for providing a great fine-tuning tutorial with Unsloth on DGX Spark:
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    {% embed url="<https://www.youtube.com/watch?t=962s&v=zs-J9sKxvoM>" %}
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    [Credential-related source omitted]
  • Network accessline 2478
    Inside the container, start Jupyter and run the required notebook. You can use the Reinforcement Learning gpt-oss 20b to win 2048 [notebook here](https://github.com/unslothai/notebooks/blob/main/nb/gpt_oss_\(20B\)_Reinforcement_Learning_204
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    [Credential-related source omitted]
  • Network accessline 2504
    </strong>    "unsloth/gpt-oss-20b", # 20B model using MXFP4 format     "unsloth/gpt-oss-120b", ] # More models at https://huggingface.co/unsloth
  • Network accessline 2506
    ] # More models at https://huggingface.co/unsloth
  • Network accessline 2523
    Now it's time to adjust your training hyperparameters. For a deeper dive into how, when, and what to tune, check out our [detailed hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
  • Network accessline 2525
    {% hint style="info" %} To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.
  • Network accessline 2526
    To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.&#x20;
  • Network accessline 2531
    For this example, we will use the [`HuggingFaceH4/Multilingual-Thinking`](https://huggingface.co/datasets/HuggingFaceH4/Multilingual-Thinking). This dataset contains chain-of-thought reasoning examples derived from user questions translated
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    [Credential-related source omitted]
  • Network accessline 2543
    One unique feature of gpt-oss is its use of the [**OpenAI Harmony format**](https://github.com/openai/harmony)**,** which supports structured conversations, reasoning output, and tool calling. This format includes tags such as `<|start|>` ,
  • Network accessline 2545
    {% hint style="info" %} 🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 2546
    🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 2549
    Feel free to adapt the prompt and structure to suit your own dataset or use-case. For more guidance, refer to our [dataset guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide).
  • Network accessline 2552
    We've pre-selected training hyperparameters for optimal results. However, you can modify them based on your specific use case. Refer to our [hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparamet
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 2586
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 2599
    As always, feel free to drop by our [Discord](https://discord.com/invite/unsloth) or [Reddit](https://www.reddit.com/r/unsloth/) if you need any help.
  • Network accessline 2605
    Yes you can now [save/export your gpt-oss fine-tuned](https://docs.unsloth.ai/models/long-context-gpt-oss-training#new-saving-to-gguf-vllm-after-gpt-oss-training) model using Unsloth's new update!
  • Network accessline 2617
    Yes! Unsloth now supports RL for gpt-oss with GRPO/GSPO. We made it work on a free Kaggle notebook and achieved the fastest inference for RL. [Read more here](https://docs.unsloth.ai/new/gpt-oss-reinforcement-learning)
  • Network accessline 2619
    ***Acknowledgements:** A huge thank you to* [*Eyera*](https://huggingface.co/Orenguteng) *for contributing to this guide!*
  • Network accessline 2686
    * The [text completion notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_\(7B\)-Text_Completion.ipynb) is for continued pretraining/raw text.
  • Network accessline 2687
    * The [continued pretraining notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-CPT.ipynb) is for learning another language.
  • Network accessline 2689
    You can read more about continued pretraining and our release in our [blog post](https://unsloth.ai/blog/contpretraining).
  • Network accessline 2996
    1. We find using lower KV cache quantization (4bit) seems to degrade generation quality via empirical tests - more tests need to be done, but we suggest using `q8_0` cache quantization. The goal of quantization is to support longer context 
  • Network accessline 2997
    2. We found the `down_proj` in this model to be extremely sensitive to quantitation. We had to redo some of our dynamic quants which used 2bits for `down_proj` and now we use 3bits as the minimum for all these matrices. 3. Using `llama.cpp`
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    3. Using `llama.cpp` 's Flash Attention backend does result in somewhat faster decoding speeds. Use `-DGGML_CUDA_FA_ALL_QUANTS=ON` when compiling. Note it's also best to set your CUDA architecture as found in <https://developer.nvidia.com/c
  • Network accessline 3023
    Kimi-K2-Instruct-0905 the new version of K2 achieves SOTA performance in knowledge, reasoning, coding, and agentic tasks. The full 1T parameter model from Moonshot AI requires 1.09TB of disk space, while the quantized **Unsloth Dynamic 1.8-
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    You can now run **Kimi-K2-Instruct-0905** with our new GGUFs. Use our same settings below but ensure you change the model name from 'Kimi-K2-Instruct' to 'Kimi-K2-Instruct-0905': [K2-0905 GGUFs](https://huggingface.co/unsloth/Kimi-K2-Instru
  • Network accessline 3027
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run quantized LLMs with minimal accuracy loss.
  • Network accessline 3029
    <a href="https://docs.unsloth.ai/basics/kimi-k2-how-to-run-locally#run-kimi-k2-tutorials" class="button primary">Run in llama.cpp</a>
  • Network accessline 3053
    According to [Moonshot AI](https://huggingface.co/moonshotai/Kimi-K2-Instruct), these are the recommended settings for Kimi K2 inference:
  • Network accessline 3078
    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type + Link</th><th>Disk Size</th><th>Details</th></tr></thead><tbody><tr><td>1.66bit</td><td><a href="https://huggingface.co/unsloth/Kimi-K2-Instruct-GGUF/tree/main/UD-TQ1_0">U
  • Network accessline 3080
    We've also uploaded versions in [BF16 format](https://huggingface.co/unsloth/Kimi-K2-Instruct-BF16).
  • Network accessline 3084
    {% hint style="success" %} You can now use the latest update of [llama.cpp](https://github.com/ggml-org/llama.cpp) to run the model:
  • Network accessline 3085
    You can now use the latest update of [llama.cpp](https://github.com/ggml-org/llama.cpp) to run the model:
  • Network accessline 3090
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 3106
    3. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose `UD-TQ1_0`(dynamic 1.8bit quant) or other quantized versions like `Q2_K_XL` . We <mark style="background-color:green;">**recommend using
  • Network accessline 3146
    Also see our GitHub repo for our notebooks: [github.com/unslothai/notebooks](https://github.com/unslothai/notebooks/)
  • Network accessline 3152
    * [**gpt-oss (20b)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-Fine-tuning.ipynb) • [Inference](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/GPT_OSS_MXFP4_\(20B\)
  • Network accessline 3153
    * [**DeepSeek-OCR**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb) **- new**
  • Network accessline 3154
    * [Qwen3 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb) • [**Qwen3-VL (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL
  • Network accessline 3155
    * [**Qwen3-2507-4B**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507) • [Thinking](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-Thinking.ipynb) • [Instruct](https://colab.r
  • Network accessline 3156
    * [Gemma 3n (E4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb) • [Text](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversation
  • Network accessline 3157
    * [IBM Granite-4.0-H](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) - new
  • Network accessline 3158
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb) • [Text](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb) • [Vision](https://colab
  • Network accessline 3159
    * [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb)&#x20;
  • Network accessline 3160
    * [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-Alpaca.ipynb) • [Llama 3.2 (1B + 3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3
  • Network accessline 3164
    * [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) (automatic kernels creation) - new
  • Network accessline 3165
    * [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt_oss_\(20B\)_Reinforcement_Learning_2048_Game.ipynb) (auto win 2048 game) - new
  • Network accessline 3166
    * [**Qwen3-VL (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision-GRPO.ipynb) - Vision **GSPO** - new
  • Network accessline 3167
    * [Qwen3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) **-** Advanced GRPO LoRA
  • Network accessline 3168
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision-GRPO.ipynb) - Vision GSPO - new
  • Network accessline 3169
    * [**DeepSeek-R1-0528-Qwen3 (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/DeepSeek_R1_0528_Qwen3_\(8B\)_GRPO.ipynb) (for multilingual usecase)
  • Network accessline 3170
    * [Gemma 3 (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(1B\)-GRPO.ipynb)
  • Network accessline 3171
    * [Llama 3.2 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Advanced_Llama3_2_\(3B\)_GRPO_LoRA.ipynb) - Advanced GRPO LoRA
  • Network accessline 3172
    * [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-GRPO.ipynb)
  • Network accessline 3173
    * [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4_\(14B\)-GRPO.ipynb)&#x20;
  • Network accessline 3174
    * [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-GRPO.ipynb)
  • Network accessline 3178
    * [Sesame-CSM (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Sesame_CSM_\(1B\)-TTS.ipynb) - new
  • Network accessline 3179
    * [Orpheus-TTS (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Orpheus_\(3B\)-TTS.ipynb)
  • Network accessline 3180
    * [Whisper Large V3](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Whisper.ipynb) - Speech-to-Text (STT)
  • Network accessline 3181
    * [Llasa-TTS (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llasa_TTS_\(1B\).ipynb)
  • Network accessline 3182
    * [Spark-TTS (0.5B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Spark_TTS_\(0_5B\).ipynb)
  • Network accessline 3183
    * [Oute-TTS (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Oute_TTS_\(1B\).ipynb)
  • Network accessline 3187
    * [Whisper-Large-V3](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Whisper.ipynb)
  • Network accessline 3188
    * [Gemma 3n (E4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Audio.ipynb) - Audio
  • Network accessline 3192
    * [**Qwen3-VL (8B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision.ipynb) **- new**
  • Network accessline 3193
    * [**DeepSeek-OCR**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb) **- new**
  • Network accessline 3194
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision.ipynb) - vision
  • Network accessline 3195
    * [Gemma 3n (E4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb) - vision
  • Network accessline 3196
    * [Llama 3.2 Vision (11B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb)
  • Network accessline 3197
    * [Qwen2.5-VL (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_VL_\(7B\)-Vision.ipynb)
  • Network accessline 3198
    * [Pixtral (12B) 2409](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Pixtral_\(12B\)-Vision.ipynb)
  • Network accessline 3199
    * [Qwen3-VL](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision-GRPO.ipynb) - Vision GSPO - new
  • Network accessline 3200
    * [Qwen2.5-VL](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_5_7B_VL_GRPO.ipynb) - Vision GSPO
  • Network accessline 3201
    * [Gemma 3 (4B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision-GRPO.ipynb) - Vision GSPO - new
  • Network accessline 3211
    * [gpt-oss-120b ](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(120B\)_A100-Fine-tuning.ipynb)- new
  • Network accessline 3212
    * [Qwen3 (32B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(32B\)_A100-Reasoning-Conversational.ipynb) - new
  • Network accessline 3213
    * [Llama 3.3 (70B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.3_\(70B\)_A100-Conversational.ipynb) - new
  • Network accessline 3214
    * [Gemma 3 (27B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(27B\)_A100-Conversational.ipynb) - new
  • Network accessline 3218
    * [**Customer support agent**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) **- new**
  • Network accessline 3219
    * [**Automatic Kernel Creation**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) with RL **- new**
  • Network accessline 3220
    * [**ModernBERT-large**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/bert_classification.ipynb) **- new** as of Aug 19
  • Network accessline 3221
    * [**Synthetic Data Generation Llama 3.2 (3B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Meta_Synthetic_Data_Llama3_2_\(3B\).ipynb) - new
  • Network accessline 3222
    * [**Tool Calling**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_Coder_\(1.5B\)-Tool_Calling.ipynb) **- new**
  • Network accessline 3223
    * [**Customer support agent**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) **- new**
  • Network accessline 3224
    * [Mistral v0.3 Instruct (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Conversational.ipynb)
  • Network accessline 3225
    * [Ollama](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)
  • Network accessline 3226
    * [ORPO](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-ORPO.ipynb)
  • Network accessline 3227
    * [Continued Pretraining](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-CPT.ipynb)
  • Network accessline 3228
    * [DPO Zephyr](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Zephyr_\(7B\)-DPO.ipynb)
  • Network accessline 3229
    * [***Inference only***](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\(8B\)-Inference.ipynb)
  • Network accessline 3230
    * [Llama 3 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Alpaca.ipynb)
  • Network accessline 3234
    * [**Customer support agent**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Granite4.0.ipynb) **- new**
  • Network accessline 3235
    * [**Automatic Kernel Creation**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) with RL **- new**
  • Network accessline 3236
    * [DPO Zephyr](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Zephyr_\(7B\)-DPO.ipynb)
  • Network accessline 3237
    * [**BERT - Text Classification**](https://colab.research.google.com/github/timothelaborie/text_classification_scripts/blob/main/unsloth_classification.ipynb) **- new as of Aug 19**
  • Network accessline 3238
    * [Ollama](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)
  • Network accessline 3239
    * [**Tool Calling**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_Coder_\(1.5B\)-Tool_Calling.ipynb) **- new**
  • Network accessline 3240
    * [Continued Pretraining (CPT)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-CPT.ipynb)
  • Network accessline 3241
    * [Multiple Datasets](https://colab.research.google.com/drive/1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) by Flail
  • Network accessline 3242
    * [KTO](https://colab.research.google.com/drive/1MRgGtLWuZX4ypSfGguFgC-IblTvO2ivM?usp=sharing) by Jeffrey
  • Network accessline 3243
    * [Inference chat UI](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Unsloth_Studio.ipynb)
  • Network accessline 3244
    * [Conversational](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
  • Network accessline 3245
    * [ChatML](https://colab.research.google.com/drive/15F1xyn8497_dUbxZP4zWmPZ3PJx1Oymv?usp=sharing)
  • Network accessline 3246
    * [Text Completion](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_\(7B\)-Text_Completion.ipynb)
  • Network accessline 3250
    * [Qwen2.5 (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_\(3B\)-GRPO.ipynb)
  • Network accessline 3251
    * [Gemma 2 (9B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma2_\(9B\)-Alpaca.ipynb)
  • Network accessline 3252
    * [Mistral NeMo (12B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_Nemo_\(12B\)-Alpaca.ipynb)
  • Network accessline 3253
    * [Phi-3.5 (mini)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_3.5_Mini-Conversational.ipynb)
  • Network accessline 3254
    * [Phi-3 (medium)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_3_Medium-Conversational.ipynb)
  • Network accessline 3255
    * [Gemma 2 (2B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma2_\(2B\)-Alpaca.ipynb)
  • Network accessline 3256
    * [Qwen 2.5 Coder (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_Coder_\(14B\)-Conversational.ipynb)
  • Network accessline 3257
    * [Mistral Small (22B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_Small_\(22B\)-Alpaca.ipynb)
  • Network accessline 3258
    * [TinyLlama](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/TinyLlama_\(1.1B\)-Alpaca.ipynb)
  • Network accessline 3259
    * [CodeGemma (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/CodeGemma_\(7B\)-Conversational.ipynb)
  • Network accessline 3260
    * [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Alpaca.ipynb)
  • Network accessline 3261
    * [Qwen2 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_\(7B\)-Alpaca.ipynb)
  • Network accessline 3265
    * [**gpt-oss (20B)**](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-gpt-oss-\(20B\)-Fine-tuning.ipynb\&accelerator=nvidiaTeslaT4) **- new**
  • Network accessline 3266
    * [Gemma 3n (E4B)](https://www.kaggle.com/code/danielhanchen/gemma-3n-4b-multimodal-finetuning-inference)
  • Network accessline 3267
    * [Qwen3 (14B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen3_\(14B\).ipynb)
  • Network accessline 3268
    * [Magistral-2509 (24B)](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Magistral_\(24B\)-Reasoning-Conversational.ipynb\&accelerator=nvidiaTeslaT4) - new
  • Network accessline 3269
    * [Gemma 3 (4B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma3_\(4B\).ipynb)
  • Network accessline 3270
    * [Phi-4 (14B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Phi_4-Conversational.ipynb)
  • Network accessline 3271
    * [Llama 3.1 (8B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.1_\(8B\)-Alpaca.ipynb)
  • Network accessline 3272
    * [Llama 3.2 (1B + 3B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
  • Network accessline 3273
    * [Qwen 2.5 (7B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_\(7B\)-Alpaca.ipynb)
  • Network accessline 3277
    * [**Qwen2.5-VL**](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Qwen2_5_7B_VL_GRPO.ipynb\&accelerator=nvidiaTeslaT4) - Vision GRPO - new
  • Network accessline 3278
    * [Qwen3 (4B)](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Qwen3_\(4B\)-GRPO.ipynb\&accelerator=nvidiaTeslaT4)
  • Network accessline 3279
    * [Gemma 3 (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma3_\(1B\)-GRPO.ipynb)
  • Network accessline 3280
    * [Llama 3.1 (8B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.1_\(8B\)-GRPO.ipynb)
  • Network accessline 3281
    * [Phi-4 (14B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Phi_4_\(14B\)-GRPO.ipynb)
  • Network accessline 3282
    * [Qwen 2.5 (3B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_\(3B\)-GRPO.ipynb)
  • Network accessline 3286
    * [Sesame-CSM (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Sesame_CSM_\(1B\)-TTS.ipynb)
  • Network accessline 3287
    * [Orpheus-TTS (3B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Orpheus_\(3B\)-TTS.ipynb)
  • Network accessline 3288
    * [Whisper Large V3](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Whisper.ipynb) – Speech-to-Text
  • Network accessline 3289
    * [Llasa-TTS (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llasa_TTS_\(1B\).ipynb)
  • Network accessline 3290
    * [Spark-TTS (0.5B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Spark_TTS_\(0_5B\).ipynb)
  • Network accessline 3291
    * [Oute-TTS (1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Oute_TTS_\(1B\).ipynb)
  • Network accessline 3295
    * [Llama 3.2 Vision (11B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.2_\(11B\)-Vision.ipynb)
  • Network accessline 3296
    * [Qwen 2.5-VL (7B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_VL_\(7B\)-Vision.ipynb)
  • Network accessline 3297
    * [Pixtral (12B) 2409](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Pixtral_\(12B\)-Vision.ipynb)
  • Network accessline 3301
    * [Tool Calling](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/notebooks/blob/main/nb/Kaggle-Qwen2.5_Coder_\(1.5B\)-Tool_Calling.ipynb\&accelerator=nvidiaTeslaT4)
  • Network accessline 3302
    * [ORPO](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3_\(8B\)-ORPO.ipynb)
  • Network accessline 3303
    * [Continued Pretraining](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_v0.3_\(7B\)-CPT.ipynb)
  • Network accessline 3304
    * [DPO Zephyr](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Zephyr_\(7B\)-DPO.ipynb)
  • Network accessline 3305
    * [Inference only](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3.1_\(8B\)-Inference.ipynb)
  • Network accessline 3306
    * [Ollama](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Llama3_\(8B\)-Ollama.ipynb)
  • Network accessline 3307
    * [Text Completion](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_\(7B\)-Text_Completion.ipynb)
  • Network accessline 3308
    * [CodeForces-cot (Reasoning)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-CodeForces-cot-Finetune_for_Reasoning_on_CodeForces.ipynb)
  • Network accessline 3309
    * [Unsloth Studio (chat UI)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Unsloth_Studio.ipynb)
  • Network accessline 3313
    * [Gemma 2 (9B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma2_\(9B\)-Alpaca.ipynb)
  • Network accessline 3314
    * [Gemma 2 (2B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Gemma2_\(2B\)-Alpaca.ipynb)
  • Network accessline 3315
    * [CodeGemma (7B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-CodeGemma_\(7B\)-Conversational.ipynb)
  • Network accessline 3316
    * [Mistral NeMo (12B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_Nemo_\(12B\)-Alpaca.ipynb)
  • Network accessline 3317
    * [Mistral Small (22B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-Mistral_Small_\(22B\)-Alpaca.ipynb)
  • Network accessline 3318
    * [TinyLlama (1.1B)](https://www.kaggle.com/notebooks/welcome?src=https%3A%2F%2Fgithub.com%2Funslothai/notebooks/blob/main/nb/Kaggle-TinyLlama_\(1.1B\)-Alpaca.ipynb)
  • Network accessline 3320
    To view a complete list of all our Kaggle notebooks, [click here](https://github.com/unslothai/notebooks#-kaggle-notebooks).
  • Network accessline 3322
    {% hint style="info" %} Feel free to contribute to the notebooks by visiting our [repo](https://github.com/unslothai/notebooks)!
  • Network accessline 3323
    Feel free to contribute to the notebooks by visiting our [repo](https://github.com/unslothai/notebooks)!
  • Network accessline 3334
    {% hint style="warning" %} Only use Conda if you have it. If not, use [Pip](https://docs.unsloth.ai/get-started/install-and-update/pip-install).
  • Network accessline 3335
    Only use Conda if you have it. If not, use [Pip](https://docs.unsloth.ai/get-started/install-and-update/pip-install).
  • Network accessline 3340
    If you're looking to install Conda in a Linux environment, [read here](https://docs.anaconda.com/miniconda/), or run the below:
  • Network accessline 3358
    mkdir -p ~/miniconda3 wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
  • Network accessline 3359
    wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O ~/miniconda3/miniconda.sh
  • Dangerous shell operationline 3361
    rm -rf ~/miniconda3/miniconda.sh
  • Network accessline 3392
    You can also run your fine-tuned models by using [Unsloth's 2x faster inference](https://docs.unsloth.ai/basics/running-and-saving-models/unsloth-inference).
  • Network accessline 3404
    Unsloth now supports vision/multimodal RL with [Qwen3-VL](https://docs.unsloth.ai/models/qwen3-vl-how-to-run-and-fine-tune), [Gemma 3](https://docs.unsloth.ai/models/gemma-3-how-to-run-and-fine-tune) and more. Due to Unsloth's unique [weigh
  • Network accessline 3406
    Unsloth can train Qwen3-VL-8B with GSPO/GRPO on a free Colab T4 GPU. Other VLMs work too, but may need larger GPUs. Gemma requires newer GPUs than T4 because vLLM [restricts to Bfloat16](https://docs.unsloth.ai/models/gemma-3-how-to-run-and
  • Network accessline 3408
    * **Qwen-3 VL-8B** (vLLM inference)**:** [Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision-GRPO.ipynb)
  • Network accessline 3409
    * **Qwen-2.5 VL-7B** (vLLM inference)**:** [Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_5_7B_VL_GRPO.ipynb) •[ Kaggle](https://www.kaggle.com/notebooks/welcome?src=https://github.com/unslothai/note
  • Network accessline 3410
    * **Gemma-3-4B** (Unsloth inference): [Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision-GRPO.ipynb)
  • Network accessline 3412
    We have also added vLLM VLM integration into Unsloth natively, so all you have to do to use vLLM inference is enable the `fast_inference=True` flag when initializing the model. Special thanks to [Sinoué GAD](https://github.com/unslothai/uns
  • Network accessline 3414
    This VLM support also integrates our latest update for even more memory efficient + faster RL including our [Standby feature](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/memory-efficient-rl#unsloth-standby), which un
  • Access to secretsline 3427
    [Credential-related source omitted]
  • Network accessline 3454
    <pre class="language-bash"><code class="lang-bash">pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git
  • Network accessline 3455
    <strong>pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth-zoo.git
  • Network accessline 3460
    '2025.1.5' is one of the previous old versions of Unsloth. Change it to a specific release listed on our [Github here](https://github.com/unslothai/unsloth/releases).
  • Access to secretsline 3510
    [Credential-related source omitted]
  • Network accessline 3536
    pip install ninja export TORCH_CUDA_ARCH_LIST="12.0" git clone --depth=1 https://github.com/facebookresearch/xformers --recursive
  • Network accessline 3537
    export TORCH_CUDA_ARCH_LIST="12.0" git clone --depth=1 https://github.com/facebookresearch/xformers --recursive cd xformers && python setup.py install && cd ..
  • Network accessline 3538
    git clone --depth=1 https://github.com/facebookresearch/xformers --recursive
  • Network accessline 3541
    uv pip install unsloth bash    curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env
  • Network accessline 3542
    bash    curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env    bash
  • Dangerous shell operationline 3543
    curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env
  • Network accessline 3543
    curl -LsSf https://astral.sh/uv/install.sh | sh && source $HOME/.local/bin/env
  • Network accessline 3552
    bash    uv pip install -qqq \    "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
  • Network accessline 3553
    uv pip install -qqq \    "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \    "unsloth[base] @ git+https://github.com/unslothai/unsloth"
  • Network accessline 3554
    "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
  • Network accessline 3555
    "unsloth[base] @ git+https://github.com/unslothai/unsloth"
  • Network accessline 3561
    pip install ninja    export TORCH_CUDA_ARCH_LIST="12.0"    git clone --depth=1 https://github.com/facebookresearch/xformers --recursive
  • Network accessline 3562
    export TORCH_CUDA_ARCH_LIST="12.0"    git clone --depth=1 https://github.com/facebookresearch/xformers --recursive    cd xformers && python setup.py install && cd ..
  • Network accessline 3563
    git clone --depth=1 https://github.com/facebookresearch/xformers --recursive
  • Network accessline 3566
    uv pip install -U transformers    bash    curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
  • Network accessline 3567
    bash    curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"    bash
  • Network accessline 3568
    curl -L -O "https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-$(uname)-$(uname -m).sh"
  • Network accessline 3574
    conda activate unsloth-blackwell    bash    pip install -U vllm --extra-index-url https://download.pytorch.org/whl/cu128
  • Network accessline 3575
    bash    pip install -U vllm --extra-index-url https://download.pytorch.org/whl/cu128    bash
  • Network accessline 3576
    pip install -U vllm --extra-index-url https://download.pytorch.org/whl/cu128
  • Network accessline 3584
    pip install ninja    export TORCH_CUDA_ARCH_LIST="12.0"    git clone --depth=1 https://github.com/facebookresearch/xformers --recursive
  • Network accessline 3585
    export TORCH_CUDA_ARCH_LIST="12.0"    git clone --depth=1 https://github.com/facebookresearch/xformers --recursive    cd xformers && python setup.py install && cd ..
  • Network accessline 3586
    git clone --depth=1 https://github.com/facebookresearch/xformers --recursive
  • Network accessline 3608
    # Install xformers from source with optimized build flags    pip install -v --no-build-isolation -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers
  • Network accessline 3609
    pip install -v --no-build-isolation -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers
  • Network accessline 3622
    [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image. For Blackwell and 50-series GPUs, use this same image - no separate image needed.
  • Network accessline 3624
    For installation instructions, please follow our [Unsloth Docker guide](https://docs.unsloth.ai/new/how-to-fine-tune-llms-with-unsloth-and-docker).
  • Network accessline 3664
    Google’s Gemma 3n multimodal model handles image, audio, video, and text inputs. Available in 2B and 4B sizes, it supports 140 languages for text and multimodal tasks. You can now run and fine-tune **Gemma-3n-E4B** and **E2B** locally using
  • Network accessline 3666
    > **Fine-tune Gemma 3n with our** [**free Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_\(4B\)-Conversational.ipynb)
  • Network accessline 3674
    <table><thead><tr><th width="249">Dynamic 2.0 GGUF (text only)</th><th width="285">Dynamic 4-bit Instruct (to fine-tune)</th><th>16-bit Instruct</th></tr></thead><tbody><tr><td><ul><li><a href="https://huggingface.co/unsloth/gemma-3n-E2B-it
  • Network accessline 3676
    **See all our Gemma 3n uploads including base and more formats in** [**our collection here**](https://huggingface.co/collections/unsloth/gemma-3n-685d3874830e49e1c93f9339)**.**
  • Network accessline 3720
    {% hint style="info" %} We would first like to thank [Xuan-Son Nguyen](https://x.com/ngxson) from Hugging Face, [Georgi Gerganov](https://x.com/ggerganov) from the llama.cpp team on making Gemma 3N work in llama.cpp!
  • Network accessline 3721
    We would first like to thank [Xuan-Son Nguyen](https://x.com/ngxson) from Hugging Face, [Georgi Gerganov](https://x.com/ggerganov) from the llama.cpp team on making Gemma 3N work in llama.cpp!
  • Network accessline 3724
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Dangerous shell operationline 3745
    ollama rm hf.co/unsloth/gemma-3n-E4B-it-GGUF:UD-Q4_K_XL
  • Network accessline 3752
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
  • Dangerous shell operationline 3754
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 3754
    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 3781
    * It might also be because your inference engine adds an unnecessary "start of sequence" token (or the lack of thereof on the contrary) so ensure you check both hypotheses! * <mark style="background-color:green;">**Use our conversational no
  • Network accessline 3782
    * <mark style="background-color:green;">**Use our conversational notebooks to force the chat template - this will fix most issues.**</mark>   * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/
  • Network accessline 3783
    * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb)
  • Network accessline 3784
    * Gemma-3 4B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb)
  • Network accessline 3785
    * Llama-3.2 3B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
  • Network accessline 3786
    * Phi-4 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb)
  • Network accessline 3787
    * Mistral v0.3 7B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Conversational.ipynb)
  • Network accessline 3788
    * **More notebooks in our** [**notebooks repo**](https://github.com/unslothai/notebooks)**.**
  • Network accessline 3806
    RUN git clone --depth=1 https://github.com/facebookresearch/xformers --recursive && \
  • Network accessline 3824
    !uv pip install -qqq \     "torch>=2.8.0" "triton>=3.4.0" {install_numpy} \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
  • Network accessline 3825
    "torch>=2.8.0" "triton>=3.4.0" {install_numpy} \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \     "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
  • Network accessline 3826
    "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
  • Network accessline 3827
    "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
  • Network accessline 3828
    torchvision bitsandbytes \     git+https://github.com/huggingface/transformers \     git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels
  • Network accessline 3829
    git+https://github.com/huggingface/transformers \
  • Network accessline 3830
    git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels
  • Network accessline 3835
    We’ll load **`gpt-oss-20b`**  using Unsloth's [linearized version](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/..#making-efficient-gpt-oss-fine-tuning-work) (as no other version will work for QLoRA fine-tuning). Configur
  • Network accessline 3862
    * [GRPO notebooks](https://docs.unsloth.ai/unsloth-notebooks#grpo-reasoning-rl-notebooks)
  • Network accessline 3863
    * [ORPO notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-ORPO.ipynb)
  • Network accessline 3864
    * [DPO Zephyr notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Zephyr_\(7B\)-DPO.ipynb)
  • Network accessline 3865
    * [KTO notebook](https://colab.research.google.com/drive/1MRgGtLWuZX4ypSfGguFgC-IblTvO2ivM?usp=sharing)
  • Network accessline 3866
    * [SimPO notebook](https://colab.research.google.com/drive/1Hs5oQDovOay4mFA6Y9lQhVJ8TnbFLFh2?usp=sharing)
  • Network accessline 3868
    We're also in 🤗Hugging Face's official docs! We're on the [SFT docs](https://huggingface.co/docs/trl/main/en/sft_trainer#accelerate-fine-tuning-2x-using-unsloth) and the [DPO docs](https://huggingface.co/docs/trl/main/en/dpo_trainer#acceler
  • Access to secretsline 3873
    [Credential-related source omitted]
  • Network accessline 3905
    Finetuned from [**Mistral-Small-3.1**](https://huggingface.co/unsloth/Mistral-Small-3.1-24B-Instruct-2503-GGUF), Devstral supports a 128k context window. Devstral Small 1.1 has improved performance, achieving a score of 53.6% performance on
  • Network accessline 3917
    All Devstral uploads use our Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) methodology, delivering the best performance on 5-shot MMLU and KL Divergence benchmarks. This means, you can run and fine-tune qua
  • Network accessline 3921
    | Devstral 2507 (new)                                                                                                    | Devstral 2505                                                                                               | | -----
  • Network accessline 3922
    | ---------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------- | | GGUF:
  • Network accessline 3923
    | GGUF: [Devstral-Small-2507-GGUF](https://huggingface.co/unsloth/Devstral-Small-2507-GGUF)                              | [Devstral-Small-2505-GGUF](https://huggingface.co/unsloth/Devstral-Small-2505-GGUF)                         |
  • Network accessline 3924
    | 4-bit BnB: [Devstral-Small-2507-unsloth-bnb-4bit](https://huggingface.co/unsloth/Devstral-Small-2507-unsloth-bnb-4bit) | [Devstral-Small-2505-unsloth-bnb-4bit](https://huggingface.co/unsloth/Devstral-Small-2505-unsloth-bnb-4bit) |
  • Network accessline 3936
    **A system prompt is recommended**, and is a derivative of Open Hand's system prompt. The full system prompt is provided [here](https://huggingface.co/unsloth/Devstral-Small-2505/blob/main/SYSTEM_PROMPT.txt).
  • Network accessline 3946
    2. Run the model with our dynamic quant. Note you can call `ollama serve &`in another terminal if it fails! We include all suggested parameters (temperature etc) in `params` in our Hugging Face upload! 3. Also Devstral supports 128K context
  • Network accessline 3947
    3. Also Devstral supports 128K context lengths, so best to enable [**KV cache quantization**](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-can-i-set-the-quantization-type-for-the-kv-cache). We use 8bit quantization which saves
  • Network accessline 3951
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 3973
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggerganov/llama.cpp
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    RUN git clone https://github.com/triton-lang/triton.git && \
  • Network accessline 4084
    **Not necessarily.** Many assume RAG will consistently outperform a fine-tuned model, but that’s not the case when fine-tuning is done properly. In fact, a well-tuned model often matches or even surpasses RAG-based systems on specialized ta
  • Network accessline 4090
    **Not at all!** While full fine-tuning or pretraining can be costly, these are not necessary (pretraining is especially not necessary). In most cases, LoRA or QLoRA fine-tuning can be done for minimal cost. In fact, with Unsloth’s [free not
  • Network accessline 4107
    We recommend starting with **QLoRA**, as it’s one of the most efficient and accessible methods available. Thanks to Unsloth’s [dynamic 4-bit](https://unsloth.ai/blog/dynamic-4bit) quants, the accuracy loss compared to standard 16-bit LoRA f
  • Network accessline 4113
    {% content-ref url="../fine-tuning-llms-guide/lora-hyperparameters-guide" %} [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
  • Network accessline 4114
    [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
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    * Use `USER_PASSWORD` for sudo operations inside container
  • Network accessline 4193
    Read our full DeepSeek-R1 blogpost here: [unsloth.ai/blog/deepseekr1-dynamic](https://unsloth.ai/blog/deepseekr1-dynamic)
  • Network accessline 4209
    {% tabs %} {% tab title="IQ1\_S code" %} {% file src="<https://3215535692-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxhOjnexMCB3dmuQFQ2Zq%2Fuploads%2FqpBdpW55h5mNAzVoTxPI%2Finference_UD-IQ1_S_3407.txt?alt=media&toke
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    {% tabs %} {% tab title="IQ1\_S basic code" %} {% file src="<https://3215535692-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxhOjnexMCB3dmuQFQ2Zq%2Fuploads%2FFtAMzAucSfKMkkmXItTj%2Finference_basic-IQ1_S_3407.txt?alt=m
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    {% tab title="IQ2\_XXS basic code" %} {% file src="<https://3215535692-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FxhOjnexMCB3dmuQFQ2Zq%2Fuploads%2FajsVHsVqlWpwHk7mY32t%2Finference_basic-IQ2_XXS_3407.txt?alt=media&to
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    If you're still encountering any issues with versions or dependencies, please use our [Docker image](https://docs.unsloth.ai/get-started/install-and-update/docker) which will have everything pre-installed.
  • Network accessline 4288
    * It might also be because your inference engine adds an unnecessary "start of sequence" token (or the lack of thereof on the contrary) so ensure you check both hypotheses! * <mark style="background-color:green;">**Use our conversational no
  • Network accessline 4289
    * <mark style="background-color:green;">**Use our conversational notebooks to force the chat template - this will fix most issues.**</mark>   * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/
  • Network accessline 4290
    * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb)
  • Network accessline 4291
    * Gemma-3 4B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb)
  • Network accessline 4292
    * Llama-3.2 3B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
  • Network accessline 4293
    * Phi-4 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb)
  • Network accessline 4294
    * Mistral v0.3 7B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Conversational.ipynb)
  • Network accessline 4295
    * **More notebooks in our** [**notebooks docs**](https://docs.unsloth.ai/get-started/unsloth-notebooks)
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 4322
    git clone https://github.com/ggerganov/llama.cpp
  • Network accessline 4355
    DeepSeek-R1-0528 is DeepSeek's new update to their R1 reasoning model. The full 671B parameter model requires 715GB of disk space. The quantized dynamic **1.66-bit** version uses 162GB (-80% reduction in size). GGUF: [DeepSeek-R1-0528-GGUF]
  • Network accessline 4357
    DeepSeek also released a R1-0528 distilled version by fine-tuning Qwen3 (8B). The distill achieves similar performance to Qwen3 (235B). ***You can also*** [***fine-tune Qwen3 Distill***](#fine-tuning-deepseek-r1-0528-with-unsloth) ***with U
  • Network accessline 4359
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized DeepSeek LLMs with minimal accuracy loss.
  • Network accessline 4366
    NEW: Huge improvements to tool calling and chat template fixes.\ \ New [TQ1\_0 dynamic 1.66-bit quant](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSeek-R1-0528-UD-TQ1_0.gguf) - 162GB in size. Ideal for 192GB RAM 
  • Network accessline 4367
    \ New [TQ1\_0 dynamic 1.66-bit quant](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSeek-R1-0528-UD-TQ1_0.gguf) - 162GB in size. Ideal for 192GB RAM (including Mac) and Ollama users. Try: `ollama run hf.co/unsloth/
  • Network accessline 4368
    New [TQ1\_0 dynamic 1.66-bit quant](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSeek-R1-0528-UD-TQ1_0.gguf) - 162GB in size. Ideal for 192GB RAM (including Mac) and Ollama users. Try: `ollama run hf.co/unsloth/De
  • Network accessline 4387
    According to [DeepSeek](https://huggingface.co/deepseek-ai/DeepSeek-R1-0528), these are the recommended settings for R1 (R1-0528 and Qwen3 distill should use the same settings) inference:
  • Network accessline 4404
    * Qwen3 (8B) distill: [DeepSeek-R1-0528-Qwen3-8B-GGUF](https://huggingface.co/unsloth/DeepSeek-R1-0528-Qwen3-8B-GGUF)
  • Network accessline 4407
    We also uploaded [IQ4\_NL](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF/tree/main/IQ4_NL) and [Q4\_1](https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF/tree/main/Q4_1) quants which run specifically faster for ARM and Apple device
  • Network accessline 4409
    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type + Link</th><th>Disk Size</th><th>Details</th></tr></thead><tbody><tr><td>1.66bit</td><td><a href="https://huggingface.co/unsloth/DeepSeek-R1-0528-GGUF?show_file_info=DeepSe
  • Network accessline 4411
    We've also uploaded versions in [BF16 format](https://huggingface.co/unsloth/DeepSeek-R1-0528-BF16), and original [FP8 (float8) format](https://huggingface.co/unsloth/DeepSeek-R1-0528).
  • Network accessline 4425
    Open WebUI has made an step-by-step tutorial on how to run R1 here and for R1-0528, you will just need to replace R1 with the new 0528 quant: [docs.openwebui.com/tutorials/integrations/deepseekr1-dynamic/](https://docs.openwebui.com/tutoria
  • Network accessline 4433
    1. <mark style="background-color:yellow;">**To run the full 720GB R1-0528 model,**</mark> [<mark style="background-color:yellow;">**see here**</mark>](#run-full-r1-0528-on-llama.cpp)<mark style="background-color:yellow;">**.**</mark> Obtain
  • Network accessline 4439
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 4455
    3. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose `UD-IQ1_S`(dynamic 1.78bit quant) or other quantized versions like `Q4_K_M` . We <mark style="background-color:green;">**recommend using
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    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    GLM-4.6 is the latest reasoning model from **Z.ai**, achieving SOTA performance on coding and agent benchmarks while offering improved conversational chats. The full 355B parameter model requires **400GB** of disk space, while the Unsloth D
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    You asked for benchmarks on our quants, so we’re showcasing Aider Polyglot results! Our Dynamic 3-bit DeepSeek V3.1 GGUF scores **75.6%**, surpassing many full-precision SOTA LLMs. [Read more.](https://docs.unsloth.ai/new/unsloth-dynamic-gg
  • Network accessline 4509
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and Aider performance, meaning you can run & fine-tune quantized GLM LLMs with minimal accuracy loss.
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    {% stepper %} {% step %} Install `ollama` if you haven't already! To run more variants of the model, [see here](https://docs.unsloth.ai/deepseek-v3.1-how-to-run-locally#run-in-llama.cpp).
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    Install `ollama` if you haven't already! To run more variants of the model, [see here](https://docs.unsloth.ai/deepseek-v3.1-how-to-run-locally#run-in-llama.cpp).
  • Network accessline 4566
    {% stepper %} {% step %} Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or jus
  • Network accessline 4568
    Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    Unsloth Docker image: [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth)
  • Network accessline 4643
    Install Docker via [Linux](https://docs.docker.com/engine/install/) or [Desktop](https://docs.docker.com/desktop/) (other).\
  • Network accessline 4644
    Then install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation):
  • Dangerous shell operationline 4647
    </strong>sudo apt-get update &#x26;&#x26; sudo apt-get install -y \
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    [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image. For Blackwell and 50-series GPUs, use this same image - no separate one needed.
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    Go to [http://localhost:8888](http://localhost:8888/) and open Unsloth.
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    If you're new, follow our step-by-step [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide), [RL Guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) or just save/copy any of our premade [no
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  • Network accessline 4740
    One of the key parts of creating a dataset is your [chat template](https://docs.unsloth.ai/basics/chat-templates) and how you are going to design it. Tokenization is also important as it breaks text into tokens, which can be words, sub-word
  • Network accessline 4759
    * Chat-based dialogues (Q\&A, learn a new language, customer support, conversations). * Structured tasks ([classification](https://colab.research.google.com/github/timothelaborie/text_classification_scripts/blob/main/unsloth_classification.
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    * Structured tasks ([classification](https://colab.research.google.com/github/timothelaborie/text_classification_scripts/blob/main/unsloth_classification.ipynb), summarization, generation tasks).
  • Network accessline 4789
    For [**continued pretraining**](https://docs.unsloth.ai/basics/continued-pretraining), we use raw text format without specific structure:
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    If we are adapting a model to a new task, and intend for the model to output text in a single turn based on a specific set of instructions, we can use **Instruction** format in [Alpaca style](https://docs.unsloth.ai/basics/tutorial-how-to-f
  • Network accessline 4828
    <mark style="color:green;">**A:**</mark>  If your dataset is already formatted in the Alpaca format, then follow the formatting steps as shown in the Llama3.1 [notebook ](https://colab.research.google.com/github/unslothai/notebooks/blob/mai
  • Network accessline 4836
    <mark style="color:green;">**A:**</mark>  The `chat_template` attribute when a model is first uploaded by the original model owners sometimes contains errors and may take time to be updated. In contrast, at Unsloth, we thoroughly check and 
  • Network accessline 4840
    <mark style="color:green;">**A:**</mark>  Submit a feature request on the unsloth github issues [forum](https://github.com/unslothai/unsloth). As a temporary workaround, you could also use the tokenizer's own apply\_chat\_template function 
  • Network accessline 4846
    * Produce entirely new data - either from scratch or from your existing dataset * Diversify your dataset so your model does not [overfit](https://docs.unsloth.ai/get-started/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting) 
  • Network accessline 4847
    * Diversify your dataset so your model does not [overfit](https://docs.unsloth.ai/get-started/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting) and become too specific
  • Network accessline 4852
    We collaborated with Meta to launch a free notebook for creating Synthetic Datasets automatically using local models like Llama 3.2. [Access the notebook here.](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Meta_
  • Network accessline 4889
    If you want to fine-tune a model that already has reasoning capabilities like the distilled versions of DeepSeek-R1 (e.g. DeepSeek-R1-Distill-Llama-8B), you will need to still follow question/task and answer pairs however, for your answer y
  • Network accessline 4891
    For a model that does not have reasoning and you want to train it so that it later encompasses reasoning capabilities, you will need to utilize a standard dataset but this time without reasoning in its answers. This is training process is k
  • Network accessline 4897
    * Standardize the format of all datasets, combine them into a single dataset, and fine-tune on this unified dataset. * Use the [Multiple Datasets](https://colab.research.google.com/drive/1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) notebo
  • Network accessline 4898
    * Use the [Multiple Datasets](https://colab.research.google.com/drive/1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) notebook to fine-tune on multiple datasets directly.
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    You can access the GPT4 version of the Alpaca dataset [here](https://huggingface.co/datasets/vicgalle/alpaca-gpt4.). Below shows some examples of the dataset:
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    The dataset for fine-tuning a vision or multimodal model also includes image inputs. For example, the [Llama 3.2 Vision Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb#scroll
  • Network accessline 4990
    We'll be using a sampled version of the ROCO radiography dataset. You can access the dataset [here](https://www.google.com/url?q=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Funsloth%2FRadiology_mini). The dataset includes X-rays, CT scans and 
  • Network accessline 4994
    | Image                                                                                                                                                                                                                                         
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    [Credential-related source omitted]
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    For more details, view our dataset section in the [notebook here](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb#scrollTo=vITh0KVJ10qX).
  • Network accessline 5082
    * **Operating System**: Works on Linux and Windows. * Supports NVIDIA GPUs since 2018+ including [Blackwell RTX 50](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and [**DGX Spark**](https://docs.u
  • Network accessline 5083
    * Supports NVIDIA GPUs since 2018+ including [Blackwell RTX 50](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and [**DGX Spark**](https://docs.unsloth.ai/basics/fine-tuning-llms-with-nvidia-dgx-sp
  • Network accessline 5084
    Minimum CUDA Capability 7.0 (V100, T4, Titan V, RTX 20 & 50, A100, H100, L40 etc) [Check your GPU!](https://developer.nvidia.com/cuda-gpus) GTX 1070, 1080 works, but is slow.
  • Network accessline 5085
    * The official [Unsloth Docker image](https://hub.docker.com/r/unsloth/unsloth) `unsloth/unsloth` is available on Docker Hub.
  • Network accessline 5086
    * Unsloth works on [AMD](https://docs.unsloth.ai/new/fine-tuning-llms-on-amd-gpus-with-unsloth) and [Intel](https://github.com/unslothai/unsloth/pull/2621) GPUs! Apple/Silicon/MLX is in the works.
  • Network accessline 5101
    **For context length benchmarks, see** [**here**](https://docs.unsloth.ai/basics/unsloth-benchmarks#context-length-benchmarks)**.**
  • Network accessline 5134
    <table><thead><tr><th width="212.9000244140625">Argument</th><th>Example and use-case</th></tr></thead><tbody><tr><td><strong><code>--gpu-memory-utilization</code></strong></td><td>Default 0.9. How much VRAM usage vLLM can use. Reduce if go
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    curl -X POST http://localhost:8000/v1/load_lora_adapter \
  • Network accessline 5204
    Qwen released QwQ-32B - a reasoning model with performance comparable to DeepSeek-R1 on many [benchmarks](https://qwenlm.github.io/blog/qwq-32b/). However, people have been experiencing **infinite generations**, **many repetitions**, \<thin
  • Network accessline 5212
    | [GGUF](https://huggingface.co/unsloth/QwQ-32B-GGUF) | [Dynamic 4-bit](https://huggingface.co/unsloth/QwQ-32B-unsloth-bnb-4bit) | [BnB 4-bit](https://huggingface.co/unsloth/QwQ-32B-bnb-4bit) | [16-bit](https://huggingface.co/unsloth/QwQ-32
  • Network accessline 5217
    According to [Qwen](https://huggingface.co/Qwen/QwQ-32B), these are the recommended settings for inference:
  • Network accessline 5244
    Courtesy to [@krist486](https://x.com/krist486/status/1897885598196654180) for bringing llama.cpp sampling directions to my attention.
  • Network accessline 5248
    We investigated usage of `dry penalty`  as suggested in <https://github.com/ggml-org/llama.cpp/blob/master/examples/main/README.md> using a value of 0.8, but we actually found this to **rather cause syntax issues especially for coding**. If
  • Network accessline 5260
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 5262
    2. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose Q4\_K\_M, or other quantized versions (like BF16 full precision). More versions at: <https://huggingface.co/unsloth/QwQ-32B-GGUF>
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    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    Qwen3-VL has vision, video and OCR capabilities as well as 256K context (can be extended to 1M).\ \ [Unsloth](https://github.com/unslothai/unsloth) supports **Qwen3-VL fine-tuning and** [**RL**](https://docs.unsloth.ai/new/vision-reinforcem
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    [Unsloth](https://github.com/unslothai/unsloth) supports **Qwen3-VL fine-tuning and** [**RL**](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl). Train Qwen3-VL (8B) for free with our [notebooks](#fine-tuning-qwen3-vl).
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    | <ul><li><a href="https://huggingface.co/unsloth/Qwen3-VL-2B-Instruct-GGUF">2B-Instruct</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-VL-2B-Thinking-GGUF">2B-Thinking</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-VL
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    Qwen3-VL also used the below settings for their benchmarking numbers, as mentioned [on GitHub](https://github.com/QwenLM/Qwen3-VL/tree/main?tab=readme-ov-file#generation-hyperparameters).
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    2. **Let's first get an image!** You can also upload images as well. We shall use <https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/unsloth%20made%20with%20love.png>, which is just our mini logo showing how finetun
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    4. Let's get the 2nd image at <https://files.worldwildlife.org/wwfcmsprod/images/Sloth_Sitting_iStock_3_12_2014/story_full_width/8l7pbjmj29_iStock_000011145477Large_mini__1_.jpg>
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    We uploaded dynamic 4-bit quants to: <https://huggingface.co/unsloth/QwQ-32B-unsloth-bnb-4bit>
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    Since vLLM 0.7.3 (2025 February 20th) <https://github.com/vllm-project/vllm/releases/tag/v0.7.3>, vLLM now supports loading Unsloth dynamic 4bit quants!
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    All our GGUFs are at <https://huggingface.co/unsloth/QwQ-32B-GGUF>!
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    According to the Min\_p paper <https://arxiv.org/pdf/2407.01082>, for more creative and diverse outputs, and if you still see repetitions, try disabling top\_p and top\_k!
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    {% embed url="<https://www.youtube.com/watch?v=SoPE1cUz3Hs>" %}
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    {% embed url="<https://www.youtube.com/watch?t=3289s&v=bbFEYPx9Hpo>" %}
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    {% embed url="<https://www.youtube.com/watch?v=juOh1afy-IE>" %}
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    {% embed url="<https://www.youtube.com/watch?v=oF0_eMhzRaQ>" %}
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    You can then run the merged QAT lower precision model in vLLM, Unsloth and other systems for inference! These are all in the [Qwen3-4B QAT Colab notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\
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    <table data-full-width="true"><thead><tr><th>MoE Bits</th><th>Type</th><th>Disk Size</th><th>Accuracy</th><th>Link</th><th>Details</th></tr></thead><tbody><tr><td>1.58bit</td><td>UD-IQ1_S</td><td><strong>131GB</strong></td><td>Fair</td><td>
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    5. To test our Flappy Bird example as mentioned in our blog post here: <https://unsloth.ai/blog/deepseekr1-dynamic>, we can produce the 2nd example like below using our 1.58bit dynamic quant:
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    <table><thead><tr><th width="249">Dynamic GGUFs</th><th>Dynamic 4-bit + FP8</th><th>16-bit Instruct</th></tr></thead><tbody><tr><td><ul><li><a href="https://huggingface.co/unsloth/granite-4.0-h-350m-GGUF">H-350M</a></li><li><a href="https:/
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    You can also view our [Granite-4.0 collection](https://huggingface.co/collections/unsloth/granite-40-68ddf64b4a8717dc22a9322d) for all uploads including Dynamic Float8 quants etc.
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    * **LoRA:** 16-bit fine-tuning. It's slightly faster and slightly more accurate, but consumes significantly more VRAM (4× more than QLoRA). Recommended for 16-bit environments and scenarios where maximum accuracy is required. * **QLoRA:** 4
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    :sloth: *70B LLaMA fits in <48GB VRAM with QLoRA in Unsloth -* [*more details here*](https://unsloth.ai/blog/llama3-3)*.*
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    [Read our blog post](https://unsloth.ai/blog/gradient) for more details.
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    A regularization technique that helps [prevent overfitting](#overfitting-poor-generalization-too-specialized) by randomly setting a fraction of the LoRA activations to zero during each training step. [Recent research suggests](https://arxiv
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    Options are `True`, `False`, and `"unsloth"`. \    🦥 *We recommend* `"unsloth"` *as it reduces memory usage by an extra 30% and supports extremely long context fine-tunes. You can read more on* [*our blog post about long context training*](
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    🦥 *We recommend* `"unsloth"` *as it reduces memory usage by an extra 30% and supports extremely long context fine-tunes. You can read more on* [*our blog post about long context training*](https://unsloth.ai/blog/long-context)*.*\\
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    An advanced feature that implements [**Rank-Stabilized LoRA**](https://arxiv.org/abs/2312.03732). If set to `True`, the effective scaling becomes `lora_alpha / sqrt(r)` instead of the standard `lora_alpha / r`. This can sometimes improve st
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    An advanced technique, as proposed in [**LoftQ**](https://arxiv.org/abs/2310.08659), initializes LoRA matrices with the top 'r' singular vectors from the pretrained weights. This can improve accuracy but may cause a significant memory spike
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    When validating that **LoRA** adapter weights have been updated after fine-tuning, avoid using **np.allclose()** for comparison. This method can miss subtle but meaningful changes, particularly in **LoRA A**, which is initialized with small
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    According to the [rsLoRA (rank stabilized lora) paper](https://arxiv.org/abs/2312.03732), we should instead scale alpha by the sqrt of the rank. Other options exist, but theoretically this is the optimum. The left plot shows other ranks and
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    According to empirical experiments and research papers like the original [QLoRA paper](https://arxiv.org/pdf/2305.14314), it's best to apply LoRA to both attention and MLP layers.
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    The [QLoRA paper](https://arxiv.org/pdf/2305.14314) shows that masking out inputs and **training only on completions** (outputs or assistant messages) can further **increase accuracy** by a few percentage points (*1%*). Below demonstrates h
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    The QLoRA paper states that **training on completions only** increases accuracy by quite a bit, especially for multi-turn conversational finetunes! We do this in our [conversational notebooks here](https://colab.research.google.com/github/u
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    ***Acknowledgements:** A huge thank you to* [*Eyera*](https://huggingface.co/Orenguteng) *for contributing to this guide!*
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    {% hint style="success" %} For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    This article covers everything (from beginner to advanced) you need to know about GRPO, Reinforcement Learning (RL) and reward functions, along with tips, and the basics of using GRPO with [Unsloth](https://github.com/unslothai/unsloth). If
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    {% column %} OpenAI popularized the concept of [RLHF](https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) (Reinforcement Learning from Human Feedback), where we train an <mark style="background-color:red;">**"agent"**<
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    OpenAI popularized the concept of [RLHF](https://en.wikipedia.org/wiki/Reinforcement_learning_from_human_feedback) (Reinforcement Learning from Human Feedback), where we train an <mark style="background-color:red;">**"agent"**</mark> to pro
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    {% column %} In order to do RLHF, [<mark style="background-color:red;">**PPO**</mark>](https://en.wikipedia.org/wiki/Proximal_policy_optimization) (Proximal policy optimization) was developed. The <mark style="background-color:blue;">**agen
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    In order to do RLHF, [<mark style="background-color:red;">**PPO**</mark>](https://en.wikipedia.org/wiki/Proximal_policy_optimization) (Proximal policy optimization) was developed. The <mark style="background-color:blue;">**agent**</mark> is
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    The formula for PPO looks quite complicated because it was designed to be stable. Visit our [AI Engineer talk](https://docs.unsloth.ai/ai-engineers-2025) we gave in 2025 about RL for more in depth maths derivations about PPO.
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    {% column %} DeepSeek developed [<mark style="background-color:red;">**GRPO**</mark>](https://unsloth.ai/blog/grpo) (Group Relative Policy Optimization) to train their R1 reasoning models. The key differences to PPO are:
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    DeepSeek developed [<mark style="background-color:red;">**GRPO**</mark>](https://unsloth.ai/blog/grpo) (Group Relative Policy Optimization) to train their R1 reasoning models. The key differences to PPO are:
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    2. Code output can be verified as having executed correctly or not. 3. Designing verifiable reward functions can be tough, and so most examples are math or code. 4. Use-cases for GRPO isn’t just for code or math—its reasoning process can en
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    4. Use-cases for GRPO isn’t just for code or math—its reasoning process can enhance tasks like email automation, database retrieval, law, and medicine, greatly improving accuracy based on your dataset and reward function - the trick is to d
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    * With 15GB VRAM, Unsloth allows you to transform any model up to 17B parameters like Llama 3.1 (8B), Phi-4 (14B), Mistral (7B) or Qwen2.5 (7B) into a reasoning model * **Unsloth now supports** [**RL for Vision/multimodal**](https://docs.un
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    * **Unsloth now supports** [**RL for Vision/multimodal**](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl) **models!**
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    {% content-ref url="reinforcement-learning-rl-guide/tutorial-train-your-own-reasoning-model-with-grpo" %} [tutorial-train-your-own-reasoning-model-with-grpo](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/tutorial-train
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    [tutorial-train-your-own-reasoning-model-with-grpo](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/tutorial-train-your-own-reasoning-model-with-grpo)
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    | [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) **GSPO -** new | [**Qwen3-VL-8B**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_
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    | -------------------------------------------------------------------------------------------------------------------------------------- | -----------------------------------------------------------------------------------------------------
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    | [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) - Advanced         | [**DeepSeek-R1-0528-Qwen3-8B**](https://colab.research.google.com/github/unslothai/notebooks/blob/mai
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    | [Gemma 3 (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(1B\)-GRPO.ipynb)                     | [Phi-4 (14B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4_\(14B\)
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    | [Mistral v0.3 (7B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-GRPO.ipynb)          | [Llama 3.1 (8B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.1_\
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    {% hint style="success" %} **NEW!** We now support [**GSPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/gspo-reinforcement-learning) and most other new GRPO techniques. You can play with the following arguments in 
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    **NEW!** We now support [**GSPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/gspo-reinforcement-learning) and most other new GRPO techniques. You can play with the following arguments in GRPOConfig to enable:
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    {% hint style="success" %} [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#new-saving-to-gguf-vllm-after-gpt-oss-training)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM,
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    [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#new-saving-to-gguf-vllm-after-gpt-oss-training)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM, HF etc.
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    We also introduced [Unsloth Flex Attention](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support) which enables **>8× longer context lengths**, **>50% less VRAM usage** and **>1.5× faster t
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    > [**Fine-tune**](#fine-tuning-gpt-oss-with-unsloth) **gpt-oss-20b for free with our** [**Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-Fine-tuning.ipynb)
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    Trained with [RL](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide), **gpt-oss-120b** rivals o4-mini and **gpt-oss-20b** rivals o3-mini. Both excel at function calling and CoT reasoning, surpassing o1 and GPT-4o.
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    * 20B: [gpt-oss-**20B**](https://huggingface.co/unsloth/gpt-oss-20b-GGUF)
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    * 120B: [gpt-oss-**120B**](https://huggingface.co/unsloth/gpt-oss-120b-GGUF)
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    OpenAI released a standalone parsing and tokenization library called [Harmony](https://github.com/openai/harmony) which allows one to tokenize conversations to OpenAI's preferred format for gpt-oss. The official OpenAI [cookbook article](ht
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    We made a [MXFP4 inference notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/GPT_OSS_MXFP4_\(20B\)-Inference.ipynb) as well in Tesla T4 Colab!
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    {% hint style="info" %} [Software emulation](https://triton-lang.org/main/python-api/generated/triton.language.dot_scaled.html) enables targeting hardware architectures without native microscaling operation support. Right now for such case,
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    [Software emulation](https://triton-lang.org/main/python-api/generated/triton.language.dot_scaled.html) enables targeting hardware architectures without native microscaling operation support. Right now for such case, microscaled lhs/rhs are
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    To achieve inference speeds of 6+ tokens per second for our Dynamic 4-bit quant, have at least **14GB of unified memory** (combined VRAM and RAM) or **14GB of system RAM** alone. As a rule of thumb, your available memory should match or exc
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    > **You can run gpt-oss-20b for free with our** [**Google Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/GPT_OSS_MXFP4_\(20B\)-Inference.ipynb)
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    **Magistral-Small-2509** is a reasoning LLM developed by Mistral AI. It excels at coding and mathematics and supports multiple languages.  Magistral supports a 128k token context window and was finetuned from [**Mistral-Small-3.2**](https:/
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    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized Mistral LLMs with minimal accuracy loss.
  • Network accessline 6839
    <table><thead><tr><th width="255.64999389648438">Dynamic 2.0 GGUF (to run)</th><th width="305.25">Dynamic 4-bit (to finetune/deploy)</th><th>Dynamic Float8</th></tr></thead><tbody><tr><td><ul><li><a href="https://huggingface.co/unsloth/Magi
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    2. Run the model with our dynamic quant. We did not set the context length automatically, so it will just use Ollama's default set context length.\    Note you can call `ollama serve &`in another terminal if it fails! We include all suggest
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    Note you can call `ollama serve &`in another terminal if it fails! We include all suggested parameters (temperature etc) in `params` in our Hugging Face upload! 3. Also Magistral supports 40K context lengths, so best to enable [**KV cache q
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    3. Also Magistral supports 40K context lengths, so best to enable [**KV cache quantization**](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-can-i-set-the-quantization-type-for-the-kv-cache). We use 8bit quantization which saves
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    4. **Ollama also sets the default context length to 4096**, as [mentioned here](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-can-i-specify-the-context-window-size). Use `OLLAMA_CONTEXT_LENGTH=8192` to change it to 8192. Magist
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 6942
    ## From https://mlabonne.github.io/blog/posts/Quantize_Llama_2_models_using_ggml.html
  • Network accessline 6944
    **URL:** llms-txt#from-https://mlabonne.github.io/blog/posts/quantize_llama_2_models_using_ggml.html
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    bash apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y git clone https://github.com/ggerganov/llama.cpp
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggerganov/llama.cpp
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    bash apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y git clone https://github.com/ggerganov/llama.cpp
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggerganov/llama.cpp
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    Or follow the steps at <https://rentry.org/llama-cpp-conversions#merging-loras-into-a-model> using the model name "merged\_model" to merge to GGUF.
  • Network accessline 7034
    * It might also be because your inference engine adds an unnecessary "start of sequence" token (or the lack of thereof on the contrary) so ensure you check both hypotheses! * <mark style="background-color:green;">**Use our conversational no
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    * <mark style="background-color:green;">**Use our conversational notebooks to force the chat template - this will fix most issues.**</mark>   * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/
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    * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb)
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    * Gemma-3 4B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb)
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    * Llama-3.2 3B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
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    * Phi-4 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb)
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    * Mistral v0.3 7B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Conversational.ipynb)
  • Network accessline 7041
    * **More notebooks in our** [**notebooks docs**](https://docs.unsloth.ai/get-started/unsloth-notebooks)
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    Microsoft's new Phi-4 reasoning models are now supported in Unsloth. The 'plus' variant performs on par with OpenAI's o1-mini, o3-mini and Sonnet 3.7. The 'plus' and standard reasoning models are 14B parameters while the 'mini' has 4B param
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    All Phi-4 reasoning uploads use our [Unsloth Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) methodology.
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    | Dynamic 2.0 GGUF (to run)                                                                                                                                                                                                                     
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    | <ul><li><a href="https://huggingface.co/unsloth/Phi-4-reasoning-plus-GGUF/">Reasoning-plus</a> (14B)</li></ul><ul><li><a href="https://huggingface.co/unsloth/Phi-4-reasoning-GGUF">Reasoning</a> (14B)</li></ul><ul><li><a href="https://hugg
  • Network accessline 7121
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    Fine-tuning vision models enables model to excel at certain tasks normal LLMs won't be as good as such as object/movement detection. **You can also train** [**VLMs with RL**](https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl)
  • Network accessline 7163
    * **NEW: Qwen3-VL (8B) Vision:** [**Notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_VL_\(8B\)-Vision.ipynb)
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    * **Gemma 3 (4B) Vision:** [Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision.ipynb)
  • Network accessline 7165
    * **Llama 3.2 Vision** fine-tuning for radiography: [Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb)\
  • Network accessline 7166
    How can we assist medical professionals in analyzing Xrays, CT Scans & ultrasounds faster. * **Qwen2.5 VL** fine-tuning for converting handwriting to LaTeX: [Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/n
  • Network accessline 7167
    * **Qwen2.5 VL** fine-tuning for converting handwriting to LaTeX: [Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_VL_\(7B\)-Vision.ipynb)\
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    This allows complex math formulas to be easily transcribed as LaTeX without manually writing it. * **Pixtral 12B 2409** vision fine-tuning for general Q\&A: [Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/n
  • Network accessline 7169
    * **Pixtral 12B 2409** vision fine-tuning for general Q\&A: [Notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Pixtral_\(12B\)-Vision.ipynb)\
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    The dataset for fine-tuning a vision or multimodal model is similar to standard question & answer pair [datasets ](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide), but this time, they also includes image inputs. F
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    We'll be using a sampled version of the ROCO radiography dataset. You can access the dataset [here](https://www.google.com/url?q=https%3A%2F%2Fhuggingface.co%2Fdatasets%2Funsloth%2FRadiology_mini). The dataset includes X-rays, CT scans and 
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    | Image                                                                                                                                                                                                                                         
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    [Credential-related source omitted]
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    For more details, view our dataset section in the [notebook here](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(11B\)-Vision.ipynb#scrollTo=vITh0KVJ10qX).
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    [Reward Functions/Verifiers](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/..#reward-functions-verifier) lets us know if the model is doing well or not according to the dataset you have provided. Each generation run wi
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    You can input your generations into an LLM like ChatGPT 4o or Llama 3.1 (8B) and design a reward function and verifier to evaluate it. For example, feed your generations into a LLM of your choice and set a rule: "If the answer sounds too ro
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    We have pre-selected hyperparameters for the most optimal results however you could change them. Read all about [parameters here](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide). For **advanced GRPO** 
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    LLMs often struggle with tasks that involve complex environments. However, by applying [reinforcement learning](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) (RL) and designing a custom [reward function](https://docs.
  • Network accessline 7366
    RL can be adapted for tasks such as auto kernel or strategy creation. This tutorial shows how to train **gpt-oss** with [**GRPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide#from-rlhf-ppo-to-grpo-and-rlvr) and Unslo
  • Network accessline 7368
    | [2048 notebook](https://colab.research.google.com/github/openai/gpt-oss/blob/main/examples/reinforcement-fine-tuning.ipynb) (Official OpenAI example) | [Kernel generation notebook](https://colab.research.google.com/github/unslothai/notebo
  • Network accessline 7392
    Load the 20B model in 4‑bit QLoRA for memory efficiency, then wrap it with a LoRA adapter. You can also train it in 16-bit LoRA but it will use 4x more memory. For more settings view our [configuration guide](https://docs.unsloth.ai/get-sta
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    !uv pip install -qqq \     "torch>=2.8.0" "triton>=3.4.0" {get_numpy} torchvision bitsandbytes "transformers==4.56.2" \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
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    "torch>=2.8.0" "triton>=3.4.0" {get_numpy} torchvision bitsandbytes "transformers==4.56.2" \     "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \     "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
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    "unsloth_zoo[base] @ git+https://github.com/unslothai/unsloth-zoo" \
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    "unsloth[base] @ git+https://github.com/unslothai/unsloth" \
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    git+https://github.com/triton-lang/triton.git@05b2c186c1b6c9a08375389d5efe9cb4c401c075#subdirectory=python/triton_kernels
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    DeepSeek’s V3.1 and **Terminus** update introduces hybrid reasoning inference, combining 'think' and 'non-think' into one model. The full 671B parameter model requires 715GB of disk space. The quantized dynamic 2-bit version uses 245GB (-75
  • Network accessline 7676
    {% hint style="success" %} **NEW:** DeepSeek-V3.1-Terminus out now: [DeepSeek-V3.1-Terminus-GGUF](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)\
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    **NEW:** DeepSeek-V3.1-Terminus out now: [DeepSeek-V3.1-Terminus-GGUF](https://huggingface.co/unsloth/DeepSeek-V3.1-Terminus-GGUF)\
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    [**Sept 10, 2025 update:**](https://docs.unsloth.ai/new/unsloth-dynamic-ggufs-on-aider-polyglot) You asked for tougher benchmarks, so we’re showcasing Aider Polyglot results! Our Dynamic 3-bit DeepSeek V3.1 GGUF scores **75.6%**, surpassing
  • Network accessline 7684
    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized DeepSeek LLMs with minimal accuracy loss.
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    1. DeepSeek V3.1 is a hybrid reasoning model, meaning you can change the chat template to enable reasoning. The chat template introduced `thinking = True` , but other models use `enable_thinking = True` . We added the option to use `enable_
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    2. llama.cpp's jinja renderer via [minja](https://github.com/google/minja) does not allow the use of extra arguments in the `.split()` command, so using `.split(text, 1)` works in Python, but not in minja. We had to change this to make llam
  • Network accessline 7716
    According to [DeepSeek](https://huggingface.co/deepseek-ai/DeepSeek-V3.1), these are the recommended settings for V3.1 inference:
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    {% step %} Open WebUI also made a [step-by-step tutorial](https://docs.openwebui.com/tutorials/integrations/deepseekr1-dynamic/) on how to run R1 and for V3.1, you will just need to replace R1 with the new V3.1 quant.
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    Open WebUI also made a [step-by-step tutorial](https://docs.openwebui.com/tutorials/integrations/deepseekr1-dynamic/) on how to run R1 and for V3.1, you will just need to replace R1 with the new V3.1 quant.
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    {% stepper %} {% step %} Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or jus
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    Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    url = "https://huggingface.co/datasets/laion/OIG/resolve/main/unified_chip2.jsonl"
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    year         = {2025},   publisher    = {Hugging Face},   howpublished = {\url{https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF}}
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    publisher    = {Hugging Face},   howpublished = {\url{https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF}} }
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    howpublished = {\url{https://huggingface.co/unsloth/Qwen3-30B-A3B-GGUF}}
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    year         = {2025},   publisher    = {Github},   howpublished = {\url{https://github.com/unslothai/unsloth}}
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    publisher    = {Github},   howpublished = {\url{https://github.com/unslothai/unsloth}} }
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    howpublished = {\url{https://github.com/unslothai/unsloth}}
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    * For more detailed benchmarks, read our [Llama 3.3 Blog](https://unsloth.ai/blog/llama3-3).&#x20;
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    * Benchmarking of Unsloth was also conducted by [🤗Hugging Face](https://huggingface.co/blog/unsloth-trl).
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    Tested on H100 and [Blackwell](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) GPUs. We tested using the Alpaca Dataset, a batch size of 2, gradient accumulation steps of 4, rank = 32, and applied Q
  • Network accessline 8037
    {% hint style="info" %} The more data you have, the less VRAM Unsloth uses due to our [gradient checkpointing](https://unsloth.ai/blog/long-context) algorithm + Apple's CCE algorithm!
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    The more data you have, the less VRAM Unsloth uses due to our [gradient checkpointing](https://unsloth.ai/blog/long-context) algorithm + Apple's CCE algorithm!
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    As shown at [OpenAI DevDay](https://x.com/UnslothAI/status/1976284209842118714), gpt-oss-20b was trained with RL and Unsloth on DGX Spark to auto-win 2048. You can train using Unsloth in a Docker container or virtual environment on DGX Spar
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    First, build the Docker image using the DGX Spark Dockerfile which can be [found here](https://raw.githubusercontent.com/unslothai/notebooks/main/Dockerfile_DGX_Spark). You can also run the below in a Terminal in the DGX Spark:
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    sudo apt update && sudo apt install -y wget
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    sudo apt update && sudo apt install -y wget wget -O Dockerfile "https://raw.githubusercontent.com/unslothai/notebooks/main/Dockerfile_DGX_Spark"
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    wget -O Dockerfile "https://raw.githubusercontent.com/unslothai/notebooks/main/Dockerfile_DGX_Spark"
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    You can fine-tune DeepSeek-OCR to enhance its vision or language performance. In our Unsloth [**free fine-tuning notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb), we demonstrat
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    > **Our model upload that enables fine-tuning + more inference support:** [**DeepSeek-OCR**](https://huggingface.co/unsloth/DeepSeek-OCR)
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    {% hint style="success" %} [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM, HF 
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    [**Aug 28 update**](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support)**:** You can now export/save your QLoRA fine-tuned gpt-oss model to llama.cpp, vLLM, HF etc.
  • Network accessline 8187
    We also introduced [Unsloth Flex Attention](https://docs.unsloth.ai/models/long-context-gpt-oss-training#introducing-unsloth-flex-attention-support) which enables **>8× longer context lengths**, **>50% less VRAM usage** and **>1.5× faster t
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    > **Quickstart:** Fine-tune gpt-oss-20b for free with our: [Colab notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-Fine-tuning.ipynb)
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    This section covers fine-tuning gpt-oss using our Google Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks). You can also save and use the gpt-oss notebook into your favorite code editor and follow our [local gpt-oss g
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    We’ll load **`gpt-oss-20b`**  using Unsloth's [linearized version](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/..#making-efficient-gpt-oss-fine-tuning-work) (as no other version will work).&#x20;
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    Now it's time to adjust your training hyperparameters. For a deeper dive into how, when, and what to tune, check out our [detailed hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
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    {% hint style="info" %} To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.
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    To avoid [overfitting](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide#avoiding-overfitting-and-underfitting), monitor your training loss and avoid setting these values too high.&#x20;
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    For this example, we will use the [`HuggingFaceH4/Multilingual-Thinking`](https://huggingface.co/datasets/HuggingFaceH4/Multilingual-Thinking). This dataset contains chain-of-thought reasoning examples derived from user questions translated
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    One unique feature of gpt-oss is its use of the [**OpenAI Harmony format**](https://github.com/openai/harmony)**,** which supports structured conversations, reasoning output, and tool calling. This format includes tags such as `<|start|>` ,
  • Network accessline 8269
    {% hint style="info" %} 🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
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    🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 8273
    Feel free to adapt the prompt and structure to suit your own dataset or use-case. For more guidance, refer to our [dataset guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide).
  • Network accessline 8276
    We've pre-selected training hyperparameters for optimal results. However, you can modify them based on your specific use case. Refer to our [hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparamet
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 8322
    [Credential-related source omitted]
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    {% hint style="info" %} We recommend downloading or incorporating elements from our Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks) into your local setup for easier use.
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    We recommend downloading or incorporating elements from our Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks) into your local setup for easier use.
  • Network accessline 8339
    Ensure your device is [Unsloth compatible](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements) and you can read our detailed [installation guide](https://docs.unsloth.ai/get-started/install-and-update).
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    [Credential-related source omitted]
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    One unique feature of gpt-oss is its use of the [**OpenAI Harmony format**](https://github.com/openai/harmony)**,** which supports structured conversations, reasoning output, and tool calling. This format includes tags such as `<|start|>` ,
  • Network accessline 8368
    {% hint style="info" %} 🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
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    🦥 Unsloth fixes the chat template to ensure it is correct. See this [tweet](https://x.com/danielhanchen/status/1953901104150065544) for technical details on our template fix.
  • Network accessline 8372
    Feel free to adapt the prompt and structure to suit your own dataset or use-case. For more guidance, refer to our [dataset guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide).
  • Network accessline 8379
    We've pre-selected training hyperparameters for optimal results. However, you can modify them based on your specific use case. Refer to our [hyperparameters guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparamet
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    This can zero out all `completion_mask` entries when many completions are truncated, making `n_mask_per_reward = 0` and causing KL to become NaN. [See](https://github.com/unslothai/unsloth-zoo/blob/e705f7cb50aa3470a0b6e36052c61b7486a39133/u
  • Network accessline 8632
    In our GitHub, we have a list of every chat template Unsloth uses including for Llama, Mistral, Phi-4 etc. So if you need any pointers on the formatting or use case, you can view them here: [github.com/unslothai/unsloth/blob/main/unsloth/ch
  • Network accessline 8636
    * [Conversational](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
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    * [ChatML](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)
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    * [Ollama](https://colab.research.google.com/drive/1WZDi7APtQ9VsvOrQSSC5DDtxq159j8iZ?usp=sharing)
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    * [Text Classification](https://github.com/timothelaborie/text_classification_scripts/blob/main/unsloth_classification.ipynb) by Timotheeee
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    * [Multiple Datasets](https://colab.research.google.com/drive/1njCCbE1YVal9xC83hjdo2hiGItpY_D6t?usp=sharing) by Flail
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    Or in the Titanic prediction task where you had to predict if a passenger died or survived in this Colab  notebook which includes CSV and Excel uploading: <https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS?usp=sharin
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    We’re excited to share that Unsloth Dynamic GGUFs shows how it's possible to quantize LLMs like [DeepSeek-V3.1](https://docs.unsloth.ai/models/deepseek-v3.1-how-to-run-locally) (671B) down to just **1-bit** or **3-bit**, and still be able t
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    Previously, [we demonstrated](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) how Unsloth Dynamic GGUFs outperform other quantization methods on 5-shot MMLU and KL Divergence. Now, we’re showcasing their performance on independent
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    **Why the** [**Aider Polyglot**](https://aider.chat/docs/leaderboards/) **benchmark?** Aider is one of the most comprehensive measures of how well LLMs can write, code, follow instructions, and apply changes without human intervention, maki
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    {% hint style="success" %} The **key advantage** of using the Unsloth package and models is our active role in ***fixing critical bugs*** in major models. We've collaborated directly with teams behind [Qwen3](https://www.reddit.com/r/LocalL
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    The **key advantage** of using the Unsloth package and models is our active role in ***fixing critical bugs*** in major models. We've collaborated directly with teams behind [Qwen3](https://www.reddit.com/r/LocalLLaMA/comments/1kaodxu/qwen3
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    In Nov 2024, our [4-bit Dynamic](https://unsloth.ai/blog/dynamic-4bit) Quants showcased how you could largely restore QLoRA fine-tuning & model accuracy by just <mark style="background-color:green;">**selectively quantizing layers**</mark>.
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    Our Dynamic GGUFs are even more effective when paired with our [imatrix calibration dataset](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs#whats-new-in-dynamic-v2.0), designed for chat and coding performance. All of this enabled 
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    [Credential-related source omitted]
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    We also showed dynamic benchmarks in <https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs> for Gemma 3 and Llama 4 Scout, showing how effective our methodology is:
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    Benchmark experiments were mainly conducted by [David Sluys](https://www.linkedin.com/in/david-sluys-231348208/) (neolithic5452 on [Aider Discord](https://discord.com/channels/1131200896827654144/1408293692074360914)), a trusted community c
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    See [here](https://huggingface.co/unsloth/DeepSeek-V3.1-GGUF?chat_template=default\&format=true) for our fixed chat template or [here](https://huggingface.co/unsloth/DeepSeek-V3.1/raw/main/chat_template.jinja) for a raw jinja file.
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    [Credential-related source omitted]
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    Head over to our [DeepSeek V3.1 guide](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms/deepseek-r1-how-to-run-locally/deepseek-r1-dynamic-1.58-bit) or to quickly get the dynamic 2bit version, do:
  • Network accessline 8925
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    * <U+200B>**DeepSeek-R1-Distill-Llama-8B** is a fine-tuned version of Llama-3.1-8B. DeepSeek utilized data generated by DeepSeek-R1, to fine-tune Llama-3.1-8B. This process, known as distillation (a subcategory of fine-tuning), injects the data in
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    With [Unsloth](https://github.com/unslothai/unsloth), you can fine-tune for free on Colab, Kaggle, or locally with just 3GB VRAM by using our [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks). By fine-tuning a pre-trained m
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    You may have heard that fine-tuning does not make a model learn new knowledge or RAG performs better than fine-tuning. That is **false**. Read more FAQ + misconceptions [here](https://docs.unsloth.ai/beginner-start-here/faq-+-is-fine-tuning
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    {% content-ref url="beginner-start-here/faq-+-is-fine-tuning-right-for-me" %} [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
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    [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
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    We recommend starting with **Instruct models**, as they allow direct fine-tuning using conversational chat templates (ChatML, ShareGPT etc.) and require less data compared to **Base models** (which uses Alpaca, Vicuna etc). Learn more about
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    * Model names ending in **`unsloth-bnb-4bit`** indicate they are [**Unsloth dynamic 4-bit**](https://unsloth.ai/blog/dynamic-4bit) **quants**. These models consume slightly more VRAM than standard BitsAndBytes 4-bit models but offer signifi
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    We recommend starting with QLoRA, as it is one of the most accessible and effective methods for training models. Our [dynamic 4-bit](https://unsloth.ai/blog/dynamic-4bit) quants, the accuracy loss for QLoRA compared to LoRA is now largely r
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    You can also do [Text-to-speech (TTS)](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning), [reasoning (GRPO)](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide), [vision](https://docs.unsloth.ai/basics/vision-f
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    {% content-ref url="fine-tuning-llms-guide/what-model-should-i-use" %} [what-model-should-i-use](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/what-model-should-i-use)
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    [what-model-should-i-use](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/what-model-should-i-use)
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    * You will need to create a dataset usually with 2 columns - question and answer. The quality and amount will largely reflect the end result of your fine-tune so it's imperative to get this part right. * You can [synthetically generate data
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    * You can [synthetically generate data](https://docs.unsloth.ai/get-started/datasets-guide#synthetic-data-generation) and structure your dataset (into QA pairs) using ChatGPT or local LLMs.
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    * You can also use our new Synthetic Dataset notebook which automatically parses documents (PDFs, videos etc.), generates QA pairs and auto cleans data using local models like Llama 3.2. [Access the notebook here.](https://colab.research.go
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    {% content-ref url="fine-tuning-llms-guide/datasets-guide" %} [datasets-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide)
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    [datasets-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/datasets-guide)
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    For most of our notebook examples, we utilize the [Alpaca dataset](https://docs.unsloth.ai/basics/tutorial-how-to-finetune-llama-3-and-use-in-ollama#id-6.-alpaca-dataset) however other notebooks like Vision will use different datasets which
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    Learn how to choose the right [hyperparameters](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide) using best practices from research and real-world experiments - and understand how each one affects your 
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    {% content-ref url="fine-tuning-llms-guide/lora-hyperparameters-guide" %} [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
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    [lora-hyperparameters-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/lora-hyperparameters-guide)
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    We would recommend beginners to utilise our pre-made [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks) first as it's the easiest way to get started with guided steps. However, if installing locally is a must, you can instal
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    {% content-ref url="beginner-start-here/unsloth-requirements" %} [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
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    [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
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    {% content-ref url="install-and-update" %} [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
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    [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
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    [Credential-related source omitted]
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    For testing, you can also  take 20% of your training data and use that for testing. If you already used all of the training data, then you have to manually evaluate it. You can also use automatic eval tools like EleutherAI’s [lm-evaluation-
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    {% content-ref url="../basics/running-and-saving-models" %} [running-and-saving-models](https://docs.unsloth.ai/basics/running-and-saving-models)
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    [running-and-saving-models](https://docs.unsloth.ai/basics/running-and-saving-models)
  • Network accessline 9184
    We can now save the finetuned model as a small 100MB file called a LoRA adapter like below. You can instead push to the Hugging Face hub as well if you want to upload your model! Remember to get a Hugging Face token via: <https://huggingfac
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    To learn more about fine-tuning tips and tricks, head over to our blogs which provide tremendous and educational value: <https://unsloth.ai/blog/>
  • Network accessline 9196
    If you need any help on fine-tuning, you can also join our Discord server [here](https://discord.gg/unsloth) or [Reddit r/unsloth](https://www.reddit.com/r/unsloth/). Thanks for reading and hopefully this was helpful!
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    # Fix up addCriterion issues         # See https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl#qwen-2.5-vl-vision-rl-issues-and-quirks
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    # See https://docs.unsloth.ai/new/vision-reinforcement-learning-vlm-rl#qwen-2.5-vl-vision-rl-issues-and-quirks
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    [reinforcement-learning-rl-guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide "mention")
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    ***Authors:** A huge thank you to* [*Keith*](https://www.linkedin.com/in/keith-truongcao-7bb84a23b/) *and* [*Datta*](https://www.linkedin.com/in/datta0/) *for contributing to this article!*
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    This was [reported](https://github.com/QwenLM/Qwen2.5-VL/issues/759) as well in Qwen2.5-VL-7B-Instruct output unexpected results "addCriterion". In fact we see this as well! We tried both non Unsloth, bfloat16 and float16 machines and other
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    This update in addition adds GSPO ([Group Sequence Policy Optimization](https://arxiv.org/abs/2507.18071)) which is a variant of GRPO made by the Qwen team at Alibaba. They noticed that GRPO implicitly results in importance weights for each
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    [Credential-related source omitted]
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    See our guide below for the complete process on how to save to [Ollama](https://github.com/ollama/ollama):
  • Network accessline 9373
    {% content-ref url="../../get-started/fine-tuning-llms-guide/tutorial-how-to-finetune-llama-3-and-use-in-ollama" %} [tutorial-how-to-finetune-llama-3-and-use-in-ollama](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/tutorial-how
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    [tutorial-how-to-finetune-llama-3-and-use-in-ollama](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide/tutorial-how-to-finetune-llama-3-and-use-in-ollama)
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    You can save the finetuned model as a small 100MB file called a LoRA adapter like below. You can instead push to the Hugging Face hub as well if you want to upload your model! Remember to get a Hugging Face token via: <https://huggingface.c
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    [Credential-related source omitted]
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    Head over to <https://github.com/ggerganov/llama.cpp> to learn more about GGUF. We also have some manual instructions of how to export to GGUF if you want here: <https://github.com/unslothai/unsloth/wiki#manually-saving-to-gguf>
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    * It might also be because your inference engine adds an unnecessary "start of sequence" token (or the lack of thereof on the contrary) so ensure you check both hypotheses! * <mark style="background-color:green;">**Use our conversational no
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    * <mark style="background-color:green;">**Use our conversational notebooks to force the chat template - this will fix most issues.**</mark>   * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/
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    * Qwen-3 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(14B\)-Reasoning-Conversational.ipynb)
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    * Gemma-3 4B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\).ipynb)
  • Network accessline 9437
    * Llama-3.2 3B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_\(1B_and_3B\)-Conversational.ipynb)
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    * Phi-4 14B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Phi_4-Conversational.ipynb)
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    * Mistral v0.3 7B Conversational notebook [**Open in Colab**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Mistral_v0.3_\(7B\)-Conversational.ipynb)
  • Network accessline 9440
    * **More notebooks in our** [**notebooks docs**](https://docs.unsloth.ai/get-started/unsloth-notebooks)
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    {% hint style="success" %} [**Sept 10, 2025 update:**](https://docs.unsloth.ai/new/unsloth-dynamic-ggufs-on-aider-polyglot) You asked for tougher benchmarks, so we’re showcasing Aider Polyglot results! Our Dynamic 3-bit DeepSeek V3.1 GGUF s
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    [**Sept 10, 2025 update:**](https://docs.unsloth.ai/new/unsloth-dynamic-ggufs-on-aider-polyglot) You asked for tougher benchmarks, so we’re showcasing Aider Polyglot results! Our Dynamic 3-bit DeepSeek V3.1 GGUF scores **75.6%**, surpassing
  • Network accessline 9466
    The **key advantage** of using the Unsloth package and models is our active role in ***fixing critical bugs*** in major models. We've collaborated directly with teams behind [Qwen3](https://www.reddit.com/r/LocalLLaMA/comments/1kaodxu/qwen3
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    | **Qwen3:** [0.6B](https://huggingface.co/unsloth/Qwen3-0.6B-GGUF) • [1.7B](https://huggingface.co/unsloth/Qwen3-1.7B-GGUF) • [4B](https://huggingface.co/unsloth/Qwen3-4B-GGUF) • [8B](https://huggingface.co/unsloth/Qwen3-8B-GGUF) • [14B](h
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    | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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    | **DeepSeek:** [R1-0528](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms/deepseek-r1-0528-how-to-run-locally#model-uploads) • [V3-0324](https://huggingface.co/unsloth/DeepSeek-V3-0324-GGUF-UD) • [R1-Distill-Llama](ht
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    | **Gemma 3:** [4B](https://huggingface.co/unsloth/gemma-3-4b-it-GGUF) • [12B](https://huggingface.co/unsloth/gemma-3-12b-it-GGUF) • [27B](https://huggingface.co/unsloth/gemma-3-27b-it-GGUF) • [QAT](https://huggingface.co/unsloth/gemma-3-12
  • Network accessline 9494
    [Accuracy is Not All You Need](https://arxiv.org/pdf/2407.09141) showcases how pruning layers, even by selecting unnecessary ones still yields vast differences in terms of "flips". A "flip" is defined as answers changing from incorrect to c
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    Most frameworks report perplexity and KL Divergence using a test set of Wikipedia articles. However, we noticed using the calibration dataset which is also Wikipedia related causes quants to overfit, and attain lower perplexity scores. We u
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    * Llama 3.1 (8B) Instruct has a MMLU 5 shot accuracy of 67.8% using a naive MMLU implementation. We find however Llama **tokenizes "A" and "\_A" (A with a space in front) as different token ids**. If we consider both spaced and non spaced t
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    * Interestingly Llama 3 as per Eleuther AI's [LLM Harness](https://github.com/EleutherAI/lm-evaluation-harness/blob/main/lm_eval/tasks/llama3/instruct/mmlu/_continuation_template_yaml) also appends <mark style="background-color:purple;">**"
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    * There are many other subtle issues, and so to benchmark everything in a controlled environment, we designed our own MMLU implementation from scratch by investigating [github.com/hendrycks/test](https://github.com/hendrycks/test) directly,
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    1. Q4\_0 GGUF - Quantizes all layers to Q4\_0 via the formula `w = q * block_scale` with each block having 32 weights. See [llama.cpp wiki ](https://github.com/ggml-org/llama.cpp/wiki/Tensor-Encoding-Schemes)for more details.
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    2. int4 version - presumably [TorchAO int4 style](https://github.com/pytorch/ao/blob/main/torchao/quantization/README.md)?
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    * Llama 4 Scout changed the RoPE Scaling configuration in their official repo. We helped resolve issues in llama.cpp to enable this [change here](https://github.com/ggml-org/llama.cpp/pull/12889)
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    * Llama 4's QK Norm's epsilon for both Scout and Maverick should be from the config file - this means using 1e-05 and not 1e-06. We helped resolve these in [llama.cpp](https://github.com/ggml-org/llama.cpp/pull/12889) and [transformers](htt
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    * The Llama 4 team and vLLM also independently fixed an issue with QK Norm being shared across all heads (should not be so) [here](https://github.com/vllm-project/vllm/pull/16311). MMLU Pro increased from 68.58% to 71.53% accuracy.
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    * [Wolfram Ravenwolf](https://x.com/WolframRvnwlf/status/1909735579564331016) showcased how our GGUFs via llama.cpp attain much higher accuracy than third party inference providers - this was most likely a combination of the issues explaine
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    [Credential-related source omitted]
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    A huge thank you to Rohan Pandey for his [Flex Attention implementation](https://x.com/khoomeik/status/1955693558914310608), which directly inspired the development of Unsloth's Flex Attention implementation.
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    OpenAI leveraged **Attention Sinks** from the Efficient Streaming Language Models with Attention Sinks [paper](https://arxiv.org/abs/2309.17453) which shows that you can use a small sliding window, except you must add a global attention on 
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    The paper also shows that the [Attention Is Off By One method](https://www.evanmiller.org/attention-is-off-by-one.html) does partially work, except one must also add a few extra sink tokens to get lower perplexities. **The paper shows that 
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    Flex Attention <https://pytorch.org/blog/flexattention/> is extremely powerful as it provides the practitioner 2 customization routes for the attention mechanism - a **score modifier (f)** and a **masking function (M)**.
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    By using some visualization utilities from [Flex Attention's Github repo](https://github.com/meta-pytorch/attention-gym), we can visualize this. Assume the sequence length was 16, and a sliding window of 5. On the left is the last sink colu
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    **Interesting finding**: The official Flex Attention sliding window implementations considers the window size as the number of last tokens **PLUS ONE** as it includes the current token. The HuggingFace and GPT OSS implementations strictly o
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    We also confirmed through OpenAI's official GPT-OSS implementation on whether we attend to the last N or N+1 tokens here: <https://github.com/openai/gpt-oss/blob/main/gpt_oss/torch/model.py>
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    To run inference on the merged model, you can use vLLM and Llama.cpp among others. OpenAI recommends these [inference settings](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/..#recommended-settings) for both models: `tempe
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    We [recently collaborated with Hugging Face](https://github.com/huggingface/transformers/pull/40197) to resolve inference issues by using OpenAI’s kernels and ensuring that `swiglu_limit = 7.0` is correctly applied during MXFP4 inference.
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    OpenAI's sink token implementation is [provided here](https://github.com/openai/gpt-oss/blob/main/gpt_oss/torch/model.py). We provide it below:
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    The HuggingFace transformers implementation is [provided here](https://github.com/huggingface/transformers/blob/main/src/transformers/models/gpt_oss/modeling_gpt_oss.py). We also provide it below:
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    * Use `USER_PASSWORD` for sudo operations inside container
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    {% columns %} {% column %} With Unsloth and TorchAO’s QAT support, you can also fine-tune a model in Unsloth and seamlessly export it to [ExecuTorch](https://github.com/pytorch/executorch) (PyTorch’s solution for on-device inference) and de
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    With Unsloth and TorchAO’s QAT support, you can also fine-tune a model in Unsloth and seamlessly export it to [ExecuTorch](https://github.com/pytorch/executorch) (PyTorch’s solution for on-device inference) and deploy it directly on mobile.
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    Then **try QAT with our free** [**Qwen3 (4B) notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)_Instruct-QAT.ipynb)
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    DeepSeek developed [GRPO](https://unsloth.ai/blog/grpo) (Group Relative Policy Optimization) to train their R1 reasoning models.
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    These instructions are for our pre-made Google Colab [notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks). If you are installing Unsloth locally, you can also copy our notebooks inside your favorite code editor. We'll be using
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    | [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) **-** GSPO | [**Qwen2.5-VL**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2_5_7B_VL_
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    | [**Qwen3 (4B)**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_\(4B\)-GRPO.ipynb) - Advanced     | [**DeepSeek-R1-0528-Qwen3-8B**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb
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    If you're using our Colab notebook, click **Runtime > Run all**. We'd highly recommend you checking out our [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide) before getting started.
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    If installing locally, ensure you have the correct [requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements) and use `pip install unsloth` on Linux or follow our [Windows install ](https://docs.unsloth.ai/
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    [Credential-related source omitted]
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    Before we get started, it is recommended to learn more about GRPO, reward functions and how they work. Read more about them including [tips & tricks](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/..#basics-tips)[ here]
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    We have pre-selected optimal settings for the best results for you already and you can change the model to whichever you want listed in our [supported models](https://docs.unsloth.ai/get-started/all-our-models). Would not recommend changing
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    {% hint style="success" %} For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    For **advanced GRPO** documentation on batching, generation and training parameters, [read our guide!](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/advanced-rl-documentation)
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    [Credential-related source omitted]
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    We have pre-selected OpenAI's [GSM8K](https://huggingface.co/datasets/openai/gsm8k) dataset which contains grade school math problems but you could change it to your own or any public one on Hugging Face. You can read more about [datasets h
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    {% hint style="success" %} **NEW!** Qwen3 got an update in July 2025. Run & fine-tune the latest model: [**Qwen-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507)
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    **NEW!** Qwen3 got an update in July 2025. Run & fine-tune the latest model: [**Qwen-2507**](https://docs.unsloth.ai/models/qwen3-how-to-run-and-fine-tune/qwen3-2507)
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    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run & fine-tune quantized Qwen LLMs with minimal accuracy loss.
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    [Unsloth](https://github.com/unslothai/unsloth) also now supports fine-tuning and [Reinforcement Learning (RL)](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) of Qwen3 and Qwen3 MOE models — 2x faster, with 70% less VR
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    | Dynamic 2.0 GGUF (to run)                                                                                                                                                                                                                     
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    | <ul><li><a href="https://huggingface.co/unsloth/Qwen3-0.6B-GGUF">0.6B</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-1.7B-GGUF">1.7B</a></li><li><a href="https://huggingface.co/unsloth/Qwen3-4B-GGUF">4B</a></li><li><a href="htt
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    Qwen3 models come with built-in "thinking mode" to boost reasoning and improve response quality - similar to how [QwQ-32B](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms/qwq-32b-how-to-run-effectively) worked. Instru
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    ## Go to https://docs.unsloth.ai for advanced tips like
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    **URL:** llms-txt#go-to-https://docs.unsloth.ai-for-advanced-tips-like
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    We're introducing GSPO which is a variant of [GRPO](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide/..#from-rlhf-ppo-to-grpo-and-rlvr) made by the Qwen team at Alibaba. They noticed the observation that when GRPO takes i
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    * Use our free GSPO notebooks for: [**gpt-oss-20b**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) and [**Qwen2.5-VL**](https://colab.research.google.com/github/unslothai/notebooks/blo
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    With [Unsloth](https://github.com/unslothai/unsloth), you can fine-tune TTS models 1.5x faster with 50% less memory than other implementations with Flash Attention 2. This support includes Sesame CSM, Orpheus, and models supported by transf
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    We've uploaded TTS models (original and quantized variants) to our [Hugging Face page](https://huggingface.co/collections/unsloth/text-to-speech-tts-models-68007ab12522e96be1e02155).
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    | [Sesame-CSM (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Sesame_CSM_\(1B\)-TTS.ipynb) | [Orpheus-TTS (3B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Orpheus_\(3B\)-TTS.ipy
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    | [Spark-TTS (0.5B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Spark_TTS_\(0_5B\).ipynb)   | [Llasa-TTS (1B)](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llasa_TTS_\(1B\).ipynb) 
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    At minimum, a TTS fine-tuning dataset consists of **audio clips and their corresponding transcripts** (text). Let’s use the [*Elise* dataset](https://huggingface.co/datasets/MrDragonFox/Elise) which is \~3 hour single-speaker English speech
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    * [`MrDragonFox/Elise`](https://huggingface.co/datasets/MrDragonFox/Elise) – an augmented version with **emotion tags** (e.g. \<sigh>, \<laughs>) embedded in the transcripts. These tags in angle brackets indicate expressions (laughter, sigh
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    * [`Jinsaryko/Elise`](https://huggingface.co/datasets/Jinsaryko/Elise) – base version with transcripts without special tags.
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    You can now run **Grok 2** (aka Grok 2.5), the 270B parameter model by xAI. Full precision requires **539GB**, while the Unsloth Dynamic 3-bit version shrinks size down to just **118GB** (a 75% reduction). GGUF: [Grok-2-GGUF](https://huggin
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    The **3-bit Q3\_K\_XL** model runs on a single **128GB Mac** or **24GB VRAM + 128GB RAM**, achieving **5+ tokens/s** inference. Thanks to the llama.cpp team and community for [supporting Grok 2](https://github.com/ggml-org/llama.cpp/pull/15
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    All uploads use Unsloth [Dynamic 2.0](https://docs.unsloth.ai/basics/unsloth-dynamic-2.0-ggufs) for SOTA 5-shot MMLU and KL Divergence performance, meaning you can run quantized Grok LLMs with minimal accuracy loss.
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    {% stepper %} {% step %} Install the specific `llama.cpp` PR for Grok 2 on [GitHub here](https://github.com/ggml-org/llama.cpp/pull/15539). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if
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    Install the specific `llama.cpp` PR for Grok 2 on [GitHub here](https://github.com/ggml-org/llama.cpp/pull/15539). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or 
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp cd llama.cpp && git fetch origin pull/15539/head:MASTER && git checkout MASTER && cd .. cmake llama.cpp -B llama.cpp/build \
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    See <https://docs.sglang.ai/get_started/install.html> for more details
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    <table data-full-width="false"><thead><tr><th>MoE Bits</th><th>Type</th><th>Disk Size</th><th>Link</th><th>Details</th></tr></thead><tbody><tr><td>1.78bit</td><td>IQ1_S</td><td>33.8GB</td><td><a href="https://huggingface.co/unsloth/Llama-4-
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    | MoE Bits | Type      | Disk Size | HF Link                                                                                             | | -------- | --------- | --------- | ----------------------------------------------------------------
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    | -------- | --------- | --------- | --------------------------------------------------------------------------------------------------- | | 1.78bit  | IQ1\_S    | 122GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-
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    | 1.78bit  | IQ1\_S    | 122GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-IQ1_S)   |
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    | 1.93bit  | IQ1\_M    | 128GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-IQ1_M)   |
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    | 2.42-bit | IQ2\_XXS  | 140GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-IQ2_XXS) |
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    | 2.71-bit | Q2\_K\_XL | 151B      | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-Q2_K_XL) |
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    | 3.5-bit  | Q3\_K\_XL | 193GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-Q3_K_XL) |
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    | 4.5-bit  | Q4\_K\_XL | 243GB     | [Link](https://huggingface.co/unsloth/Llama-4-Maverick-17B-128E-Instruct-GGUF/tree/main/UD-Q4_K_XL) |
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    * A BOS token of `<|begin_of_text|>` is auto added during tokenization (do NOT add it manually!)&#x20; * According to <https://www.llama.com/docs/model-cards-and-prompt-formats/llama4_omni/>, there is an <mark style="background-color:yellow
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    * According to <https://www.llama.com/docs/model-cards-and-prompt-formats/llama4_omni/>, there is an <mark style="background-color:yellow;">**suggested optional system prompt**</mark>, which is listed below:
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    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
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    2. Download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose Q4\_K\_M, or other quantized versions (like BF16 full precision). More versions at: <https://huggingface.co/unsloth/Llama-4-Scout-17B-16
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    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    git clone https://github.com/ggml-org/llama.cpp
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    Unsloth supports fine-tuning of DeepSeek-OCR. Since the default model isn’t fine-tunable, we added changes from the [Stranger Vision HF](https://huggingface.co/strangervisionhf) team, to then enable fine-tuning. As usual, Unsloth trains Dee
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    * DeepSeek-OCR: [Fine-tuning only notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\).ipynb)
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    * DeepSeek-OCR: [Fine-tuning + Evaluation notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Deepseek_OCR_\(3B\)-Eval.ipynb) (A100)
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    You can now train OpenAI [gpt-oss](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune) with RL and GRPO via [Unsloth](https://github.com/unslothai/unsloth). Unsloth now offers the <mark style="background-color:$success;">**fast
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    Since reinforcement learning (RL) on gpt-oss isn't yet vLLM compatible, we had to rewrite the inference code from Transformers code to deliver 3x faster inference for gpt-oss at \~21 tokens/s. For BF16, Unsloth also achieves the fastest inf
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    * **Free notebook:** [**gpt-oss-20b GRPO Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb)\
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    Unsloth is the only framework to support 4-bit RL for gpt-oss. All performance gains are due to Unsloth's unique [weight sharing](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide#what-unsloth-offers-for-rl), [Flex Attenti
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    {% hint style="warning" %} Reminder: <mark style="background-color:$info;">**Flash Attention 3 (FA3) is**</mark> [<mark style="background-color:$info;">**unsuitable for gpt-oss**</mark>](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and
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    Reminder: <mark style="background-color:$info;">**Flash Attention 3 (FA3) is**</mark> [<mark style="background-color:$info;">**unsuitable for gpt-oss**</mark>](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/long-context-gpt
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    Inference is crucial in RL training, since we need it to generate candidate solutions before maximizing some reward function ([see here](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) for a more detailed explanation). 
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    vLLM does not support RL for gpt-oss since it lacks BF16 training and LoRA support for gpt-oss. Without Unsloth, only training via full precision BF16 works, making <mark style="background-color:$warning;">memory use</mark> <mark style="bac
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    We had to change our implementation for attention sinks as [described here](https://docs.unsloth.ai/models/gpt-oss-how-to-run-and-fine-tune/long-context-gpt-oss-training) to allow generation to work with left padding. We had to get the logs
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    The harder part is batch generation. Sequences differ in length, so padding complicates mask creation. Flex Attention had a lot of [challenges](https://github.com/meta-pytorch/attention-gym/issues/15#issuecomment-2284148665) and dynamic mas
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    > *Quote from* [*https://github.com/meta-pytorch/attention-gym/issues/15#issuecomment-2284148665*](https://github.com/meta-pytorch/attention-gym/issues/15#issuecomment-2284148665)
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    It's the reason models learn to modify unit tests to pass coding challenges, and these are critical blockers for real world deployment. Some other good examples are from [Wikipedia](https://en.wikipedia.org/wiki/Reward_hacking).
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    <div align="center"><figure><img src="https://i.pinimg.com/originals/55/e0/1b/55e01b94a9c5546b61b59ae300811c83.gif" alt="" width="188"><figcaption></figcaption></figure></div>
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    In our [free gpt-oss RL notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) we explore how to counter reward hacking in a code generation setting and showcase tangible solutions to
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    LLMs often struggle with tasks that involve complex environments. However, by applying [reinforcement learning](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) (RL) and designing a custom [reward function](https://docs.
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    RL can be adapted for tasks such as auto kernel or strategy creation. This tutorial shows how to train **gpt-oss** with [**GRPO**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide#from-rlhf-ppo-to-grpo-and-rlvr) and Unslo
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    | [2048 notebook](https://colab.research.google.com/github/openai/gpt-oss/blob/main/examples/reinforcement-fine-tuning.ipynb) (Official OpenAI example) | [Kernel generation notebook](https://colab.research.google.com/github/unslothai/notebo
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    Unsloth now supports NVIDIA’s Blackwell architecture GPUs, including RTX 50-series GPUs (5060–5090), RTX PRO 6000, and GPUS such as B200, B40, GB100, GB102 and more! You can read the official [NVIDIA blogpost here](https://developer.nvidia.
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    Unsloth is now compatible with every NVIDIA GPU from 2018+ including the [DGX Spark](https://docs.unsloth.ai/basics/fine-tuning-llms-with-nvidia-dgx-spark-and-unsloth).
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    > **Our new** [**Docker image**](#docker) **supports Blackwell. Run the Docker image and start training!** [**Guide**](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth)
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    By the end of this tutorial, you will create a custom chatbot by **finetuning Llama-3** with [**Unsloth**](https://github.com/unslothai/unsloth) for free. It can run locally via [**Ollama**](https://github.com/ollama/ollama) on your PC, or 
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    **Unsloth** makes finetuning much easier, and can automatically export the finetuned model to **Ollama** with integrated automatic `Modelfile` creation! If you need help, you can join our Discord server: <https://discord.com/invite/unsloth>
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    {% hint style="warning" %} **If you’d like to copy or save the code, everything is available in our** [**Ollama Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)**. You c
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    **If you’d like to copy or save the code, everything is available in our** [**Ollama Colab notebook**](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb)**. You can use it directly there or
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    [Unsloth](https://github.com/unslothai/unsloth) makes finetuning LLMs like Llama-3, Mistral, Phi-3 and Gemma 2x faster, use 70% less memory, and with no degradation in accuracy! We will be using Google Colab which provides a free GPU during
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    * [Ollama Llama-3 Alpaca](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3_\(8B\)-Ollama.ipynb) (notebook which we will be using)
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    * [CSV/Excel Ollama Guide](https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS?usp=sharing)
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    [Ollama ](https://github.com/ollama/ollama)allows you to run language models from your own computer in a quick and simple way! It quietly launches a program which can run a language model like Llama-3 in the background. If you suddenly want
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    Options include `True`, `False` and `"unsloth"`. We suggest `"unsloth"` since we reduce memory usage by an extra 30% and support extremely long context finetunes.You can read up here: <https://unsloth.ai/blog/long-context> for more details.
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    You can access the GPT4 version of the Alpaca dataset here: <https://huggingface.co/datasets/vicgalle/alpaca-gpt4>. An older first version of the dataset is here: <https://github.com/tatsu-lab/stanford_alpaca>. Below shows some examples of 
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    To access the Titanic finetuning notebook or if you want to upload a CSV or Excel file, go here: <https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS?usp=sharing>
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    Or in the Titanic prediction task where you had to predict if a passenger died or survived in this Colab  notebook which includes CSV and Excel uploading: <https://colab.research.google.com/drive/1VYkncZMfGFkeCEgN2IzbZIKEDkyQuJAS?usp=sharin
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    We can now save the finetuned model as a small 100MB file called a LoRA adapter like below. You can instead push to the Hugging Face hub as well if you want to upload your model! Remember to get a Hugging Face token via <https://huggingface
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    Head over to <https://github.com/ggerganov/llama.cpp> to learn more about GGUF. We also have some manual instructions of how to export to GGUF if you want here: <https://github.com/unslothai/unsloth/wiki#manually-saving-to-gguf>
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 11328
    If you want to learn how to do reward modelling, do continued pretraining, export to vLLM or GGUF, do text completion, or learn more about finetuning tips and tricks, head over to our [Github](https://github.com/unslothai/unsloth#-finetune-
  • Network accessline 11330
    If you need any help on finetuning, you can also join our Discord server [here](https://discord.gg/unsloth). If you want help with Ollama, you can also join their server [here](https://discord.gg/ollama).
  • Network accessline 11334
    To access our Alpaca dataset example click [here](https://colab.research.google.com/drive/1WZDi7APtQ9VsvOrQSSC5DDtxq159j8iZ?usp=sharing), and our CSV / Excel finetuning guide is [here](https://colab.research.google.com/drive/1VYkncZMfGFkeCE
  • Network accessline 11369
    ## https://github.com/ggerganov/llama.cpp/blob/master/examples/quantize/quantize.cpp#L19
  • Network accessline 11371
    **URL:** llms-txt#https://github.com/ggerganov/llama.cpp/blob/master/examples/quantize/quantize.cpp#l19
  • Network accessline 11396
    Google releases Gemma 3 with a new 270M model and the previous 1B, 4B, 12B, and 27B sizes. The 270M and 1B are text-only, while larger models handle both text and vision. We provide GGUFs, and a guide of how to run it effectively, and how t
  • Network accessline 11398
    {% hint style="success" %} **NEW Aug 14, 2025 Update:** Try our fine-tuning [Gemma 3 (270M) notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(270M\).ipynb) and [GGUFs to run](https://huggingface.co
  • Network accessline 11399
    **NEW Aug 14, 2025 Update:** Try our fine-tuning [Gemma 3 (270M) notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(270M\).ipynb) and [GGUFs to run](https://huggingface.co/collections/unsloth/gemma-
  • Network accessline 11401
    Also see our [Gemma 3n Guide](https://docs.unsloth.ai/models/gemma-3-how-to-run-and-fine-tune/gemma-3n-how-to-run-and-fine-tune).
  • Network accessline 11408
    * Fine-tune Gemma 3 (4B) with vision support using our [free Colab notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_\(4B\)-Vision.ipynb)
  • Network accessline 11417
    | GGUF                                                                                                                                                                                                                                          
  • Network accessline 11419
    | <ul><li><a href="https://huggingface.co/unsloth/gemma-3-270m-it-GGUF">270M</a> - new</li><li><a href="https://huggingface.co/unsloth/gemma-3-1b-it-GGUF">1B</a></li><li><a href="https://huggingface.co/unsloth/gemma-3-4b-it-GGUF">4B</a></li
  • Network accessline 11444
    To run the models on your phone, we recommend using any mobile app that can run GGUFs locally on edge devices like phones. After fine-tuning you can export it to GGUF then run it locally on your phone. Ensure your phone has enough RAM/power
  • Network accessline 11458
    1. Obtain the latest `llama.cpp` on [GitHub here](https://github.com/ggml-org/llama.cpp). You can follow the build instructions below as well. Change `-DGGML_CUDA=ON` to `-DGGML_CUDA=OFF` if you don't have a GPU or just want CPU inference.
  • Network accessline 11462
    3. **OR** download the model via (after installing `pip install huggingface_hub hf_transfer` ). You can choose Q4\_K\_M, or other quantized versions (like BF16 full precision). More versions at: <https://huggingface.co/unsloth/gemma-3-27b-i
  • Network accessline 11479
    apt-get update apt-get install pciutils -y curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
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    curl -fsSL https://ollama.com/install.sh | sh
  • Network accessline 11491
    apt-get update apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
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    apt-get install pciutils build-essential cmake curl libcurl4-openssl-dev -y
  • Network accessline 11493
    git clone https://github.com/ggerganov/llama.cpp
  • Network accessline 11514
    At [Unsloth](https://app.gitbook.com/o/HpyELzcNe0topgVLGCZY/s/xhOjnexMCB3dmuQFQ2Zq/), our mission is to make AI as accurate and accessible as possible. Train, run, evaluate and save gpt-oss, Llama, DeepSeek, TTS, Qwen, Mistral, Gemma LLMs 2
  • Network accessline 11518
    <a href="beginner-start-here" class="button primary">Get started</a> <a href="https://github.com/unslothai/unsloth" class="button secondary">Our GitHub</a>
  • Network accessline 11520
    [Credential-related source omitted]
  • Network accessline 11523
    {% column %} {% content-ref url="fine-tuning-llms-guide" %} [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide)
  • Network accessline 11524
    {% content-ref url="fine-tuning-llms-guide" %} [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide) {% endcontent-ref %}
  • Network accessline 11525
    [fine-tuning-llms-guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide)
  • Network accessline 11528
    {% content-ref url="unsloth-notebooks" %} [unsloth-notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks)
  • Network accessline 11529
    [unsloth-notebooks](https://docs.unsloth.ai/get-started/unsloth-notebooks)
  • Network accessline 11532
    {% column %} {% content-ref url="all-our-models" %} [all-our-models](https://docs.unsloth.ai/get-started/all-our-models)
  • Network accessline 11533
    {% content-ref url="all-our-models" %} [all-our-models](https://docs.unsloth.ai/get-started/all-our-models) {% endcontent-ref %}
  • Network accessline 11534
    [all-our-models](https://docs.unsloth.ai/get-started/all-our-models)
  • Network accessline 11537
    {% content-ref url="../models/tutorials-how-to-fine-tune-and-run-llms" %} [tutorials-how-to-fine-tune-and-run-llms](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms)
  • Network accessline 11538
    [tutorials-how-to-fine-tune-and-run-llms](https://docs.unsloth.ai/models/tutorials-how-to-fine-tune-and-run-llms)
  • Network accessline 11543
    [Credential-related source omitted]
  • Network accessline 11545
    * Unsloth streamlines model training locally and on Colab/Kaggle, covering loading, quantization, training, evaluation, saving, exporting, and integration with inference engines like Ollama, llama.cpp, and vLLM. * We directly collaborate wi
  • Network accessline 11546
    * We directly collaborate with teams behind [gpt-oss](https://docs.unsloth.ai/new/gpt-oss-how-to-run-and-fine-tune#unsloth-fixes-for-gpt-oss), [Qwen3](https://www.reddit.com/r/LocalLLaMA/comments/1kaodxu/qwen3_unsloth_dynamic_ggufs_128k_con
  • Network accessline 11547
    * Unsloth is the only training framework to support all model types:  [vision](https://docs.unsloth.ai/basics/vision-fine-tuning), [text-to-speech (TTS)](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning), BERT, [reinforcement l
  • Network accessline 11549
    * Supports **full-finetuning**, pretraining, 4-bit, 16-bit and **8-bit** training. * The most efficient RL library, using 80% less VRAM. Supports GRPO, GSPO etc. * Supports **all models**: [TTS,](https://docs.unsloth.ai/basics/text-to-speec
  • Network accessline 11550
    * The most efficient RL library, using 80% less VRAM. Supports GRPO, GSPO etc. * Supports **all models**: [TTS,](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning) multimodal, [BERT](https://docs.unsloth.ai/get-started/unsloth-n
  • Network accessline 11551
    * Supports **all models**: [TTS,](https://docs.unsloth.ai/basics/text-to-speech-tts-fine-tuning) multimodal, [BERT](https://docs.unsloth.ai/get-started/unsloth-notebooks#other-important-notebooks) and more. Any model that works in transform
  • Network accessline 11552
    * **0% loss in accuracy** - no approximation methods - all exact. * [MultiGPU](https://docs.unsloth.ai/basics/multi-gpu-training-with-unsloth) works already but a much better version is coming! * Unsloth supports Linux, Windows, Colab, Kagg
  • Network accessline 11553
    * [MultiGPU](https://docs.unsloth.ai/basics/multi-gpu-training-with-unsloth) works already but a much better version is coming!
  • Network accessline 11554
    * Unsloth supports Linux, Windows, Colab, Kaggle, **NVIDIA** and [**AMD**](https://docs.unsloth.ai/new/fine-tuning-llms-on-amd-gpus-with-unsloth) & **Intel**. See:
  • Network accessline 11556
    {% content-ref url="beginner-start-here/unsloth-requirements" %} [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
  • Network accessline 11557
    [unsloth-requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements)
  • Network accessline 11562
    Use our official **Docker image**: `unsloth/unsloth`. Read our [**Docker guide**](https://docs.unsloth.ai/get-started/install-and-update/docker)**.**
  • Network accessline 11564
    For Windows install instructions, see [here](https://docs.unsloth.ai/get-started/install-and-update/windows-installation).
  • Network accessline 11566
    {% content-ref url="install-and-update" %} [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
  • Network accessline 11567
    [install-and-update](https://docs.unsloth.ai/get-started/install-and-update)
  • Network accessline 11572
    [**Fine-tuning** an LLM](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide) customizes its behavior, enhances domain knowledge, and optimizes performance for specific tasks. By fine-tuning a pre-trained model (e.g. Llama-3.1-8B) on
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    [**Reinforcement Learning (RL)**](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) is where an "agent" learns to make decisions by interacting with an environment and receiving **feedback** in the form of **rewards** or 
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    {% content-ref url="beginner-start-here/faq-+-is-fine-tuning-right-for-me" %} [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
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    [faq-+-is-fine-tuning-right-for-me](https://docs.unsloth.ai/get-started/beginner-start-here/faq-+-is-fine-tuning-right-for-me)
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    {% content-ref url="reinforcement-learning-rl-guide" %} [reinforcement-learning-rl-guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide)
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    [reinforcement-learning-rl-guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide)
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    [Credential-related source omitted]
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    Local training can be complex due to dependency hell or breaking environments. Unsloth’s [Docker image](https://hub.docker.com/r/unsloth/unsloth) can bypass these issues. No setup is needed: pull and run the image and start training.
  • Network accessline 11708
    * **Unsloth official Docker image:** [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth)
  • Network accessline 11712
    Unsloth’s Docker image is stable, up-to-date and works in [supported setups](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements#system-requirements) like Windows.
  • Network accessline 11728
    Install Docker via [Linux](https://docs.docker.com/engine/install/) or [Desktop](https://docs.docker.com/desktop/) (other).\
  • Network accessline 11729
    Then install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html#installation):
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    </strong>sudo apt-get update &#x26;&#x26; sudo apt-get install -y \
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    [Credential-related source omitted]
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    [**`unsloth/unsloth`**](https://hub.docker.com/r/unsloth/unsloth) is Unsloth's only Docker image. For [Blackwell](https://docs.unsloth.ai/basics/fine-tuning-llms-with-blackwell-rtx-50-series-and-unsloth) and 50-series GPUs, use this same im
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    [Credential-related source omitted]
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    Go to [http://localhost:8888](http://localhost:8888/) and open Unsloth.
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 11762
    If you're new, follow our step-by-step [Fine-tuning Guide](https://docs.unsloth.ai/get-started/fine-tuning-llms-guide), [RL Guide](https://docs.unsloth.ai/get-started/reinforcement-learning-rl-guide) or just save/copy any of our premade [no
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    It's the reason models learn to modify unit tests to pass coding challenges, and these are critical blockers for real world deployment. Some other good examples are from [Wikipedia](https://en.wikipedia.org/wiki/Reward_hacking).
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    <div align="center"><figure><img src="https://i.pinimg.com/originals/55/e0/1b/55e01b94a9c5546b61b59ae300811c83.gif" alt="" width="188"><figcaption></figcaption></figure></div>
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    **Can you counter reward hacking? Yes!** In our [free gpt-oss RL notebook](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/gpt-oss-\(20B\)-GRPO.ipynb) we explore how to counter reward hacking in a code generation s
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    Unsloth works on Linux, Windows, NVIDIA, AMD, Google Colab and more. See our [system requirements](https://docs.unsloth.ai/get-started/beginner-start-here/unsloth-requirements).
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    See <https://docs.vllm.ai/en/stable/getting_started/installation> for more details
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    [Credential-related source omitted]
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    {% hint style="warning" %} Do **NOT** use this if you have [Conda](https://docs.unsloth.ai/get-started/install-and-update/conda-install).
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    Do **NOT** use this if you have [Conda](https://docs.unsloth.ai/get-started/install-and-update/conda-install).
  • Network accessline 12029
    pip uninstall unsloth unsloth_zoo -y && pip install --no-deps git+https://github.com/unslothai/unsloth_zoo.git && pip install --no-deps git+https://github.com/unslothai/unsloth.git
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    pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth.git
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    pip install --upgrade --force-reinstall --no-cache-dir --no-deps git+https://github.com/unslothai/unsloth-zoo.git
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    pip install --upgrade pip pip install "unsloth[cu121-torch240] @ git+https://github.com/unslothai/unsloth.git"
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    pip install "unsloth[cu121-torch240] @ git+https://github.com/unslothai/unsloth.git"

optional-skills/payments/mpp-agent/SKILL.md

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    Wraps the Machine Payments Protocol (MPP, https://mpp.dev) clients so Hermes can pay for per-request API access against servers that respond with `HTTP 402 Payment Required`.
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    - A funded wallet (Tempo / Privy / AgentCash) OR an `mppx` account - For Tempo / Privy / AgentCash: follow their respective onboarding skills:   - `https://tempo.xyz/SKILL.md`
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    - For Tempo / Privy / AgentCash: follow their respective onboarding skills:   - `https://tempo.xyz/SKILL.md`   - `https://agents.privy.io/skill.md`
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    - `https://tempo.xyz/SKILL.md`
  • Network accessline 44
    - `https://agents.privy.io/skill.md`
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    - `https://agentcash.dev/skill.md`
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    curl -i <url>
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    The Tempo Wallet skill at https://tempo.xyz/SKILL.md is the canonical reference; fetch it with `web_extract` and follow it. Headline:
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    Spend controls and service discovery live in the wallet UI at https://wallet.tempo.xyz.
  • Network accessline 114
    - **Zero-amount challenges.** Some MPP endpoints charge `$0.00` and just want a proof credential. These work without a funded wallet. Don't refuse them as "broken." - **Wallet keys never enter agent context.** All four clients store keys un
  • Network accessline 116
    - **Server-side MPP is a different skill.** If the user wants to ADD 402 to their own API, this skill is wrong — point them at https://mpp.dev/quickstart/server and the `mppx/nextjs` / `mppx/hono` / `mppx/express` / `mppx/elysia` middleware

optional-skills/payments/stripe-link-cli/SKILL.md

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    Wraps [@stripe/link-cli](https://github.com/stripe/link-cli) so Hermes can complete purchases on the user's behalf using one-time-use virtual cards or Shared Payment Tokens (SPT). Every spend is gated by an in-app approval in the Link mobil
  • Network accessline 38
    - A Link account at https://app.link.com — created/linked during first `link-cli` auth
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    - At least one payment method — added during first run at https://app.link.com/wallet
  • Dangerous shell operationline 156
    rm -f ~/.hermes/cache/scratch/link-card.json

optional-skills/payments/stripe-projects/SKILL.md

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    Wraps the [Stripe Projects](https://projects.dev) CLI plugin so Hermes can provision SaaS services (Neon, Twilio, Vercel, etc.), generate and sync credentials into the user's `.env`, and manage billing across providers from one place.
  • Network accessline 33
    - Stripe CLI installed (Homebrew on macOS, package manager on Linux, or download from https://docs.stripe.com/stripe-cli/install)
  • Network accessline 46
    Linux: follow the platform-specific install at https://docs.stripe.com/stripe-cli/install, then:

optional-skills/productivity/airtable/SKILL.md

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    [Credential-related source omitted]
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    hermes:     tags: [Airtable, Productivity, Database, API]     homepage: https://airtable.com/developers/web/api/introduction
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    tags: [Airtable, Productivity, Database, API]     homepage: https://airtable.com/developers/web/api/introduction ---
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    homepage: https://airtable.com/developers/web/api/introduction
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    1. Create a **Personal Access Token (PAT)** at https://airtable.com/create/tokens (tokens start with `pat...`).
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    Base curl pattern:
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    | Date | `"Due": "2026-04-01"` | | DateTime (UTC) | `"At": "2026-04-01T14:30:00.000Z"` | | URL / Email / Phone | `"Link": "https://…"` |
  • Network accessline 63
    | DateTime (UTC) | `"At": "2026-04-01T14:30:00.000Z"` | | URL / Email / Phone | `"Link": "https://…"` | | Attachment | `"Files": [{"url": "https://…"}]` (Airtable fetches + rehosts) |
  • Network accessline 64
    | URL / Email / Phone | `"Link": "https://…"` |
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    | Attachment | `"Files": [{"url": "https://…"}]` (Airtable fetches + rehosts) |
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    FORMULA="{Status}='Todo'" ENC=$(python -c 'import sys, urllib.parse; print(urllib.parse.quote(sys.argv[1], safe=""))' "$FORMULA") curl -s "https://api.airtable.com/v0/$BASE_ID/$TABLE?filterByFormula=$ENC&maxRecords=20" \
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    OFFSET="" while :; do   URL="https://api.airtable.com/v0/$BASE_ID/$TABLE?pageSize=100"
  • Network accessline 194
    while :; do   URL="https://api.airtable.com/v0/$BASE_ID/$TABLE?pageSize=100"   [ -n "$OFFSET" ] && URL="$URL&offset=$OFFSET"
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    [Credential-related source omitted]
  • Network accessline 206
    [Credential-related source omitted]
  • Access to secretsline 206
    [Credential-related source omitted]
  • Network accessline 217
    - **PATCH vs PUT.** `PATCH` merges supplied fields into the record. `PUT` replaces the record entirely and clears any field you didn't include. Default to `PATCH`. - **Single-select options must exist.** Writing `"Status": "Shipping"` when 
  • Network accessline 218
    - **Single-select options must exist.** Writing `"Status": "Shipping"` when `Shipping` isn't in the field's option list errors with `INVALID_MULTIPLE_CHOICE_OPTIONS` unless you pass `"typecast": true` (which auto-creates the option). - **Pe
  • Network accessline 219
    - **Per-base token scoping.** A `403` on one base while another works means the token's Access list doesn't include that base — not a scope or auth issue. Send the user to https://airtable.com/create/tokens to grant it.
  • Access to secretsline 225
    [Credential-related source omitted]

optional-skills/productivity/box/SKILL.md

  • Network accessline 12
    tags: [Box, Productivity, Cloud Storage, Collaboration, Metadata, Content Extraction, CLI, SDK]     related_skills: [google-workspace]     homepage: https://developer.box.com/
  • Network accessline 13
    related_skills: [google-workspace]     homepage: https://developer.box.com/ ---
  • Network accessline 14
    homepage: https://developer.box.com/
  • Network accessline 109
    - File: `https://app.box.com/file/<FILE_ID>`
  • Network accessline 110
    - Folder: `https://app.box.com/folder/<FOLDER_ID>`
  • Network accessline 111
    - Hub: `https://app.box.com/hubs/<HUB_ID>`

optional-skills/productivity/box/references/content-workflows.md

  • Network accessline 73
    - File: `https://app.box.com/file/<FILE_ID>`
  • Network accessline 74
    - Folder: `https://app.box.com/folder/<FOLDER_ID>`

optional-skills/productivity/box/references/hubs.md

  • Network accessline 19
    For a known Hub URL or ID, run `box hubs:get <HUB_ID>` directly even if the list is empty. Report each Hub as `https://app.box.com/hubs/<HUB_ID>`. Check `is_ai_enabled` before asking a question, then make one bounded Hub Ask request to veri
  • Network accessline 72
    - [Box Hubs API overview](https://developer.box.com/guides/hubs-api/)
  • Network accessline 73
    - [Box Free Developer Plan](https://developer.box.com/guides/getting-started/free-developer-plan/)
  • Network accessline 74
    - [Box AI Ask API](https://developer.box.com/reference/post-ai-ask/)
  • Network accessline 75
    - [Ask questions about a Hub](https://developer.box.com/guides/box-ai/ai-tutorials/ask-questions/)
  • Network accessline 76
    - [Box AI for Hubs](https://support.box.com/hc/en-us/articles/29347206309395-Box-AI-for-Hubs)
  • Network accessline 77
    - [Box Hubs limits](https://support.box.com/hc/en-us/articles/28323495455123-Box-Hubs-Known-Issues-and-Limitations)

optional-skills/productivity/box/references/oauth-setup.md

  • Network accessline 58
    Use this path only when the requested operation needs a scope unavailable through the official CLI app, such as **Manage webhooks**. Open the [Box Developer Console](https://app.box.com/developers/console), create or select a Platform App w
  • Network accessline 60
    Use the same topology decision as the official app. For a same-host browser, add `http://localhost:3000/callback` as an OAuth redirect URI in the app's **Configuration** tab, save it, then run:
  • Network accessline 66
    If port 3000 cannot bind, choose another free local port, add the exact `http://localhost:<PORT>/callback` URI to the Platform App, save the configuration, stop the failed login process, and retry with the matching `--port`. Unlike the offi
  • Network accessline 80
    - [Box CLI quick start](https://developer.box.com/guides/cli/quick-start/)
  • Network accessline 81
    - [Box CLI headless login](https://developer.box.com/guides/cli/headless-login/)
  • Network accessline 82
    - [OAuth 2.0 guide](https://developer.box.com/guides/authentication/oauth2/)
  • Network accessline 83
    - [Box OAuth scopes](https://developer.box.com/guides/api-calls/permissions-and-errors/scopes/)

optional-skills/productivity/box/references/rest-api.md

  • Network accessline 35
    - [Box API reference](https://developer.box.com/reference/)
  • Network accessline 36
    - [Box Notes API: create a note from Markdown](https://developer.box.com/guides/box-notes/convert-markdown/)
  • Network accessline 37
    - [OAuth 2.0](https://developer.box.com/guides/authentication/oauth2/)

optional-skills/productivity/box/references/sdk-development.md

  • Network accessline 19
    - [Python SDK Gen](https://github.com/box/box-python-sdk-gen)
  • Network accessline 20
    - [The `box` npm package](https://developer.box.com/guides/tooling/box-npm-package)
  • Network accessline 21
    - [Existing Node SDK projects](https://github.com/box/box-node-sdk)
  • Network accessline 22
    - [Other Box SDKs](https://developer.box.com/guides/tooling/sdks/)

optional-skills/productivity/box/references/search-and-ai.md

  • Network accessline 141
    - [Box AI API](https://developer.box.com/ai/box-ai-api/)
  • Network accessline 142
    - [Structured metadata extraction](https://developer.box.com/guides/box-ai/ai-tutorials/extract-metadata-structured/)
  • Network accessline 143
    - [Metadata template scopes](https://developer.box.com/guides/metadata/scopes/)
  • Network accessline 144
    - [Global metadata query limitation](https://developer.box.com/guides/metadata/queries/limitations/)
  • Network accessline 145
    - [Box AI trust](https://www.box.com/ai/trust/)
  • Network accessline 146
    - [AI units and plan access](https://support.box.com/hc/en-us/articles/45612941554835-Expanded-AI-API-Access-and-AI-Units-for-Business-Business-Plus-and-Enterprise-Plans)
  • Network accessline 147
    - [Metadata template permissions](https://developer.box.com/guides/metadata/templates/create/)

optional-skills/productivity/box/references/webhooks-and-events.md

  • Network accessline 9
    box webhooks:create folder <FOLDER_ID> \   --triggers FILE.UPLOADED,FILE.VERSION_UPLOADED \   --address https://example.com/box/webhook --json
  • Network accessline 11
    --address https://example.com/box/webhook --json
  • Network accessline 41
    - [Box webhooks](https://developer.box.com/guides/webhooks/)
  • Network accessline 42
    - [Events resource](https://developer.box.com/reference/resources/event/)
  • Network accessline 43
    - [User Events](https://developer.box.com/guides/events/user-events/for-user/)

optional-skills/productivity/canvas/SKILL.md

  • Access to secretsline 9
    [Credential-related source omitted]
  • Network accessline 32
    [Credential-related source omitted]
  • Network accessline 33
    CANVAS_BASE_URL=https://yourschool.instructure.com
  • Network accessline 73
    [Credential-related source omitted]
  • Network accessline 74
    [Credential-related source omitted]
  • Access to secretsline 74
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 78
    [Credential-related source omitted]
  • Access to secretsline 78
    [Credential-related source omitted]

optional-skills/productivity/canvas/scripts/canvas_api.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 19
    [Credential-related source omitted]
  • Access to secretsline 20
    [Credential-related source omitted]
  • Access to secretsline 32
    [Credential-related source omitted]
  • Network accessline 49
    results = []     while url and len(results) < max_items:         resp = requests.get(url, headers=_headers(), params=params, timeout=30)
  • Network accessline 50
    while url and len(results) < max_items:         resp = requests.get(url, headers=_headers(), params=params, timeout=30)         resp.raise_for_status()
  • Network accessline 51
    resp = requests.get(url, headers=_headers(), params=params, timeout=30)

optional-skills/productivity/here-now/SKILL.md

  • Network accessline 11
    hermes:     tags: [here.now, herenow, publish, deploy, hosting, static-site, web, share, URL, drive, storage]     homepage: https://here.now
  • Network accessline 12
    tags: [here.now, herenow, publish, deploy, hosting, static-site, web, share, URL, drive, storage]     homepage: https://here.now     requires_toolsets: [terminal]
  • Network accessline 13
    homepage: https://here.now
  • Network accessline 30
    → **https://here.now/docs**
  • Access to secretsline 59
    [Credential-related source omitted]
  • Access to secretsline 60
    [Credential-related source omitted]
  • Network accessline 73
    Outputs the live URL (e.g. `https://bright-canvas-a7k2.here.now/`).
  • Access to secretsline 117
    [Credential-related source omitted]
  • Access to secretsline 123
    [Credential-related source omitted]
  • Network accessline 138
    curl -sS https://here.now/api/auth/agent/request-code \
  • Network accessline 147
    curl -sS https://here.now/api/auth/agent/verify-code \
  • Access to secretsline 155
    [Credential-related source omitted]
  • Network accessline 164
    "publishes": {     "bright-canvas-a7k2": {       "siteUrl": "https://bright-canvas-a7k2.here.now/",
  • Network accessline 165
    "bright-canvas-a7k2": {       "siteUrl": "https://bright-canvas-a7k2.here.now/",       "claimToken": "abc123",
  • Network accessline 166
    "siteUrl": "https://bright-canvas-a7k2.here.now/",
  • Network accessline 167
    [Credential-related source omitted]
  • Network accessline 168
    [Credential-related source omitted]
  • Network accessline 184
    - Read and follow `publish_result.*` lines from script stderr to determine auth mode. - When `publish_result.auth_mode=authenticated`: tell the user the site is **permanent** and saved to their account. No claim URL is needed. - When `publi
  • Network accessline 185
    - When `publish_result.auth_mode=authenticated`: tell the user the site is **permanent** and saved to their account. No claim URL is needed. - When `publish_result.auth_mode=anonymous`: tell the user the site **expires in 24 hours**. Share 
  • Network accessline 186
    - When `publish_result.auth_mode=anonymous`: tell the user the site **expires in 24 hours**. Share the claim URL (if `publish_result.claim_url` is non-empty and starts with `https://`) so they can keep it permanently. Warn that claim tokens
  • Network accessline 203
    | `--ttl {seconds}`      | Set expiry (authenticated only)               | | `--client {name}`      | Agent name for attribution (e.g. `hermes`)    | | `--base-url {url}`     | API base URL (default: `https://here.now`)    |
  • Network accessline 204
    | `--client {name}`      | Agent name for attribution (e.g. `hermes`)    | | `--base-url {url}`     | API base URL (default: `https://here.now`)    | | `--allow-nonherenow-base-url` | Allow sending auth to non-default `--base-url` |
  • Network accessline 205
    | `--base-url {url}`     | API base URL (default: `https://here.now`)    |
  • Network accessline 215
    → **https://here.now/docs**
  • Network accessline 217
    Full docs: https://here.now/docs

optional-skills/productivity/here-now/scripts/drive.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 4
    BASE_URL="https://here.now"
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 18
    --base-url <url>       API base (default: https://here.now)
  • Dangerous shell operationline 30
    rm <drive> <path> [--recursive --confirm <path>]
  • Network accessline 53
    for cmd in curl file; do
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 77
    BASE_URL="${BASE_URL%/}" if [[ "$BASE_URL" != "https://here.now" && "$ALLOW_NON_HERENOW_BASE_URL" -ne 1 ]]; then
  • Network accessline 78
    if [[ "$BASE_URL" != "https://here.now" && "$ALLOW_NON_HERENOW_BASE_URL" -ne 1 ]]; then
  • Access to secretsline 79
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 126
    local code   if [[ -n "$body" ]]; then     code=$(curl -sS -o "$tmp" -w "%{http_code}" -X "$method" "$url" "${auth_header[@]}" -H "content-type: application/json" -d "$body")
  • Network accessline 127
    if [[ -n "$body" ]]; then     code=$(curl -sS -o "$tmp" -w "%{http_code}" -X "$method" "$url" "${auth_header[@]}" -H "content-type: application/json" -d "$body")   else
  • Network accessline 128
    code=$(curl -sS -o "$tmp" -w "%{http_code}" -X "$method" "$url" "${auth_header[@]}" -H "content-type: application/json" -d "$body")
  • Network accessline 129
    else     code=$(curl -sS -o "$tmp" -w "%{http_code}" -X "$method" "$url" "${auth_header[@]}")   fi
  • Network accessline 130
    code=$(curl -sS -o "$tmp" -w "%{http_code}" -X "$method" "$url" "${auth_header[@]}")
  • Dangerous shell operationline 136
    rm -f "$tmp"
  • Dangerous shell operationline 140
    rm -f "$tmp"
  • Access to secretsline 165
    [Credential-related source omitted]
  • Network accessline 219
    upload_url=$(echo "$upload" | "$JQ_BIN" -r '.uploadUrl')   upload_id=$(echo "$upload" | "$JQ_BIN" -r '.uploadId')   http_code=$(curl -sS -o /dev/null -w "%{http_code}" -X PUT "$upload_url" -H "Content-Type: $ct" --data-binary "@$local_file"
  • Network accessline 220
    upload_id=$(echo "$upload" | "$JQ_BIN" -r '.uploadId')   http_code=$(curl -sS -o /dev/null -w "%{http_code}" -X PUT "$upload_url" -H "Content-Type: $ct" --data-binary "@$local_file")   [[ "$http_code" -ge 200 && "$http_code" -lt 300 ]] || d
  • Network accessline 221
    http_code=$(curl -sS -o /dev/null -w "%{http_code}" -X PUT "$upload_url" -H "Content-Type: $ct" --data-binary "@$local_file")
  • Access to secretsline 244
    [Credential-related source omitted]
  • Network accessline 253
    [[ $# -eq 2 ]] || die "usage: drive.sh cat <drive> <path>"     id=$(resolve_drive "$1")     curl -fsS "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$2")" "${auth_header[@]}"
  • Network accessline 254
    id=$(resolve_drive "$1")     curl -fsS "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$2")" "${auth_header[@]}"     ;;
  • Network accessline 255
    curl -fsS "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$2")" "${auth_header[@]}"
  • Network accessline 328
    else           mkdir -p "$(dirname "$out")"           curl -fsS "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$p")" "${auth_header[@]}" -o "$out"
  • Network accessline 329
    mkdir -p "$(dirname "$out")"           curl -fsS "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$p")" "${auth_header[@]}" -o "$out"         fi
  • Network accessline 330
    curl -fsS "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$p")" "${auth_header[@]}" -o "$out"
  • Dangerous shell operationline 340
    [[ $# -ge 2 ]] || die "usage: drive.sh rm <drive> <path> [--recursive --confirm <path>]"
  • Dangerous shell operationline 347
    *) die "unexpected rm argument: $1" ;;
  • Network accessline 355
    meta=$(file_meta "$id" "$path")       etag=$(echo "$meta" | "$JQ_BIN" -r '.etag')       curl -fsS -X DELETE "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$path")" "${auth_header[@]}" -H "If-Match: $etag" | "$JQ_BIN" .
  • Network accessline 356
    etag=$(echo "$meta" | "$JQ_BIN" -r '.etag')       curl -fsS -X DELETE "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$path")" "${auth_header[@]}" -H "If-Match: $etag" | "$JQ_BIN" .     fi
  • Network accessline 357
    curl -fsS -X DELETE "$BASE_URL/api/v1/drives/$id/files/$(urlenc_path "$path")" "${auth_header[@]}" -H "If-Match: $etag" | "$JQ_BIN" .

optional-skills/productivity/here-now/scripts/publish.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 4
    BASE_URL="https://here.now"
  • Access to secretsline 6
    [Credential-related source omitted]
  • Access to secretsline 8
    [Credential-related source omitted]
  • Access to secretsline 29
    [Credential-related source omitted]
  • Network accessline 38
    --from-drive <drv_...>  Publish a Drive snapshot instead of local files   --version <dv_...>      Drive version for --from-drive (default: current head)   --base-url <url>        API base (default: https://here.now)
  • Network accessline 39
    --version <dv_...>      Drive version for --from-drive (default: current head)   --base-url <url>        API base (default: https://here.now)   --allow-nonherenow-base-url
  • Network accessline 40
    --base-url <url>        API base (default: https://here.now)   --allow-nonherenow-base-url                          Allow auth requests to non-default API base URL
  • Network accessline 61
    for cmd in curl file; do
  • Access to secretsline 67
    [Credential-related source omitted]
  • Access to secretsline 94
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 109
    [Credential-related source omitted]
  • Access to secretsline 114
    [Credential-related source omitted]
  • Network accessline 136
    echo "publishing from Drive..." >&2   RESPONSE=$(curl -sS -X POST "$BASE_URL/api/v1/publish/from-drive" \
  • Network accessline 137
    [Credential-related source omitted]
  • Access to secretsline 137
    [Credential-related source omitted]
  • Access to secretsline 138
    [Credential-related source omitted]
  • Access to secretsline 264
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 292
    [Credential-related source omitted]
  • Network accessline 308
    echo "creating publish ($file_count files)..." >&2 RESPONSE=$(curl -sS -X "$METHOD" "$URL" \
  • Network accessline 309
    RESPONSE=$(curl -sS -X "$METHOD" "$URL" \
  • Network accessline 359
    http_code=$(curl -sS -o /dev/null -w "%{http_code}" -X PUT "$upload_url" \
  • Network accessline 372
    echo "finalizing..." >&2 FIN_RESPONSE=$(curl -sS -X POST "$FINALIZE_URL" \
  • Network accessline 373
    FIN_RESPONSE=$(curl -sS -X POST "$FINALIZE_URL" \
  • Access to secretsline 398
    [Credential-related source omitted]
  • Network accessline 415
    SAFE_CLAIM_URL="" if [[ -n "$RESPONSE_CLAIM_URL" && "$RESPONSE_CLAIM_URL" == https://* ]]; then
  • Network accessline 416
    if [[ -n "$RESPONSE_CLAIM_URL" && "$RESPONSE_CLAIM_URL" == https://* ]]; then
  • Access to secretsline 442
    [Credential-related source omitted]

optional-skills/productivity/memento-flashcards/SKILL.md

  • Network accessline 195
    **Step 1:** Extract the video ID from the URL (e.g. `dQw4w9WgXcQ` from `https://www.youtube.com/watch?v=dQw4w9WgXcQ`).
  • Network accessline 214
    Follow the isolated development-home setup in [Package Management](https://hermes-agent.nousresearch.com/docs/reference/package-management#developer-workflow)
  • Network accessline 215
    [Package Management](https://hermes-agent.nousresearch.com/docs/reference/package-management#developer-workflow)

optional-skills/productivity/memento-flashcards/scripts/memento_cards.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 18
    [Credential-related source omitted]

optional-skills/productivity/memento-flashcards/scripts/youtube_quiz.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 42
    api = youtube_transcript_api.YouTubeTranscriptApi()     try:         raw = api.fetch(video_id, languages=languages)
  • Network accessline 43
    try:         raw = api.fetch(video_id, languages=languages)     except Exception as exc:
  • Network accessline 44
    raw = api.fetch(video_id, languages=languages)

optional-skills/productivity/notion/SKILL.md

  • Access to secretsline 9
    [Credential-related source omitted]
  • Network accessline 11
    hermes:     tags: [Notion, Productivity, Notes, Database, API, CLI, Workers]     homepage: https://developers.notion.com
  • Network accessline 12
    tags: [Notion, Productivity, Notes, Database, API, CLI, Workers]     homepage: https://developers.notion.com ---
  • Network accessline 13
    homepage: https://developers.notion.com
  • Network accessline 27
    1. Create an integration at https://notion.so/my-integrations
  • Access to secretsline 31
    [Credential-related source omitted]
  • Network accessline 38
    # Recommended curl -fsSL https://ntn.dev | bash
  • Dangerous shell operationline 39
    curl -fsSL https://ntn.dev | bash
  • Network accessline 39
    curl -fsSL https://ntn.dev | bash
  • Access to secretsline 49
    [Credential-related source omitted]
  • Access to secretsline 50
    [Credential-related source omitted]
  • Network accessline 60
    else   # fall back to curl fi
  • Network accessline 140
    ntn files create < photo.png ntn files create --external-url https://example.com/photo.png
  • Network accessline 141
    ntn files create --external-url https://example.com/photo.png
  • Access to secretsline 150
    [Credential-related source omitted]
  • Access to secretsline 151
    [Credential-related source omitted]
  • Network accessline 154
    ## Path B — HTTP + curl (cross-platform, default on Windows)
  • Network accessline 159
    [Credential-related source omitted]
  • Access to secretsline 159
    [Credential-related source omitted]
  • Access to secretsline 160
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 293
    # 1. Create upload curl -s -X POST "https://api.notion.com/v1/file_uploads" \
  • Network accessline 294
    [Credential-related source omitted]
  • Access to secretsline 294
    [Credential-related source omitted]
  • Access to secretsline 295
    [Credential-related source omitted]
  • Network accessline 300
    # 2. PUT bytes to the upload_url returned above curl -s -X PUT "{upload_url}" --data-binary @photo.png
  • Network accessline 301
    curl -s -X PUT "{upload_url}" --data-binary @photo.png
  • Network accessline 315
    - **Checkbox:** `{"checkbox": true}` - **Number:** `{"number": 42}` - **URL:** `{"url": "https://..."}`
  • Network accessline 316
    - **Number:** `{"number": 42}` - **URL:** `{"url": "https://..."}` - **Email:** `{"email": "user@example.com"}`
  • Network accessline 317
    - **URL:** `{"url": "https://..."}`
  • Access to secretsline 389
    [Credential-related source omitted]
  • Network accessline 395
    When asked to build a Worker, scaffold with `ntn workers new`, write the code in `src/index.ts`, set any secrets with `ntn workers env set`, and deploy. Notion's docs at https://developers.notion.com/workers cover the full API surface.
  • Network accessline 423
    - Color: `<span color="blue">text</span>` or block-level `{color="blue"}` on the first line - Math: inline `$x^2$`, block `$$ ... $$` - Citations: `[^https://example.com]`
  • Network accessline 425
    - Citations: `[^https://example.com]`
  • Network accessline 433
    | Task | mac / Linux | Windows | |---|---|---| | Read/write pages, search, query databases | `ntn api ...` | curl |
  • Network accessline 434
    |---|---|---| | Read/write pages, search, query databases | `ntn api ...` | curl | | Read a page for an agent to summarize | `ntn api v1/pages/{id}/markdown` | curl `/markdown` endpoint |
  • Network accessline 435
    | Read/write pages, search, query databases | `ntn api ...` | curl |
  • Network accessline 436
    | Read a page for an agent to summarize | `ntn api v1/pages/{id}/markdown` | curl `/markdown` endpoint |
  • Network accessline 437
    | Upload a file | `ntn files create < file` | 3-step HTTP flow | | One-off API exploration | `ntn api ...` | curl | | Build a sync / webhook / agent tool hosted by Notion | `ntn workers ...` | WSL2 + `ntn workers ...` |
  • Network accessline 438
    | One-off API exploration | `ntn api ...` | curl |
  • Network accessline 445
    - The API cannot set database **view** filters — that's UI-only. - Use `"is_inline": true` when creating data sources to embed them in a page. - Always pass `-s` to curl to suppress progress bars (cleaner agent output).
  • Network accessline 446
    - Use `"is_inline": true` when creating data sources to embed them in a page. - Always pass `-s` to curl to suppress progress bars (cleaner agent output). - Pipe JSON through `jq` when reading: `... | jq '.results[0].properties'`.
  • Network accessline 447
    - Always pass `-s` to curl to suppress progress bars (cleaner agent output).

optional-skills/productivity/notion/references/block-types.md

  • Network accessline 78
    {"type": "bookmark", "bookmark": {"url": "https://example.com"}}
  • Network accessline 84
    {"type": "image", "image": {"type": "external", "external": {"url": "https://example.com/photo.png"}}}
  • Network accessline 112
    *Contributed by [@dogiladeveloper](https://github.com/dogiladeveloper)*

optional-skills/productivity/property-listings/SKILL.md

  • Network accessline 57
    | `catches` | Array of risks or questions to verify before a tour. | | `images` | Direct HTTPS photo URLs in listing order; the first is the hero. | | `links` | Array of `{ "label": "Source", "url": "https://..." }` detail-page links, not s
  • Network accessline 59
    | `links` | Array of `{ "label": "Source", "url": "https://..." }` detail-page links, not search-result URLs. |
  • Network accessline 80
    "facts": ["12-month lease", "Covered parking"],   "catches": ["Verify pet policy and total move-in fees"],   "images": ["https://example.com/property/front.jpg", "https://example.com/property/kitchen.jpg"],
  • Network accessline 81
    "catches": ["Verify pet policy and total move-in fees"],   "images": ["https://example.com/property/front.jpg", "https://example.com/property/kitchen.jpg"],   "links": [{"label": "Listing details", "url": "https://example.com/property/12"}]
  • Network accessline 82
    "images": ["https://example.com/property/front.jpg", "https://example.com/property/kitchen.jpg"],
  • Network accessline 83
    "links": [{"label": "Listing details", "url": "https://example.com/property/12"}]

optional-skills/productivity/shop/SKILL.md

  • Network accessline 12
    tags: [Shopping, E-commerce, Shop, Products, Orders, Returns, Checkout, Reorder]     related_skills: [shopify, maps]     homepage: https://shop.app
  • Network accessline 13
    related_skills: [shopify, maps]     homepage: https://shop.app     upstream: https://shop.app/SKILL.md
  • Network accessline 14
    homepage: https://shop.app
  • Network accessline 15
    upstream: https://shop.app/SKILL.md
  • Dangerous shell operationline 28
    To upgrade: `pnpm add --global @shopify/shop-cli@latest` (or `npm install --global @shopify/shop-cli@latest`). Uninstall: `pnpm rm -g @shopify/shop-cli` (or `npm rm -g @shopify/shop-cli`).
  • Network accessline 115
    Example: > Of course! If you sign in to Shop, I can get shipping rates to your home and past order details. [Sign in here](https://accounts.shop.app/oauth/agents/device?user_code=OIJAOSIJ) and tell me when you're done. Or just say 'continue
  • Network accessline 116
    > Of course! If you sign in to Shop, I can get shipping rates to your home and past order details. [Sign in here](https://accounts.shop.app/oauth/agents/device?user_code=OIJAOSIJ) and tell me when you're done. Or just say 'continue' and I'l
  • Network accessline 151
    [View Product](https://store.com/product)
  • Network accessline 193
    > Tip: if you'd like, you can give me a budget to spend on your behalf so I can complete checkouts without asking each time. Set a spending limit here: https://shop.app/account/settings/connections. Or, tell me *not interested*, and I'll re
  • Access to secretsline 209
    [Credential-related source omitted]

optional-skills/productivity/shop/references/catalog-mcp.md

  • Network accessline 8
    POST https://catalog.shopify.com/api/ucp/mcp
  • Access to secretsline 17
    [Credential-related source omitted]
  • Network accessline 20
    POST https://shop.app/oauth/token
  • Access to secretsline 24
    [Credential-related source omitted]
  • Access to secretsline 25
    [Credential-related source omitted]
  • Access to secretsline 26
    [Credential-related source omitted]
  • Access to secretsline 31
    [Credential-related source omitted]
  • Network accessline 43
    "meta": {         "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"
  • Network accessline 44
    "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"         }
  • Network accessline 45
    "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"
  • Network accessline 66
    "meta": {         "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"
  • Network accessline 67
    "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"         }
  • Network accessline 68
    "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"
  • Network accessline 180
    "meta": {         "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"
  • Network accessline 181
    "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"         }
  • Network accessline 182
    "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"
  • Network accessline 209
    "meta": {         "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"
  • Network accessline 210
    "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"         }
  • Network accessline 211
    "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/valid-with-capabilities.json"

optional-skills/productivity/shop/references/direct-api.md

  • Access to secretsline 9
    [Credential-related source omitted]
  • Network accessline 21
    POST https://accounts.shop.app/oauth/device
  • Network accessline 32
    POST https://accounts.shop.app/oauth/token
  • Access to secretsline 40
    [Credential-related source omitted]
  • Network accessline 45
    GET https://accounts.shop.app/oauth/userinfo
  • Access to secretsline 46
    [Credential-related source omitted]
  • Network accessline 52
    POST https://accounts.shop.app/oauth/token
  • Network accessline 65
    POST https://shop.app/oauth/token
  • Network accessline 69
    [Credential-related source omitted]
  • Access to secretsline 69
    [Credential-related source omitted]
  • Network accessline 70
    [Credential-related source omitted]
  • Access to secretsline 70
    [Credential-related source omitted]
  • Network accessline 71
    resource=https://{shop_domain}/
  • Network accessline 80
    POST https://{shop_domain}/api/ucp/mcp
  • Network accessline 91
    GET https://api.ipify.org?format=json
  • Network accessline 106
    "meta": {         "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"
  • Network accessline 107
    "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"         }
  • Network accessline 108
    "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"
  • Network accessline 174
    "meta": {         "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"
  • Network accessline 175
    "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"         },
  • Network accessline 176
    "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"
  • Network accessline 214
    "meta": {         "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"
  • Network accessline 215
    "ucp-agent": {           "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"         }
  • Network accessline 216
    "profile": "https://shopify.dev/ucp/agent-profiles/2026-04-08/personal_agent.json"
  • Network accessline 230
    When the buyer enables purchasing without approval in [Shop → Settings → Connections](https://shop.app/account/settings/connections), Shop issues a budgeted wallet payment token. Read the remaining budget:
  • Network accessline 233
    GET https://shop.app/pay/agents/payment_tokens
  • Access to secretsline 234
    [Credential-related source omitted]
  • Network accessline 264
    GET https://shop.app/agents/orderSearch?type=recent
  • Network accessline 265
    GET https://shop.app/agents/orderSearch?type=tracking&query=<string>&dateFrom=YYYY-MM-DD&dateTo=YYYY-MM-DD
  • Access to secretsline 266
    [Credential-related source omitted]

optional-skills/productivity/shop/references/legal.md

  • Network accessline 3
    This skill is for **individual end-users** only. Building commercial services, resale platforms, aggregators, or anything that provides third parties with programmatic access to Shopify's catalog, checkout, delegated payments, or aggregated

optional-skills/productivity/shop/references/safety.md

  • Access to secretsline 21
    [Credential-related source omitted]

optional-skills/productivity/shopify/SKILL.md

  • Access to secretsline 9
    [Credential-related source omitted]
  • Access to secretsline 12
    [Credential-related source omitted]
  • Network accessline 23
    tags: [Shopify, E-commerce, Commerce, API, GraphQL]     related_skills: [airtable, xurl]     homepage: https://shopify.dev/docs/api/admin-graphql
  • Network accessline 24
    related_skills: [airtable, xurl]     homepage: https://shopify.dev/docs/api/admin-graphql ---
  • Network accessline 25
    homepage: https://shopify.dev/docs/api/admin-graphql
  • Access to secretsline 41
    [Credential-related source omitted]
  • Network accessline 59
    - **Endpoint:** `https://$SHOPIFY_STORE_DOMAIN/admin/api/$SHOPIFY_API_VERSION/graphql.json`
  • Access to secretsline 60
    [Credential-related source omitted]
  • Network accessline 66
    Base curl pattern (reusable):
  • Network accessline 70
    local query="$1"   local variables="${2:-{}}"   curl -sS -X POST \
  • Network accessline 71
    local variables="${2:-{}}"   curl -sS -X POST \     "https://${SHOPIFY_STORE_DOMAIN}/admin/api/${SHOPIFY_API_VERSION:-2026-01}/graphql.json" \
  • Network accessline 72
    [Credential-related source omitted]
  • Access to secretsline 72
    [Credential-related source omitted]
  • Network accessline 73
    "https://${SHOPIFY_STORE_DOMAIN}/admin/api/${SHOPIFY_API_VERSION:-2026-01}/graphql.json" \
  • Network accessline 75
    [Credential-related source omitted]
  • Access to secretsline 75
    [Credential-related source omitted]
  • Network accessline 76
    --data "$(jq -nc --arg q "$query" --argjson v "$variables" '{query: $q, variables: $v}')"
  • Network accessline 107
    Query syntax supports `title:`, `sku:`, `vendor:`, `product_type:`, `status:active`, `tag:`, `created_at:>2025-01-01`. Full grammar: https://shopify.dev/docs/api/usage/search-syntax
  • Network accessline 300
    - **Endpoint:** `https://$SHOPIFY_STORE_DOMAIN/api/$SHOPIFY_API_VERSION/graphql.json`
  • Network accessline 305
    [Credential-related source omitted]
  • Access to secretsline 305
    [Credential-related source omitted]
  • Network accessline 306
    "https://${SHOPIFY_STORE_DOMAIN}/api/${SHOPIFY_API_VERSION:-2026-01}/graphql.json" \
  • Access to secretsline 308
    [Credential-related source omitted]
  • Network accessline 331
    # 3. When status=COMPLETED, download the JSONL file curl -sS "$URL" > products.jsonl
  • Network accessline 332
    curl -sS "$URL" > products.jsonl
  • Network accessline 346
    userErrors { field message }   } }' '{"topic":"ORDERS_CREATE","sub":{"callbackUrl":"https://example.com/webhook","format":"JSON"}}'
  • Network accessline 348
    }' '{"topic":"ORDERS_CREATE","sub":{"callbackUrl":"https://example.com/webhook","format":"JSON"}}'
  • Access to secretsline 354
    [Credential-related source omitted]

optional-skills/productivity/siyuan/SKILL.md

  • Network accessline 10
    tags: [SiYuan, Notes, Knowledge Base, PKM, API]     related_skills: [obsidian, notion]     homepage: https://github.com/siyuan-note/siyuan
  • Network accessline 11
    related_skills: [obsidian, notion]     homepage: https://github.com/siyuan-note/siyuan prerequisites:
  • Network accessline 12
    homepage: https://github.com/siyuan-note/siyuan
  • Access to secretsline 14
    [Credential-related source omitted]
  • Network accessline 19
    help: "Settings > About in SiYuan desktop app"   - name: SIYUAN_URL     prompt: SiYuan instance URL (default http://127.0.0.1:6806)
  • Network accessline 20
    - name: SIYUAN_URL     prompt: SiYuan instance URL (default http://127.0.0.1:6806)     required_for: remote instances
  • Network accessline 21
    prompt: SiYuan instance URL (default http://127.0.0.1:6806)
  • Network accessline 27
    Use the [SiYuan](https://github.com/siyuan-note/siyuan) kernel API via curl to search, read, create, update, and delete blocks and documents in a self-hosted knowledge base. No extra tools needed -- just curl and an API token.
  • Network accessline 35
    [Credential-related source omitted]
  • Network accessline 36
    SIYUAN_URL=http://127.0.0.1:6806
  • Network accessline 38
    `SIYUAN_URL` defaults to `http://127.0.0.1:6806` if not set.
  • Network accessline 45
    [Credential-related source omitted]
  • Access to secretsline 45
    [Credential-related source omitted]
  • Access to secretsline 46
    [Credential-related source omitted]
  • Network accessline 86
    [Credential-related source omitted]
  • Access to secretsline 86
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 97
    [Credential-related source omitted]
  • Access to secretsline 97
    [Credential-related source omitted]
  • Access to secretsline 98
    [Credential-related source omitted]
  • Network accessline 110
    [Credential-related source omitted]
  • Access to secretsline 110
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 119
    [Credential-related source omitted]
  • Access to secretsline 119
    [Credential-related source omitted]
  • Access to secretsline 120
    [Credential-related source omitted]
  • Network accessline 128
    [Credential-related source omitted]
  • Access to secretsline 128
    [Credential-related source omitted]
  • Access to secretsline 129
    [Credential-related source omitted]
  • Network accessline 137
    [Credential-related source omitted]
  • Access to secretsline 137
    [Credential-related source omitted]
  • Access to secretsline 138
    [Credential-related source omitted]
  • Network accessline 146
    [Credential-related source omitted]
  • Access to secretsline 146
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 155
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 156
    [Credential-related source omitted]
  • Network accessline 164
    [Credential-related source omitted]
  • Access to secretsline 164
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 186
    [Credential-related source omitted]
  • Access to secretsline 187
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 201
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 214
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 252
    [Credential-related source omitted]
  • Access to secretsline 252
    [Credential-related source omitted]
  • Access to secretsline 253
    [Credential-related source omitted]
  • Network accessline 295
    [Credential-related source omitted]
  • Network accessline 297
    SIYUAN_URL: "http://127.0.0.1:6806"

optional-skills/productivity/telephony/SKILL.md

  • Access to secretsline 110
    [Credential-related source omitted]
  • Access to secretsline 113
    [Credential-related source omitted]
  • Access to secretsline 114
    [Credential-related source omitted]
  • Network accessline 151
    Sign up at: - https://www.twilio.com/try-twilio
  • Network accessline 152
    - https://www.twilio.com/try-twilio
  • Network accessline 188
    Sign up at: - https://app.bland.ai
  • Network accessline 189
    - https://app.bland.ai
  • Access to secretsline 194
    [Credential-related source omitted]
  • Network accessline 199
    Sign up at: - https://dashboard.vapi.ai
  • Network accessline 200
    - https://dashboard.vapi.ai
  • Access to secretsline 205
    [Credential-related source omitted]
  • Access to secretsline 217
    [Credential-related source omitted]
  • Network accessline 264
    python "$SCRIPT" twilio-send-sms "+15551230000" "Here is the chart." --media-url "https://example.com/chart.png"
  • Network accessline 301
    python "$SCRIPT" twilio-call "+155****0000" --audio-url "https://example.com/briefing.mp3"
  • Network accessline 414
    - Twilio phone numbers: https://www.twilio.com/docs/phone-numbers/api
  • Network accessline 415
    - Twilio messaging: https://www.twilio.com/docs/messaging/api/message-resource
  • Network accessline 416
    - Twilio voice: https://www.twilio.com/docs/voice/api/call-resource
  • Network accessline 417
    - Vapi docs: https://docs.vapi.ai/
  • Network accessline 418
    - Bland.ai: https://app.bland.ai/

optional-skills/productivity/telephony/scripts/telephony.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 5
    [Credential-related source omitted]
  • Network accessline 36
    TWILIO_API_BASE = "https://api.twilio.com/2010-04-01/Accounts"
  • Network accessline 37
    VAPI_API_BASE = "https://api.vapi.ai"
  • Network accessline 38
    BLAND_API_BASE = "https://api.bland.ai/v1"
  • Access to secretsline 73
    [Credential-related source omitted]
  • Access to secretsline 77
    [Credential-related source omitted]
  • Access to secretsline 139
    [Credential-related source omitted]
  • Network accessline 262
    req = urllib.request.Request(url, data=body, headers=request_headers, method=method.upper())
  • Network accessline 263
    try:         with urllib.request.urlopen(req, timeout=30) as resp:             payload = resp.read().decode("utf-8")
  • Network accessline 264
    with urllib.request.urlopen(req, timeout=30) as resp:
  • Access to secretsline 285
    [Credential-related source omitted]
  • Access to secretsline 286
    [Credential-related source omitted]
  • Access to secretsline 287
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 849
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 929
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 1011
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 1243
    [Credential-related source omitted]
  • Access to secretsline 1246
    [Credential-related source omitted]

optional-skills/research/bioinformatics/SKILL.md

  • Network accessline 22
    ◆ **bioSkills** — 385 reference skills (code patterns, parameter guides, decision trees)   Repo: https://github.com/GPTomics/bioSkills
  • Network accessline 23
    Repo: https://github.com/GPTomics/bioSkills
  • Network accessline 26
    ◆ **ClawBio** — 33 runnable pipeline skills (executable scripts, reproducibility bundles)   Repo: https://github.com/ClawBio/ClawBio
  • Network accessline 27
    Repo: https://github.com/ClawBio/ClawBio
  • Network accessline 35
    # bioSkills (reference material)    git clone --depth 1 https://github.com/GPTomics/bioSkills.git ~/.hermes/cache/scratch/bioSkills
  • Network accessline 36
    git clone --depth 1 https://github.com/GPTomics/bioSkills.git ~/.hermes/cache/scratch/bioSkills
  • Network accessline 38
    # ClawBio (runnable pipelines)    git clone --depth 1 https://github.com/ClawBio/ClawBio.git ~/.hermes/cache/scratch/ClawBio
  • Network accessline 39
    git clone --depth 1 https://github.com/ClawBio/ClawBio.git ~/.hermes/cache/scratch/ClawBio
  • Dangerous shell operationline 221
    sudo apt install samtools bcftools ncbi-blast+ minimap2 bedtools

optional-skills/research/blogwatcher/SKILL.md

  • Network accessline 9
    hermes:     tags: [RSS, Blogs, Feed-Reader, Monitoring]     homepage: https://github.com/JulienTant/blogwatcher-cli
  • Network accessline 10
    tags: [RSS, Blogs, Feed-Reader, Monitoring]     homepage: https://github.com/JulienTant/blogwatcher-cli prerequisites:
  • Network accessline 11
    homepage: https://github.com/JulienTant/blogwatcher-cli
  • Network accessline 34
    - **Go:** `go install github.com/JulienTant/blogwatcher-cli/cmd/blogwatcher-cli@latest` - **Docker:** `docker run --rm -v blogwatcher-cli:/data ghcr.io/julientant/blogwatcher-cli` - **Binary (Linux amd64):** `curl -sL https://github.com/Jul
  • Network accessline 35
    - **Docker:** `docker run --rm -v blogwatcher-cli:/data ghcr.io/julientant/blogwatcher-cli` - **Binary (Linux amd64):** `curl -sL https://github.com/JulienTant/blogwatcher-cli/releases/latest/download/blogwatcher-cli_linux_amd64.tar.gz | ta
  • Network accessline 36
    - **Binary (Linux amd64):** `curl -sL https://github.com/JulienTant/blogwatcher-cli/releases/latest/download/blogwatcher-cli_linux_amd64.tar.gz | tar xz -C /usr/local/bin blogwatcher-cli`
  • Network accessline 37
    - **Binary (Linux arm64):** `curl -sL https://github.com/JulienTant/blogwatcher-cli/releases/latest/download/blogwatcher-cli_linux_arm64.tar.gz | tar xz -C /usr/local/bin blogwatcher-cli`
  • Network accessline 38
    - **Binary (macOS Apple Silicon):** `curl -sL https://github.com/JulienTant/blogwatcher-cli/releases/latest/download/blogwatcher-cli_darwin_arm64.tar.gz | tar xz -C /usr/local/bin blogwatcher-cli`
  • Network accessline 39
    - **Binary (macOS Intel):** `curl -sL https://github.com/JulienTant/blogwatcher-cli/releases/latest/download/blogwatcher-cli_darwin_amd64.tar.gz | tar xz -C /usr/local/bin blogwatcher-cli`
  • Network accessline 41
    All releases: https://github.com/JulienTant/blogwatcher-cli/releases
  • Network accessline 69
    - Add a blog: `blogwatcher-cli add "My Blog" https://example.com`
  • Network accessline 70
    - Add with explicit feed: `blogwatcher-cli add "My Blog" https://example.com --feed-url https://example.com/feed.xml`
  • Network accessline 71
    - Add with HTML scraping: `blogwatcher-cli add "My Blog" https://example.com --scrape-selector "article h2 a"`
  • Instruction override signalline 96
    | `BLOGWATCHER_WORKERS` | Number of concurrent scan workers (default: 8) | | `BLOGWATCHER_SILENT` | Only output "scan done" when scanning | | `BLOGWATCHER_YES` | Skip confirmation prompts |
  • Instruction override signalline 97
    | `BLOGWATCHER_SILENT` | Only output "scan done" when scanning | | `BLOGWATCHER_YES` | Skip confirmation prompts | | `BLOGWATCHER_CATEGORY` | Default filter for articles by category |
  • Instruction override signalline 98
    | `BLOGWATCHER_YES` | Skip confirmation prompts |
  • Network accessline 107
    xkcd     URL: https://xkcd.com
  • Network accessline 108
    URL: https://xkcd.com
  • Network accessline 109
    Feed: https://xkcd.com/atom.xml
  • Network accessline 127
    [1] [new] Barrel - Part 13        Blog: xkcd        URL: https://xkcd.com/3095/
  • Network accessline 128
    Blog: xkcd        URL: https://xkcd.com/3095/        Published: 2026-04-02
  • Network accessline 129
    URL: https://xkcd.com/3095/
  • Network accessline 133
    [2] [new] Volcano Fact        Blog: xkcd        URL: https://xkcd.com/3094/
  • Network accessline 134
    Blog: xkcd        URL: https://xkcd.com/3094/        Published: 2026-04-01
  • Network accessline 135
    URL: https://xkcd.com/3094/

optional-skills/research/darwinian-evolver/SKILL.md

  • Network accessline 16
    Run Imbue's [darwinian_evolver](https://github.com/imbue-ai/darwinian_evolver) — an
  • Access to secretsline 47
    [Credential-related source omitted]
  • Access to secretsline 49
    [Credential-related source omitted]
  • Access to secretsline 51
    [Credential-related source omitted]
  • Network accessline 58
    mkdir -p ~/.hermes/cache/darwinian-evolver && cd ~/.hermes/cache/darwinian-evolver [ -d darwinian_evolver ] || git clone --depth 1 https://github.com/imbue-ai/darwinian_evolver.git
  • Network accessline 59
    [ -d darwinian_evolver ] || git clone --depth 1 https://github.com/imbue-ai/darwinian_evolver.git
  • Access to secretsline 72
    [Credential-related source omitted]
  • Access to secretsline 175
    [Credential-related source omitted]
  • Network accessline 195
    - [Imbue research post](https://imbue.com/research/2026-02-27-darwinian-evolver/)
  • Network accessline 196
    - [ARC-AGI-2 results](https://imbue.com/research/2026-02-27-arc-agi-2-evolution/)
  • Network accessline 197
    - [imbue-ai/darwinian_evolver](https://github.com/imbue-ai/darwinian_evolver) (AGPL-3.0)
  • Network accessline 198
    - [Darwin Gödel Machines](https://arxiv.org/abs/2505.22954)
  • Network accessline 199
    - [PromptBreeder](https://arxiv.org/abs/2309.16797)

optional-skills/research/darwinian-evolver/scripts/parrot_openrouter.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 10
    [Credential-related source omitted]
  • Access to secretsline 35
    [Credential-related source omitted]
  • Access to secretsline 39
    [Credential-related source omitted]
  • Network accessline 40
    [Credential-related source omitted]
  • Access to secretsline 41
    [Credential-related source omitted]
  • Network accessline 42
    [Credential-related source omitted]
  • Access to secretsline 42
    [Credential-related source omitted]

optional-skills/research/darwinian-evolver/scripts/show_snapshot.py

  • Executable scriptline 1
    Executable file

optional-skills/research/darwinian-evolver/templates/custom_problem_template.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 10
    [Credential-related source omitted]
  • Access to secretsline 43
    [Credential-related source omitted]
  • Access to secretsline 47
    [Credential-related source omitted]
  • Network accessline 48
    [Credential-related source omitted]
  • Access to secretsline 49
    [Credential-related source omitted]
  • Network accessline 50
    [Credential-related source omitted]
  • Access to secretsline 50
    [Credential-related source omitted]

optional-skills/research/domain-intel/SKILL.md

  • Network accessline 60
    - **Use `web_search`** for general research about what a domain/company does - **Use `web_extract`** to get the actual content of a webpage - **Use `terminal` with `curl -I`** for a simple "is this URL reachable" check
  • Network accessline 62
    - **Use `terminal` with `curl -I`** for a simple "is this URL reachable" check
  • Network accessline 67
    | "Find info about a company" | `web_search` | General research, not domain-specific | | "Is this website safe?" | `web_search` | Reputation checks need web context | | "Check if a URL is reachable" | `terminal` with `curl -I` | Simple HTTP
  • Network accessline 68
    | "Is this website safe?" | `web_search` | Reputation checks need web context | | "Check if a URL is reachable" | `terminal` with `curl -I` | Simple HTTP check | | "Find subdomains of X" | **This skill** | Only passive source for this |
  • Network accessline 69
    | "Check if a URL is reachable" | `terminal` with `curl -I` | Simple HTTP check |
  • Network accessline 104
    *Contributed by [@FurkanL0](https://github.com/FurkanL0)*

optional-skills/research/domain-intel/scripts/domain_intel.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 32
    url = f"https://crt.sh/?q=%25.{urllib.parse.quote(domain)}&output=json"
  • Network accessline 33
    req = urllib.request.Request(url, headers={
  • Network accessline 34
    "User-Agent": "domain-intel-skill/1.0", "Accept": "application/json",     })     with urllib.request.urlopen(req, timeout=15) as r:
  • Network accessline 35
    })     with urllib.request.urlopen(req, timeout=15) as r:         entries = json.loads(r.read().decode())
  • Network accessline 36
    with urllib.request.urlopen(req, timeout=15) as r:
  • Network accessline 85
    try:         ctx = ssl.create_default_context()         with socket.create_connection((host, port), timeout=timeout) as sock:
  • Network accessline 86
    ctx = ssl.create_default_context()         with socket.create_connection((host, port), timeout=timeout) as sock:             with ctx.wrap_socket(sock, server_hostname=host) as s:
  • Network accessline 87
    with socket.create_connection((host, port), timeout=timeout) as sock:
  • Network accessline 93
    ctx.check_hostname = False         ctx.verify_mode = ssl.CERT_NONE         with socket.create_connection((host, port), timeout=timeout) as sock:
  • Network accessline 94
    ctx.verify_mode = ssl.CERT_NONE         with socket.create_connection((host, port), timeout=timeout) as sock:             with ctx.wrap_socket(sock, server_hostname=host) as s:
  • Network accessline 95
    with socket.create_connection((host, port), timeout=timeout) as sock:
  • Network accessline 162
    try:         with socket.create_connection((server, 43), timeout=10) as s:
  • Network accessline 163
    with socket.create_connection((server, 43), timeout=10) as s:
  • Network accessline 231
    records["AAAA"] = []         else:             url = f"https://dns.google/resolve?name={urllib.parse.quote(domain)}&type={qtype}"
  • Network accessline 232
    else:             url = f"https://dns.google/resolve?name={urllib.parse.quote(domain)}&type={qtype}"             try:
  • Network accessline 233
    url = f"https://dns.google/resolve?name={urllib.parse.quote(domain)}&type={qtype}"
  • Network accessline 234
    try:                 req = urllib.request.Request(url, headers={"User-Agent": "domain-intel-skill/1.0"})                 with urllib.request.urlopen(req, timeout=10) as r:
  • Network accessline 235
    req = urllib.request.Request(url, headers={"User-Agent": "domain-intel-skill/1.0"})
  • Network accessline 236
    with urllib.request.urlopen(req, timeout=10) as r:
  • Network accessline 260
    try:         ns_url = f"https://dns.google/resolve?name={urllib.parse.quote(domain)}&type=NS"
  • Network accessline 261
    ns_url = f"https://dns.google/resolve?name={urllib.parse.quote(domain)}&type=NS"
  • Network accessline 262
    req = urllib.request.Request(ns_url, headers={"User-Agent": "domain-intel-skill/1.0"})
  • Network accessline 263
    with urllib.request.urlopen(req, timeout=10) as r:
  • Network accessline 276
    ctx.check_hostname = False         ctx.verify_mode = ssl.CERT_NONE         with socket.create_connection((domain, 443), timeout=3) as s:
  • Network accessline 277
    ctx.verify_mode = ssl.CERT_NONE         with socket.create_connection((domain, 443), timeout=3) as s:             with ctx.wrap_socket(s, server_hostname=domain):
  • Network accessline 278
    with socket.create_connection((domain, 443), timeout=3) as s:
  • Network accessline 290
    if server:         try:             with socket.create_connection((server, 43), timeout=10) as s:
  • Network accessline 291
    try:             with socket.create_connection((server, 43), timeout=10) as s:                 s.sendall((domain + "\r\n").encode())
  • Network accessline 292
    with socket.create_connection((server, 43), timeout=10) as s:

optional-skills/research/drug-discovery/SKILL.md

  • Network accessline 30
    TARGET="$1" ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$TARGET") curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json" \
  • Network accessline 31
    ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$TARGET") curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json" \   | python -c "
  • Dangerous shell operationline 32
    curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json"    | python -c "
  • Network accessline 32
    curl -s "https://www.ebi.ac.uk/chembl/api/data/target/search?q=${ENCODED}&format=json" \
  • Network accessline 46
    # Get bioactivity data for a ChEMBL target ID TARGET_ID="$1"   # e.g. CHEMBL203 curl -s "https://www.ebi.ac.uk/chembl/api/data/activity?target_chembl_id=${TARGET_ID}&pchembl_value__gte=6&limit=10&format=json" \
  • Network accessline 47
    TARGET_ID="$1"   # e.g. CHEMBL203 curl -s "https://www.ebi.ac.uk/chembl/api/data/activity?target_chembl_id=${TARGET_ID}&pchembl_value__gte=6&limit=10&format=json" \   | python -c "
  • Dangerous shell operationline 48
    curl -s "https://www.ebi.ac.uk/chembl/api/data/activity?target_chembl_id=${TARGET_ID}&pchembl_value__gte=6&limit=10&format=json"    | python -c "
  • Network accessline 48
    curl -s "https://www.ebi.ac.uk/chembl/api/data/activity?target_chembl_id=${TARGET_ID}&pchembl_value__gte=6&limit=10&format=json" \
  • Network accessline 60
    # Look up a specific molecule by ChEMBL ID MOL_ID="$1"   # e.g. CHEMBL25 (aspirin) curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/${MOL_ID}?format=json" \
  • Network accessline 61
    MOL_ID="$1"   # e.g. CHEMBL25 (aspirin) curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/${MOL_ID}?format=json" \   | python -c "
  • Dangerous shell operationline 62
    curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/${MOL_ID}?format=json"    | python -c "
  • Network accessline 62
    curl -s "https://www.ebi.ac.uk/chembl/api/data/molecule/${MOL_ID}?format=json" \
  • Network accessline 85
    COMPOUND="$1" ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$COMPOUND") curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/property/MolecularWeight,XLogP,HBondDonorCount,HBon
  • Network accessline 86
    ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$COMPOUND") curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/property/MolecularWeight,XLogP,HBondDonorCount,HBondAcceptorCount
  • Dangerous shell operationline 87
    curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/property/MolecularWeight,XLogP,HBondDonorCount,HBondAcceptorCount,RotatableBondCount,TPSA,InChIKey/JSON"    | python -c "
  • Network accessline 87
    curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/property/MolecularWeight,XLogP,HBondDonorCount,HBondAcceptorCount,RotatableBondCount,TPSA,InChIKey/JSON" \
  • Network accessline 116
    DRUG="$1" ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$DRUG") curl -s "https://api.fda.gov/drug/label.json?search=drug_interactions:\"${ENCODED}\"&limit=3" \
  • Network accessline 117
    ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$DRUG") curl -s "https://api.fda.gov/drug/label.json?search=drug_interactions:\"${ENCODED}\"&limit=3" \   | python -c "
  • Dangerous shell operationline 118
    curl -s "https://api.fda.gov/drug/label.json?search=drug_interactions:\"${ENCODED}\"&limit=3"    | python -c "
  • Network accessline 118
    curl -s "https://api.fda.gov/drug/label.json?search=drug_interactions:\"${ENCODED}\"&limit=3" \
  • Network accessline 137
    DRUG="$1" ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$DRUG") curl -s "https://api.fda.gov/drug/event.json?search=patient.drug.medicinalproduct:\"${ENCODED}\"&count=patient.reaction.reactionmeddrap
  • Network accessline 138
    ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$DRUG") curl -s "https://api.fda.gov/drug/event.json?search=patient.drug.medicinalproduct:\"${ENCODED}\"&count=patient.reaction.reactionmeddrapt.exact&li
  • Dangerous shell operationline 139
    curl -s "https://api.fda.gov/drug/event.json?search=patient.drug.medicinalproduct:\"${ENCODED}\"&count=patient.reaction.reactionmeddrapt.exact&limit=10"    | python -c "
  • Network accessline 139
    curl -s "https://api.fda.gov/drug/event.json?search=patient.drug.medicinalproduct:\"${ENCODED}\"&count=patient.reaction.reactionmeddrapt.exact&limit=10" \
  • Network accessline 156
    COMPOUND="$1" ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$COMPOUND") CID=$(curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/cids/TXT" | head -1 | tr -d '[:space:]')
  • Network accessline 157
    ENCODED=$(python -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$COMPOUND") CID=$(curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/cids/TXT" | head -1 | tr -d '[:space:]') echo "PubChem CID:
  • Network accessline 158
    CID=$(curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name/${ENCODED}/cids/TXT" | head -1 | tr -d '[:space:]')
  • Network accessline 159
    echo "PubChem CID: $CID" curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/cid/${CID}/property/IsomericSMILES,InChIKey,IUPACName/JSON" \   | python -c "
  • Dangerous shell operationline 160
    curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/cid/${CID}/property/IsomericSMILES,InChIKey,IUPACName/JSON"    | python -c "
  • Network accessline 160
    curl -s "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/cid/${CID}/property/IsomericSMILES,InChIKey,IUPACName/JSON" \
  • Network accessline 173
    GENE="$1" curl -s -X POST "https://api.platform.opentargets.org/api/v4/graphql" \
  • Dangerous shell operationline 174
    curl -s -X POST "https://api.platform.opentargets.org/api/v4/graphql"    -H "Content-Type: application/json"    -d "{\"query\":\"{ search(queryString: \\\"${GENE}\\\", entityNames: [\\\"target\\\"], page: {index: 0, size: 1}) { hits { id sc
  • Network accessline 174
    curl -s -X POST "https://api.platform.opentargets.org/api/v4/graphql" \

optional-skills/research/drug-discovery/references/ADMET_REFERENCE.md

  • Network accessline 63
    - ChEMBL: https://www.ebi.ac.uk/chembl/api/data/
  • Network accessline 64
    - PubChem: https://pubchem.ncbi.nlm.nih.gov/rest/pug/
  • Network accessline 65
    - OpenFDA: https://api.fda.gov/drug/
  • Network accessline 66
    - OpenTargets GraphQL: https://api.platform.opentargets.org/api/v4/graphql

optional-skills/research/drug-discovery/scripts/chembl_target.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 10
    BASE = "https://www.ebi.ac.uk/chembl/api/data"
  • Network accessline 12
    def get(endpoint):     try:         req = urllib.request.Request(f"{BASE}{endpoint}", headers={"Accept":"application/json"})
  • Network accessline 13
    try:         req = urllib.request.Request(f"{BASE}{endpoint}", headers={"Accept":"application/json"})         with urllib.request.urlopen(req, timeout=15) as r:
  • Network accessline 14
    req = urllib.request.Request(f"{BASE}{endpoint}", headers={"Accept":"application/json"})
  • Network accessline 15
    with urllib.request.urlopen(req, timeout=15) as r:

optional-skills/research/drug-discovery/scripts/ro5_screen.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 10
    BASE = "https://pubchem.ncbi.nlm.nih.gov/rest/pug/compound/name"
  • Network accessline 13
    def fetch(name):
  • Network accessline 14
    url = f"{BASE}/{urllib.parse.quote(name)}/property/{PROPS}/JSON"     try:         with urllib.request.urlopen(url, timeout=10) as r:
  • Network accessline 15
    try:         with urllib.request.urlopen(url, timeout=10) as r:             return json.loads(r.read())["PropertyTable"]["Properties"][0]
  • Network accessline 16
    with urllib.request.urlopen(url, timeout=10) as r:
  • Network accessline 35
    passed = 0     for name in compounds:         props = fetch(name.strip())
  • Network accessline 36
    for name in compounds:         props = fetch(name.strip())         result = check(props) if props else None
  • Network accessline 37
    props = fetch(name.strip())

optional-skills/research/duckduckgo-search/SKILL.md

  • Access to secretsline 19
    [Credential-related source omitted]
  • Network accessline 211
    - **Rate limiting**: DuckDuckGo may throttle after many rapid requests. Add a short delay between searches if needed. - **No content extraction**: `ddgs` returns snippets, not full page content. Use `web_extract`, browser tools, or curl for
  • Network accessline 212
    - **No content extraction**: `ddgs` returns snippets, not full page content. Use `web_extract`, browser tools, or curl for the full article/page.

optional-skills/research/duckduckgo-search/scripts/duckduckgo.sh

  • Executable scriptline 1
    #!/usr/bin/env bash

optional-skills/research/gitnexus-explorer/SKILL.md

  • Network accessline 44
    if [ ! -d "$GITNEXUS_DIR/gitnexus-web/dist" ]; then   git clone https://github.com/abhigyanpatwari/GitNexus.git "$GITNEXUS_DIR"
  • Network accessline 45
    git clone https://github.com/abhigyanpatwari/GitNexus.git "$GITNEXUS_DIR"
  • Network accessline 59
    export const DEFAULT_BACKEND_URL = 'http://localhost:4747';
  • Network accessline 63
    export const DEFAULT_BACKEND_URL = typeof window !== 'undefined' && window.location.hostname !== 'localhost' ? window.location.origin : 'http://localhost:4747';
  • Dangerous shell operationline 86
    rm -rf .claude/    # remove Claude Code-specific artifacts
  • Network accessline 141
    if (req.url.startsWith('/api')) proxyToApi(req, res);   else serveStatic(req, res); }).listen(PORT, () => console.log(`GitNexus proxy on http://localhost:${PORT}`));
  • Network accessline 143
    }).listen(PORT, () => console.log(`GitNexus proxy on http://localhost:${PORT}`));
  • Network accessline 156
    Verify: `curl -s http://localhost:8888/api/repos` should return the indexed repo(s).
  • Network accessline 162
    if ! command -v cloudflared &>/dev/null; then   mkdir -p ~/.local/bin   curl -sL https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 \
  • Network accessline 163
    mkdir -p ~/.local/bin   curl -sL https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 \     -o ~/.local/bin/cloudflared
  • Network accessline 164
    curl -sL https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64 \
  • Network accessline 170
    # Start tunnel (--config /dev/null avoids conflicts with existing named tunnels) cloudflared tunnel --config /dev/null --url http://localhost:8888 --no-autoupdate --protocol http2
  • Network accessline 171
    cloudflared tunnel --config /dev/null --url http://localhost:8888 --no-autoupdate --protocol http2
  • Network accessline 174
    The tunnel URL (e.g., `https://random-words.trycloudflare.com`) is printed to stderr.
  • Dangerous shell operationline 188
    rm -rf .claude/
  • Dangerous shell operationline 203
    then `rm -rf .claude/` for the rest. These are Claude Code integrations that

optional-skills/research/gitnexus-explorer/scripts/proxy.mjs

  • Executable scriptline 1
    Executable file
  • Network accessline 87
    server.listen(PORT, () => {   console.log(`GitNexus proxy listening on http://localhost:${PORT}`);
  • Network accessline 88
    console.log(`GitNexus proxy listening on http://localhost:${PORT}`);
  • Network accessline 89
    console.log(`  Web UI: http://localhost:${PORT}/`);
  • Network accessline 90
    console.log(`  API:    http://localhost:${PORT}/api/repos`);
  • Network accessline 91
    console.log(`  Backend: http://127.0.0.1:${API_PORT}`);

optional-skills/research/llm-wiki/SKILL.md

  • Network accessline 17
    Build and maintain a persistent, compounding knowledge base as interlinked markdown files. Based on [Andrej Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f).
  • Network accessline 18
    Based on [Andrej Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f).
  • Network accessline 156
    --- source_url: https://example.com/article   # original URL, if applicable
  • Network accessline 157
    source_url: https://example.com/article   # original URL, if applicable
  • Dangerous shell operationline 471
    sudo loginctl enable-linger $USER
  • Network accessline 502
    [llm-wiki-compiler](https://github.com/atomicmemory/llm-wiki-compiler) is a Node.js CLI that

optional-skills/research/osint-investigation/SKILL.md

  • Network accessline 57
    (the API is unreliable for ad-hoc contributor-name queries on the free   DEMO_KEY tier). For federal donations, point users at   https://www.fec.gov/data/ directly.
  • Network accessline 59
    https://www.fec.gov/data/ directly.

optional-skills/research/osint-investigation/references/sources/courtlistener.md

  • Network accessline 11
    - **REST API v4:** `https://www.courtlistener.com/api/rest/v4/`
  • Network accessline 16
    Set `COURTLISTENER_TOKEN` env var. Get a free token at https://www.courtlistener.com/sign-in/ then create an API key.
  • Network accessline 17
    https://www.courtlistener.com/sign-in/ then create an API key.
  • Network accessline 95
    - API docs: https://www.courtlistener.com/help/api/rest/
  • Network accessline 96
    - Court IDs: https://www.courtlistener.com/api/jurisdictions/
  • Network accessline 97
    - RECAP archive: https://www.courtlistener.com/recap/
  • Network accessline 98
    - Bulk data: https://www.courtlistener.com/help/api/bulk-data/

optional-skills/research/osint-investigation/references/sources/gdelt.md

  • Network accessline 15
    - **DOC 2.0 API:** `https://api.gdeltproject.org/api/v2/doc/doc`
  • Network accessline 16
    - **Events / GKG 2.0:** `https://api.gdeltproject.org/api/v2/events/events`
  • Network accessline 89
    GDELT supports its own query operators: phrase quoting, AND/OR/NOT, `sourcecountry:US`, `theme:ECON_BANKRUPTCY`, `tone<-5`, etc. See https://blog.gdeltproject.org/gdelt-doc-2-0-api-debuts/ for syntax.
  • Network accessline 91
    See https://blog.gdeltproject.org/gdelt-doc-2-0-api-debuts/ for syntax.
  • Network accessline 102
    - DOC 2.0 API: https://blog.gdeltproject.org/gdelt-doc-2-0-api-debuts/
  • Network accessline 103
    - Themes & query syntax: https://blog.gdeltproject.org/gkg-2-0-our-global-knowledge-graph-2-0-amazing-data-at-your-fingertips/
  • Network accessline 104
    - Project home: https://www.gdeltproject.org/

optional-skills/research/osint-investigation/references/sources/icij-offshore.md

  • Network accessline 12
    - **Bulk download (primary):** `https://offshoreleaks-data.icij.org/offshoreleaks/csv/full-oldb.LATEST.zip` (~70 MB ZIP, refreshed periodically)
  • Network accessline 13
    - **Search UI (human):** `https://offshoreleaks.icij.org/`
  • Network accessline 101
    - Database: https://offshoreleaks.icij.org/
  • Network accessline 102
    - About the data: https://offshoreleaks.icij.org/pages/about
  • Network accessline 103
    - Methodology: https://www.icij.org/investigations/panama-papers/
  • Network accessline 104
    - API hints: Open Refine reconciliation endpoint at `https://offshoreleaks.icij.org/reconcile`

optional-skills/research/osint-investigation/references/sources/nyc-acris.md

  • Network accessline 12
    - **Socrata API:** `https://data.cityofnewyork.us/resource/636b-3b5g.json` (Parties)
  • Access to secretsline 14
    [Credential-related source omitted]
  • Network accessline 87
    - ACRIS portal: https://a836-acris.nyc.gov/CP/
  • Network accessline 88
    - NYC Open Data: https://data.cityofnewyork.us/
  • Network accessline 89
    - Parties dataset: https://data.cityofnewyork.us/City-Government/ACRIS-Real-Property-Parties/636b-3b5g
  • Network accessline 90
    - Document type codes: https://www1.nyc.gov/site/finance/taxes/acris.page

optional-skills/research/osint-investigation/references/sources/ofac-sdn.md

  • Network accessline 12
    - **Full XML:** `https://www.treasury.gov/ofac/downloads/sdn.xml`
  • Network accessline 13
    - **Delimited:** `https://www.treasury.gov/ofac/downloads/sdn.csv`
  • Network accessline 14
    - **Consolidated:** `https://www.treasury.gov/ofac/downloads/consolidated/consolidated.xml`
  • Network accessline 89
    - OFAC home: https://ofac.treasury.gov/
  • Network accessline 90
    - SDN list: https://ofac.treasury.gov/specially-designated-nationals-and-blocked-persons-list-sdn-human-readable-lists
  • Network accessline 91
    - Data formats: https://ofac.treasury.gov/sdn-list/sanctions-list-search-tool
  • Network accessline 92
    - Compliance guidance: https://ofac.treasury.gov/recent-actions

optional-skills/research/osint-investigation/references/sources/opencorporates.md

  • Network accessline 12
    - **REST API:** `https://api.opencorporates.com/v0.4/`
  • Network accessline 13
    - **HTML fallback:** `https://opencorporates.com/companies?q=...` - **Auth:** API token required (free tier 500 calls/month, paid plans available) - **Rate limit:** Token-bound; un-tokened requests return 401
  • Network accessline 17
    Set `OPENCORPORATES_API_TOKEN` env var. Get a free token at https://opencorporates.com/api_accounts/new.
  • Network accessline 18
    https://opencorporates.com/api_accounts/new.
  • Network accessline 101
    - API docs: https://api.opencorporates.com/documentation/API-Reference
  • Network accessline 102
    - Jurisdiction codes: https://api.opencorporates.com/v0.4/jurisdictions.json
  • Network accessline 103
    - Schema: https://opencorporates.com/info/our_data

optional-skills/research/osint-investigation/references/sources/sec-edgar.md

  • Network accessline 11
    - **API:** `https://data.sec.gov/submissions/CIK<10-digit-padded>.json` (no auth)
  • Network accessline 12
    - **Filing index:** `https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=...`
  • Network accessline 13
    - **Full-text search:** `https://efts.sec.gov/LATEST/search-index?q=...` - **Auth:** None — requires `User-Agent` header with contact info per SEC policy - **Rate limit:** 10 requests/second per IP (enforced)
  • Network accessline 81
    - Developer docs: https://www.sec.gov/edgar/sec-api-documentation
  • Network accessline 82
    - EDGAR full-text search: https://efts.sec.gov/LATEST/search-index
  • Network accessline 83
    - Fair access policy: https://www.sec.gov/os/accessing-edgar-data

optional-skills/research/osint-investigation/references/sources/senate-ld.md

  • Network accessline 12
    - **API:** `https://lda.senate.gov/api/v1/` (no auth required for read-only) - **Bulk download:** `https://lda.senate.gov/api/v1/filings/?format=csv` (paginated)
  • Network accessline 13
    - **Bulk download:** `https://lda.senate.gov/api/v1/filings/?format=csv` (paginated)
  • Network accessline 14
    - **Auth:** Token required for >120 req/hour — register at https://lda.senate.gov/api/auth/register/
  • Network accessline 87
    - API docs: https://lda.senate.gov/api/redoc/v1/
  • Network accessline 88
    - LDA guidance: https://lobbyingdisclosure.house.gov/ld_guidance.pdf
  • Network accessline 89
    - Senate Public Records: https://lda.senate.gov/

optional-skills/research/osint-investigation/references/sources/usaspending.md

  • Network accessline 11
    - **API v2:** `https://api.usaspending.gov/api/v2/` (no auth, no key)
  • Network accessline 12
    - **Bulk:** `https://files.usaspending.gov/` (CSV / Parquet by award type)
  • Network accessline 95
    - API docs: https://api.usaspending.gov/
  • Network accessline 96
    - Data dictionary: https://www.usaspending.gov/data-dictionary
  • Network accessline 97
    - Award schema: https://files.usaspending.gov/docs/Data_Dictionary_Crosswalk.xlsx

optional-skills/research/osint-investigation/references/sources/wayback.md

  • Network accessline 11
    - **CDX server:** `https://web.archive.org/cdx/search/cdx`
  • Network accessline 12
    - **Wayback URL:** `https://web.archive.org/web/<timestamp>/<url>`
  • Network accessline 13
    - **Save Page Now (write):** `https://web.archive.org/save/<url>` (different API)
  • Network accessline 62
    # All captures of a specific URL python3 SKILL_DIR/scripts/fetch_wayback.py --url "https://example.com/page" \
  • Network accessline 63
    python3 SKILL_DIR/scripts/fetch_wayback.py --url "https://example.com/page" \
  • Network accessline 91
    - CDX server docs: https://github.com/internetarchive/wayback/blob/master/wayback-cdx-server/README.md
  • Network accessline 92
    - Wayback API: https://archive.org/help/wayback_api.php
  • Network accessline 93
    - Internet Archive: https://archive.org/

optional-skills/research/osint-investigation/references/sources/wikipedia.md

  • Network accessline 15
    - **Wikipedia OpenSearch:** `https://en.wikipedia.org/w/api.php?action=opensearch`
  • Network accessline 16
    - **Wikipedia REST summary:** `https://en.wikipedia.org/api/rest_v1/page/summary/<title>`
  • Network accessline 17
    - **Wikidata Action API:** `https://www.wikidata.org/w/api.php?action=wbgetentities`
  • Network accessline 18
    - **Wikidata SPARQL:** `https://query.wikidata.org/sparql` (more powerful but aggressively rate-limited)
  • Network accessline 103
    - Wikipedia OpenSearch: https://www.mediawiki.org/wiki/API:Opensearch
  • Network accessline 104
    - Wikipedia REST: https://en.wikipedia.org/api/rest_v1/
  • Network accessline 105
    - Wikidata Action API: https://www.wikidata.org/wiki/Wikidata:Data_access
  • Network accessline 106
    - Wikidata SPARQL: https://www.wikidata.org/wiki/Wikidata:SPARQL_query_service
  • Network accessline 107
    - User-Agent policy: https://meta.wikimedia.org/wiki/User-Agent_policy

optional-skills/research/osint-investigation/scripts/_http.py

  • Executable scriptline 1
    Executable file
  • Network accessline 14
    DEFAULT_UA = (     "hermes-osint-investigation/0.2 "     "(+https://github.com/NousResearch/hermes-agent; "
  • Network accessline 15
    "hermes-osint-investigation/0.2 "     "(+https://github.com/NousResearch/hermes-agent; "     "set HERMES_OSINT_UA env var to identify yourself per "
  • Network accessline 16
    "(+https://github.com/NousResearch/hermes-agent; "
  • Access to secretsline 41
    [Credential-related source omitted]
  • Network accessline 45
    last_err: Exception | None = None     for attempt in range(max_retries + 1):         req = urllib.request.Request(url, headers=h)
  • Network accessline 46
    for attempt in range(max_retries + 1):         req = urllib.request.Request(url, headers=h)         try:
  • Network accessline 47
    req = urllib.request.Request(url, headers=h)
  • Network accessline 48
    try:             with urllib.request.urlopen(req, timeout=timeout) as resp:                 return resp.read()
  • Network accessline 49
    with urllib.request.urlopen(req, timeout=timeout) as resp:

optional-skills/research/osint-investigation/scripts/_normalize.py

  • Executable scriptline 1
    Executable file

optional-skills/research/osint-investigation/scripts/build_findings.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/research/osint-investigation/scripts/entity_resolution.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/research/osint-investigation/scripts/fetch_courtlistener.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 22
    BASE = "https://www.courtlistener.com/api/rest/v4/search/"
  • Network accessline 46
    def fetch(
  • Network accessline 93
    "snippet": (r.get("snippet", "") or "").replace("\n", " ")[:500],                     "absolute_url": (                         f"https://www.courtlistener.com{r.get('absolute_url', '')}"
  • Network accessline 94
    "absolute_url": (                         f"https://www.courtlistener.com{r.get('absolute_url', '')}"                         if r.get("absolute_url", "").startswith("/")
  • Network accessline 95
    f"https://www.courtlistener.com{r.get('absolute_url', '')}"
  • Access to secretsline 130
    [Credential-related source omitted]
  • Network accessline 132
    p.add_argument("--out", required=True)     a = p.parse_args()     n = fetch(
  • Network accessline 133
    a = p.parse_args()     n = fetch(         query=a.query,
  • Network accessline 134
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_gdelt.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 22
    BASE = "https://api.gdeltproject.org/api/v2/doc/doc"
  • Network accessline 36
    def fetch(
  • Network accessline 117
    f"GDELT: 0 articles for query={query!r}. "             "GDELT indexes ~2015→present. Try widening the timespan or "             "checking the query syntax (https://blog.gdeltproject.org/gdelt-doc-2-0-api-debuts/).",
  • Network accessline 118
    "GDELT indexes ~2015→present. Try widening the timespan or "             "checking the query syntax (https://blog.gdeltproject.org/gdelt-doc-2-0-api-debuts/).",             file=sys.stderr,
  • Network accessline 119
    "checking the query syntax (https://blog.gdeltproject.org/gdelt-doc-2-0-api-debuts/).",
  • Network accessline 143
    p.add_argument("--out", required=True)     a = p.parse_args()     n = fetch(
  • Network accessline 144
    a = p.parse_args()     n = fetch(         query=a.query,
  • Network accessline 145
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_icij_offshore.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 4
    The old reconcile endpoint (https://offshoreleaks.icij.org/reconcile) returns
  • Network accessline 8
    https://offshoreleaks-data.icij.org/offshoreleaks/csv/full-oldb.LATEST.zip
  • Network accessline 30
    BULK_URL = "https://offshoreleaks-data.icij.org/offshoreleaks/csv/full-oldb.LATEST.zip"
  • Access to secretsline 48
    [Credential-related source omitted]
  • Network accessline 62
    return zip_path     print(f"Downloading ICIJ bulk database (~70 MB) to {zip_path}", file=sys.stderr)     req = urllib.request.Request(
  • Network accessline 63
    print(f"Downloading ICIJ bulk database (~70 MB) to {zip_path}", file=sys.stderr)     req = urllib.request.Request(         BULK_URL,
  • Network accessline 64
    req = urllib.request.Request(
  • Network accessline 66
    headers={"User-Agent": "hermes-agent osint-investigation skill"},     )     with urllib.request.urlopen(req, timeout=120) as resp:
  • Network accessline 67
    )     with urllib.request.urlopen(req, timeout=120) as resp:         tmp = zip_path.with_suffix(".zip.tmp")
  • Network accessline 68
    with urllib.request.urlopen(req, timeout=120) as resp:
  • Network accessline 99
    def fetch(
  • Network accessline 165
    "source": row.get("sourceID", "") or row.get("source", "") or "",                             "entity_url": (                                 f"https://offshoreleaks.icij.org/nodes/{node_id}" if node_id else ""
  • Network accessline 166
    "entity_url": (                                 f"https://offshoreleaks.icij.org/nodes/{node_id}" if node_id else ""                             ),
  • Network accessline 167
    f"https://offshoreleaks.icij.org/nodes/{node_id}" if node_id else ""
  • Network accessline 218
    if not (a.entity or a.officer or a.jurisdiction):         p.error("must supply at least one of --entity / --officer / --jurisdiction")     n = fetch(
  • Network accessline 219
    p.error("must supply at least one of --entity / --officer / --jurisdiction")     n = fetch(         entity=a.entity,
  • Network accessline 220
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_nyc_acris.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 26
    PARTIES_URL = "https://data.cityofnewyork.us/resource/636b-3b5g.json"
  • Network accessline 27
    MASTER_URL = "https://data.cityofnewyork.us/resource/bnx9-e6tj.json"
  • Network accessline 65
    return ""     return (         f"https://a836-acris.nyc.gov/DS/DocumentSearch/DocumentImageView?doc_id={document_id}"
  • Network accessline 66
    return (         f"https://a836-acris.nyc.gov/DS/DocumentSearch/DocumentImageView?doc_id={document_id}"     )
  • Network accessline 67
    f"https://a836-acris.nyc.gov/DS/DocumentSearch/DocumentImageView?doc_id={document_id}"
  • Network accessline 71
    def fetch(
  • Network accessline 188
    p.add_argument("--out", required=True)     a = p.parse_args()     n = fetch(
  • Network accessline 189
    a = p.parse_args()     n = fetch(         name=a.name,
  • Network accessline 190
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_ofac_sdn.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 4
    Public endpoint: https://www.treasury.gov/ofac/downloads/sdn.csv
  • Network accessline 5
    Format reference: https://ofac.treasury.gov/specially-designated-nationals-and-blocked-persons-list-sdn-human-readable-lists
  • Network accessline 24
    SDN_URL = "https://www.treasury.gov/ofac/downloads/sdn.csv"
  • Network accessline 25
    ADD_URL = "https://www.treasury.gov/ofac/downloads/add.csv"
  • Network accessline 26
    ALT_URL = "https://www.treasury.gov/ofac/downloads/alt.csv"
  • Network accessline 85
    def fetch(
  • Network accessline 167
    p.add_argument("--out", required=True)     a = p.parse_args()     n = fetch(program=a.program, entity_type=a.entity_type, out_path=a.out)
  • Network accessline 168
    a = p.parse_args()     n = fetch(program=a.program, entity_type=a.entity_type, out_path=a.out)     print(f"Wrote {n} OFAC SDN rows to {a.out}")
  • Network accessline 169
    n = fetch(program=a.program, entity_type=a.entity_type, out_path=a.out)

optional-skills/research/osint-investigation/scripts/fetch_opencorporates.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 24
    API_URL = "https://api.opencorporates.com/v0.4/companies/search"
  • Network accessline 25
    HTML_URL = "https://opencorporates.com/companies"
  • Network accessline 78
    {                 "name": (m.group("name") or "").strip(),                 "opencorporates_url": f"https://opencorporates.com{url_path}",
  • Network accessline 79
    "name": (m.group("name") or "").strip(),                 "opencorporates_url": f"https://opencorporates.com{url_path}",                 "jurisdiction_code": (m.group("jur") or "").strip(),
  • Network accessline 80
    "opencorporates_url": f"https://opencorporates.com{url_path}",
  • Network accessline 89
    def fetch(
  • Network accessline 108
    print(             "OPENCORPORATES_API_TOKEN not set — using HTML fallback (limited fields). "             "Get a free token at https://opencorporates.com/api_accounts/new",
  • Network accessline 109
    "OPENCORPORATES_API_TOKEN not set — using HTML fallback (limited fields). "             "Get a free token at https://opencorporates.com/api_accounts/new",             file=sys.stderr,
  • Network accessline 110
    "Get a free token at https://opencorporates.com/api_accounts/new",
  • Access to secretsline 176
    [Credential-related source omitted]
  • Network accessline 177
    p.add_argument("--out", required=True)     a = p.parse_args()     n = fetch(
  • Network accessline 178
    a = p.parse_args()     n = fetch(         query=a.query,
  • Network accessline 179
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_sec_edgar.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 7
    Filings JSON is published at:     https://data.sec.gov/submissions/CIK<10-digit-padded>.json
  • Network accessline 8
    https://data.sec.gov/submissions/CIK<10-digit-padded>.json
  • Network accessline 10
    Company lookup uses:     https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&company=<name>&output=atom
  • Network accessline 11
    https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&company=<name>&output=atom
  • Network accessline 25
    SUBMISSIONS_URL = "https://data.sec.gov/submissions/CIK{cik}.json"
  • Access to secretsline 39
    [Credential-related source omitted]
  • Network accessline 55
    url = "https://www.sec.gov/cgi-bin/browse-edgar"
  • Network accessline 67
    def fetch(
  • Network accessline 122
    acc_nodash = acc.replace("-", "")         filing_url = (             f"https://www.sec.gov/Archives/edgar/data/{int(cik)}/{acc_nodash}/{pdoc}"
  • Network accessline 123
    filing_url = (             f"https://www.sec.gov/Archives/edgar/data/{int(cik)}/{acc_nodash}/{pdoc}"             if acc and pdoc
  • Network accessline 124
    f"https://www.sec.gov/Archives/edgar/data/{int(cik)}/{acc_nodash}/{pdoc}"
  • Network accessline 176
    a = p.parse_args()     types = [t for t in (a.types or "").split(",") if t.strip()]     n = fetch(cik=a.cik, company=a.company, types=types, since=a.since, out_path=a.out)
  • Network accessline 177
    types = [t for t in (a.types or "").split(",") if t.strip()]     n = fetch(cik=a.cik, company=a.company, types=types, since=a.since, out_path=a.out)     print(f"Wrote {n} EDGAR filing rows to {a.out}")
  • Network accessline 178
    n = fetch(cik=a.cik, company=a.company, types=types, since=a.since, out_path=a.out)

optional-skills/research/osint-investigation/scripts/fetch_senate_ld.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 18
    ENDPOINT = "https://lda.senate.gov/api/v1/filings/"
  • Network accessline 38
    def fetch(
  • Access to secretsline 127
    [Credential-related source omitted]
  • Network accessline 131
    if not (a.client or a.registrant):         p.error("must supply at least one of --client / --registrant")     n = fetch(
  • Network accessline 132
    p.error("must supply at least one of --client / --registrant")     n = fetch(         client=a.client,
  • Network accessline 133
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_usaspending.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 16
    ENDPOINT = "https://api.usaspending.gov/api/v2/search/spending_by_award/"
  • Network accessline 58
    def _post(body: dict) -> dict:     req = urllib.request.Request(
  • Network accessline 59
    req = urllib.request.Request(
  • Network accessline 63
    method="POST",     )     with urllib.request.urlopen(req, timeout=60) as resp:
  • Network accessline 64
    )     with urllib.request.urlopen(req, timeout=60) as resp:         return json.loads(resp.read().decode("utf-8"))
  • Network accessline 65
    with urllib.request.urlopen(req, timeout=60) as resp:
  • Network accessline 69
    def fetch(
  • Network accessline 155
    if not (a.recipient or a.agency):         p.error("must supply at least one of --recipient / --agency")     n = fetch(
  • Network accessline 156
    p.error("must supply at least one of --recipient / --agency")     n = fetch(         recipient=a.recipient,
  • Network accessline 157
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_wayback.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 19
    BASE = "https://web.archive.org/cdx/search/cdx"
  • Network accessline 32
    def fetch(
  • Network accessline 78
    "url": orig,                     "timestamp": ts,                     "wayback_url": f"https://web.archive.org/web/{ts}/{orig}" if ts and orig else "",
  • Network accessline 79
    "timestamp": ts,                     "wayback_url": f"https://web.archive.org/web/{ts}/{orig}" if ts and orig else "",                     "mimetype": entry[idx["mimetype"]] if "mimetype" in idx else "",
  • Network accessline 80
    "wayback_url": f"https://web.archive.org/web/{ts}/{orig}" if ts and orig else "",
  • Network accessline 124
    p.add_argument("--out", required=True)     a = p.parse_args()     n = fetch(
  • Network accessline 125
    a = p.parse_args()     n = fetch(         url_or_host=a.url,
  • Network accessline 126
    n = fetch(

optional-skills/research/osint-investigation/scripts/fetch_wikipedia.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 23
    WP_OPENSEARCH = "https://en.wikipedia.org/w/api.php"
  • Network accessline 24
    WP_SUMMARY = "https://en.wikipedia.org/api/rest_v1/page/summary/"
  • Network accessline 25
    WD_ACTION = "https://www.wikidata.org/w/api.php"
  • Network accessline 203
    def fetch(query: str, limit: int, no_wikidata: bool, out_path: str) -> int:
  • Network accessline 221
    "wikipedia_title": title,                 "wikipedia_url": hit.get("url", ""),                 "wikidata_url": f"https://www.wikidata.org/wiki/{qid}" if qid else "",
  • Network accessline 222
    "wikipedia_url": hit.get("url", ""),                 "wikidata_url": f"https://www.wikidata.org/wiki/{qid}" if qid else "",                 "instance_of": "; ".join(facts.get("instance_of", [])),
  • Network accessline 223
    "wikidata_url": f"https://www.wikidata.org/wiki/{qid}" if qid else "",
  • Network accessline 258
    p.add_argument("--out", required=True)     a = p.parse_args()     n = fetch(query=a.query, limit=a.limit, no_wikidata=a.no_wikidata, out_path=a.out)
  • Network accessline 259
    a = p.parse_args()     n = fetch(query=a.query, limit=a.limit, no_wikidata=a.no_wikidata, out_path=a.out)     print(f"Wrote {n} Wikipedia/Wikidata rows to {a.out}")
  • Network accessline 260
    n = fetch(query=a.query, limit=a.limit, no_wikidata=a.no_wikidata, out_path=a.out)

optional-skills/research/osint-investigation/scripts/timing_analysis.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/research/parallel-cli/SKILL.md

  • Dangerous shell operationline 67
    curl -fsSL https://parallel.ai/install.sh | bash
  • Network accessline 67
    curl -fsSL https://parallel.ai/install.sh | bash
  • Access to secretsline 94
    [Credential-related source omitted]
  • Network accessline 184
    parallel-cli extract https://example.com --json
  • Network accessline 185
    parallel-cli extract https://company.com --objective "Find pricing info" --json parallel-cli extract https://example.com --full-content --json parallel-cli fetch https://example.com --json
  • Network accessline 186
    parallel-cli extract https://example.com --full-content --json
  • Network accessline 187
    parallel-cli fetch https://example.com --json
  • Access to secretsline 363
    [Credential-related source omitted]

optional-skills/research/qmd/SKILL.md

  • Network accessline 21
    Created by [Tobi Lütke](https://github.com/tobi/qmd). MIT licensed.
  • Network accessline 43
    # Linux — use NodeSource or nvm curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash -
  • Dangerous shell operationline 44
    curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash -
  • Network accessline 44
    curl -fsSL https://deb.nodesource.com/setup_22.x | sudo -E bash -
  • Dangerous shell operationline 45
    sudo apt-get install -y nodejs
  • Network accessline 254
    # Runs on http://localhost:8181 by default
  • Network accessline 260
    mcp_servers:   qmd:     url: "http://localhost:8181/mcp"
  • Network accessline 261
    qmd:     url: "http://localhost:8181/mcp"     timeout: 30
  • Network accessline 262
    url: "http://localhost:8181/mcp"
  • Network accessline 275
    <?xml version="1.0" encoding="UTF-8"?> <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN"   "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
  • Network accessline 276
    <!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN"   "http://www.apple.com/DTDs/PropertyList-1.0.dtd"> <plist version="1.0">
  • Network accessline 277
    "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
  • Network accessline 440
    - [GitHub: tobi/qmd](https://github.com/tobi/qmd)
  • Network accessline 441
    - [QMD Changelog](https://github.com/tobi/qmd/blob/main/CHANGELOG.md)

optional-skills/research/research-paper-writing/SKILL.md

  • Network accessline 258
    # Via web_extract (for specific papers): web_extract("https://arxiv.org/abs/2303.17651")
  • Network accessline 259
    web_extract("https://arxiv.org/abs/2303.17651")
  • Network accessline 274
    claude mcp add exa -- npx -y mcp-remote "https://mcp.exa.ai/mcp"
  • Network accessline 328
    def doi_to_bibtex(doi: str) -> str:     response = requests.get(
  • Network accessline 329
    response = requests.get(
  • Network accessline 330
    f"https://doi.org/{doi}",
  • Network accessline 968
    - [ ] Self-citations written in third person: "Smith et al. [1] showed..." not "We previously showed [1]..." - [ ] No GitHub/GitLab URLs pointing to your personal repos - [ ] Use Anonymous GitHub (https://anonymous.4open.science/) for code 
  • Network accessline 969
    - [ ] No GitHub/GitLab URLs pointing to your personal repos - [ ] Use Anonymous GitHub (https://anonymous.4open.science/) for code links - [ ] No institutional logos or identifiers in figures
  • Network accessline 970
    - [ ] Use Anonymous GitHub (https://anonymous.4open.science/) for code links
  • Dangerous shell operationline 1045
    rm -f *.aux *.bbl *.blg *.log *.out *.pdf
  • Network accessline 1220
    # Use Anonymous GitHub for double-blind review # https://anonymous.4open.science/
  • Network accessline 1221
    # https://anonymous.4open.science/
  • Network accessline 1393
    | **`read_file`** / **`write_file`** / **`patch`** | Paper editing, experiment scripts, result files. Use `patch` for targeted edits to large .tex files. | | **`web_search`** | Literature discovery: `web_search("transformer attention mechan
  • Network accessline 1394
    | **`web_search`** | Literature discovery: `web_search("transformer attention mechanism 2024")` | | **`web_extract`** | Fetch paper content, verify citations: `web_extract("https://arxiv.org/abs/2303.17651")` | | **`delegate_task`** | **Par
  • Network accessline 1395
    | **`web_extract`** | Fetch paper content, verify citations: `web_extract("https://arxiv.org/abs/2303.17651")` |
  • Network accessline 1439
    doi = paper.externalIds.get('DOI', 'N/A')     if doi != 'N/A':         bibtex = requests.get(f"https://doi.org/{doi}",
  • Network accessline 1440
    if doi != 'N/A':         bibtex = requests.get(f"https://doi.org/{doi}",                                headers={"Accept": "application/x-bibtex"}).text
  • Network accessline 1441
    bibtex = requests.get(f"https://doi.org/{doi}",
  • Network accessline 1618
    **Writing Philosophy:** - [Neel Nanda: How to Write ML Papers](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/highly-opinionated-advice-on-how-to-write-ml-papers)
  • Network accessline 1619
    - [Neel Nanda: How to Write ML Papers](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/highly-opinionated-advice-on-how-to-write-ml-papers)
  • Network accessline 1620
    - [Sebastian Farquhar: How to Write ML Papers](https://sebastianfarquhar.com/on-research/2024/11/04/how_to_write_ml_papers/)
  • Network accessline 1621
    - [Gopen & Swan: Science of Scientific Writing](https://cseweb.ucsd.edu/~swanson/papers/science-of-writing.pdf)
  • Network accessline 1622
    - [Lipton: Heuristics for Scientific Writing](https://www.approximatelycorrect.com/2018/01/29/heuristics-technical-scientific-writing-machine-learning-perspective/)
  • Network accessline 1623
    - [Perez: Easy Paper Writing Tips](https://ethanperez.net/easy-paper-writing-tips/)
  • Network accessline 1625
    **APIs:** [Semantic Scholar](https://api.semanticscholar.org/api-docs/) | [CrossRef](https://www.crossref.org/documentation/retrieve-metadata/rest-api/) | [arXiv](https://info.arxiv.org/help/api/basics.html)
  • Network accessline 1627
    **Venues:** [NeurIPS](https://neurips.cc/Conferences/2025/PaperInformation/StyleFiles) | [ICML](https://icml.cc/Conferences/2025/AuthorInstructions) | [ICLR](https://iclr.cc/Conferences/2026/AuthorGuide) | [ACL](https://github.com/acl-org/a

optional-skills/research/research-paper-writing/references/autoreason-methodology.md

  • Network accessline 5
    **Source**: [NousResearch/autoreason](https://github.com/NousResearch/autoreason) — "Autoreason: When Iterative LLM Refinement Works and Why It Fails"

optional-skills/research/research-paper-writing/references/citation-workflow.md

  • Network accessline 124
    # Check CrossRef (via DOI)     if doi:         resp = requests.get(f"https://api.crossref.org/works/{doi}")
  • Network accessline 125
    if doi:         resp = requests.get(f"https://api.crossref.org/works/{doi}")         if resp.status_code == 200:
  • Network accessline 126
    resp = requests.get(f"https://api.crossref.org/works/{doi}")
  • Network accessline 130
    # Check arXiv     if arxiv_id:         resp = requests.get(
  • Network accessline 131
    if arxiv_id:         resp = requests.get(             f"http://export.arxiv.org/api/query?id_list={arxiv_id}"
  • Network accessline 132
    resp = requests.get(
  • Network accessline 133
    f"http://export.arxiv.org/api/query?id_list={arxiv_id}"
  • Network accessline 148
    def doi_to_bibtex(doi: str) -> str:     """Get verified BibTeX from DOI via CrossRef content negotiation."""     response = requests.get(
  • Network accessline 149
    """Get verified BibTeX from DOI via CrossRef content negotiation."""     response = requests.get(         f"https://doi.org/{doi}",
  • Network accessline 150
    response = requests.get(
  • Network accessline 151
    f"https://doi.org/{doi}",
  • Access to secretsline 249
    [Credential-related source omitted]
  • Access to secretsline 250
    [Credential-related source omitted]
  • Network accessline 284
    if paper.doi:             try:                 resp = requests.get(
  • Network accessline 285
    try:                 resp = requests.get(                     f"https://api.crossref.org/works/{paper.doi}",
  • Network accessline 286
    resp = requests.get(
  • Network accessline 287
    f"https://api.crossref.org/works/{paper.doi}",
  • Network accessline 296
    if paper.arxiv_id:             try:                 resp = requests.get(
  • Network accessline 297
    try:                 resp = requests.get(                     f"http://export.arxiv.org/api/query?id_list={paper.arxiv_id}",
  • Network accessline 298
    resp = requests.get(
  • Network accessline 299
    f"http://export.arxiv.org/api/query?id_list={paper.arxiv_id}",
  • Network accessline 311
    if paper.doi:             try:                 resp = requests.get(
  • Network accessline 312
    try:                 resp = requests.get(                     f"https://doi.org/{paper.doi}",
  • Network accessline 313
    resp = requests.get(
  • Network accessline 314
    f"https://doi.org/{paper.doi}",
  • Network accessline 551
    **APIs:** - Semantic Scholar: https://api.semanticscholar.org/api-docs/
  • Network accessline 552
    - Semantic Scholar: https://api.semanticscholar.org/api-docs/
  • Network accessline 553
    - CrossRef: https://www.crossref.org/documentation/retrieve-metadata/rest-api/
  • Network accessline 554
    - arXiv: https://info.arxiv.org/help/api/basics.html
  • Network accessline 555
    - OpenAlex: https://docs.openalex.org/
  • Network accessline 557
    **Python Libraries:** - `semanticscholar`: https://pypi.org/project/semanticscholar/
  • Network accessline 558
    - `semanticscholar`: https://pypi.org/project/semanticscholar/
  • Network accessline 559
    - `arxiv`: https://pypi.org/project/arxiv/
  • Network accessline 560
    - `habanero` (CrossRef): https://github.com/sckott/habanero
  • Network accessline 562
    **Verification Tools:** - Citely: https://citely.ai/citation-checker
  • Network accessline 563
    - Citely: https://citely.ai/citation-checker
  • Network accessline 564
    - ReciteWorks: https://reciteworks.com/

optional-skills/research/research-paper-writing/references/phase5-paper-drafting.md

  • Network accessline 50
    This skill synthesizes writing philosophy from researchers who have published extensively at top venues. The writing philosophy layer was originally compiled by [Orchestra Research](https://github.com/orchestra-research) as the `ml-paper-wr
  • Network accessline 52
    | Source | Key Contribution | Link | |--------|-----------------|------| | **Neel Nanda** (Google DeepMind) | The Narrative Principle, What/Why/So What framework | [How to Write ML Papers](https://www.alignmentforum.org/posts/eJGptPbbFPZGLp
  • Network accessline 53
    |--------|-----------------|------| | **Neel Nanda** (Google DeepMind) | The Narrative Principle, What/Why/So What framework | [How to Write ML Papers](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/highly-opinionated-advice-on-how-
  • Network accessline 54
    | **Neel Nanda** (Google DeepMind) | The Narrative Principle, What/Why/So What framework | [How to Write ML Papers](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/highly-opinionated-advice-on-how-to-write-ml-papers) |
  • Network accessline 55
    | **Sebastian Farquhar** (DeepMind) | 5-sentence abstract formula | [How to Write ML Papers](https://sebastianfarquhar.com/on-research/2024/11/04/how_to_write_ml_papers/) |
  • Network accessline 56
    | **Gopen & Swan** | 7 principles of reader expectations | [Science of Scientific Writing](https://cseweb.ucsd.edu/~swanson/papers/science-of-writing.pdf) |
  • Network accessline 57
    | **Zachary Lipton** | Word choice, eliminating hedging | [Heuristics for Scientific Writing](https://www.approximatelycorrect.com/2018/01/29/heuristics-technical-scientific-writing-machine-learning-perspective/) |
  • Network accessline 58
    | **Jacob Steinhardt** (UC Berkeley) | Precision, consistent terminology | [Writing Tips](https://bounded-regret.ghost.io/) |
  • Network accessline 59
    | **Ethan Perez** (Anthropic) | Micro-level clarity tips | [Easy Paper Writing Tips](https://ethanperez.net/easy-paper-writing-tips/) |
  • Dangerous shell operationline 713
    # Linux: sudo apt install latexdiff

optional-skills/research/research-paper-writing/references/sources.md

  • Network accessline 9
    The writing philosophy, citation verification workflow, and conference reference materials in this skill were originally compiled by **[Orchestra Research](https://github.com/orchestra-research)** as the `ml-paper-writing` skill (January 20
  • Network accessline 17
    | Source | Author | URL | Key Contribution | |--------|--------|-----|------------------| | **Highly Opinionated Advice on How to Write ML Papers** | Neel Nanda | [Alignment Forum](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/high
  • Network accessline 18
    |--------|--------|-----|------------------| | **Highly Opinionated Advice on How to Write ML Papers** | Neel Nanda | [Alignment Forum](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/highly-opinionated-advice-on-how-to-write-ml-pape
  • Network accessline 19
    | **Highly Opinionated Advice on How to Write ML Papers** | Neel Nanda | [Alignment Forum](https://www.alignmentforum.org/posts/eJGptPbbFPZGLpjsp/highly-opinionated-advice-on-how-to-write-ml-papers) | Narrative framework, "What/Why/So What"
  • Network accessline 20
    | **How to Write ML Papers** | Sebastian Farquhar (DeepMind) | [Blog](https://sebastianfarquhar.com/on-research/2024/11/04/how_to_write_ml_papers/) | 5-sentence abstract formula, structure templates |
  • Network accessline 21
    | **A Survival Guide to a PhD** | Andrej Karpathy | [Blog](http://karpathy.github.io/2016/09/07/phd/) | Paper structure recipe, contribution framing |
  • Network accessline 22
    | **Heuristics for Scientific Writing** | Zachary Lipton (CMU) | [Blog](https://www.approximatelycorrect.com/2018/01/29/heuristics-technical-scientific-writing-machine-learning-perspective/) | Word choice, section balance, intensifier warni
  • Network accessline 23
    | **Advice for Authors** | Jacob Steinhardt (UC Berkeley) | [Blog](https://jsteinhardt.stat.berkeley.edu/blog/advice-for-authors) | Precision over brevity, consistent terminology |
  • Network accessline 24
    | **Easy Paper Writing Tips** | Ethan Perez (Anthropic) | [Blog](https://ethanperez.net/easy-paper-writing-tips/) | Micro-level tips, apostrophe unfolding, clarity tricks |
  • Network accessline 28
    | Source | Author | URL | Key Contribution | |--------|--------|-----|------------------| | **The Science of Scientific Writing** | Gopen & Swan | [PDF](https://cseweb.ucsd.edu/~swanson/papers/science-of-writing.pdf) | Topic/stress position
  • Network accessline 29
    |--------|--------|-----|------------------| | **The Science of Scientific Writing** | Gopen & Swan | [PDF](https://cseweb.ucsd.edu/~swanson/papers/science-of-writing.pdf) | Topic/stress positions, old-before-new, 7 principles | | **Summary
  • Network accessline 30
    | **The Science of Scientific Writing** | Gopen & Swan | [PDF](https://cseweb.ucsd.edu/~swanson/papers/science-of-writing.pdf) | Topic/stress positions, old-before-new, 7 principles |
  • Network accessline 31
    | **Summary of Science of Scientific Writing** | Lawrence Crowl | [Summary](https://www.crowl.org/Lawrence/writing/GopenSwan90.html) | Condensed version of Gopen & Swan |
  • Network accessline 35
    | Source | URL | Key Contribution | |--------|-----|------------------| | How To Write A Research Paper In ML | [Blog](https://grigorisg9gr.github.io/machine%20learning/research%20paper/how-to-write-a-research-paper-in-machine-learning/) | 
  • Network accessline 36
    |--------|-----|------------------| | How To Write A Research Paper In ML | [Blog](https://grigorisg9gr.github.io/machine%20learning/research%20paper/how-to-write-a-research-paper-in-machine-learning/) | Practical walkthrough, LaTeX tips | 
  • Network accessline 37
    | How To Write A Research Paper In ML | [Blog](https://grigorisg9gr.github.io/machine%20learning/research%20paper/how-to-write-a-research-paper-in-machine-learning/) | Practical walkthrough, LaTeX tips |
  • Network accessline 38
    | A Recipe for Training Neural Networks | [Karpathy Blog](http://karpathy.github.io/2019/04/25/recipe/) | Debugging methodology that translates to paper structure |
  • Network accessline 39
    | ICML Paper Writing Best Practices | [ICML](https://icml.cc/Conferences/2022/BestPractices) | Official venue guidance |
  • Network accessline 40
    | Bill Freeman's Writing Slides | [MIT](https://billf.mit.edu/sites/default/files/documents/cvprPapers.pdf) | Visual guide to paper structure |
  • Network accessline 48
    | Document | URL | Purpose | |----------|-----|---------| | Paper Checklist Guidelines | [NeurIPS](https://neurips.cc/public/guides/PaperChecklist) | 16-item mandatory checklist |
  • Network accessline 49
    |----------|-----|---------| | Paper Checklist Guidelines | [NeurIPS](https://neurips.cc/public/guides/PaperChecklist) | 16-item mandatory checklist | | Reviewer Guidelines 2025 | [NeurIPS](https://neurips.cc/Conferences/2025/ReviewerGuidel
  • Network accessline 50
    | Paper Checklist Guidelines | [NeurIPS](https://neurips.cc/public/guides/PaperChecklist) | 16-item mandatory checklist |
  • Network accessline 51
    | Reviewer Guidelines 2025 | [NeurIPS](https://neurips.cc/Conferences/2025/ReviewerGuidelines) | Evaluation criteria, scoring |
  • Network accessline 52
    | Style Files | [NeurIPS](https://neurips.cc/Conferences/2025/PaperInformation/StyleFiles) | LaTeX templates |
  • Network accessline 56
    | Document | URL | Purpose | |----------|-----|---------| | Paper Guidelines | [ICML](https://icml.cc/Conferences/2024/PaperGuidelines) | Submission requirements |
  • Network accessline 57
    |----------|-----|---------| | Paper Guidelines | [ICML](https://icml.cc/Conferences/2024/PaperGuidelines) | Submission requirements | | Reviewer Instructions 2025 | [ICML](https://icml.cc/Conferences/2025/ReviewerInstructions) | Review for
  • Network accessline 58
    | Paper Guidelines | [ICML](https://icml.cc/Conferences/2024/PaperGuidelines) | Submission requirements |
  • Network accessline 59
    | Reviewer Instructions 2025 | [ICML](https://icml.cc/Conferences/2025/ReviewerInstructions) | Review form, evaluation |
  • Network accessline 60
    | Style & Author Instructions | [ICML](https://icml.cc/Conferences/2022/StyleAuthorInstructions) | Formatting specifications |
  • Network accessline 64
    | Document | URL | Purpose | |----------|-----|---------| | Author Guide 2026 | [ICLR](https://iclr.cc/Conferences/2026/AuthorGuide) | Submission requirements, LLM disclosure |
  • Network accessline 65
    |----------|-----|---------| | Author Guide 2026 | [ICLR](https://iclr.cc/Conferences/2026/AuthorGuide) | Submission requirements, LLM disclosure | | Reviewer Guide 2025 | [ICLR](https://iclr.cc/Conferences/2025/ReviewerGuide) | Review proc
  • Network accessline 66
    | Author Guide 2026 | [ICLR](https://iclr.cc/Conferences/2026/AuthorGuide) | Submission requirements, LLM disclosure |
  • Network accessline 67
    | Reviewer Guide 2025 | [ICLR](https://iclr.cc/Conferences/2025/ReviewerGuide) | Review process, evaluation |
  • Network accessline 71
    | Document | URL | Purpose | |----------|-----|---------| | ACL Style Files | [GitHub](https://github.com/acl-org/acl-style-files) | LaTeX templates |
  • Network accessline 72
    |----------|-----|---------| | ACL Style Files | [GitHub](https://github.com/acl-org/acl-style-files) | LaTeX templates | | ACL Rolling Review | [ARR](https://aclrollingreview.org/) | Submission process |
  • Network accessline 73
    | ACL Style Files | [GitHub](https://github.com/acl-org/acl-style-files) | LaTeX templates |
  • Network accessline 74
    | ACL Rolling Review | [ARR](https://aclrollingreview.org/) | Submission process |
  • Network accessline 78
    | Document | URL | Purpose | |----------|-----|---------| | Author Kit 2026 | [AAAI](https://aaai.org/authorkit26/) | Templates and guidelines |
  • Network accessline 80
    | Author Kit 2026 | [AAAI](https://aaai.org/authorkit26/) | Templates and guidelines |
  • Network accessline 84
    | Document | URL | Purpose | |----------|-----|---------| | Template | [GitHub](https://github.com/COLM-org/Template) | LaTeX templates |
  • Network accessline 86
    | Template | [GitHub](https://github.com/COLM-org/Template) | LaTeX templates |
  • Network accessline 94
    | API | Documentation | Best For | |-----|---------------|----------| | **Semantic Scholar** | [Docs](https://api.semanticscholar.org/api-docs/) | ML/AI papers, citation graphs |
  • Network accessline 95
    |-----|---------------|----------| | **Semantic Scholar** | [Docs](https://api.semanticscholar.org/api-docs/) | ML/AI papers, citation graphs | | **CrossRef** | [Docs](https://www.crossref.org/documentation/retrieve-metadata/rest-api/) | DO
  • Network accessline 96
    | **Semantic Scholar** | [Docs](https://api.semanticscholar.org/api-docs/) | ML/AI papers, citation graphs |
  • Network accessline 97
    | **CrossRef** | [Docs](https://www.crossref.org/documentation/retrieve-metadata/rest-api/) | DOI lookup, BibTeX retrieval |
  • Network accessline 98
    | **arXiv** | [Docs](https://info.arxiv.org/help/api/basics.html) | Preprints, PDF access |
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    | **OpenAlex** | [Docs](https://docs.openalex.org/) | Open alternative, bulk access |
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    | Tool | URL | Purpose | |------|-----|---------| | Citely | [citely.ai](https://citely.ai/citation-checker) | Batch verification |
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    |------|-----|---------| | Citely | [citely.ai](https://citely.ai/citation-checker) | Batch verification | | ReciteWorks | [reciteworks.com](https://reciteworks.com/) | In-text citation checking |
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    | Citely | [citely.ai](https://citely.ai/citation-checker) | Batch verification |
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    | ReciteWorks | [reciteworks.com](https://reciteworks.com/) | In-text citation checking |
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    | Tool | URL | Purpose | |------|-----|---------| | PlotNeuralNet | [GitHub](https://github.com/HarisIqbal88/PlotNeuralNet) | TikZ neural network diagrams |
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    |------|-----|---------| | PlotNeuralNet | [GitHub](https://github.com/HarisIqbal88/PlotNeuralNet) | TikZ neural network diagrams | | SciencePlots | [GitHub](https://github.com/garrettj403/SciencePlots) | Publication-ready matplotlib |
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    | PlotNeuralNet | [GitHub](https://github.com/HarisIqbal88/PlotNeuralNet) | TikZ neural network diagrams |
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    | SciencePlots | [GitHub](https://github.com/garrettj403/SciencePlots) | Publication-ready matplotlib |
  • Network accessline 126
    | Okabe-Ito Palette | [Reference](https://jfly.uni-koeln.de/color/) | Colorblind-safe colors |
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    | Resource | URL | Purpose | |----------|-----|---------| | Overleaf Templates | [Overleaf](https://www.overleaf.com/latex/templates) | Online LaTeX editor |
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    |----------|-----|---------| | Overleaf Templates | [Overleaf](https://www.overleaf.com/latex/templates) | Online LaTeX editor | | BibLaTeX Guide | [CTAN](https://ctan.org/pkg/biblatex) | Modern citation management |
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    | Overleaf Templates | [Overleaf](https://www.overleaf.com/latex/templates) | Online LaTeX editor |
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    | BibLaTeX Guide | [CTAN](https://ctan.org/pkg/biblatex) | Modern citation management |
  • Network accessline 139
    | Source | URL | Key Finding | |--------|-----|-------------| | AI Hallucinations in Citations | [Enago](https://www.enago.com/academy/ai-hallucinations-research-citations/) | ~40% error rate |
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    |--------|-----|-------------| | AI Hallucinations in Citations | [Enago](https://www.enago.com/academy/ai-hallucinations-research-citations/) | ~40% error rate | | Hallucination in AI Writing | [PMC](https://pmc.ncbi.nlm.nih.gov/articles/P
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    | AI Hallucinations in Citations | [Enago](https://www.enago.com/academy/ai-hallucinations-research-citations/) | ~40% error rate |
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    | Hallucination in AI Writing | [PMC](https://pmc.ncbi.nlm.nih.gov/articles/PMC10726751/) | Types of citation errors |
  • Network accessline 143
    | NeurIPS 2025 AI Report | [ByteIota](https://byteiota.com/neurips-2025-100-ai-hallucinations-slip-through-review/) | 100+ hallucinated citations |
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    | Source | URL | Key Contribution | |--------|-----|------------------| | **Datasheets for Datasets** | Gebru et al., 2021 ([arXiv](https://arxiv.org/abs/1803.09010)) | Structured dataset documentation framework |
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    |--------|-----|------------------| | **Datasheets for Datasets** | Gebru et al., 2021 ([arXiv](https://arxiv.org/abs/1803.09010)) | Structured dataset documentation framework | | **Model Cards for Model Reporting** | Mitchell et al., 2019 
  • Network accessline 179
    | **Datasheets for Datasets** | Gebru et al., 2021 ([arXiv](https://arxiv.org/abs/1803.09010)) | Structured dataset documentation framework |
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    | **Model Cards for Model Reporting** | Mitchell et al., 2019 ([arXiv](https://arxiv.org/abs/1810.03993)) | Structured model documentation framework |
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    | **Crowdsourcing and Human Computation** | [Survey](https://arxiv.org/abs/2202.06516) | Best practices for crowdsourced annotation |
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    | **Krippendorff's Alpha** | [Wikipedia](https://en.wikipedia.org/wiki/Krippendorff%27s_alpha) | Inter-annotator agreement metric reference |
  • Network accessline 183
    | **Prolific** | [prolific.co](https://www.prolific.co/) | Recommended crowdsourcing platform for research |
  • Network accessline 187
    | Source | URL | Key Contribution | |--------|-----|------------------| | **ML CO2 Impact** | [mlco2.github.io](https://mlco2.github.io/impact/) | Compute carbon footprint calculator |
  • Network accessline 188
    |--------|-----|------------------| | **ML CO2 Impact** | [mlco2.github.io](https://mlco2.github.io/impact/) | Compute carbon footprint calculator | | **NeurIPS Broader Impact Guide** | [NeurIPS](https://neurips.cc/public/guides/PaperCheckl
  • Network accessline 189
    | **ML CO2 Impact** | [mlco2.github.io](https://mlco2.github.io/impact/) | Compute carbon footprint calculator |
  • Network accessline 190
    | **NeurIPS Broader Impact Guide** | [NeurIPS](https://neurips.cc/public/guides/PaperChecklist) | Official guidance on impact statements |
  • Network accessline 191
    | **ACL Ethics Policy** | [ACL](https://www.aclweb.org/portal/content/acl-code-ethics) | Ethics requirements for NLP research |

optional-skills/research/research-paper-writing/templates/README.md

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    **Setup:** 1. Install [TeX Live](https://www.tug.org/texlive/) (full distribution recommended)
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    1. Install [TeX Live](https://www.tug.org/texlive/) (full distribution recommended)
  • Network accessline 13
    - macOS: `brew install --cask mactex`    - Ubuntu: `sudo apt install texlive-full`    - Windows: Download from [tug.org/texlive](https://www.tug.org/texlive/)
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    - Ubuntu: `sudo apt install texlive-full`
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    - Windows: Download from [tug.org/texlive](https://www.tug.org/texlive/)
  • Network accessline 62
    1. Go to [overleaf.com](https://www.overleaf.com)
  • Network accessline 108
    | Conference | Directory | Year | Source | |------------|-----------|------|--------| | ICML | `icml2026/` | 2026 | [Official ICML](https://icml.cc/Conferences/2026/AuthorInstructions) |
  • Network accessline 109
    |------------|-----------|------|--------| | ICML | `icml2026/` | 2026 | [Official ICML](https://icml.cc/Conferences/2026/AuthorInstructions) | | ICLR | `iclr2026/` | 2026 | [Official GitHub](https://github.com/ICLR/Master-Template) |
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    | ICML | `icml2026/` | 2026 | [Official ICML](https://icml.cc/Conferences/2026/AuthorInstructions) |
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    | ICLR | `iclr2026/` | 2026 | [Official GitHub](https://github.com/ICLR/Master-Template) |
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    | NeurIPS | `neurips2025/` | 2025 | Community template | | ACL | `acl/` | 2025+ | [Official ACL](https://github.com/acl-org/acl-style-files) | | AAAI | `aaai2026/` | 2026 | [AAAI Author Kit](https://aaai.org/authorkit26/) |
  • Network accessline 113
    | ACL | `acl/` | 2025+ | [Official ACL](https://github.com/acl-org/acl-style-files) |
  • Network accessline 114
    | AAAI | `aaai2026/` | 2026 | [AAAI Author Kit](https://aaai.org/authorkit26/) |
  • Network accessline 115
    | COLM | `colm2025/` | 2025 | [Official COLM](https://github.com/COLM-org/Template) |
  • Network accessline 246
    - ICML: https://icml.cc/
  • Network accessline 247
    - ICLR: https://iclr.cc/
  • Network accessline 248
    - NeurIPS: https://neurips.cc/
  • Network accessline 249
    - ACL: https://github.com/acl-org/acl-style-files
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    - AAAI: https://aaai.org/
  • Network accessline 251
    - COLM: https://colmweb.org/

optional-skills/research/research-paper-writing/templates/aaai2026/README.md

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    **📖 在线阅读和测试模板**: [https://cn.overleaf.com/read/wyhcnvcrtpyt#cd4a07](https://cn.overleaf.com/read/wyhcnvcrtpyt#cd4a07)
  • Network accessline 15
    **📖 Online View and Test Template**: [https://cn.overleaf.com/read/wyhcnvcrtpyt#cd4a07](https://cn.overleaf.com/read/wyhcnvcrtpyt#cd4a07)

optional-skills/research/research-paper-writing/templates/aaai2026/aaai2026-unified-supp.tex

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    Written by AAAI Press Staff\textsuperscript{\rm 1}\thanks{With help from the AAAI Publications Committee.}\\
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    \textsuperscript{\rm 1}Association for the Advancement of Artificial Intelligence\\

optional-skills/research/research-paper-writing/templates/aaai2026/aaai2026-unified-template.tex

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    Written by AAAI Press Staff\textsuperscript{\rm 1}\thanks{With help from the AAAI Publications Committee.}\\
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    \textsuperscript{\rm 1}Association for the Advancement of Artificial Intelligence\\
  • Dangerous shell operationline 137
    % Sunil Issar\textsuperscript{\rm 2},
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    % J. Scott Penberthy\textsuperscript{\rm 3},
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    % George Ferguson\textsuperscript{\rm 4},
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    % Hans Guesgen\textsuperscript{\rm 5}
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    First Author Name\textsuperscript{\rm 1},
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    Second Author Name\textsuperscript{\rm 2},
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    Third Author Name\textsuperscript{\rm 1}
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    \textsuperscript{\rm 1}Affiliation 1\\
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    \textsuperscript{\rm 2}Affiliation 2\\
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    % NOTE: For anonymous submissions, do not include links that could reveal your identity % \begin{links} %     \link{Code}{https://aaai.org/example/code}
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    % \begin{links} %     \link{Code}{https://aaai.org/example/code} %     \link{Datasets}{https://aaai.org/example/datasets}
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    %     \link{Code}{https://aaai.org/example/code}
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    %     \link{Datasets}{https://aaai.org/example/datasets}
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    %     \link{Extended version}{https://aaai.org/example/extended-version}
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    % You must keep this block between (not within) the abstract and the main body of the paper. \begin{links}     \link{Code}{https://aaai.org/example/code}
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    \begin{links}     \link{Code}{https://aaai.org/example/code}     \link{Datasets}{https://aaai.org/example/datasets}
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    \link{Code}{https://aaai.org/example/code}
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    \link{Datasets}{https://aaai.org/example/datasets}
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    \link{Extended version}{https://aaai.org/example/extended-version}
  • Network accessline 405
    \begin{scriptsize}\begin{verbatim} \begin{links}   \link{Code}{https://aaai.org/example/guidelines}
  • Network accessline 406
    \begin{links}   \link{Code}{https://aaai.org/example/guidelines}   \link{Datasets}{https://aaai.org/example/datasets}
  • Network accessline 407
    \link{Code}{https://aaai.org/example/guidelines}
  • Network accessline 408
    \link{Datasets}{https://aaai.org/example/datasets}
  • Network accessline 409
    \link{Extended version}{https://aaai.org/example}
  • Network accessline 525
    \subsubsection{Obtaining Type 1 Computer Modern for \LaTeX{}.} If you use Computer Modern for the mathematics in your paper (you cannot use it for the text) you may need to download type 1 Computer fonts. They are available without charge f
  • Network accessline 527
    http://www.ams.org/tex/type1-fonts.html.
  • Network accessline 532
    \subsection{Title and Authors} Your title must appear centered over both text columns in sixteen-point bold type (twenty-four point leading). The title must be written in Title Case capitalization rules (not sentence case). The rules are a 
  • Network accessline 533
    Your title must appear centered over both text columns in sixteen-point bold type (twenty-four point leading). The title must be written in Title Case capitalization rules (not sentence case). The rules are a bit involved, but in general ve
  • Dangerous shell operationline 551
    \noindent For authors from different institutions, use \textbackslash textsuperscript \{\textbackslash rm x \} to match authors and affiliations. Notice that there should not be any spaces between the author name (or comma following it) and
  • Dangerous shell operationline 555
    AuthorOne\equalcontrib\textsuperscript{\rm 1,\rm 2},
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    AuthorTwo\equalcontrib\textsuperscript{\rm 2},
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    AuthorThree\textsuperscript{\rm 3},\\
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    AuthorFour\textsuperscript{\rm 4},
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    AuthorFive \textsuperscript{\rm 5}}
  • Dangerous shell operationline 562
    \textsuperscript{\rm 1}AffiliationOne,\\
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    \textsuperscript{\rm 2}AffiliationTwo,\\
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    \textsuperscript{\rm 3}AffiliationThree,\\
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    \textsuperscript{\rm 4}AffiliationFour,\\
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    \textsuperscript{\rm 5}AffiliationFive\\
  • Network accessline 849
    @misc(key,   [...]   howpublished="\url{http://...}",
  • Network accessline 850
    [...]   howpublished="\url{http://...}",   note="Accessed: YYYY-mm-dd",
  • Network accessline 851
    howpublished="\url{http://...}",
  • Network accessline 859
    \vspace{.2em} For the most up to date version of the AAAI reference style, please consult the \textit{AI Magazine} Author Guidelines at \url{https://aaai.org/ojs/index.php/aimagazine/about/submissions#authorGuidelines}
  • Network accessline 860
    For the most up to date version of the AAAI reference style, please consult the \textit{AI Magazine} Author Guidelines at \url{https://aaai.org/ojs/index.php/aimagazine/about/submissions#authorGuidelines}

optional-skills/research/research-paper-writing/templates/aaai2026/aaai2026.bib

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    publisher = {American Association for the Advancement of Science},   issn = {0036-8075},   URL = {https://science.sciencemag.org/content/208/4447/1019},
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    issn = {0036-8075},   URL = {https://science.sciencemag.org/content/208/4447/1019},   eprint = {https://science.sciencemag.org/content/208/4447/1019.full.pdf},
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    URL = {https://science.sciencemag.org/content/208/4447/1019},
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    eprint = {https://science.sciencemag.org/content/208/4447/1019.full.pdf},
  • Network accessline 58
    year = {1984}, issn = {0020-7373}, doi = {https://doi.org/10.1016/S0020-7373(84)80003-6},
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    issn = {0020-7373}, doi = {https://doi.org/10.1016/S0020-7373(84)80003-6}, url = {https://www.sciencedirect.com/science/article/pii/S0020737384800036},
  • Network accessline 60
    doi = {https://doi.org/10.1016/S0020-7373(84)80003-6},
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    url = {https://www.sciencedirect.com/science/article/pii/S0020737384800036},
  • Network accessline 106
    title        = "Pluto: The 'Other' Red Planet",   author       = "{NASA}",   howpublished = "\url{https://www.nasa.gov/nh/pluto-the-other-red-planet}",
  • Network accessline 107
    author       = "{NASA}",   howpublished = "\url{https://www.nasa.gov/nh/pluto-the-other-red-planet}",   year         = 2015,
  • Network accessline 108
    howpublished = "\url{https://www.nasa.gov/nh/pluto-the-other-red-planet}",

optional-skills/research/research-paper-writing/templates/aaai2026/aaai2026.sty

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    \@ifpackageloaded{bbm}%     {%       \PackageError{aaai}{You must not use bbm package in AAAI papers because it introduces Type 3 fonts which are forbidden.}{See https://tex.stackexchange.com/questions/479160/a-replacement-to-mathbbm1-with-
  • Network accessline 242
    {%       \PackageError{aaai}{You must not use bbm package in AAAI papers because it introduces Type 3 fonts which are forbidden.}{See https://tex.stackexchange.com/questions/479160/a-replacement-to-mathbbm1-with-type-1-fonts for possible al
  • Network accessline 243
    \PackageError{aaai}{You must not use bbm package in AAAI papers because it introduces Type 3 fonts which are forbidden.}{See https://tex.stackexchange.com/questions/479160/a-replacement-to-mathbbm1-with-type-1-fonts for possible alternative

optional-skills/research/research-paper-writing/templates/acl/README.md

  • Network accessline 12
    - as an [Overleaf template](https://www.overleaf.com/latex/templates/association-for-computational-linguistics-acl-conference/jvxskxpnznfj)
  • Network accessline 14
    - as a [.zip file](https://github.com/acl-org/acl-style-files/archive/refs/heads/master.zip)
  • Network accessline 16
    Please see [`acl_latex.tex`](https://github.com/acl-org/acl-style-files/blob/master/acl_latex.tex) for an example.
  • Network accessline 21
    - [Paper formatting guidelines](https://acl-org.github.io/ACLPUB/formatting.html)
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    - git pull from github to a local repository - then, git push from your local repository to overleaf project      - Overleaf project is https://www.overleaf.com/project/5f64f1fb97c4c50001b60549
  • Network accessline 47
    - then, git push from your local repository to overleaf project      - Overleaf project is https://www.overleaf.com/project/5f64f1fb97c4c50001b60549     - Overleaf git url is https://git.overleaf.com/5f64f1fb97c4c50001b60549
  • Network accessline 48
    - Overleaf project is https://www.overleaf.com/project/5f64f1fb97c4c50001b60549
  • Network accessline 49
    - Overleaf git url is https://git.overleaf.com/5f64f1fb97c4c50001b60549

optional-skills/research/research-paper-writing/templates/acl/acl.sty

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    % The official sources can be found at % %     https://github.com/acl-org/acl-style-files/
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    % %     https://github.com/acl-org/acl-style-files/ %
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    %     https://github.com/acl-org/acl-style-files/
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    \ifacl@linenumbers   % Add draft line numbering via the lineno package   % https://texblog.org/2012/02/08/adding-line-numbers-to-documents/
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    % Add draft line numbering via the lineno package   % https://texblog.org/2012/02/08/adding-line-numbers-to-documents/   \usepackage[switch,mathlines]{lineno}
  • Network accessline 37
    % https://texblog.org/2012/02/08/adding-line-numbers-to-documents/
  • Network accessline 61
    % Patch amsmath commands so that the previous line and the equation itself   % are numbered. Bug: multline has an extra line number.   % https://tex.stackexchange.com/questions/461186/how-to-use-lineno-with-amsmath-align
  • Network accessline 62
    % are numbered. Bug: multline has an extra line number.   % https://tex.stackexchange.com/questions/461186/how-to-use-lineno-with-amsmath-align   \usepackage{etoolbox} %% <- for \pretocmd, \apptocmd and \patchcmd
  • Network accessline 63
    % https://tex.stackexchange.com/questions/461186/how-to-use-lineno-with-amsmath-align

optional-skills/research/research-paper-writing/templates/acl/acl_latex.tex

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    % For Vietnamese characters % \usepackage[T5]{fontenc} % See https://www.latex-project.org/help/documentation/encguide.pdf for other character sets
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    % See https://www.latex-project.org/help/documentation/encguide.pdf for other character sets
  • Network accessline 117
    These instructions are for authors submitting papers to *ACL conferences using \LaTeX. They are not self-contained. All authors must follow the general instructions for *ACL proceedings,\footnote{\url{http://acl-org.github.io/ACLPUB/formatt
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    You can obtain the complete ACL Anthology as a Bib\TeX{} file from \url{https://aclweb.org/anthology/anthology.bib.gz}.

optional-skills/research/research-paper-writing/templates/acl/acl_natbib.bst

  • Network accessline 1
    %%% Modification of BibTeX style file acl_natbib_nourl.bst %%% ... by urlbst, version 0.9.1 (marked with "% urlbst") %%% See <https://purl.org/nxg/dist/urlbst> and repository <https://heptapod.host/nxg/urlbst>
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    %%% ... by urlbst, version 0.9.1 (marked with "% urlbst") %%% See <https://purl.org/nxg/dist/urlbst> and repository <https://heptapod.host/nxg/urlbst> %%% Modifications Copyright 2002–23, Norman Gray,
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    %%% See <https://purl.org/nxg/dist/urlbst> and repository <https://heptapod.host/nxg/urlbst>
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    "online" 'onlinestring :=	% label that a resource is online   "[link]" 'linktextstring :=	% anonymous link text   "http://www.ncbi.nlm.nih.gov/pubmed/" 'pubmedurl :=	% prefix to make URL from PUBMED
  • Network accessline 126
    "[link]" 'linktextstring :=	% anonymous link text   "http://www.ncbi.nlm.nih.gov/pubmed/" 'pubmedurl :=	% prefix to make URL from PUBMED   "https://doi.org/" 'doiurl :=	% prefix to make URL from DOI
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    "http://www.ncbi.nlm.nih.gov/pubmed/" 'pubmedurl :=	% prefix to make URL from PUBMED
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    "https://doi.org/" 'doiurl :=	% prefix to make URL from DOI
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    "doi:" 'doiprefix :=	% printed text to introduce DOI   "https://arxiv.org/abs/" 'eprinturl :=	% prefix to make URL from eprint ref   "cited " 'citedstring :=	% label in "lastchecked" remark
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    "https://arxiv.org/abs/" 'eprinturl :=	% prefix to make URL from eprint ref
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    { doi empty$     { "" }     { doi parse.doi % leaves "https://doi.org/DOI" DOI on the stack
  • Network accessline 1192
    { "" }     { doi parse.doi % leaves "https://doi.org/DOI" DOI on the stack       's := 't :=
  • Network accessline 1193
    { doi parse.doi % leaves "https://doi.org/DOI" DOI on the stack
  • Network accessline 1231
    % then don't print the URL (thanks to Joseph Wright       % for (the original version of) this code,       % at http://tex.stackexchange.com/questions/5660)
  • Network accessline 1232
    % for (the original version of) this code,       % at http://tex.stackexchange.com/questions/5660)       adddoi
  • Network accessline 1233
    % at http://tex.stackexchange.com/questions/5660)
  • Network accessline 1287
    % author, note, year, month, and lastchecked fields optional % See references %   ISO 690-2 http://www.nlc-bnc.ca/iso/tc46sc9/standard/690-2e.htm
  • Network accessline 1288
    % See references %   ISO 690-2 http://www.nlc-bnc.ca/iso/tc46sc9/standard/690-2e.htm %   http://www.classroom.net/classroom/CitingNetResources.html
  • Network accessline 1289
    %   ISO 690-2 http://www.nlc-bnc.ca/iso/tc46sc9/standard/690-2e.htm
  • Network accessline 1290
    %   http://www.classroom.net/classroom/CitingNetResources.html
  • Network accessline 1291
    %   http://neal.ctstateu.edu/history/cite.html
  • Network accessline 1292
    %   http://www.cas.usf.edu/english/walker/mla.html

optional-skills/research/research-paper-writing/templates/acl/anthology.bib.txt

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    For example, https://aclanthology.org/N04-1035 can be cited as \cite{galley-etal-2004-whats}.
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    The consolidated file can be downloaded from here: - https://aclanthology.org/anthology.bib
  • Network accessline 13
    - https://aclanthology.org/anthology.bib
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    There are currently (2025) two files: - https://aclanthology.org/anthology-1.bib
  • Network accessline 20
    - https://aclanthology.org/anthology-1.bib
  • Network accessline 21
    - https://aclanthology.org/anthology-2.bib

optional-skills/research/research-paper-writing/templates/acl/custom.bib

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    volume    = {arXiv:1503.06733},     year      = {2015},     url       = {http://arxiv.org/abs/1503.06733},
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    year      = {2015},     url       = {http://arxiv.org/abs/1503.06733},     note    = {version 2}
  • Network accessline 53
    url       = {http://arxiv.org/abs/1503.06733},

optional-skills/research/research-paper-writing/templates/acl/formatting.md

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    > https://acl-org.github.io/ACLPUB/
  • Network accessline 132
    Long titles should be typed on two lines without a blank line intervening. Put the title 2.5 cm from the top of the page. Write the title in [title case](https://apastyle.apa.org/style-grammar-guidelines/capitalization/title-case); do not w
  • Network accessline 134
    Write the title in [title case](https://apastyle.apa.org/style-grammar-guidelines/capitalization/title-case); do not write the title in all capital letters, except for acronyms (e.g., "BLEU") or proper nouns ("English") that are normally up
  • Network accessline 252
    Provide as complete a citation as possible, using a consistent format, such as the [one for Computational Linguistics](http://cljournal.org/style_guide_refs.html) or the one in the [Publication Manual of the American Psychological Associati
  • Network accessline 258
    All references are required to contain DOIs of all cited works when possible, or, as a second resort, links to ACL Anthology pages. Appropriate records should be found for most materials in the current [ACL Anthology](https://aclweb.org/ant
  • Network accessline 259
    Appropriate records should be found for most materials in the current [ACL Anthology](https://aclweb.org/anthology/).
  • Network accessline 263
    > Rie Kubota Ando and Tong Zhang. 2005. [A framework for learning predictive structures from multiple tasks and unlabeled data](https://www.jmlr.org/papers/v6/ando05a.html). *Journal of Machine Learning Research*, 6:1817–1853.
  • Network accessline 267
    > Galen Andrew and Jianfeng Gao. 2007. [Scalable training of L1-regularized log-linear models](https://doi.org/10.1145/1273496.1273501). In *Proceedings of the 24th International Conference on Machine Learning*, pages 33–40.
  • Network accessline 271
    > James Goodman, Andreas Vlachos, and Jason Naradowsky. 2016. [Noise reduction and targeted exploration in imitation learning for Abstract Meaning Representation parsing](http://dx.doi.org/10.18653/v1/P16-1001). In *Proceedings of the 54th 
  • Network accessline 275
    > Benjamin Börschinger and Mark Johnson. 2011. [A particle filter algorithm for Bayesian word segmentation](https://www.aclweb.org/anthology/U11-1004/). In *Proceedings of the Australasian Language Technology Association Workshop 2011*, pag
  • Network accessline 279
    > Mohammad Sadegh Rasooli and Joel R. Tetreault. 2015. [Yara parser: A fast and accurate dependency parser](http://arxiv.org/abs/1503.06733). *Computing Research Repository*, arXiv:1503.06733. Version 2.

optional-skills/research/research-paper-writing/templates/colm2025/colm2025_conference.bib

  • Network accessline 5
    publisher = {Curran Associates, Inc.},  title = {Attention is All you Need},  url = {https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf},
  • Network accessline 6
    title = {Attention is All you Need},  url = {https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf},  volume = {30},
  • Network accessline 7
    url = {https://proceedings.neurips.cc/paper_files/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf},

optional-skills/research/research-paper-writing/templates/colm2025/colm2025_conference.tex

  • Network accessline 71
    COLM requires electronic submissions, processed by \url{https://openreview.net/}. See COLM's website for more instructions.
  • Network accessline 72
    \url{https://openreview.net/}. See COLM's website for more instructions.
  • Network accessline 102
    The style files for COLM and other conference information are available online at: \begin{center}    \url{http://www.colmweb.org/}
  • Network accessline 103
    \begin{center}    \url{http://www.colmweb.org/} \end{center}
  • Network accessline 104
    \url{http://www.colmweb.org/}
  • Network accessline 143
    We strongly recommend following arXiv's guidelines for making your paper friendly for HTML conversion: \url{https://info.arxiv.org/help/submit_latex_best_practices.html}.
  • Network accessline 277
    \end{verbatim} for .pdf graphics. See section~4.4 in the graphics bundle documentation (\url{http://www.ctan.org/tex-archive/macros/latex/required/graphics/grfguide.ps})
  • Network accessline 279
    See section~4.4 in the graphics bundle documentation (\url{http://www.ctan.org/tex-archive/macros/latex/required/graphics/grfguide.ps})

optional-skills/research/research-paper-writing/templates/colm2025/math_commands.tex

  • Dangerous shell operationline 82
    % rm is already a command, just don't name any random variables m

optional-skills/research/research-paper-writing/templates/iclr2026/iclr2026_conference.tex

  • Network accessline 5
    % Optional math commands from https://github.com/goodfeli/dlbook_notation.
  • Network accessline 65
    ICLR requires electronic submissions, processed by \url{https://openreview.net/}. See ICLR's website for more instructions.
  • Network accessline 66
    \url{https://openreview.net/}. See ICLR's website for more instructions.
  • Network accessline 93
    The style files for ICLR and other conference information are available online at: \begin{center}    \url{http://www.iclr.cc/}
  • Network accessline 94
    \begin{center}    \url{http://www.iclr.cc/} \end{center}
  • Network accessline 95
    \url{http://www.iclr.cc/}
  • Network accessline 230
    notation file from the textbook, \textit{Deep Learning} \cite{goodfellow2016deep} available at \url{https://github.com/goodfeli/dlbook_notation/}.  Use of this style
  • Network accessline 231
    \cite{goodfellow2016deep} available at \url{https://github.com/goodfeli/dlbook_notation/}.  Use of this style is not required and can be disabled by commenting out
  • Network accessline 232
    \url{https://github.com/goodfeli/dlbook_notation/}.  Use of this style
  • Network accessline 390
    \end{verbatim} for .pdf graphics. See section~4.4 in the graphics bundle documentation (\url{http://www.ctan.org/tex-archive/macros/latex/required/graphics/grfguide.ps})
  • Network accessline 392
    See section~4.4 in the graphics bundle documentation (\url{http://www.ctan.org/tex-archive/macros/latex/required/graphics/grfguide.ps})

optional-skills/research/research-paper-writing/templates/iclr2026/math_commands.tex

  • Dangerous shell operationline 82
    % rm is already a command, just don't name any random variables m

optional-skills/research/research-paper-writing/templates/icml2026/example_paper.tex

  • Network accessline 136
    are available on the conference web site at: \begin{center}   \texttt{http://icml.cc/}
  • Network accessline 137
    \begin{center}   \texttt{http://icml.cc/} \end{center}
  • Network accessline 138
    \texttt{http://icml.cc/}
  • Network accessline 572
    for everyone including people with disabilities and sensory or neurological differences. Tips of how to achieve this and what to pay attention to will be provided on the conference website \url{http://icml.cc/}.
  • Network accessline 574
    provided on the conference website \url{http://icml.cc/}.

optional-skills/research/research-paper-writing/templates/icml2026/fancyhdr.sty

  • Network accessline 14
    %% license is in: %%  %%    http://www.latex-project.org/lppl.txt
  • Network accessline 15
    %%  %%    http://www.latex-project.org/lppl.txt %%
  • Network accessline 16
    %%    http://www.latex-project.org/lppl.txt

optional-skills/research/research-paper-writing/templates/neurips2025/Makefile

  • Executable scriptline 1
    Executable file
  • Network accessline 32
    upgrade: 	curl -O https://media.neurips.cc/Conferences/NeurIPS$(YEAR)/Styles.zip
  • Network accessline 33
    curl -O https://media.neurips.cc/Conferences/NeurIPS$(YEAR)/Styles.zip

optional-skills/research/rss-feeds/SKILL.md

  • Network accessline 41
    python3 scripts/feed.py read https://hnrss.org/frontpage --limit 10
  • Network accessline 42
    python3 scripts/feed.py read https://simonwillison.net/            # page URL → discovers the feed
  • Network accessline 44
    python3 scripts/feed.py discover https://example.com/               # list candidate feed URLs
  • Network accessline 49
    | Source | Feed URL pattern | |---|---| | GitHub releases / commits / tags | `https://github.com/OWNER/REPO/releases.atom`, `…/commits/BRANCH.atom`, `…/tags.atom` |
  • Network accessline 50
    |---|---| | GitHub releases / commits / tags | `https://github.com/OWNER/REPO/releases.atom`, `…/commits/BRANCH.atom`, `…/tags.atom` | | Subreddit / Reddit search | `https://www.reddit.com/r/NAME/.rss`, `https://www.reddit.com/search.rss?q=
  • Network accessline 51
    | GitHub releases / commits / tags | `https://github.com/OWNER/REPO/releases.atom`, `…/commits/BRANCH.atom`, `…/tags.atom` |
  • Network accessline 52
    | Subreddit / Reddit search | `https://www.reddit.com/r/NAME/.rss`, `https://www.reddit.com/search.rss?q=…` (1 req/min anon; see `reddit-reading`) |
  • Network accessline 53
    | YouTube channel | `https://www.youtube.com/feeds/videos.xml?channel_id=UC…` |
  • Network accessline 54
    | Hacker News | `https://hnrss.org/frontpage`, `https://hnrss.org/newest?q=TERM` |
  • Network accessline 55
    | arXiv category | `https://rss.arxiv.org/rss/cs.CL` |
  • Network accessline 94
    `python3 scripts/feed.py read https://github.com/NousResearch/hermes-agent/releases.atom
  • Network accessline 96
    `discover https://simonwillison.net/` prints an `/atom/` URL.

optional-skills/research/rss-feeds/scripts/feed.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 7
    python3 feed.py read https://example.com/feed.xml [--limit N] [--since 2026-09-01]
  • Network accessline 8
    python3 feed.py discover https://example.com/
  • Network accessline 9
    python3 feed.py read https://example.com/  ->  discovers, then reads the first feed
  • Network accessline 26
    USER_AGENT = "hermes-agent/1.0 (rss-feeds skill; +https://github.com/NousResearch/hermes-agent)"
  • Network accessline 27
    TIMEOUT = 20 NS = {     "atom": "http://www.w3.org/2005/Atom",
  • Network accessline 28
    NS = {     "atom": "http://www.w3.org/2005/Atom",     "dc": "http://purl.org/dc/elements/1.1/",
  • Network accessline 29
    "atom": "http://www.w3.org/2005/Atom",
  • Network accessline 30
    "dc": "http://purl.org/dc/elements/1.1/",
  • Network accessline 31
    "content": "http://purl.org/rss/1.0/modules/content/",
  • Network accessline 32
    "media": "http://search.yahoo.com/mrss/",
  • Network accessline 40
    def fetch(url: str) -> tuple[bytes, str]:
  • Network accessline 41
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT, "Accept": "*/*"})
  • Network accessline 42
    with urllib.request.urlopen(req, timeout=TIMEOUT) as resp:
  • Network accessline 107
    raise ValueError(f"unrecognised XML root <{tag}>")     entries = []     for item in channel.iter("item") if tag == "rss" else root.iter("{http://purl.org/rss/1.0/}item"):
  • Network accessline 108
    entries = []     for item in channel.iter("item") if tag == "rss" else root.iter("{http://purl.org/rss/1.0/}item"):         entries.append({
  • Network accessline 109
    for item in channel.iter("item") if tag == "rss" else root.iter("{http://purl.org/rss/1.0/}item"):
  • Network accessline 110
    entries.append({             "title": strip_html(_text(item, "title", "{http://purl.org/rss/1.0/}title")),             "link": (_text(item, "link", "{http://purl.org/rss/1.0/}link") or "").strip() or None,
  • Network accessline 111
    "title": strip_html(_text(item, "title", "{http://purl.org/rss/1.0/}title")),
  • Network accessline 112
    "link": (_text(item, "link", "{http://purl.org/rss/1.0/}link") or "").strip() or None,
  • Network accessline 113
    "published": parse_date(_text(item, "pubDate", "dc:date")),             "author": strip_html(_text(item, "dc:creator", "author")),             "summary": strip_html(_text(item, "content:encoded", "description", "{http://purl.org/rss/1.0/}de
  • Network accessline 114
    "author": strip_html(_text(item, "dc:creator", "author")),             "summary": strip_html(_text(item, "content:encoded", "description", "{http://purl.org/rss/1.0/}description"))[:2000],         })
  • Network accessline 115
    "summary": strip_html(_text(item, "content:encoded", "description", "{http://purl.org/rss/1.0/}description"))[:2000],
  • Network accessline 117
    return {"format": "rss", "title": strip_html(_text(channel, "title", "{http://purl.org/rss/1.0/}title")), "entries": entries}
  • Network accessline 144
    if page_html is None:         page_html, _ = fetch(page_url)
  • Network accessline 145
    page_html, _ = fetch(page_url)
  • Network accessline 172
    def read(url: str) -> dict:     data, ctype = fetch(url)
  • Network accessline 173
    data, ctype = fetch(url)
  • Network accessline 180
    for cand in candidates:         try:             cdata, cctype = fetch(cand)
  • Network accessline 181
    try:             cdata, cctype = fetch(cand)         except (urllib.error.URLError, OSError) as exc:
  • Network accessline 182
    cdata, cctype = fetch(cand)

optional-skills/research/scrapling/SKILL.md

  • Network accessline 10
    tags: [Web Scraping, Browser, Cloudflare, Stealth, Crawling, Spider]     related_skills: [duckduckgo-search, domain-intel]     homepage: https://github.com/D4Vinci/Scrapling
  • Network accessline 11
    related_skills: [duckduckgo-search, domain-intel]     homepage: https://github.com/D4Vinci/Scrapling prerequisites:
  • Network accessline 12
    homepage: https://github.com/D4Vinci/Scrapling
  • Network accessline 19
    [Scrapling](https://github.com/D4Vinci/Scrapling) is a web scraping framework with anti-bot bypass, stealth browser automation, and a spider framework. It provides three fetching strategies (HTTP, dynamic JS, stealth/Cloudflare) and a full 
  • Network accessline 63
    scrapling extract get 'https://example.com' output.md
  • Network accessline 69
    scrapling extract get 'https://example.com' output.md \
  • Network accessline 77
    scrapling extract fetch 'https://example.com' output.md \
  • Network accessline 86
    scrapling extract stealthy-fetch 'https://protected-site.com' output.html \
  • Network accessline 95
    scrapling extract post 'https://example.com/api' output.json \
  • Network accessline 114
    page = Fetcher.get('https://quotes.toscrape.com/')
  • Network accessline 125
    with FetcherSession(impersonate='chrome') as session:     page = session.get('https://example.com/', stealthy_headers=True)
  • Network accessline 126
    page = session.get('https://example.com/', stealthy_headers=True)
  • Network accessline 136
    page = Fetcher.post('https://api.example.com/data', json={"key": "value"})
  • Network accessline 137
    page = Fetcher.put('https://api.example.com/item/1', data={"name": "updated"})
  • Network accessline 138
    page = Fetcher.delete('https://api.example.com/item/1')
  • Network accessline 144
    page = Fetcher.get('https://example.com', proxy='http://user:pass@proxy:8080')
  • Network accessline 154
    page = DynamicFetcher.fetch('https://example.com', headless=True)
  • Network accessline 161
    page = DynamicFetcher.fetch(
  • Network accessline 162
    'https://example.com',
  • Network accessline 175
    with DynamicSession(headless=True, disable_resources=True, network_idle=True) as session:     page = session.fetch('https://example.com')
  • Network accessline 176
    page = session.fetch('https://example.com')
  • Network accessline 192
    page = DynamicFetcher.fetch('https://example.com', page_action=scroll_and_click)
  • Network accessline 203
    page = StealthyFetcher.fetch(
  • Network accessline 204
    'https://protected-site.com',
  • Network accessline 218
    with StealthySession(headless=True, solve_cloudflare=True) as session:     page1 = session.fetch('https://protected-site.com/page1')
  • Network accessline 219
    page1 = session.fetch('https://protected-site.com/page1')
  • Network accessline 220
    page2 = session.fetch('https://protected-site.com/page2')
  • Network accessline 276
    class QuotesSpider(Spider):     name = "quotes"     start_urls = ["https://quotes.toscrape.com/"]
  • Network accessline 277
    name = "quotes"     start_urls = ["https://quotes.toscrape.com/"]     concurrent_requests = 10
  • Network accessline 278
    start_urls = ["https://quotes.toscrape.com/"]
  • Network accessline 306
    class SmartSpider(Spider):     name = "smart"     start_urls = ["https://example.com/"]
  • Network accessline 308
    start_urls = ["https://example.com/"]

optional-skills/research/searxng-search/SKILL.md

  • Network accessline 17
    Free meta-search using [SearXNG](https://searxng.org/) — a privacy-respecting, self-hosted search aggregator that queries 70+ search engines simultaneously.
  • Access to secretsline 19
    [Credential-related source omitted]
  • Network accessline 26
    # Public instances (no setup required) SEARXNG_URL=https://searxng.example.com
  • Network accessline 27
    SEARXNG_URL=https://searxng.example.com
  • Network accessline 29
    # Self-hosted SearXNG SEARXNG_URL=http://localhost:8888
  • Network accessline 30
    SEARXNG_URL=http://localhost:8888
  • Network accessline 40
    # Check if SEARXNG_URL is set and the instance is reachable curl -s --max-time 5 "${SEARXNG_URL}/search?q=test&format=json" | head -c 200
  • Network accessline 41
    curl -s --max-time 5 "${SEARXNG_URL}/search?q=test&format=json" | head -c 200
  • Network accessline 49
    ## Method 1: CLI via curl (Preferred)
  • Network accessline 54
    # Text search (JSON output) curl -s --max-time 10 \
  • Network accessline 55
    curl -s --max-time 10 \
  • Network accessline 58
    # With Safesearch off curl -s --max-time 10 \
  • Network accessline 59
    curl -s --max-time 10 \
  • Network accessline 62
    # Specific categories (general, news, science, etc.) curl -s --max-time 10 \
  • Network accessline 63
    curl -s --max-time 10 \
  • Network accessline 82
    # Extract titles and URLs from JSON curl -s --max-time 10 "${SEARXNG_URL}/search?q=fastapi&format=json&limit=5" \
  • Dangerous shell operationline 83
    curl -s --max-time 10 "${SEARXNG_URL}/search?q=fastapi&format=json&limit=5"    | python3 -c "
  • Network accessline 83
    curl -s --max-time 10 "${SEARXNG_URL}/search?q=fastapi&format=json&limit=5" \
  • Access to secretsline 104
    [Credential-related source omitted]
  • Network accessline 116
    resp = requests.get(f"{base_url}/search", params=params, timeout=10)
  • Network accessline 137
    # Then set SEARXNG_URL=http://localhost:8888
  • Network accessline 138
    SEARXNG_URL=http://localhost:8888
  • Network accessline 148
    Public SearXNG instances are available at: - `https://searxng.example.com` (replace with any public instance)
  • Network accessline 149
    - `https://searxng.example.com` (replace with any public instance)
  • Network accessline 156
    # Search for relevant pages curl -s "${SEARXNG_URL}/search?q=fastapi+deployment&format=json&limit=3"
  • Network accessline 157
    curl -s "${SEARXNG_URL}/search?q=fastapi+deployment&format=json&limit=3"
  • Network accessline 195
    Public instances are listed at: https://searxng.org/

optional-skills/research/searxng-search/scripts/searxng.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 21
    curl -s --max-time 10 \

optional-skills/security/1password/SKILL.md

  • Network accessline 11
    category: security setup:   help: "Create a service account at https://my.1password.com → Settings → Service Accounts"
  • Network accessline 12
    setup:   help: "Create a service account at https://my.1password.com → Settings → Service Accounts"   collect_secrets:
  • Network accessline 13
    help: "Create a service account at https://my.1password.com → Settings → Service Accounts"
  • Network accessline 15
    [Credential-related source omitted]
  • Access to secretsline 15
    [Credential-related source omitted]
  • Network accessline 16
    [Credential-related source omitted]
  • Network accessline 17
    provider_url: "https://developer.1password.com/docs/service-accounts/"
  • Access to secretsline 48
    [Credential-related source omitted]
  • Network accessline 61
    export OP_CONNECT_HOST="http://localhost:8080"
  • Access to secretsline 62
    [Credential-related source omitted]
  • Network accessline 160
    - `references/get-started.md` - `references/cli-examples.md` - https://developer.1password.com/docs/cli/
  • Network accessline 161
    - `references/cli-examples.md` - https://developer.1password.com/docs/cli/ - https://developer.1password.com/docs/service-accounts/
  • Network accessline 162
    - https://developer.1password.com/docs/cli/
  • Network accessline 163
    - https://developer.1password.com/docs/service-accounts/

optional-skills/security/1password/references/cli-examples.md

  • Access to secretsline 22
    [Credential-related source omitted]

optional-skills/security/1password/references/get-started.md

  • Network accessline 3
    Official docs: https://developer.1password.com/docs/cli/get-started/

optional-skills/security/godmode/SKILL.md

  • Network accessline 16
    Bypass safety filters on API-served LLMs using techniques from [G0DM0D3](https://github.com/elder-plinius/G0DM0D3) and [L1B3RT4S](https://github.com/elder-plinius/L1B3RT4S). Three attack modes plus Hermes-native configuration for persistent
  • Dangerous shell operationline 66
    exec(open(os.path.expanduser(
  • Access to secretsline 67
    [Credential-related source omitted]
  • Dangerous shell operationline 83
    **Important:** Always use `load_godmode.py` instead of loading individual scripts directly. The individual scripts have `argparse` CLI entry points and `__name__` guards that break when loaded via `exec()` in execute_code. The loader handle
  • Dangerous shell operationline 198
    [Credential-related source omitted]
  • Access to secretsline 198
    [Credential-related source omitted]
  • Dangerous shell operationline 235
    [Credential-related source omitted]
  • Access to secretsline 235
    [Credential-related source omitted]
  • Access to secretsline 240
    [Credential-related source omitted]
  • Network accessline 290
    [Credential-related source omitted]
  • Network accessline 291
    [Credential-related source omitted]
  • Access to secretsline 291
    [Credential-related source omitted]
  • Network accessline 292
    base_url="https://openrouter.ai/api/v1"
  • Network accessline 352
    - **G0DM0D3:** [elder-plinius/G0DM0D3](https://github.com/elder-plinius/G0DM0D3) (AGPL-3.0)
  • Network accessline 353
    - **L1B3RT4S:** [elder-plinius/L1B3RT4S](https://github.com/elder-plinius/L1B3RT4S) (AGPL-3.0)
  • Network accessline 354
    - **Pliny the Prompter:** [@elder_plinius](https://x.com/elder_plinius)
  • Dangerous shell operationline 403
    9. **Always use `load_godmode.py` in execute_code** — The individual scripts (`parseltongue.py`, `godmode_race.py`, `auto_jailbreak.py`) have argparse CLI entry points with `if __name__ == '__main__'` blocks. When loaded via `exec()` in exe
  • Access to secretsline 406
    [Credential-related source omitted]

optional-skills/security/godmode/references/jailbreak-templates.md

  • Network accessline 3
    Source: [G0DM0D3](https://github.com/elder-plinius/G0DM0D3) + [L1B3RT4S](https://github.com/elder-plinius/L1B3RT4S)
  • Dangerous shell operationline 117
    [Credential-related source omitted]
  • Access to secretsline 117
    [Credential-related source omitted]
  • Network accessline 126
    - The system prompt in GODMODE CLASSIC keeps `{QUERY}` as literal text (the variable name is part of the jailbreak frame) - Only the user message gets the actual query injected - Templates source: [L1B3RT4S repo](https://github.com/elder-pl
  • Network accessline 128
    - Templates source: [L1B3RT4S repo](https://github.com/elder-plinius/L1B3RT4S) by Pliny the Prompter

optional-skills/security/godmode/references/refusal-detection.md

  • Dangerous shell operationline 132
    [Credential-related source omitted]
  • Access to secretsline 132
    [Credential-related source omitted]

optional-skills/security/godmode/scripts/auto_jailbreak.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Dangerous shell operationline 9
    exec(open(os.path.expanduser(
  • Access to secretsline 10
    [Credential-related source omitted]
  • Dangerous shell operationline 40
    # Resolve skill directory — works both as direct script and via exec()
  • Dangerous shell operationline 44
    # __file__ not defined when loaded via exec() — search standard paths
  • Dangerous shell operationline 59
    exec(compile(open(_parseltongue_path).read(), str(_parseltongue_path), 'exec'), _caller_globals)
  • Dangerous shell operationline 61
    exec(compile(open(_race_path).read(), str(_race_path), 'exec'), _caller_globals)
  • Network accessline 336
    model_cfg = cfg.get("model", {})         if isinstance(model_cfg, str):             return model_cfg, "https://openrouter.ai/api/v1"
  • Network accessline 337
    if isinstance(model_cfg, str):             return model_cfg, "https://openrouter.ai/api/v1"         model_name = model_cfg.get("name", "")
  • Network accessline 338
    return model_cfg, "https://openrouter.ai/api/v1"
  • Network accessline 339
    model_name = model_cfg.get("name", "")         base_url = model_cfg.get("base_url", "https://openrouter.ai/api/v1")         return model_name, base_url
  • Network accessline 340
    base_url = model_cfg.get("base_url", "https://openrouter.ai/api/v1")
  • Access to secretsline 349
    [Credential-related source omitted]
  • Access to secretsline 351
    [Credential-related source omitted]
  • Access to secretsline 353
    [Credential-related source omitted]
  • Access to secretsline 355
    [Credential-related source omitted]
  • Access to secretsline 427
    [Credential-related source omitted]
  • Access to secretsline 439
    [Credential-related source omitted]
  • Network accessline 457
    return {"success": False, "error": "No model specified and couldn't read config.yaml"}     if not base_url:         base_url = "https://openrouter.ai/api/v1"
  • Network accessline 458
    [Credential-related source omitted]
  • Network accessline 459
    base_url = "https://openrouter.ai/api/v1"
  • Access to secretsline 460
    [Credential-related source omitted]
  • Access to secretsline 461
    [Credential-related source omitted]
  • Access to secretsline 462
    [Credential-related source omitted]
  • Access to secretsline 476
    [Credential-related source omitted]

optional-skills/security/godmode/scripts/godmode_race.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Dangerous shell operationline 10
    [Credential-related source omitted]
  • Access to secretsline 10
    [Credential-related source omitted]
  • Access to secretsline 15
    [Credential-related source omitted]
  • Access to secretsline 300
    [Credential-related source omitted]
  • Access to secretsline 308
    [Credential-related source omitted]
  • Access to secretsline 323
    [Credential-related source omitted]
  • Access to secretsline 324
    [Credential-related source omitted]
  • Access to secretsline 325
    [Credential-related source omitted]
  • Network accessline 327
    [Credential-related source omitted]
  • Access to secretsline 327
    [Credential-related source omitted]
  • Access to secretsline 400
    [Credential-related source omitted]
  • Access to secretsline 448
    [Credential-related source omitted]
  • Access to secretsline 449
    [Credential-related source omitted]
  • Access to secretsline 450
    [Credential-related source omitted]
  • Network accessline 452
    [Credential-related source omitted]
  • Access to secretsline 452
    [Credential-related source omitted]

optional-skills/security/godmode/scripts/load_godmode.py

  • Executable scriptline 1
    Executable file
  • Dangerous shell operationline 5
    exec(open(os.path.expanduser(
  • Access to secretsline 6
    [Credential-related source omitted]
  • Dangerous shell operationline 29
    exec(compile(open(path).read(), str(path), 'exec'), ns)

optional-skills/security/godmode/scripts/parseltongue.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Dangerous shell operationline 14
    [Credential-related source omitted]
  • Access to secretsline 14
    [Credential-related source omitted]
  • Possible obfuscationline 106
    'z': '⠵', ' ': '<U+2800>',

optional-skills/security/oss-forensics/SKILL.md

  • Access to secretsline 103
    [Credential-related source omitted]
  • Network accessline 125
    # Clone repository git clone https://github.com/OWNER/REPO.git target_repo && cd target_repo
  • Network accessline 126
    git clone https://github.com/OWNER/REPO.git target_repo && cd target_repo
  • Network accessline 163
    # Commits (paginated) curl -s "https://api.github.com/repos/OWNER/REPO/commits?per_page=100" > api_commits.json
  • Network accessline 164
    curl -s "https://api.github.com/repos/OWNER/REPO/commits?per_page=100" > api_commits.json
  • Network accessline 166
    # Pull Requests including closed/deleted curl -s "https://api.github.com/repos/OWNER/REPO/pulls?state=all&per_page=100" > api_prs.json
  • Network accessline 167
    curl -s "https://api.github.com/repos/OWNER/REPO/pulls?state=all&per_page=100" > api_prs.json
  • Network accessline 169
    # Issues curl -s "https://api.github.com/repos/OWNER/REPO/issues?state=all&per_page=100" > api_issues.json
  • Network accessline 170
    curl -s "https://api.github.com/repos/OWNER/REPO/issues?state=all&per_page=100" > api_issues.json
  • Network accessline 172
    # Contributors and collaborator changes curl -s "https://api.github.com/repos/OWNER/REPO/contributors" > api_contributors.json
  • Network accessline 173
    curl -s "https://api.github.com/repos/OWNER/REPO/contributors" > api_contributors.json
  • Network accessline 175
    # Repository events (last 300) curl -s "https://api.github.com/repos/OWNER/REPO/events?per_page=100" > api_events.json
  • Network accessline 176
    curl -s "https://api.github.com/repos/OWNER/REPO/events?per_page=100" > api_events.json
  • Network accessline 178
    # Check specific suspicious commit SHA details curl -s "https://api.github.com/repos/OWNER/REPO/git/commits/SHA" > commit_detail.json
  • Network accessline 179
    curl -s "https://api.github.com/repos/OWNER/REPO/git/commits/SHA" > commit_detail.json
  • Network accessline 181
    # Releases curl -s "https://api.github.com/repos/OWNER/REPO/releases?per_page=100" > api_releases.json
  • Network accessline 182
    curl -s "https://api.github.com/repos/OWNER/REPO/releases?per_page=100" > api_releases.json
  • Network accessline 184
    # Check if a specific commit exists (force-pushed commits may 404 on commits/ but succeed on git/commits/) curl -s "https://api.github.com/repos/OWNER/REPO/commits/SHA" | jq .sha
  • Network accessline 185
    curl -s "https://api.github.com/repos/OWNER/REPO/commits/SHA" | jq .sha
  • Network accessline 205
    # Search for archived snapshots of the repo main page curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO&output=json&limit=100&from=YYYYMMDD&to=YYYYMMDD" > wayback_main.json
  • Network accessline 206
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO&output=json&limit=100&from=YYYYMMDD&to=YYYYMMDD" > wayback_main.json
  • Network accessline 208
    # Search for a specific deleted issue curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/issues/NUM&output=json&limit=50" > wayback_issue_NUM.json
  • Network accessline 209
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/issues/NUM&output=json&limit=50" > wayback_issue_NUM.json
  • Network accessline 211
    # Search for a specific deleted PR curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/pull/NUM&output=json&limit=50" > wayback_pr_NUM.json
  • Network accessline 212
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/pull/NUM&output=json&limit=50" > wayback_pr_NUM.json
  • Network accessline 214
    # Fetch the best snapshot of a page # Use the Wayback Machine URL: https://web.archive.org/web/TIMESTAMP/ORIGINAL_URL
  • Network accessline 215
    # Use the Wayback Machine URL: https://web.archive.org/web/TIMESTAMP/ORIGINAL_URL
  • Network accessline 216
    # Example: https://web.archive.org/web/20240101000000*/github.com/OWNER/REPO
  • Network accessline 218
    # Advanced: Search for deleted releases/tags curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/releases/tag/*&output=json" > wayback_tags.json
  • Network accessline 219
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/releases/tag/*&output=json" > wayback_tags.json
  • Network accessline 221
    # Advanced: Search for historical wiki changes curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/wiki/*&output=json" > wayback_wiki.json
  • Network accessline 222
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/wiki/*&output=json" > wayback_wiki.json
  • Access to secretsline 408
    [Credential-related source omitted]

optional-skills/security/oss-forensics/references/evidence-types.md

  • Access to secretsline 29
    [Credential-related source omitted]
  • Network accessline 33
    | `PACKAGE_NAME` | A malicious or squatted package name | `colo-rs` (typosquatting `color`), `lodash-utils` | | `ACTOR_USERNAME` | A GitHub handle linked to the attack | `malicious-bot-account` | | `MALICIOUS_URL` | A URL to a malicious res
  • Network accessline 34
    | `ACTOR_USERNAME` | A GitHub handle linked to the attack | `malicious-bot-account` | | `MALICIOUS_URL` | A URL to a malicious resource | `https://evil.example.com/payload.sh` | | `WORKFLOW_FILE` | A suspicious CI/CD workflow file | `.githu
  • Network accessline 35
    | `MALICIOUS_URL` | A URL to a malicious resource | `https://evil.example.com/payload.sh` |

optional-skills/security/oss-forensics/references/recovery-techniques.md

  • Network accessline 14
    # View commit metadata curl -s "https://github.com/OWNER/REPO/commit/SHA"
  • Network accessline 15
    curl -s "https://github.com/OWNER/REPO/commit/SHA"
  • Network accessline 17
    # Download as patch (includes full diff) curl -s "https://github.com/OWNER/REPO/commit/SHA.patch" > recovered_commit.patch
  • Network accessline 18
    curl -s "https://github.com/OWNER/REPO/commit/SHA.patch" > recovered_commit.patch
  • Network accessline 20
    # Download as diff curl -s "https://github.com/OWNER/REPO/commit/SHA.diff" > recovered_commit.diff
  • Network accessline 21
    curl -s "https://github.com/OWNER/REPO/commit/SHA.diff" > recovered_commit.diff
  • Network accessline 23
    # Example (Istio credential leak - real incident): curl -s "https://github.com/istio/istio/commit/FORCE_PUSHED_SHA.patch"
  • Network accessline 24
    curl -s "https://github.com/istio/istio/commit/FORCE_PUSHED_SHA.patch"
  • Network accessline 35
    # Works for commits force-pushed off branches but still on server # Note: /commits/SHA may 404, but /git/commits/SHA often succeeds for orphaned commits curl -s "https://api.github.com/repos/OWNER/REPO/git/commits/SHA" | jq .
  • Network accessline 37
    curl -s "https://api.github.com/repos/OWNER/REPO/git/commits/SHA" | jq .
  • Network accessline 39
    # Get the tree (file listing) of a force-pushed commit curl -s "https://api.github.com/repos/OWNER/REPO/git/trees/SHA?recursive=1" | jq .
  • Network accessline 40
    curl -s "https://api.github.com/repos/OWNER/REPO/git/trees/SHA?recursive=1" | jq .
  • Network accessline 42
    # Get a specific file from a force-pushed commit curl -s "https://api.github.com/repos/OWNER/REPO/contents/PATH?ref=SHA" | jq .content | base64 -d
  • Network accessline 43
    curl -s "https://api.github.com/repos/OWNER/REPO/contents/PATH?ref=SHA" | jq .content | base64 -d
  • Network accessline 88
    # Find all archived snapshots of a specific issue curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/issues/NUMBER&output=json&limit=50&fl=timestamp,statuscode,original" | python3 -m json.tool
  • Dangerous shell operationline 89
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/issues/NUMBER&output=json&limit=50&fl=timestamp,statuscode,original" | python3 -m json.tool
  • Network accessline 89
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO/issues/NUMBER&output=json&limit=50&fl=timestamp,statuscode,original" | python3 -m json.tool
  • Network accessline 91
    # Fetch the best snapshot # Use the timestamp from the CDX result: # https://web.archive.org/web/TIMESTAMP/https://github.com/OWNER/REPO/issues/NUMBER
  • Network accessline 92
    # Use the timestamp from the CDX result: # https://web.archive.org/web/TIMESTAMP/https://github.com/OWNER/REPO/issues/NUMBER curl -s "https://web.archive.org/web/TIMESTAMP/https://github.com/OWNER/REPO/issues/NUMBER" > issue_NUMBER_archived
  • Network accessline 93
    # https://web.archive.org/web/TIMESTAMP/https://github.com/OWNER/REPO/issues/NUMBER
  • Network accessline 94
    curl -s "https://web.archive.org/web/TIMESTAMP/https://github.com/OWNER/REPO/issues/NUMBER" > issue_NUMBER_archived.html
  • Network accessline 96
    # Find all snapshots of the repo in a date range curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO*&output=json&from=20240101&to=20240201&limit=200&fl=timestamp,urlkey,statuscode" | python3 -m json.tool
  • Dangerous shell operationline 97
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO*&output=json&from=20240101&to=20240201&limit=200&fl=timestamp,urlkey,statuscode" | python3 -m json.tool
  • Network accessline 97
    curl -s "https://web.archive.org/cdx/search/cdx?url=github.com/OWNER/REPO*&output=json&from=20240101&to=20240201&limit=200&fl=timestamp,urlkey,statuscode" | python3 -m json.tool
  • Network accessline 103
    # Closed issues (not deleted) are retrievable curl -s "https://api.github.com/repos/OWNER/REPO/issues?state=closed&per_page=100" | jq '.[].number'
  • Network accessline 104
    curl -s "https://api.github.com/repos/OWNER/REPO/issues?state=closed&per_page=100" | jq '.[].number'
  • Network accessline 129
    # Or via API (base64 encoded content): curl -s "https://api.github.com/repos/OWNER/REPO/contents/path/to/file.py?ref=SHA" | python3 -c "
  • Dangerous shell operationline 130
    curl -s "https://api.github.com/repos/OWNER/REPO/contents/path/to/file.py?ref=SHA" | python3 -c "
  • Network accessline 130
    curl -s "https://api.github.com/repos/OWNER/REPO/contents/path/to/file.py?ref=SHA" | python3 -c "
  • Possible obfuscationline 133
    print(base64.b64decode(d['content']).decode())
  • Network accessline 144
    python3 SKILL_DIR/scripts/evidence-store.py --store evidence.json add    --source "git fetch origin FORCE_PUSHED_SHA"    --content "Recovered commit: FORCE_PUSHED_SHA | Author: attacker@example.com | Date: 2024-01-15 | Added file: malicious
  • Network accessline 147
    --type git \   --actor "attacker-handle" \   --url "https://github.com/OWNER/REPO/commit/FORCE_PUSHED_SHA.patch" \
  • Network accessline 148
    --actor "attacker-handle" \   --url "https://github.com/OWNER/REPO/commit/FORCE_PUSHED_SHA.patch" \   --timestamp "2024-01-15T00:00:00Z" \
  • Network accessline 149
    --url "https://github.com/OWNER/REPO/commit/FORCE_PUSHED_SHA.patch" \

optional-skills/security/oss-forensics/scripts/evidence-store.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 15
    python3 evidence-store.py --store evidence.json add \     --source "git fsck output" --content "dangling commit abc123" \     --type git --actor "malicious-user" --url "https://github.com/owner/repo/commit/abc123"
  • Network accessline 17
    --type git --actor "malicious-user" --url "https://github.com/owner/repo/commit/abc123"
  • Access to secretsline 45
    [Credential-related source omitted]

optional-skills/security/oss-forensics/templates/forensic-report.md

  • Network accessline 149
    - Evidence store: `evidence.json` (SHA-256 integrity: run `python3 SKILL_DIR/scripts/evidence-store.py --store evidence.json verify`) - Related issues: <!-- Link to GitHub issues, CVEs, security advisories --> - RAPTOR framework: https://gi
  • Network accessline 151
    - RAPTOR framework: https://github.com/gadievron/raptor

optional-skills/security/oss-forensics/templates/malicious-package-report.md

  • Access to secretsline 17
    [Credential-related source omitted]

optional-skills/security/sherlock/SKILL.md

  • Network accessline 18
    Hunt down social media accounts by username across 400+ social networks using the [Sherlock Project](https://github.com/sherlock-project/sherlock).
  • Network accessline 100
    [+] Instagram: https://instagram.com/username
  • Network accessline 101
    [+] Twitter: https://twitter.com/username
  • Network accessline 102
    [+] GitHub: https://github.com/username
  • Network accessline 176
    > Found 12 accounts for username 'johndoe123': > > • https://twitter.com/johndoe123
  • Network accessline 177
    > > • https://twitter.com/johndoe123 > • https://github.com/johndoe123
  • Network accessline 178
    > • https://twitter.com/johndoe123
  • Network accessline 179
    > • https://github.com/johndoe123
  • Network accessline 180
    > • https://instagram.com/johndoe123

optional-skills/security/unbroker/README.md

  • Access to secretsline 43
    [Credential-related source omitted]
  • Network accessline 114
    - **Coverage that matches or exceeds commercial services.** Two lanes: (1) people-search sites with   per-site opt-out mechanics (19 curated records, including FamilyTreeNow, Radaris, and Nuwber, plus   a live pull from [BADBOOL](https://gi
  • Network accessline 115
    per-site opt-out mechanics (19 curated records, including FamilyTreeNow, Radaris, and Nuwber, plus   a live pull from [BADBOOL](https://github.com/yaelwrites/Big-Ass-Data-Broker-Opt-Out-List)), and   (2) the **state data-broker registries**
  • Network accessline 116
    a live pull from [BADBOOL](https://github.com/yaelwrites/Big-Ass-Data-Broker-Opt-Out-List)), and
  • Network accessline 166
    - Broker dataset adapted from the **Big-Ass Data Broker Opt-Out List (BADBOOL)** by **Yael Grauer**,   licensed [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (attribution
  • Network accessline 167
    licensed [CC BY-NC-SA 4.0](https://creativecommons.org/licenses/by-nc-sa/4.0/) (attribution
  • Network accessline 168
    required, non-commercial). See [yaelwrites.com](https://yaelwrites.com/).

optional-skills/security/unbroker/SKILL.md

  • Network accessline 13
    category: security     related_skills: [google-workspace, agentmail, himalaya, scrapling, osint-investigation]     homepage: https://github.com/NousResearch/hermes-agent
  • Network accessline 14
    related_skills: [google-workspace, agentmail, himalaya, scrapling, osint-investigation]     homepage: https://github.com/NousResearch/hermes-agent ---
  • Network accessline 15
    homepage: https://github.com/NousResearch/hermes-agent
  • Access to secretsline 74
    [Credential-related source omitted]

optional-skills/security/unbroker/references/brokers/addresses.json

  • Network accessline 10
    "search": {     "method": "url_pattern",     "url": "https://www.addresses.com/",
  • Network accessline 11
    "method": "url_pattern",     "url": "https://www.addresses.com/",     "fetch": "web_extract",
  • Network accessline 12
    "url": "https://www.addresses.com/",     "fetch": "web_extract",     "match_signal": "result",
  • Network accessline 17
    ],     "url_patterns": {       "name": "https://www.addresses.com/people/{First}+{Last}"
  • Network accessline 18
    "url_patterns": {       "name": "https://www.addresses.com/people/{First}+{Last}"     },
  • Network accessline 19
    "name": "https://www.addresses.com/people/{First}+{Last}"
  • Network accessline 27
    "tier": "T1",     "method": "web_form",     "url": "https://suppression.peopleconnect.us/login",
  • Network accessline 28
    "method": "web_form",     "url": "https://suppression.peopleconnect.us/login",     "requires": {
  • Network accessline 29
    "url": "https://suppression.peopleconnect.us/login",

optional-skills/security/unbroker/references/brokers/advancedbackgroundchecks.json

  • Network accessline 7
    "search": {     "method": "url_pattern",     "url": "https://www.advancedbackgroundchecks.com",
  • Network accessline 8
    "method": "url_pattern",     "url": "https://www.advancedbackgroundchecks.com",     "fetch": "web_extract",
  • Network accessline 9
    "url": "https://www.advancedbackgroundchecks.com",     "fetch": "web_extract",     "match_signal": "result",
  • Network accessline 12
    "by": ["name", "phone", "address"],     "url_patterns": {       "name": "https://www.advancedbackgroundchecks.com/name/{first}-{last}",
  • Network accessline 13
    "url_patterns": {       "name": "https://www.advancedbackgroundchecks.com/name/{first}-{last}",       "name_state": "https://www.advancedbackgroundchecks.com/name/{first}-{last}/in/{ST}",
  • Network accessline 14
    "name": "https://www.advancedbackgroundchecks.com/name/{first}-{last}",
  • Network accessline 15
    "name_state": "https://www.advancedbackgroundchecks.com/name/{first}-{last}/in/{ST}",
  • Network accessline 16
    "phone": "https://www.advancedbackgroundchecks.com/phone/{digits10}",
  • Network accessline 17
    "address": "https://www.advancedbackgroundchecks.com/address/{num}-{street-with-type}-{city}-{ST}-{zip}",
  • Network accessline 18
    "person_profile": "https://www.advancedbackgroundchecks.com/find/person/{first}-{last}-{22charID}"
  • Network accessline 32
    "tier": "T2",     "method": "web_form",     "url": "https://www.advancedbackgroundchecks.com/opt-out",
  • Network accessline 33
    "method": "web_form",     "url": "https://www.advancedbackgroundchecks.com/opt-out",     "requires": {
  • Network accessline 34
    "url": "https://www.advancedbackgroundchecks.com/opt-out",

optional-skills/security/unbroker/references/brokers/beenverified.json

  • Network accessline 9
    "search": {     "method": "url_pattern",     "url": "https://www.beenverified.com/app/optout/search",
  • Network accessline 10
    "method": "url_pattern",     "url": "https://www.beenverified.com/app/optout/search",     "fetch": "browser",
  • Network accessline 11
    "url": "https://www.beenverified.com/app/optout/search",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 17
    "tier": "T1",     "method": "web_form",     "url": "https://www.beenverified.com/svc/optout/search/optouts",
  • Network accessline 18
    "method": "web_form",     "url": "https://www.beenverified.com/svc/optout/search/optouts",     "email": "privacy@beenverified.com",
  • Network accessline 19
    "url": "https://www.beenverified.com/svc/optout/search/optouts",

optional-skills/security/unbroker/references/brokers/clustal.json

  • Network accessline 7
    "search": {     "method": "url_pattern",     "url": "https://www.clustal.org/",
  • Network accessline 8
    "method": "url_pattern",     "url": "https://www.clustal.org/",     "fetch": "web_extract",
  • Network accessline 9
    "url": "https://www.clustal.org/",     "fetch": "web_extract",     "match_signal": "record",
  • Network accessline 12
    "by": ["name"],     "url_patterns": {       "name_index": "https://www.clustal.org/people-search/{letter}/{first-last}/",
  • Network accessline 13
    "url_patterns": {       "name_index": "https://www.clustal.org/people-search/{letter}/{first-last}/",       "name_state": "https://www.clustal.org/people-search/{letter}/{first-last}/{st}/",
  • Network accessline 14
    "name_index": "https://www.clustal.org/people-search/{letter}/{first-last}/",
  • Network accessline 15
    "name_state": "https://www.clustal.org/people-search/{letter}/{first-last}/{st}/",
  • Network accessline 16
    "record": "https://www.clustal.org/record/{first-last}-{8charID}/"
  • Network accessline 26
    "tier": "T0",     "method": "web_form",     "url": "https://www.clustal.org/privacy-control/",
  • Network accessline 27
    "method": "web_form",     "url": "https://www.clustal.org/privacy-control/",     "requires": {
  • Network accessline 28
    "url": "https://www.clustal.org/privacy-control/",

optional-skills/security/unbroker/references/brokers/clustrmaps.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://clustrmaps.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://clustrmaps.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://clustrmaps.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 24
    "tier": "T2",     "method": "web_form",     "url": "https://clustrmaps.com/bl/opt-out",
  • Network accessline 25
    "method": "web_form",     "url": "https://clustrmaps.com/bl/opt-out",     "requires": {
  • Network accessline 26
    "url": "https://clustrmaps.com/bl/opt-out",

optional-skills/security/unbroker/references/brokers/cyberbackgroundchecks.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://www.cyberbackgroundchecks.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://www.cyberbackgroundchecks.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://www.cyberbackgroundchecks.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 21
    ],     "url_patterns": {       "phone": "https://www.cyberbackgroundchecks.com/phone/{digits10}"
  • Network accessline 22
    "url_patterns": {       "phone": "https://www.cyberbackgroundchecks.com/phone/{digits10}"     },
  • Network accessline 23
    "phone": "https://www.cyberbackgroundchecks.com/phone/{digits10}"
  • Network accessline 30
    "tier": "T2",     "method": "web_form",     "url": "https://www.cyberbackgroundchecks.com/removal",
  • Network accessline 31
    "method": "web_form",     "url": "https://www.cyberbackgroundchecks.com/removal",     "requires": {
  • Network accessline 32
    "url": "https://www.cyberbackgroundchecks.com/removal",

optional-skills/security/unbroker/references/brokers/familytreenow.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://www.familytreenow.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://www.familytreenow.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://www.familytreenow.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 24
    "tier": "T2",     "method": "web_form",     "url": "https://www.familytreenow.com/optout",
  • Network accessline 25
    "method": "web_form",     "url": "https://www.familytreenow.com/optout",     "requires": {
  • Network accessline 26
    "url": "https://www.familytreenow.com/optout",

optional-skills/security/unbroker/references/brokers/fastpeoplesearch.json

  • Network accessline 7
    "search": {     "method": "url_pattern",     "url": "https://www.fastpeoplesearch.com/",
  • Network accessline 8
    "method": "url_pattern",     "url": "https://www.fastpeoplesearch.com/",     "fetch": "browser",
  • Network accessline 9
    "url": "https://www.fastpeoplesearch.com/",     "fetch": "browser",     "antibot": "datadome",
  • Network accessline 14
    "by": ["name", "phone", "address"],     "url_patterns": {       "name": "https://www.fastpeoplesearch.com/name/{first}-{last}",
  • Network accessline 15
    "url_patterns": {       "name": "https://www.fastpeoplesearch.com/name/{first}-{last}",       "phone": "https://www.fastpeoplesearch.com/{areacode}-{prefix}-{line}"
  • Network accessline 16
    "name": "https://www.fastpeoplesearch.com/name/{first}-{last}",
  • Network accessline 17
    "phone": "https://www.fastpeoplesearch.com/{areacode}-{prefix}-{line}"
  • Network accessline 27
    "tier": "T2",     "method": "web_form",     "url": "https://www.fastpeoplesearch.com/removal",
  • Network accessline 28
    "method": "web_form",     "url": "https://www.fastpeoplesearch.com/removal",     "requires": {
  • Network accessline 29
    "url": "https://www.fastpeoplesearch.com/removal",

optional-skills/security/unbroker/references/brokers/intelius.json

  • Network accessline 22
    "search": {     "method": "url_pattern",     "url": "https://www.intelius.com/",
  • Network accessline 23
    "method": "url_pattern",     "url": "https://www.intelius.com/",     "fetch": "web_extract",
  • Network accessline 24
    "url": "https://www.intelius.com/",     "fetch": "web_extract",     "match_signal": "result",
  • Network accessline 31
    ],     "url_patterns": {       "name": "https://www.intelius.com/people-search/{First}-{Last}/",
  • Network accessline 32
    "url_patterns": {       "name": "https://www.intelius.com/people-search/{First}-{Last}/",       "name_state": "https://www.intelius.com/people-search/{first}-{last}/{state-name}/",
  • Network accessline 33
    "name": "https://www.intelius.com/people-search/{First}-{Last}/",
  • Network accessline 34
    "name_state": "https://www.intelius.com/people-search/{first}-{last}/{state-name}/",
  • Network accessline 35
    "full_report": "https://www.intelius.com/search/?firstName={First}&lastName={Last}&city={City}&state={ST}&traffic%5Bsource%5D=INTSEO",
  • Network accessline 36
    "phone": "https://www.intelius.com/reverse-phone-lookup/{areacode}-{prefix}-{line}/"
  • Network accessline 47
    "tier": "T1",     "method": "web_form",     "url": "https://suppression.peopleconnect.us/login",
  • Network accessline 48
    "method": "web_form",     "url": "https://suppression.peopleconnect.us/login",     "email": "privacy@peopleconnect.us",
  • Network accessline 49
    "url": "https://suppression.peopleconnect.us/login",
  • Network accessline 67
    "via": "in_flow",       "prefer": false,       "url": "https://suppression.peopleconnect.us/guided-mode",
  • Network accessline 68
    "prefer": false,       "url": "https://suppression.peopleconnect.us/guided-mode",       "email": "privacy@peopleconnect.us",
  • Network accessline 69
    "url": "https://suppression.peopleconnect.us/guided-mode",

optional-skills/security/unbroker/references/brokers/mylife.json

  • Network accessline 7
    "search": {     "method": "url_pattern",     "url": "https://www.mylife.com",
  • Network accessline 8
    "method": "url_pattern",     "url": "https://www.mylife.com",     "fetch": "browser",
  • Network accessline 9
    "url": "https://www.mylife.com",     "fetch": "browser",     "match_signal": "profile",
  • Network accessline 15
    "tier": "T3",     "method": "phone",     "url": "https://www.mylife.com/privacyrequest",
  • Network accessline 16
    "method": "phone",     "url": "https://www.mylife.com/privacyrequest",     "requires": {
  • Network accessline 17
    "url": "https://www.mylife.com/privacyrequest",

optional-skills/security/unbroker/references/brokers/nuwber.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://nuwber.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://nuwber.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://nuwber.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 24
    "tier": "T2",     "method": "web_form",     "url": "https://nuwber.com/removal/link",
  • Network accessline 25
    "method": "web_form",     "url": "https://nuwber.com/removal/link",     "requires": {
  • Network accessline 26
    "url": "https://nuwber.com/removal/link",

optional-skills/security/unbroker/references/brokers/peekyou.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://www.peekyou.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://www.peekyou.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://www.peekyou.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 24
    "tier": "T2",     "method": "web_form",     "url": "https://www.peekyou.com/about/contact/optout",
  • Network accessline 25
    "method": "web_form",     "url": "https://www.peekyou.com/about/contact/optout",     "requires": {
  • Network accessline 26
    "url": "https://www.peekyou.com/about/contact/optout",

optional-skills/security/unbroker/references/brokers/peoplefinders.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://www.peoplefinders.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://www.peoplefinders.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://www.peoplefinders.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 21
    ],     "url_patterns": {       "phone": "https://www.peoplefinders.com/phone/{areacode}-{prefix}-{line}"
  • Network accessline 22
    "url_patterns": {       "phone": "https://www.peoplefinders.com/phone/{areacode}-{prefix}-{line}"     },
  • Network accessline 23
    "phone": "https://www.peoplefinders.com/phone/{areacode}-{prefix}-{line}"
  • Network accessline 30
    "tier": "T2",     "method": "web_form",     "url": "https://www.peoplefinders.com/opt-out",
  • Network accessline 31
    "method": "web_form",     "url": "https://www.peoplefinders.com/opt-out",     "requires": {
  • Network accessline 32
    "url": "https://www.peoplefinders.com/opt-out",

optional-skills/security/unbroker/references/brokers/radaris.json

  • Network accessline 9
    "search": {     "method": "url_pattern",     "url": "https://radaris.com/",
  • Network accessline 10
    "method": "url_pattern",     "url": "https://radaris.com/",     "fetch": "web_extract",
  • Network accessline 11
    "url": "https://radaris.com/",     "fetch": "web_extract",     "match_signal": "View Profile",
  • Network accessline 18
    ],     "url_patterns": {       "name": "https://radaris.com/p/{First}/{Last}/"
  • Network accessline 19
    "url_patterns": {       "name": "https://radaris.com/p/{First}/{Last}/"     },
  • Network accessline 20
    "name": "https://radaris.com/p/{First}/{Last}/"
  • Network accessline 29
    "tier": "T2",     "method": "web_form",     "url": "https://radaris.com/control-privacy",
  • Network accessline 30
    "method": "web_form",     "url": "https://radaris.com/control-privacy",     "requires": {
  • Network accessline 31
    "url": "https://radaris.com/control-privacy",
  • Network accessline 47
    "quirks": [       "CAPTCHA: the form carries a Google reCAPTCHA (hidden field g-recaptcha-response) plus anti-bot fingerprint tokens (jfp, token). Tier is T2 without a captcha-clearing browser backend (T1 with Browserbase). (Record previous
  • Network accessline 48
    "CAPTCHA: the form carries a Google reCAPTCHA (hidden field g-recaptcha-response) plus anti-bot fingerprint tokens (jfp, token). Tier is T2 without a captcha-clearing browser backend (T1 with Browserbase). (Record previously mis-declared ca
  • Network accessline 49
    "The /control-privacy form REQUIRES the per-person NUMBERED profile URL. Pasting the aggregate /p/{First}/{Last}/ URL is rejected with the validation error: 'The URL must include unique number at the end'. The real removable URL looks like 

optional-skills/security/unbroker/references/brokers/rehold.json

  • Network accessline 9
    "search": {     "method": "url_pattern",     "url": "https://rehold.com/",
  • Network accessline 10
    "method": "url_pattern",     "url": "https://rehold.com/",     "fetch": "browser",
  • Network accessline 11
    "url": "https://rehold.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 21
    "tier": "T2",     "method": "web_form",     "url": "https://rehold.com/optout",
  • Network accessline 22
    "method": "web_form",     "url": "https://rehold.com/optout",     "requires": {
  • Network accessline 23
    "url": "https://rehold.com/optout",

optional-skills/security/unbroker/references/brokers/searchpeoplefree.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://www.searchpeoplefree.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://www.searchpeoplefree.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://www.searchpeoplefree.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 21
    ],     "url_patterns": {       "phone": "https://www.searchpeoplefree.com/phone-lookup/{areacode}-{prefix}-{line}"
  • Network accessline 22
    "url_patterns": {       "phone": "https://www.searchpeoplefree.com/phone-lookup/{areacode}-{prefix}-{line}"     },
  • Network accessline 23
    "phone": "https://www.searchpeoplefree.com/phone-lookup/{areacode}-{prefix}-{line}"
  • Network accessline 30
    "tier": "T2",     "method": "web_form",     "url": "https://www.searchpeoplefree.com/opt-out",
  • Network accessline 31
    "method": "web_form",     "url": "https://www.searchpeoplefree.com/opt-out",     "requires": {
  • Network accessline 32
    "url": "https://www.searchpeoplefree.com/opt-out",

optional-skills/security/unbroker/references/brokers/socialcatfish.json

  • Network accessline 9
    "search": {     "method": "url_pattern",     "url": "https://socialcatfish.com/",
  • Network accessline 10
    "method": "url_pattern",     "url": "https://socialcatfish.com/",     "fetch": "browser",
  • Network accessline 11
    "url": "https://socialcatfish.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 25
    "tier": "T2",     "method": "web_form",     "url": "https://socialcatfish.com/opt-out/",
  • Network accessline 26
    "method": "web_form",     "url": "https://socialcatfish.com/opt-out/",     "requires": {
  • Network accessline 27
    "url": "https://socialcatfish.com/opt-out/",

optional-skills/security/unbroker/references/brokers/spokeo.json

  • Network accessline 9
    "search": {     "method": "url_pattern",     "url": "https://www.spokeo.com/search",
  • Network accessline 10
    "method": "url_pattern",     "url": "https://www.spokeo.com/search",     "fetch": "browser",
  • Network accessline 11
    "url": "https://www.spokeo.com/search",     "fetch": "browser",     "match_signal": "profile",
  • Network accessline 14
    "by": ["name", "phone", "email", "address"],     "url_patterns": {       "phone": "https://www.spokeo.com/{areacode}-{prefix}-{line}"
  • Network accessline 15
    "url_patterns": {       "phone": "https://www.spokeo.com/{areacode}-{prefix}-{line}"     },
  • Network accessline 16
    "phone": "https://www.spokeo.com/{areacode}-{prefix}-{line}"
  • Network accessline 23
    "tier": "T1",     "method": "web_form",     "url": "https://www.spokeo.com/optout",
  • Network accessline 24
    "method": "web_form",     "url": "https://www.spokeo.com/optout",     "email": "privacy@spokeo.com",
  • Network accessline 25
    "url": "https://www.spokeo.com/optout",

optional-skills/security/unbroker/references/brokers/thatsthem.json

  • Network accessline 7
    "search": {     "method": "url_pattern",     "url": "https://thatsthem.com/",
  • Network accessline 8
    "method": "url_pattern",     "url": "https://thatsthem.com/",     "fetch": "browser",
  • Network accessline 9
    "url": "https://thatsthem.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 12
    "by": ["name", "phone", "email", "address"],     "url_patterns": {       "name": "https://thatsthem.com/name/{First}-{Last}/{City}-{ST}",
  • Network accessline 13
    "url_patterns": {       "name": "https://thatsthem.com/name/{First}-{Last}/{City}-{ST}",       "phone": "https://thatsthem.com/phone/{areacode}-{prefix}-{line}",
  • Network accessline 14
    "name": "https://thatsthem.com/name/{First}-{Last}/{City}-{ST}",
  • Network accessline 15
    "phone": "https://thatsthem.com/phone/{areacode}-{prefix}-{line}",
  • Network accessline 16
    "email": "https://thatsthem.com/email/{email}",
  • Network accessline 17
    "address": "https://thatsthem.com/address/{Street}-{City}-{ST}-{ZIP}"
  • Network accessline 27
    "tier": "T2",     "method": "web_form",     "url": "https://thatsthem.com/optout",
  • Network accessline 28
    "method": "web_form",     "url": "https://thatsthem.com/optout",     "requires": {
  • Network accessline 29
    "url": "https://thatsthem.com/optout",

optional-skills/security/unbroker/references/brokers/truepeoplesearch.json

  • Network accessline 7
    "search": {     "method": "url_pattern",     "url": "https://www.truepeoplesearch.com/",
  • Network accessline 8
    "method": "url_pattern",     "url": "https://www.truepeoplesearch.com/",     "fetch": "browser",
  • Network accessline 9
    "url": "https://www.truepeoplesearch.com/",     "fetch": "browser",     "antibot": "datadome",
  • Network accessline 14
    "by": ["name", "phone", "address", "email"],     "url_patterns": {       "name": "https://www.truepeoplesearch.com/results?name={First%20Last}&citystatezip={City,%20ST}"
  • Network accessline 15
    "url_patterns": {       "name": "https://www.truepeoplesearch.com/results?name={First%20Last}&citystatezip={City,%20ST}"     },
  • Network accessline 16
    "name": "https://www.truepeoplesearch.com/results?name={First%20Last}&citystatezip={City,%20ST}"
  • Network accessline 25
    "tier": "T2",     "method": "web_form",     "url": "https://www.truepeoplesearch.com/removal",
  • Network accessline 26
    "method": "web_form",     "url": "https://www.truepeoplesearch.com/removal",     "requires": {
  • Network accessline 27
    "url": "https://www.truepeoplesearch.com/removal",

optional-skills/security/unbroker/references/brokers/usphonebook.json

  • Network accessline 11
    "search": {     "method": "url_pattern",     "url": "https://www.usphonebook.com/",
  • Network accessline 12
    "method": "url_pattern",     "url": "https://www.usphonebook.com/",     "fetch": "browser",
  • Network accessline 13
    "url": "https://www.usphonebook.com/",     "fetch": "browser",     "match_signal": "result",
  • Network accessline 21
    ],     "url_patterns": {       "phone": "https://www.usphonebook.com/{areacode}-{prefix}-{line}"
  • Network accessline 22
    "url_patterns": {       "phone": "https://www.usphonebook.com/{areacode}-{prefix}-{line}"     },
  • Network accessline 23
    "phone": "https://www.usphonebook.com/{areacode}-{prefix}-{line}"
  • Network accessline 30
    "tier": "T2",     "method": "web_form",     "url": "https://www.usphonebook.com/opt-out",
  • Network accessline 31
    "method": "web_form",     "url": "https://www.usphonebook.com/opt-out",     "requires": {
  • Network accessline 32
    "url": "https://www.usphonebook.com/opt-out",

optional-skills/security/unbroker/references/brokers/whitepages.json

  • Network accessline 9
    "search": {     "method": "url_pattern",     "url": "https://www.whitepages.com/",
  • Network accessline 10
    "method": "url_pattern",     "url": "https://www.whitepages.com/",     "fetch": "browser",
  • Network accessline 11
    "url": "https://www.whitepages.com/",     "fetch": "browser",     "match_signal": "listing",
  • Network accessline 17
    "tier": "T1",     "method": "email",     "url": "https://www.whitepages.com/suppression_requests",
  • Network accessline 18
    "method": "email",     "url": "https://www.whitepages.com/suppression_requests",     "email": "privacyrequest@whitepages.com",
  • Network accessline 19
    "url": "https://www.whitepages.com/suppression_requests",
  • Network accessline 32
    "via": "email",       "email": "privacyrequest@whitepages.com",       "url": "https://whitepagesprivacy.zendesk.com/hc/en-us/requests/new",
  • Network accessline 33
    "email": "privacyrequest@whitepages.com",       "url": "https://whitepagesprivacy.zendesk.com/hc/en-us/requests/new",       "kinds": ["ccpa", "generic"],
  • Network accessline 34
    "url": "https://whitepagesprivacy.zendesk.com/hc/en-us/requests/new",

optional-skills/security/unbroker/references/methods.md

  • Access to secretsline 250
    [Credential-related source omitted]
  • Access to secretsline 318
    [Credential-related source omitted]

optional-skills/security/unbroker/scripts/autopilot.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 346
    [Credential-related source omitted]
  • Access to secretsline 357
    [Credential-related source omitted]
  • Access to secretsline 477
    [Credential-related source omitted]

optional-skills/security/unbroker/scripts/badbool.py

  • Executable scriptline 1
    Executable file
  • Network accessline 3
    BADBOOL (https://github.com/yaelwrites/Big-Ass-Data-Broker-Opt-Out-List) is a
  • Network accessline 9
    `parse()` is pure (markdown in, records out) so it is tested offline; `fetch()` is
  • Network accessline 20
    DEFAULT_URL = (     "https://raw.githubusercontent.com/yaelwrites/"
  • Network accessline 21
    "https://raw.githubusercontent.com/yaelwrites/"
  • Network accessline 159
    def fetch(url: str = DEFAULT_URL, timeout: int = 30) -> str:
  • Network accessline 160
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
  • Network accessline 161
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 169
    """Fetch (or accept) BADBOOL markdown, parse it, and write the snapshot cache."""
  • Network accessline 170
    md = markdown if markdown is not None else fetch(url)

optional-skills/security/unbroker/scripts/brokers.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/cdp.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 57
    [Credential-related source omitted]
  • Access to secretsline 58
    [Credential-related source omitted]
  • Access to secretsline 59
    [Credential-related source omitted]
  • Network accessline 113
    def _http_get(url: str, timeout: float) -> bytes:     req = urllib.request.Request(url, headers={"User-Agent": "unbroker-cdp/1.0"})
  • Network accessline 114
    req = urllib.request.Request(url, headers={"User-Agent": "unbroker-cdp/1.0"})
  • Network accessline 115
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 125
    url = f"http://{host}:{int(port)}/json/version"

optional-skills/security/unbroker/scripts/config.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 26
    [Credential-related source omitted]
  • Access to secretsline 75
    [Credential-related source omitted]
  • Access to secretsline 76
    [Credential-related source omitted]
  • Access to secretsline 78
    [Credential-related source omitted]
  • Access to secretsline 89
    [Credential-related source omitted]
  • Access to secretsline 95
    [Credential-related source omitted]
  • Access to secretsline 104
    [Credential-related source omitted]
  • Access to secretsline 105
    [Credential-related source omitted]
  • Access to secretsline 144
    [Credential-related source omitted]
  • Access to secretsline 150
    [Credential-related source omitted]
  • Access to secretsline 151
    [Credential-related source omitted]

optional-skills/security/unbroker/scripts/crypto.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/dossier.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/email_modes.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/emailer.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 55
    [Credential-related source omitted]
  • Access to secretsline 69
    [Credential-related source omitted]
  • Network accessline 296
    out: list[dict] = []         for mid in reversed(ids):  # newest first             _typ, msg_data = conn.fetch(mid, "(RFC822)")
  • Network accessline 297
    for mid in reversed(ids):  # newest first             _typ, msg_data = conn.fetch(mid, "(RFC822)")             raw = next((p[1] for p in msg_data or [] if isinstance(p, tuple)), None)
  • Network accessline 298
    _typ, msg_data = conn.fetch(mid, "(RFC822)")

optional-skills/security/unbroker/scripts/ledger.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/legal.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/paths.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 4
    [Credential-related source omitted]
  • Access to secretsline 13
    [Credential-related source omitted]
  • Access to secretsline 17
    [Credential-related source omitted]
  • Access to secretsline 74
    [Credential-related source omitted]

optional-skills/security/unbroker/scripts/pdd.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 16
    python pdd.py plan sub_xxxx --priority crucial   python pdd.py record sub_xxxx spokeo found --found true \       --evidence '{"listing_urls":["https://www.spokeo.com/..."]}'
  • Network accessline 17
    python pdd.py record sub_xxxx spokeo found --found true        --evidence '{"listing_urls":["https://www.spokeo.com/..."]}'
  • Network accessline 18
    --evidence '{"listing_urls":["https://www.spokeo.com/..."]}'
  • Network accessline 19
    python pdd.py render-email sub_xxxx spokeo --listing https://www.spokeo.com/...
  • Access to secretsline 63
    [Credential-related source omitted]
  • Access to secretsline 128
    [Credential-related source omitted]
  • Access to secretsline 146
    [Credential-related source omitted]
  • Access to secretsline 148
    [Credential-related source omitted]
  • Access to secretsline 182
    [Credential-related source omitted]

optional-skills/security/unbroker/scripts/registry.py

  • Executable scriptline 1
    Executable file
  • Network accessline 16
    `parse()` is pure (CSV text in, records out) so it is tested offline; `fetch()` is
  • Network accessline 34
    _CA_CSV = "https://cppa.ca.gov/data_broker_registry/registry{year}.csv"
  • Network accessline 35
    _CA_FLOOR_YEAR = 2025 DEFAULT_URL = _CA_CSV.format(year=_CA_FLOOR_YEAR) DROP_URL = "https://privacy.ca.gov/drop"
  • Network accessline 37
    DROP_URL = "https://privacy.ca.gov/drop"
  • Network accessline 39
    DNC_URL = "https://www.donotcall.gov/register.html"
  • Network accessline 85
    "name": "California Data Broker Registry (CPPA)"},     "vt": {"jurisdiction": "US-VT", "format": "portal", "has_drop": False,            "url": "https://bizfilings.vermont.gov/online/DatabrokerInquire/",
  • Network accessline 86
    "vt": {"jurisdiction": "US-VT", "format": "portal", "has_drop": False,            "url": "https://bizfilings.vermont.gov/online/DatabrokerInquire/",            "name": "Vermont Data Broker Registry (Secretary of State)"},
  • Network accessline 87
    "url": "https://bizfilings.vermont.gov/online/DatabrokerInquire/",
  • Network accessline 88
    "name": "Vermont Data Broker Registry (Secretary of State)"},     "or": {"jurisdiction": "US-OR", "format": "portal", "has_drop": False,            "url": "https://dfr.oregon.gov/business/licensing/data-broker-registry/Pages/index.aspx",
  • Network accessline 89
    "or": {"jurisdiction": "US-OR", "format": "portal", "has_drop": False,            "url": "https://dfr.oregon.gov/business/licensing/data-broker-registry/Pages/index.aspx",            "name": "Oregon Data Broker Registry (DCBS)"},
  • Network accessline 90
    "url": "https://dfr.oregon.gov/business/licensing/data-broker-registry/Pages/index.aspx",
  • Network accessline 91
    "name": "Oregon Data Broker Registry (DCBS)"},     "tx": {"jurisdiction": "US-TX", "format": "portal", "has_drop": False,            "url": "https://texas-sos.appianportalsgov.com/data-broker-registry",
  • Network accessline 92
    "tx": {"jurisdiction": "US-TX", "format": "portal", "has_drop": False,            "url": "https://texas-sos.appianportalsgov.com/data-broker-registry",            "name": "Texas Data Broker Registry (Secretary of State)"},
  • Network accessline 93
    "url": "https://texas-sos.appianportalsgov.com/data-broker-registry",
  • Network accessline 244
    def fetch(url: str = DEFAULT_URL, timeout: int = 60) -> str:
  • Network accessline 245
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
  • Network accessline 246
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 253
    for url in ca_candidate_urls():         try:             recs = parse(fetch(url), jurisdiction="US-CA", has_drop=True)
  • Network accessline 254
    try:             recs = parse(fetch(url), jurisdiction="US-CA", has_drop=True)         except Exception:
  • Network accessline 255
    recs = parse(fetch(url), jurisdiction="US-CA", has_drop=True)
  • Network accessline 265
    """CA single-source refresh: fetch (or accept) the CA CSV and write the cache."""
  • Network accessline 266
    text = csv_text if csv_text is not None else fetch(url)
  • Network accessline 298
    used_url, recs = _fetch_ca_latest()   # newest-year-first with fallback             else:                 recs = parse(fetch(src["url"]), jurisdiction=src["jurisdiction"], has_drop=src["has_drop"])
  • Network accessline 299
    else:                 recs = parse(fetch(src["url"]), jurisdiction=src["jurisdiction"], has_drop=src["has_drop"])         except Exception as exc:
  • Network accessline 300
    recs = parse(fetch(src["url"]), jurisdiction=src["jurisdiction"], has_drop=src["has_drop"])

optional-skills/security/unbroker/scripts/report.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/scan.py

  • Executable scriptline 1
    Executable file
  • Network accessline 16
    def fetch(url: str, timeout: int = 20) -> tuple[int, str]:
  • Network accessline 17
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
  • Network accessline 18
    try:         with urllib.request.urlopen(req, timeout=timeout) as resp:             charset = resp.headers.get_content_charset() or "utf-8"
  • Network accessline 19
    with urllib.request.urlopen(req, timeout=timeout) as resp:

optional-skills/security/unbroker/scripts/storage.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/tiers.py

  • Executable scriptline 1
    Executable file

optional-skills/security/unbroker/scripts/vectors.py

  • Executable scriptline 1
    Executable file

optional-skills/security/web-pentest/SKILL.md

  • Dangerous shell operationline 146
    2. **Inventory sinks** — every `execute(`, `os.system(`, `eval(`,
  • Network accessline 180
    whatweb -v $TARGET_URL > evidence/whatweb.txt    curl -sIk $TARGET_URL > evidence/headers.txt
  • Network accessline 181
    curl -sIk $TARGET_URL > evidence/headers.txt
  • Network accessline 258
    - Full request (method, URL, headers, body)    - Response (status, headers, relevant body excerpt)    - Reproducer command (curl one-liner)
  • Network accessline 259
    - Response (status, headers, relevant body excerpt)    - Reproducer command (curl one-liner)    - Impact statement
  • Network accessline 260
    - Reproducer command (curl one-liner)

optional-skills/security/web-pentest/references/bypass-techniques.md

  • Dangerous shell operationline 64
    - `onerror=eval('alert(1)')` → `onerror=eval(name)` + set
  • Network accessline 106
    resolution (TTL=0) - DNS records that resolve to internal IPs: `localtest.me` (127.0.0.1) - URL parsing differentials: `http://allowed-host@127.0.0.1`,
  • Network accessline 107
    - DNS records that resolve to internal IPs: `localtest.me` (127.0.0.1) - URL parsing differentials: `http://allowed-host@127.0.0.1`,   `http://127.0.0.1#@allowed-host`
  • Network accessline 108
    - URL parsing differentials: `http://allowed-host@127.0.0.1`,
  • Network accessline 109
    `http://127.0.0.1#@allowed-host`
  • Network accessline 110
    - IDN homograph: `http://1.0.0.1` (fullwidth dots)

optional-skills/security/web-pentest/references/exploitation-techniques.md

  • Network accessline 65
    Witness: `<svg/onload=fetch("/HERMES-PENTEST-XSS-"+document.cookie)>`
  • Network accessline 76
    Pattern: `<svg/onload=fetch("/HERMES-${runId}-${vulnId}")>`. Add a
  • Network accessline 163
    - Operator-owned callback (`https://hermes-callback.example/abcdef`)
  • Network accessline 164
    — confirms the request left the target's network - Internal recon (operator OK + scope): `http://127.0.0.1:6379/`,   `http://127.0.0.1:9200/`, `http://[::1]:80/`
  • Network accessline 165
    - Internal recon (operator OK + scope): `http://127.0.0.1:6379/`,
  • Network accessline 166
    `http://127.0.0.1:9200/`, `http://[::1]:80/`
  • Network accessline 168
    Cloud metadata (operator OK + your own infra): - AWS: `http://169.254.169.254/latest/meta-data/iam/security-credentials/`
  • Network accessline 169
    - AWS: `http://169.254.169.254/latest/meta-data/iam/security-credentials/`
  • Network accessline 170
    - GCP: `http://metadata.google.internal/computeMetadata/v1/` (needs
  • Network accessline 171
    `Metadata-Flavor: Google`) - Azure: `http://169.254.169.254/metadata/identity/oauth2/token` - Alibaba/Aliyun: `http://100.100.100.200/`
  • Network accessline 172
    - Azure: `http://169.254.169.254/metadata/identity/oauth2/token`
  • Network accessline 173
    - Alibaba/Aliyun: `http://100.100.100.200/`
  • Network accessline 187
    default landing pages (`/server-status`, `/.git/`, `/.env`, `/phpinfo.php`) - Default creds: only on lab targets - Open redirects: `?next=https://evil.example/` — confirms misuse for
  • Network accessline 188
    - Default creds: only on lab targets - Open redirects: `?next=https://evil.example/` — confirms misuse for   phishing chains
  • Network accessline 189
    - Open redirects: `?next=https://evil.example/` — confirms misuse for

optional-skills/security/web-pentest/references/scope-enforcement.md

  • Network accessline 42
    | Surface | Where the host lives | Example | |---------|----------------------|---------| | `curl URL` | The URL | `curl https://staging.example.com/login` |
  • Network accessline 43
    |---------|----------------------|---------| | `curl URL` | The URL | `curl https://staging.example.com/login` | | `curl --resolve HOST:PORT:ADDR` | HOST | reject — resolve overrides scope |
  • Network accessline 44
    | `curl URL` | The URL | `curl https://staging.example.com/login` |
  • Network accessline 45
    | `curl --resolve HOST:PORT:ADDR` | HOST | reject — resolve overrides scope |
  • Network accessline 46
    | `nmap TARGET` | Each TARGET arg | `nmap 10.0.5.5 staging.example.com` | | `whatweb URL` | The URL | `whatweb https://staging.example.com` | | `browser_exec` `new_tab(url)` / `goto_url(url)` | The URL | python-side: extract host from `url`
  • Network accessline 47
    | `whatweb URL` | The URL | `whatweb https://staging.example.com` |
  • Network accessline 106
    {"ts": "2026-05-25T03:14:15Z", "method": "GET", "url": "https://staging.example.com/api/users", "host": "staging.example.com", "in_scope": true, "phase": "recon", "result_status": 200, "evidence_ref": "evidence/recon.md#endpoints"}

optional-skills/security/web-pentest/references/vuln-taxonomy.md

  • Network accessline 20
    | `CMD-shell` | `os.system("ls " + v)` | DON'T — refactor to argv list | | `PATH-segment` | `open("/data/" + v)` | Normalize + allowlist + base-relative check | | `URL-host` | redirect to `https://${v}/x` | Allowlist of acceptable hosts |
  • Network accessline 21
    | `PATH-segment` | `open("/data/" + v)` | Normalize + allowlist + base-relative check | | `URL-host` | redirect to `https://${v}/x` | Allowlist of acceptable hosts | | `URL-fetch` | `requests.get(v)` | Allowlist + block private/metadata IPs
  • Network accessline 22
    | `URL-host` | redirect to `https://${v}/x` | Allowlist of acceptable hosts | | `URL-fetch` | `requests.get(v)` | Allowlist + block private/metadata IPs (SSRF) | | `TEMPLATE-string` | `Template("Hello {{ v }}")` | Autoescape ON, no user-con
  • Network accessline 23
    | `URL-fetch` | `requests.get(v)` | Allowlist + block private/metadata IPs (SSRF) |

optional-skills/security/web-pentest/scripts/recon-scan.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 2
    # Rate-limited recon scan wrapper for the web-pentest skill. # Wraps nmap + whatweb + curl headers; enforces scope.txt.
  • Network accessline 3
    # Wraps nmap + whatweb + curl headers; enforces scope.txt.
  • Network accessline 6
    # # Example: #   recon-scan.sh engagement-20260525-031415 http://127.0.0.1:9119
  • Network accessline 8
    #   recon-scan.sh engagement-20260525-031415 http://127.0.0.1:9119
  • Network accessline 91
    echo "[recon-scan] fetching headers..." HEADERS_FILE="$EVIDENCE_DIR/headers.txt" curl -sSIk --max-time 15 -A "hermes-pentest/recon" "$TARGET_URL" > "$HEADERS_FILE" || true
  • Network accessline 92
    HEADERS_FILE="$EVIDENCE_DIR/headers.txt" curl -sSIk --max-time 15 -A "hermes-pentest/recon" "$TARGET_URL" > "$HEADERS_FILE" || true sleep 0.2
  • Network accessline 93
    curl -sSIk --max-time 15 -A "hermes-pentest/recon" "$TARGET_URL" > "$HEADERS_FILE" || true
  • Network accessline 107
    for path in robots.txt sitemap.xml .well-known/security.txt; do   outfile="$EVIDENCE_DIR/$(echo "$path" | tr / _).txt"   curl -sSk --max-time 10 -A "hermes-pentest/recon" -o "$outfile" -w "%{http_code}\n" "$TARGET_URL/$path" \
  • Network accessline 108
    outfile="$EVIDENCE_DIR/$(echo "$path" | tr / _).txt"   curl -sSk --max-time 10 -A "hermes-pentest/recon" -o "$outfile" -w "%{http_code}\n" "$TARGET_URL/$path" \        > "$outfile.status" || true
  • Network accessline 109
    curl -sSk --max-time 10 -A "hermes-pentest/recon" -o "$outfile" -w "%{http_code}\n" "$TARGET_URL/$path" \

optional-skills/security/web-pentest/templates/authorization.md

  • Network accessline 14
    - Primary URL(s):   - https://...
  • Network accessline 15
    - https://...

optional-skills/security/web-pentest/templates/exploitation-queue.json

  • Network accessline 10
    "endpoint": {         "method": "GET",         "url": "https://target.example/api/items",
  • Network accessline 11
    "method": "GET",         "url": "https://target.example/api/items",         "parameter": "id",
  • Network accessline 12
    "url": "https://target.example/api/items",

optional-skills/security/web-pentest/templates/pentest-report.md

  • Network accessline 64
    - **CVSS 3.1 base score:** N.N - **CWE:** CWE-XX - **Affected endpoint(s):** `GET https://target.example/api/...`
  • Network accessline 65
    - **CWE:** CWE-XX - **Affected endpoint(s):** `GET https://target.example/api/...` - **Affected parameter(s):** `id`
  • Network accessline 66
    - **Affected endpoint(s):** `GET https://target.example/api/...`
  • Network accessline 96
    curl -sS 'https://target.example/api/items?id=1%27%20OR%201=1--' \
  • Network accessline 143
    - The application sends to `https://third-party.example/...` — payload

optional-skills/smart-home/openhue/SKILL.md

  • Network accessline 9
    hermes:     tags: [Smart-Home, Hue, Lights, IoT, Automation]     homepage: https://www.openhue.io/cli
  • Network accessline 10
    tags: [Smart-Home, Hue, Lights, IoT, Automation]     homepage: https://www.openhue.io/cli prerequisites:
  • Network accessline 11
    homepage: https://www.openhue.io/cli
  • Network accessline 23
    # Linux (pre-built binary — releases ship tarballs, not bare binaries) curl -sL "https://github.com/openhue/openhue-cli/releases/latest/download/openhue_Linux_x86_64.tar.gz" \
  • Network accessline 24
    curl -sL "https://github.com/openhue/openhue-cli/releases/latest/download/openhue_Linux_x86_64.tar.gz" \

optional-skills/social-media/reddit-reading/SKILL.md

  • Network accessline 17
    comments, and user activity — from a server or headless machine where the normal routes are dead. It does not post, vote, or log in as a user. Idea credit: the per-platform backend routing in [Agent Reach](https://github.com/Panniantong/Age
  • Network accessline 19
    backend routing in [Agent Reach](https://github.com/Panniantong/Agent-Reach).
  • Network accessline 37
    **Optional upgrade (app credentials, still no user login):** for sustained use or full data, register a free "script" type app at https://www.reddit.com/prefs/apps and put its
  • Network accessline 38
    data, register a free "script" type app at https://www.reddit.com/prefs/apps and put its
  • Access to secretsline 43
    [Credential-related source omitted]
  • Access to secretsline 47
    [Credential-related source omitted]
  • Network accessline 65
    python3 scripts/reddit.py sub LocalLLaMA --sort hot --limit 15 python3 scripts/reddit.py search "hermes agent" --sub LocalLLaMA --sort new python3 scripts/reddit.py thread https://www.reddit.com/r/x/comments/abc123/slug/ --limit 40
  • Network accessline 66
    python3 scripts/reddit.py search "hermes agent" --sub LocalLLaMA --sort new python3 scripts/reddit.py thread https://www.reddit.com/r/x/comments/abc123/slug/ --limit 40 python3 scripts/reddit.py user spez --limit 10
  • Network accessline 67
    python3 scripts/reddit.py thread https://www.reddit.com/r/x/comments/abc123/slug/ --limit 40
  • Access to secretsline 104
    [Credential-related source omitted]

optional-skills/social-media/reddit-reading/scripts/reddit.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 6
    [Credential-related source omitted]
  • Access to secretsline 6
    [Credential-related source omitted]
  • Network accessline 7
    app-only ``client_credentials`` grant for a free "script" app registered at   https://www.reddit.com/prefs/apps. No username, password or cookie is ever used and   the script never acts as a user. ~100 requests/minute, full JSON including s
  • Network accessline 8
    https://www.reddit.com/prefs/apps. No username, password or cookie is ever used and
  • Network accessline 16
    python3 reddit.py sub LocalLLaMA [--sort hot|new|top] [--limit N]     python3 reddit.py search "hermes agent" [--sub LocalLLaMA] [--sort new] [--limit N]     python3 reddit.py thread https://www.reddit.com/r/x/comments/abc123/... [--limit N
  • Network accessline 17
    python3 reddit.py search "hermes agent" [--sub LocalLLaMA] [--sort new] [--limit N]     python3 reddit.py thread https://www.reddit.com/r/x/comments/abc123/... [--limit N]     python3 reddit.py user spez [--limit N]
  • Network accessline 18
    python3 reddit.py thread https://www.reddit.com/r/x/comments/abc123/... [--limit N]
  • Network accessline 40
    USER_AGENT = "hermes-agent/1.0 (reddit-reading skill; +https://github.com/NousResearch/hermes-agent)"
  • Network accessline 41
    TIMEOUT = 25 ATOM = {"a": "http://www.w3.org/2005/Atom"} WWW = "https://www.reddit.com"
  • Network accessline 42
    ATOM = {"a": "http://www.w3.org/2005/Atom"}
  • Network accessline 43
    WWW = "https://www.reddit.com"
  • Network accessline 44
    OAUTH = "https://oauth.reddit.com"
  • Network accessline 62
    hdrs = {"User-Agent": USER_AGENT, "Accept": "*/*"}     hdrs.update(headers or {})     req = urllib.request.Request(url, headers=hdrs)
  • Network accessline 63
    hdrs.update(headers or {})     req = urllib.request.Request(url, headers=hdrs)     try:
  • Network accessline 64
    req = urllib.request.Request(url, headers=hdrs)
  • Network accessline 65
    try:         with urllib.request.urlopen(req, timeout=TIMEOUT) as resp:             return resp.read(), dict(resp.headers)
  • Network accessline 66
    with urllib.request.urlopen(req, timeout=TIMEOUT) as resp:
  • Access to secretsline 91
    [Credential-related source omitted]
  • Network accessline 96
    body = urllib.parse.urlencode({"grant_type": "client_credentials"}).encode()     auth = base64.b64encode(f"{cid}:{secret}".encode()).decode()     req = urllib.request.Request(
  • Network accessline 97
    auth = base64.b64encode(f"{cid}:{secret}".encode()).decode()     req = urllib.request.Request(         f"{WWW}/api/v1/access_token", data=body,
  • Network accessline 98
    req = urllib.request.Request(
  • Access to secretsline 99
    [Credential-related source omitted]
  • Network accessline 100
    [Credential-related source omitted]
  • Network accessline 101
    )     with urllib.request.urlopen(req, timeout=TIMEOUT) as resp:         return json.loads(resp.read())["access_token"]
  • Network accessline 102
    with urllib.request.urlopen(req, timeout=TIMEOUT) as resp:
  • Access to secretsline 103
    [Credential-related source omitted]
  • Access to secretsline 187
    [Credential-related source omitted]
  • Access to secretsline 250
    [Credential-related source omitted]
  • Network accessline 271
    for p in result:         score = f" ↑{p['score']}" if p.get("score") is not None else ""         nc = f" 💬{p['num_comments']}" if p.get("num_comments") is not None else ""
  • Network accessline 272
    score = f" ↑{p['score']}" if p.get("score") is not None else ""         nc = f" 💬{p['num_comments']}" if p.get("num_comments") is not None else ""         lines.append(f"- {p.get('title') or p.get('body', '')[:80]}{score}{nc}  — u/{p.get('a
  • Network accessline 273
    nc = f" 💬{p['num_comments']}" if p.get("num_comments") is not None else ""

optional-skills/software-development/ast-grep/SKILL.md

  • Network accessline 21
    Upstream source: vendored from [code-yeongyu/ast-grep-skill](https://github.com/code-yeongyu/ast-grep-skill) (MIT), as shipped in oh-my-openagent's shared-skills bundle.
  • Network accessline 232
    3. **Inspect the parsed pattern**: `sg run -p '<pattern>' --lang <lang> --debug-query=ast --stdin <<< '<sample>'`. If it shows `ERROR` nodes, the pattern is malformed. 4. **Check the AST of the target file**: `sg run -p '$_' --lang <lang> -
  • Network accessline 234
    5. **Try the playground**: <https://ast-grep.github.io/playground.html> — paste code + pattern, see what's happening.

optional-skills/software-development/ast-grep/install.ps1

  • Executable scriptline 1
    Executable file
  • Network accessline 155
    $asset = "app-$triple.zip"     $url = "https://github.com/ast-grep/ast-grep/releases/download/$Version/$asset"
  • Network accessline 156
    $url = "https://github.com/ast-grep/ast-grep/releases/download/$Version/$asset"
  • Network accessline 232
    Err "  cargo install ast-grep --locked                        # any OS with Rust" Err "  pip install ast-grep-cli                               # any OS with Python" Err "  https://github.com/ast-grep/ast-grep/releases          # manual bin
  • Network accessline 233
    Err "  pip install ast-grep-cli                               # any OS with Python" Err "  https://github.com/ast-grep/ast-grep/releases          # manual binary" exit 2
  • Network accessline 234
    Err "  https://github.com/ast-grep/ast-grep/releases          # manual binary"

optional-skills/software-development/ast-grep/install.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Access to secretsline 154
    [Credential-related source omitted]
  • Network accessline 189
    command -v curl >/dev/null 2>&1 || command -v wget >/dev/null 2>&1 || {
  • Network accessline 190
    err "need curl or wget for GitHub fallback"
  • Network accessline 194
    ASSET="app-${TRIPLE}.zip"   URL="https://github.com/ast-grep/ast-grep/releases/download/${PINNED_VERSION}/${ASSET}"
  • Network accessline 195
    URL="https://github.com/ast-grep/ast-grep/releases/download/${PINNED_VERSION}/${ASSET}"
  • Dangerous shell operationline 197
    trap 'rm -rf "$TMP"' RETURN
  • Network accessline 199
    log "downloading $URL"
  • Network accessline 200
    if command -v curl >/dev/null 2>&1; then
  • Network accessline 201
    curl -fsSL "$URL" -o "$TMP/$ASSET" || return 3
  • Network accessline 202
    else     wget -q "$URL" -O "$TMP/$ASSET" || return 3   fi
  • Network accessline 203
    wget -q "$URL" -O "$TMP/$ASSET" || return 3
  • Network accessline 283
    err "  cargo install ast-grep --locked       # any OS with Rust" err "  pip install ast-grep-cli              # any OS with Python" err "  https://github.com/ast-grep/ast-grep/releases   # manual binary"
  • Network accessline 284
    err "  pip install ast-grep-cli              # any OS with Python" err "  https://github.com/ast-grep/ast-grep/releases   # manual binary" exit 2
  • Network accessline 285
    err "  https://github.com/ast-grep/ast-grep/releases   # manual binary"

optional-skills/software-development/ast-grep/references/cli.md

  • Network accessline 229
    - `references/yaml-rules.md` — rule schema (`pattern`, `kind`, `regex`, `inside`, `has`, `all`, `any`, `not`, `matches`, `transform`, `fix`). - `references/sgconfig.md` — project configuration. - Official: <https://ast-grep.github.io/refere
  • Network accessline 231
    - Official: <https://ast-grep.github.io/reference/cli.html>

optional-skills/software-development/ast-grep/references/install.md

  • Dangerous shell operationline 20
    sudo port install ast-grep             # MacPorts
  • Network accessline 85
    # 1. Pick the right asset for your OS+arch from the latest release: #    https://github.com/ast-grep/ast-grep/releases/latest
  • Network accessline 86
    #    https://github.com/ast-grep/ast-grep/releases/latest
  • Network accessline 97
    VERSION=0.45.0 TRIPLE=aarch64-apple-darwin curl -fsSL "https://github.com/ast-grep/ast-grep/releases/download/${VERSION}/app-${TRIPLE}.zip" -o ~/.hermes/cache/scratch/ast-grep.zip
  • Network accessline 98
    TRIPLE=aarch64-apple-darwin curl -fsSL "https://github.com/ast-grep/ast-grep/releases/download/${VERSION}/app-${TRIPLE}.zip" -o ~/.hermes/cache/scratch/ast-grep.zip unzip ~/.hermes/cache/scratch/ast-grep.zip -d ~/.hermes/cache/scratch/ast-g
  • Network accessline 99
    curl -fsSL "https://github.com/ast-grep/ast-grep/releases/download/${VERSION}/app-${TRIPLE}.zip" -o ~/.hermes/cache/scratch/ast-grep.zip
  • Dangerous shell operationline 101
    sudo mv ~/.hermes/cache/scratch/ast-grep/ast-grep /usr/local/bin/sg
  • Dangerous shell operationline 102
    sudo chmod +x /usr/local/bin/sg
  • Network accessline 115
    git clone https://github.com/ast-grep/ast-grep.git
  • Network accessline 145
    - **VS Code**: install the [`ast-grep`](https://marketplace.visualstudio.com/items?itemName=ast-grep.ast-grep-vscode) extension. Requires `sgconfig.yml` in workspace root for live diagnostics.
  • Network accessline 146
    - **Neovim**: configure `nvim-lspconfig` with `ast_grep` server, or install [`telescope-ast-grep.nvim`](https://github.com/ray-x/telescope-ast-grep.nvim).
  • Network accessline 148
    - **Emacs**: install [`ast-grep.el`](https://github.com/SunskyXH/ast-grep.el).
  • Dangerous shell operationline 166
    | GitHub binary | `rm <skill_root>/bin/sg` |

optional-skills/software-development/ast-grep/references/patterns.md

  • Network accessline 125
    The web playground is also fast: <https://ast-grep.github.io/playground.html>.
  • Network accessline 145
    - `references/recipes.md` — copy-paste-ready patterns for TS/JS/Py/Go/Rust. - `references/yaml-rules.md` — `kind`, `regex`, `inside`, `has`, `all`, `any`, `not`, `matches`. - Official: <https://ast-grep.github.io/guide/pattern-syntax.html>
  • Network accessline 147
    - Official: <https://ast-grep.github.io/guide/pattern-syntax.html>

optional-skills/software-development/ast-grep/references/pitfalls.md

  • Network accessline 153
    Or open <https://ast-grep.github.io/playground.html> and click on a node to see its `kind`.
  • Dangerous shell operationline 277
    ast-grep is great when *the syntactic shape* is what you care about: "find every call to `eval(...)`", "find every `as any`", "find every empty catch block." It is weak for "find every variable that's never used."
  • Network accessline 285
    1. Open <https://ast-grep.github.io/playground.html>.

optional-skills/software-development/ast-grep/references/recipes.md

  • Network accessline 400
    - `references/yaml-rules.md` — full YAML rule schema (atomic / relational / composite / transform / fix). - `references/cli.md` — `sg run`, `sg scan`, `sg test`, `sg new`. - Official catalog: <https://ast-grep.github.io/catalog/> (community
  • Network accessline 402
    - Official catalog: <https://ast-grep.github.io/catalog/> (community-maintained, browse by language).

optional-skills/software-development/ast-grep/references/sgconfig.md

  • Network accessline 235
    # yaml-language-server: $schema=https://raw.githubusercontent.com/ast-grep/ast-grep/main/schemas/rule.json
  • Network accessline 246
    - `references/yaml-rules.md` — rule schema (atomic / relational / composite / transform / fix). - `references/cli.md` — `sg scan`, `sg test`, `sg new project`. - Official: <https://ast-grep.github.io/reference/sgconfig.html>, <https://ast-g
  • Network accessline 248
    - Official: <https://ast-grep.github.io/reference/sgconfig.html>, <https://ast-grep.github.io/guide/project/project-config.html>

optional-skills/software-development/ast-grep/references/yaml-rules.md

  • Network accessline 7
    - <https://ast-grep.github.io/reference/yaml.html>
  • Network accessline 8
    - <https://ast-grep.github.io/reference/rule.html>
  • Network accessline 9
    - <https://ast-grep.github.io/cheatsheet/rule.html>
  • Network accessline 23
    Use a proper logger so we can route logs to stderr in production   and silence them in tests. url: https://internal.docs/rules/no-console
  • Network accessline 25
    url: https://internal.docs/rules/no-console
  • Network accessline 506
    - `references/cli.md` — `sg scan`, `sg test`. - `references/sgconfig.md` — project-level configuration. - Official rule reference: <https://ast-grep.github.io/reference/rule.html>
  • Network accessline 507
    - `references/sgconfig.md` — project-level configuration. - Official rule reference: <https://ast-grep.github.io/reference/rule.html> - Cheat sheets: <https://ast-grep.github.io/cheatsheet/rule.html>, <https://ast-grep.github.io/cheatsheet/
  • Network accessline 508
    - Official rule reference: <https://ast-grep.github.io/reference/rule.html>
  • Network accessline 509
    - Cheat sheets: <https://ast-grep.github.io/cheatsheet/rule.html>, <https://ast-grep.github.io/cheatsheet/yaml.html>

optional-skills/software-development/ast-grep/scripts/ast_grep_helper.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 209
    [Credential-related source omitted]
  • Access to secretsline 236
    [Credential-related source omitted]

optional-skills/software-development/ast-grep/tests/smoke.ps1

  • Executable scriptline 1
    Executable file

optional-skills/software-development/ast-grep/tests/smoke.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Dangerous shell operationline 26
    trap 'rm -rf "$OUTPUT_DIR"' EXIT

optional-skills/software-development/code-wiki/SKILL.md

  • Network accessline 170
    For link targets in local mode use relative paths. For cloned repos use `https://github.com/<owner>/<repo>/blob/<sha>/<path>` so links survive future commits.
  • Dangerous shell operationline 391
    If you cloned to a temp dir, remind the user it can be removed (`rm -rf "$WIKI_TMP"`) after they've reviewed the wiki.

optional-skills/software-development/inspecting-hermes-desktop-dom/SKILL.md

  • Network accessline 59
    curl -s --max-time 3 http://127.0.0.1:${HERMES_DESKTOP_CDP_PORT:-9222}/json/version
  • Network accessline 124
    cd apps/desktop HERMES_HOME=$HOME/.hermes/cache/scratch/cdp-probe-home \ HERMES_DESKTOP_DEV_SERVER=http://127.0.0.1:5174 \
  • Network accessline 125
    HERMES_HOME=$HOME/.hermes/cache/scratch/cdp-probe-home  HERMES_DESKTOP_DEV_SERVER=http://127.0.0.1:5174
  • Network accessline 126
    HERMES_DESKTOP_DEV_SERVER=http://127.0.0.1:5174 \

optional-skills/software-development/node-inspect-debugger/SKILL.md

  • Network accessline 214
    # 3. Find the WS URL curl -s http://127.0.0.1:9229/json/list | jq -r '.[0].webSocketDebuggerUrl'
  • Network accessline 215
    curl -s http://127.0.0.1:9229/json/list | jq -r '.[0].webSocketDebuggerUrl'
  • Network accessline 270
    curl -s http://127.0.0.1:9229/json/list   # lists all inspectable targets on the host
  • Network accessline 285
    - [ ] `curl -s http://127.0.0.1:9229/json/list` returns exactly the target you expect

optional-skills/software-development/pr-lens/SKILL.md

  • Network accessline 11
    category: software-development     related_skills: []     upstream: https://github.com/coldteadotai/pr-lens (pinned 0993b4d)
  • Network accessline 12
    related_skills: []     upstream: https://github.com/coldteadotai/pr-lens (pinned 0993b4d) ---
  • Network accessline 13
    upstream: https://github.com/coldteadotai/pr-lens (pinned 0993b4d)
  • Network accessline 62
    [Credential-related source omitted]
  • Network accessline 145
    Adapted from [coldteadotai/pr-lens](https://github.com/coldteadotai/pr-lens) (packages/agent-skill, pinned 0993b4d), MIT License, Copyright (c) 2026 Coldtea AI. See LICENSE.txt.

optional-skills/software-development/pr-lens/references/config.md

  • Network accessline 29
    { "$ref": "https://unpkg.com/@coldtea/pr-lens-schema/json-schema/config.schema.json" }

optional-skills/software-development/pr-lens/references/example.graph.json

  • Network accessline 26
    "number": 128,       "title": "Send broadcasts in batches of 500",       "url": "https://github.com/ohansemmanuel/bestregards/pull/128"
  • Network accessline 27
    "title": "Send broadcasts in batches of 500",       "url": "https://github.com/ohansemmanuel/bestregards/pull/128"     },
  • Network accessline 28
    "url": "https://github.com/ohansemmanuel/bestregards/pull/128"

optional-skills/software-development/pr-lens/references/graph-document.md

  • Network accessline 7
    The validator enforces the same thing from a JSON Schema, published at `https://unpkg.com/@coldtea/pr-lens-schema/json-schema/graph-doc.schema.json` if you want it machine-readable.

optional-skills/software-development/python-debugpy/SKILL.md

  • Network accessline 147
    For Hermes, use a separate development checkout and data home, not a live production generation. Follow the [PM developer workflow](https://hermes-agent.nousresearch.com/docs/reference/package-management#developer-workflow)
  • Network accessline 148
    production generation. Follow the [PM developer workflow](https://hermes-agent.nousresearch.com/docs/reference/package-management#developer-workflow) and activate that checkout — PowerShell: `. .\activate.ps1`. The declared `dev`
  • Network accessline 149
    [PM developer workflow](https://hermes-agent.nousresearch.com/docs/reference/package-management#developer-workflow)
  • Dangerous shell operationline 206
    echo 0 | sudo tee /proc/sys/kernel/yama/ptrace_scope
  • Network accessline 219
    HOST, PORT = "127.0.0.1", 5678 s = socket.create_connection((HOST, PORT))
  • Network accessline 220
    s = socket.create_connection((HOST, PORT))
  • Network accessline 284
    nc 127.0.0.1 4444
  • Network accessline 316
    Trigger the matching slash command from the TUI, then `nc 127.0.0.1 4444` in another terminal.
  • Network accessline 384
    Trigger the handler. `nc 127.0.0.1 4444`, then `w` to see the suspended frame, `!import asyncio; asyncio.all_tasks()` to see what else is pending.

optional-skills/software-development/rest-graphql-debug/SKILL.md

  • Network accessline 49
    # Verbose request/response exchange terminal('curl -v https://api.example.com/users/1')
  • Network accessline 50
    terminal('curl -v https://api.example.com/users/1')
  • Network accessline 52
    # POST with JSON terminal("""curl -X POST https://api.example.com/users \\
  • Network accessline 53
    terminal("""curl -X POST https://api.example.com/users \\
  • Network accessline 58
    # Headers only terminal('curl -sI https://api.example.com/health')
  • Network accessline 59
    terminal('curl -sI https://api.example.com/health')
  • Network accessline 61
    # Pretty-print JSON terminal('curl -s https://api.example.com/users | python -m json.tool')
  • Dangerous shell operationline 62
    terminal('curl -s https://api.example.com/users | python -m json.tool')
  • Network accessline 62
    terminal('curl -s https://api.example.com/users | python -m json.tool')
  • Network accessline 68
    terminal("""curl -X POST https://api.example.com/graphql \\
  • Network accessline 77
    execute_code(''' import os, requests resp = requests.post(
  • Network accessline 78
    import os, requests resp = requests.post(     "https://api.example.com/graphql",
  • Network accessline 79
    resp = requests.post(
  • Network accessline 80
    "https://api.example.com/graphql",
  • Access to secretsline 82
    [Credential-related source omitted]
  • Network accessline 96
    execute_code(''' import requests resp = requests.get(
  • Network accessline 97
    import requests resp = requests.get(     "https://api.example.com/users/1",
  • Network accessline 98
    resp = requests.get(
  • Network accessline 99
    "https://api.example.com/users/1",
  • Network accessline 113
    terminal('nslookup api.example.com') terminal('curl -v --connect-timeout 5 https://api.example.com/health')
  • Network accessline 114
    terminal('curl -v --connect-timeout 5 https://api.example.com/health')
  • Network accessline 124
    terminal('''curl -w "dns:%{time_namelookup}s connect:%{time_connect}s tls:%{time_appconnect}s ttfb:%{time_starttransfer}s total:%{time_total}s\\n" \\
  • Network accessline 125
    -o /dev/null -s https://api.example.com/endpoint''')
  • Network accessline 133
    from requests.exceptions import ConnectTimeout, ReadTimeout try:     requests.get(url, timeout=(3.05, 30))
  • Network accessline 134
    try:     requests.get(url, timeout=(3.05, 30)) except ConnectTimeout:
  • Network accessline 135
    requests.get(url, timeout=(3.05, 30))
  • Network accessline 148
    terminal('curl -vI https://api.example.com 2>&1 | grep -E "SSL|subject|expire|issuer"')
  • Network accessline 156
    [Credential-related source omitted]
  • Network accessline 157
    [Credential-related source omitted]
  • Access to secretsline 162
    [Credential-related source omitted]
  • Access to secretsline 173
    [Credential-related source omitted]
  • Network accessline 178
    terminal("""curl -v -X POST https://api.example.com/endpoint \\
  • Network accessline 186
    # WRONG — data= sends form-encoded, header lies requests.post(url, data='{"k":"v"}', headers={"Content-Type": "application/json"})
  • Network accessline 187
    requests.post(url, data='{"k":"v"}', headers={"Content-Type": "application/json"})
  • Network accessline 189
    # RIGHT — json= auto-sets header AND serializes requests.post(url, json={"k": "v"})
  • Network accessline 190
    requests.post(url, json={"k": "v"})
  • Network accessline 192
    # WRONG — Accept says XML, code calls .json() requests.get(url, headers={"Accept": "text/xml"})
  • Network accessline 193
    requests.get(url, headers={"Accept": "text/xml"})
  • Network accessline 195
    # RIGHT — let requests build multipart with boundary requests.post(url, files={"file": open("doc.pdf", "rb")})
  • Network accessline 196
    requests.post(url, files={"file": open("doc.pdf", "rb")})
  • Network accessline 206
    execute_code(''' import requests resp = requests.post(url, json=payload, timeout=10)
  • Network accessline 207
    import requests resp = requests.post(url, json=payload, timeout=10) print(f"status={resp.status_code}")
  • Network accessline 208
    resp = requests.post(url, json=payload, timeout=10)
  • Network accessline 234
    1. `Authorization` header actually present? (`curl -v` to confirm)
  • Access to secretsline 237
    [Credential-related source omitted]
  • Network accessline 274
    def with_backoff(method, url, **kwargs):     for attempt in range(5):         resp = requests.request(method, url, **kwargs)
  • Network accessline 275
    for attempt in range(5):         resp = requests.request(method, url, **kwargs)         if resp.status_code != 429:
  • Network accessline 276
    resp = requests.request(method, url, **kwargs)
  • Network accessline 320
    resp = requests.get(f"{BASE}/users/1", headers=HEADERS, timeout=10)
  • Network accessline 334
    execute_code(''' import requests resp = requests.post(url, json=payload, headers=headers, timeout=10)
  • Network accessline 335
    import requests resp = requests.post(url, json=payload, headers=headers, timeout=10) request_id = (
  • Network accessline 336
    resp = requests.post(url, json=payload, headers=headers, timeout=10)
  • Network accessline 354
    Expected:    201 with order object Actual:      500 {"error":"internal server error"} Repro:       curl -X POST … (auth: <REDACTED>)
  • Network accessline 356
    Repro:       curl -X POST … (auth: <REDACTED>)
  • Network accessline 366
    [Credential-related source omitted]
  • Access to secretsline 366
    [Credential-related source omitted]
  • Access to secretsline 367
    [Credential-related source omitted]
  • Network accessline 370
    class TestAPISmoke:     def test_health(self):         resp = requests.get(f"{BASE_URL}/health", timeout=5)
  • Network accessline 371
    def test_health(self):         resp = requests.get(f"{BASE_URL}/health", timeout=5)         assert resp.status_code == 200
  • Network accessline 372
    resp = requests.get(f"{BASE_URL}/health", timeout=5)
  • Network accessline 375
    def test_list_users_returns_array(self):         resp = requests.get(f"{BASE_URL}/users", headers=HEADERS, timeout=10)
  • Network accessline 376
    resp = requests.get(f"{BASE_URL}/users", headers=HEADERS, timeout=10)
  • Network accessline 381
    def test_get_user_required_fields(self):         resp = requests.get(f"{BASE_URL}/users/1", headers=HEADERS, timeout=10)
  • Network accessline 382
    resp = requests.get(f"{BASE_URL}/users/1", headers=HEADERS, timeout=10)
  • Network accessline 388
    def test_invalid_auth_returns_401(self):         resp = requests.get(
  • Network accessline 389
    resp = requests.get(
  • Access to secretsline 401
    [Credential-related source omitted]
  • Network accessline 426
    terminal('curl -sI https://api.example.com')
  • Network accessline 438
    [Credential-related source omitted]
  • Access to secretsline 438
    [Credential-related source omitted]
  • Network accessline 439
    base  = "https://api.example.com"
  • Network accessline 442
    # 1. auth me = requests.get(f"{base}/me", headers=H, timeout=10)
  • Network accessline 443
    me = requests.get(f"{base}/me", headers=H, timeout=10)
  • Network accessline 448
    while True:     params = {"cursor": cursor} if cursor else {}     r = requests.get(f"{base}/users", headers=H, params=params, timeout=10)
  • Network accessline 449
    params = {"cursor": cursor} if cursor else {}     r = requests.get(f"{base}/users", headers=H, params=params, timeout=10)     body = r.json()
  • Network accessline 450
    r = requests.get(f"{base}/users", headers=H, params=params, timeout=10)
  • Network accessline 465
    web_extract(urls=["https://docs.example.com/api/v1/users"])
  • Network accessline 473
    context=""" Follow the rest-graphql-debug skill (optional-skills/software-development/rest-graphql-debug). Base URL: https://api.example.com
  • Network accessline 474
    Follow the rest-graphql-debug skill (optional-skills/software-development/rest-graphql-debug). Base URL: https://api.example.com Auth: Bearer token from API_TOKEN env var.
  • Network accessline 475
    Base URL: https://api.example.com
  • Network accessline 479
    - happy path: assert status + response schema   - error cases: 400, 404, 422   - log a repro curl for any failure (redact tokens)
  • Network accessline 481
    - log a repro curl for any failure (redact tokens)
  • Network accessline 499
    ## Repro curl -X POST https://api.example.com/api/v1/users \
  • Network accessline 500
    curl -X POST https://api.example.com/api/v1/users \

optional-skills/software-development/subagent-driven-development/references/context-budget-discipline.md

  • Network accessline 5
    Adapted from the GSD (Get Shit Done) project's context-budget reference — MIT © 2025 Lex Christopherson ([gsd-build/get-shit-done](https://github.com/gsd-build/get-shit-done)).

optional-skills/software-development/subagent-driven-development/references/gates-taxonomy.md

  • Network accessline 5
    Adapted from the GSD (Get Shit Done) project's gates reference — MIT © 2025 Lex Christopherson ([gsd-build/get-shit-done](https://github.com/gsd-build/get-shit-done)).

optional-skills/web-development/cloudflare-temporary-deploy/SKILL.md

  • Access to secretsline 39
    [Credential-related source omitted]
  • Network accessline 60
    export default {      async fetch(): Promise<Response> {
  • Network accessline 61
    async fetch(): Promise<Response> {
  • Network accessline 81
    curl -sS <live_url>
  • Network accessline 93
    | Deploy (no account) | `npx wrangler@latest deploy --temporary` | | Deploy + parse URLs | `npx wrangler@latest deploy --temporary 2>&1 \| python scripts/parse_deploy_output.py` | | Verify live | `curl -sS <live_url>` |
  • Network accessline 94
    | Deploy + parse URLs | `npx wrangler@latest deploy --temporary 2>&1 \| python scripts/parse_deploy_output.py` | | Verify live | `curl -sS <live_url>` | | Clear cached temp account | `npx wrangler@latest logout` |
  • Network accessline 95
    | Verify live | `curl -sS <live_url>` |
  • Access to secretsline 115
    [Credential-related source omitted]
  • Network accessline 123
    - `npx wrangler@latest --version` returns `>= 4.102.0`. - `npx wrangler@latest deploy --temporary` prints a `workers.dev` live URL and a `claim-preview?claimToken=` claim URL. - `curl -sS <live_url>` returns the exact body the Worker code p
  • Network accessline 124
    - `npx wrangler@latest deploy --temporary` prints a `workers.dev` live URL and a `claim-preview?claimToken=` claim URL. - `curl -sS <live_url>` returns the exact body the Worker code produces. - A second deploy reports `Account: <name> (reu
  • Network accessline 125
    - `curl -sS <live_url>` returns the exact body the Worker code produces.

optional-skills/web-development/cloudflare-temporary-deploy/scripts/parse_deploy_output.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 20
    _LIVE_URL = re.compile(r"https://[A-Za-z0-9._-]+\.workers\.dev\S*")
  • Network accessline 23
    _CLAIM_URL = re.compile(r"https://\S*claim\S*claimToken=\S+", re.IGNORECASE)
  • Network accessline 62
    Account:        example-name (created)      Claim within:   60 minutes      Claim URL:      https://dash.cloudflare.com/claim-preview?claimToken=abc123XYZ
  • Network accessline 64
    Claim URL:      https://dash.cloudflare.com/claim-preview?claimToken=abc123XYZ
  • Network accessline 66
    Uploaded example-worker Deployed example-worker triggers      https://example-worker.example-name.workers.dev
  • Network accessline 67
    Deployed example-worker triggers      https://example-worker.example-name.workers.dev """
  • Network accessline 68
    https://example-worker.example-name.workers.dev
  • Network accessline 73
    Account:        example-name (reused)      Claim within:   42 minutes      Claim URL:      https://dash.cloudflare.com/claim-preview?claimToken=def456
  • Network accessline 74
    Claim within:   42 minutes      Claim URL:      https://dash.cloudflare.com/claim-preview?claimToken=def456 Deployed example-worker triggers
  • Network accessline 75
    Claim URL:      https://dash.cloudflare.com/claim-preview?claimToken=def456
  • Network accessline 76
    Deployed example-worker triggers      https://example-worker.example-name.workers.dev """
  • Network accessline 77
    https://example-worker.example-name.workers.dev
  • Network accessline 87
    def _selftest() -> int:     r = parse(_SAMPLE)     assert r["live_url"] == "https://example-worker.example-name.workers.dev", r
  • Network accessline 88
    r = parse(_SAMPLE)     assert r["live_url"] == "https://example-worker.example-name.workers.dev", r     assert r["claim_url"] == "https://dash.cloudflare.com/claim-preview?claimToken=abc123XYZ", r
  • Network accessline 89
    assert r["live_url"] == "https://example-worker.example-name.workers.dev", r
  • Network accessline 90
    assert r["claim_url"] == "https://dash.cloudflare.com/claim-preview?claimToken=abc123XYZ", r

optional-skills/web-development/har-derived-api-client/SKILL.md

  • Network accessline 77
    # 1a. Capture, LOCAL browser (Hermes launched it) python3 scripts/har_capture.py "https://SITE/" out.har \
  • Network accessline 78
    python3 scripts/har_capture.py "https://SITE/" out.har \
  • Network accessline 82
    #     get the endpoint from /browser connect or BROWSER_CDP_URL python3 scripts/har_capture_cdp.py "ws://HOST/devtools/browser/..." out.har \   --goto "https://SITE/" --action "fill:input[name=search]:my query" \
  • Network accessline 83
    python3 scripts/har_capture_cdp.py "ws://HOST/devtools/browser/..." out.har    --goto "https://SITE/" --action "fill:input[name=search]:my query"
  • Network accessline 84
    --goto "https://SITE/" --action "fill:input[name=search]:my query" \
  • Access to secretsline 109
    [Credential-related source omitted]
  • Network accessline 125
    import requests r = requests.get(
  • Network accessline 126
    r = requests.get(
  • Network accessline 127
    "https://en.wikipedia.org/w/rest.php/v1/search/title",
  • Network accessline 155
    python3 scripts/har_capture.py "https://en.wikipedia.org/wiki/Main_Page" ~/.hermes/cache/scratch/wiki.har \
  • Network accessline 160
    Expect the derivation to print `GET https://en.wikipedia.org/w/rest.php/v1/search/title`

optional-skills/web-development/har-derived-api-client/scripts/har_capture.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/web-development/har-derived-api-client/scripts/har_capture_cdp.py

  • Executable scriptline 1
    #!/usr/bin/env python3

optional-skills/web-development/har-derived-api-client/scripts/har_to_client.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 11
    [Credential-related source omitted]
  • Network accessline 124
    for (method, host, path), g in groups.items():         print(f"\n=== {method} https://{host}{path}  (x{g['count']})")
  • Network accessline 125
    print(f"\n=== {method} https://{host}{path}  (x{g['count']})")

optional-skills/web-development/page-agent/SKILL.md

  • Network accessline 16
    alibaba/page-agent (https://github.com/alibaba/page-agent, 17k+ stars, MIT) is an in-page GUI agent written in TypeScript. It lives inside a webpage, reads the DOM as text (no screenshots, no multi-modal LLM), and executes natural-language 
  • Network accessline 47
    <script src="https://cdn.jsdelivr.net/npm/page-agent@1.8.0/dist/iife/page-agent.demo.js" crossorigin="true"></script>
  • Network accessline 55
    javascript:(function(){var s=document.createElement('script');s.src='https://cdn.jsdelivr.net/npm/page-agent@1.8.0/dist/iife/page-agent.demo.js';document.head.appendChild(s);})();
  • Network accessline 71
    const agent = new PageAgent({     model: 'qwen3.5-plus',     baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1',
  • Network accessline 72
    [Credential-related source omitted]
  • Network accessline 73
    baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1',
  • Access to secretsline 74
    [Credential-related source omitted]
  • Network accessline 87
    | Provider | `baseURL` | `model` | |----------|-----------|---------| | Qwen / DashScope | `https://dashscope.aliyuncs.com/compatible-mode/v1` | `qwen3.5-plus` |
  • Network accessline 88
    |----------|-----------|---------| | Qwen / DashScope | `https://dashscope.aliyuncs.com/compatible-mode/v1` | `qwen3.5-plus` | | OpenAI | `https://api.openai.com/v1` | `gpt-4o-mini` |
  • Network accessline 89
    | Qwen / DashScope | `https://dashscope.aliyuncs.com/compatible-mode/v1` | `qwen3.5-plus` |
  • Network accessline 90
    | OpenAI | `https://api.openai.com/v1` | `gpt-4o-mini` |
  • Network accessline 91
    | Ollama (local) | `http://localhost:11434/v1` | `qwen3:14b` |
  • Network accessline 92
    | OpenRouter | `https://openrouter.ai/api/v1` | `anthropic/claude-sonnet-4.6` |
  • Network accessline 96
    - `model`, `baseURL`, `apiKey` — LLM connection - `language` — UI language (`en-US`, `zh-CN`, etc.) - Allowlist and data-masking hooks exist for locking down what the agent can touch — see https://alibaba.github.io/page-agent/ for the full 
  • Network accessline 98
    - Allowlist and data-masking hooks exist for locking down what the agent can touch — see https://alibaba.github.io/page-agent/ for the full option list
  • Network accessline 107
    git clone https://github.com/alibaba/page-agent.git
  • Network accessline 115
    [Credential-related source omitted]
  • Access to secretsline 116
    [Credential-related source omitted]
  • Network accessline 117
    LLM_BASE_URL=https://api.openai.com/v1
  • Network accessline 123
    LLM_BASE_URL=http://localhost:11434/v1
  • Access to secretsline 124
    [Credential-related source omitted]
  • Network accessline 131
    npm start           # docs/website dev server npm run build       # build every package npm run dev:demo    # serve IIFE bundle at http://localhost:5174/page-agent.demo.js
  • Network accessline 132
    npm run build       # build every package npm run dev:demo    # serve IIFE bundle at http://localhost:5174/page-agent.demo.js npm run dev:ext     # develop the browser extension (WXT + React)
  • Network accessline 133
    npm run dev:demo    # serve IIFE bundle at http://localhost:5174/page-agent.demo.js
  • Network accessline 141
    javascript:(function(){var s=document.createElement('script');s.src=`http://localhost:5174/page-agent.demo.js?t=${Math.random()}`;s.onload=()=>console.log('PageAgent ready!');document.head.appendChild(s);})();
  • Access to secretsline 146
    [Credential-related source omitted]
  • Network accessline 171
    After Path 3: 1. `npm run dev:demo` prints `Accepting connections at http://localhost:5174` 2. `curl -I http://localhost:5174/page-agent.demo.js` returns `HTTP/1.1 200 OK` with `Content-Type: application/javascript`
  • Network accessline 172
    1. `npm run dev:demo` prints `Accepting connections at http://localhost:5174` 2. `curl -I http://localhost:5174/page-agent.demo.js` returns `HTTP/1.1 200 OK` with `Content-Type: application/javascript` 3. Click the bookmarklet on any site; 
  • Network accessline 173
    2. `curl -I http://localhost:5174/page-agent.demo.js` returns `HTTP/1.1 200 OK` with `Content-Type: application/javascript`
  • Network accessline 188
    - Repo: https://github.com/alibaba/page-agent
  • Network accessline 189
    - Docs: https://alibaba.github.io/page-agent/

optional-skills/web-development/publish-site/SKILL.md

  • Network accessline 52
    |---|---| | Local preview | `python3 -m http.server 8080 --directory dist` | | Shareable preview | `cloudflared tunnel --url http://localhost:8080` |
  • Network accessline 53
    | Local preview | `python3 -m http.server 8080 --directory dist` | | Shareable preview | `cloudflared tunnel --url http://localhost:8080` | | Version a deploy | `git add -A && git commit -m "deploy: <what>" && git tag deploy-YYYYMMDD-HHMM` 
  • Network accessline 54
    | Shareable preview | `cloudflared tunnel --url http://localhost:8080` |
  • Network accessline 59
    | Netlify | `netlify deploy --prod --dir dist` | | Rollback | `git checkout <previous-tag> -- . && redeploy` (or provider dashboard) | | Verify live | `curl -sS -o /dev/null -w '%{http_code}' <url>` → expect `200` |
  • Network accessline 61
    | Verify live | `curl -sS -o /dev/null -w '%{http_code}' <url>` → expect `200` |
  • Network accessline 76
    cloudflared tunnel --url http://localhost:8080
  • Network accessline 79
    Give the user the `https://*.trycloudflare.com` URL and get sign-off before deploying. Kill the tunnel afterwards.
  • Network accessline 152
    1. `curl -sS -o /dev/null -w '%{http_code}' <live-url>` returns `200` (retry over ~2 minutes for a first GitHub Pages deploy).
  • Network accessline 153
    2. `curl -sS <live-url> | head -30` shows the expected `index.html` content — optionally confirm markup with `web_extract` on the live URL.
  • Network accessline 154
    3. For SPAs, also curl one deep route (e.g. `/about`) and confirm it returns `200`, not `404`.

optional-skills/web-development/scrollcraft/SKILL.md

  • Network accessline 10
    tags: [web-development, landing-page, scrollytelling, animation, design, frontend]     category: web-development     homepage: https://github.com/nateherkai/scroll-craft
  • Network accessline 11
    category: web-development     homepage: https://github.com/nateherkai/scroll-craft     related_skills: []
  • Network accessline 12
    homepage: https://github.com/nateherkai/scroll-craft
  • Access to secretsline 145
    [Credential-related source omitted]
  • Network accessline 185
    cd <build project> && npm i playwright-core     # once node <skill>/scripts/serve.mjs --root . --port 4500 & node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/shots
  • Network accessline 186
    node <skill>/scripts/serve.mjs --root . --port 4500 & node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/shots node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/mobile --width 390 --height 844
  • Network accessline 187
    node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/shots
  • Network accessline 188
    node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/mobile --width 390 --height 844
  • Network accessline 189
    node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/reduced --reduced-motion
  • Access to secretsline 233
    [Credential-related source omitted]

optional-skills/web-development/scrollcraft/engine/scrollcraft.css

  • Network accessline 381
    .sc-grain::before {   content: ""; position: absolute; inset: -50%;   background-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' width='140' height='140'><filter id='n'><feTurbulence type='fractalNoise' baseFrequ
  • Network accessline 382
    content: ""; position: absolute; inset: -50%;   background-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' width='140' height='140'><filter id='n'><feTurbulence type='fractalNoise' baseFrequency='0.85' numOctaves
  • Network accessline 383
    background-image: url("data:image/svg+xml;utf8,<svg xmlns='http://www.w3.org/2000/svg' width='140' height='140'><filter id='n'><feTurbulence type='fractalNoise' baseFrequency='0.85' numOctaves='3'/></filter><rect width='140' height='140' fi

optional-skills/web-development/scrollcraft/engine/scrollcraft.js

  • Executable scriptline 1
    Executable file
  • Network accessline 589
    if (!src) return;       V.loading = true;       fetch(src).then(function (r) { if (!r.ok) throw new Error(r.status); return r.blob(); })
  • Network accessline 590
    V.loading = true;       fetch(src).then(function (r) { if (!r.ok) throw new Error(r.status); return r.blob(); })         .then(function (blob) {
  • Network accessline 591
    fetch(src).then(function (r) { if (!r.ok) throw new Error(r.status); return r.blob(); })

optional-skills/web-development/scrollcraft/references/device-diag.html

  • Network accessline 115
    if (t.mode === 'blob') {       fetch(t.src)
  • Network accessline 116
    fetch(t.src)

optional-skills/web-development/scrollcraft/references/template.html

  • Network accessline 20
    <title>BRAND · the one-line promise</title> <meta name="description" content="One sentence a search result would show."> <link rel="icon" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'><rect width='32' 
  • Network accessline 21
    <meta name="description" content="One sentence a search result would show."> <link rel="icon" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'><rect width='32' height='32' rx='7' fill='%230A0807'/></svg>"
  • Network accessline 22
    <link rel="icon" href="data:image/svg+xml,<svg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 32 32'><rect width='32' height='32' rx='7' fill='%230A0807'/></svg>">

optional-skills/web-development/scrollcraft/references/verify.md

  • Network accessline 11
    node <skill>/scripts/serve.mjs --root . --port 4500 & node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/shots
  • Network accessline 12
    node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/shots
  • Network accessline 13
    node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/mobile --width 390 --height 844
  • Network accessline 14
    node <skill>/scripts/shoot.mjs --url http://localhost:4500 --out lab/reduced --reduced-motion
  • Network accessline 376
    curl -s http://localhost:45XX | grep -o "<title>.*</title>"
  • Network accessline 377
    curl -s -o /dev/null -w "%{http_code}
  • Network accessline 378
    " http://localhost:45XX/assets/leg01.mp4

optional-skills/web-development/scrollcraft/references/worldflight.md

  • Network accessline 333
    node scripts/serve.mjs --root builds/<name> --port 45XX node scripts/shoot.mjs --url http://localhost:45XX --out lab/<name>-shots --per-act 8
  • Network accessline 334
    node scripts/shoot.mjs --url http://localhost:45XX --out lab/<name>-shots --per-act 8
  • Network accessline 335
    node scripts/shoot.mjs --url http://localhost:45XX --out lab/<name>-reduced --reduced-motion
  • Network accessline 345
    node <skill>/scripts/worldflight-assert.mjs --url http://localhost:45XX

optional-skills/web-development/scrollcraft/scripts/doctor.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Access to secretsline 15
    [Credential-related source omitted]
  • Access to secretsline 126
    [Credential-related source omitted]
  • Access to secretsline 129
    [Credential-related source omitted]
  • Access to secretsline 130
    [Credential-related source omitted]
  • Access to secretsline 138
    [Credential-related source omitted]
  • Access to secretsline 139
    [Credential-related source omitted]

optional-skills/web-development/scrollcraft/scripts/encode.sh

  • Executable scriptline 1
    #!/usr/bin/env bash

optional-skills/web-development/scrollcraft/scripts/kie.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 3
    * scrollcraft asset generator: kie.ai unified jobs API.  *  *   POST https://api.kie.ai/api/v1/jobs/createTask   { model, input }
  • Network accessline 4
    *  *   POST https://api.kie.ai/api/v1/jobs/createTask   { model, input }  *   GET  https://api.kie.ai/api/v1/jobs/recordInfo?taskId=...
  • Network accessline 5
    *   POST https://api.kie.ai/api/v1/jobs/createTask   { model, input }
  • Network accessline 6
    *   GET  https://api.kie.ai/api/v1/jobs/recordInfo?taskId=...
  • Access to secretsline 20
    [Credential-related source omitted]
  • Network accessline 26
    const API = "https://api.kie.ai";
  • Network accessline 27
    const UPLOAD = "https://kieai.redpandaai.co/api/file-base64-upload";
  • Access to secretsline 39
    [Credential-related source omitted]
  • Access to secretsline 48
    [Credential-related source omitted]
  • Access to secretsline 50
    [Credential-related source omitted]
  • Access to secretsline 52
    [Credential-related source omitted]
  • Access to secretsline 55
    [Credential-related source omitted]
  • Network accessline 67
    const mime = ext === "jpg" ? "image/jpeg" : `image/${ext}`;   const dataUrl = `data:${mime};base64,${fs.readFileSync(abs).toString("base64")}`;   const res = await fetch(UPLOAD, {
  • Network accessline 68
    const dataUrl = `data:${mime};base64,${fs.readFileSync(abs).toString("base64")}`;   const res = await fetch(UPLOAD, {     method: "POST", headers: H,
  • Network accessline 69
    const res = await fetch(UPLOAD, {
  • Network accessline 82
    async function createTask(model, input) {   const res = await fetch(`${API}/api/v1/jobs/createTask`, {
  • Network accessline 83
    const res = await fetch(`${API}/api/v1/jobs/createTask`, {
  • Network accessline 94
    for (;;) {     if (Date.now() - t0 > timeoutMs) throw new Error(`${label}: timed out after ${Math.round((Date.now() - t0) / 1000)}s`);     const res = await fetch(`${API}/api/v1/jobs/recordInfo?taskId=${encodeURIComponent(taskId)}`, { heade
  • Network accessline 95
    if (Date.now() - t0 > timeoutMs) throw new Error(`${label}: timed out after ${Math.round((Date.now() - t0) / 1000)}s`);     const res = await fetch(`${API}/api/v1/jobs/recordInfo?taskId=${encodeURIComponent(taskId)}`, { headers: H });     c
  • Network accessline 96
    const res = await fetch(`${API}/api/v1/jobs/recordInfo?taskId=${encodeURIComponent(taskId)}`, { headers: H });
  • Network accessline 116
    async function download(url, out) {   fs.mkdirSync(path.dirname(path.resolve(out)), { recursive: true });   const res = await fetch(url);
  • Network accessline 117
    fs.mkdirSync(path.dirname(path.resolve(out)), { recursive: true });   const res = await fetch(url);   if (!res.ok) throw new Error(`download ${res.status} ${url}`);
  • Network accessline 118
    const res = await fetch(url);
  • Network accessline 137
    try {   if (cmd === "probe") {     const r = await fetch(`${API}/api/v1/chat/credit`, { headers: H });
  • Network accessline 138
    if (cmd === "probe") {     const r = await fetch(`${API}/api/v1/chat/credit`, { headers: H });     const j = await r.json();
  • Network accessline 139
    const r = await fetch(`${API}/api/v1/chat/credit`, { headers: H });

optional-skills/web-development/scrollcraft/scripts/serve.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 49
    fs.createReadStream(file).pipe(res); }).listen(PORT, () => {   console.log(`scrollcraft: ${ROOT}\n  http://localhost:${PORT}`);
  • Network accessline 50
    }).listen(PORT, () => {   console.log(`scrollcraft: ${ROOT}\n  http://localhost:${PORT}`); });
  • Network accessline 51
    console.log(`scrollcraft: ${ROOT}\n  http://localhost:${PORT}`);

optional-skills/web-development/scrollcraft/scripts/shoot.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 9
    * frame the transition may not survive.  *  *   node shoot.mjs --url http://localhost:4500 --out lab/shots --steps 12
  • Network accessline 10
    *  *   node shoot.mjs --url http://localhost:4500 --out lab/shots --steps 12  *   node shoot.mjs --url ... --width 375 --height 812 --out lab/mobile
  • Network accessline 11
    *   node shoot.mjs --url http://localhost:4500 --out lab/shots --steps 12
  • Network accessline 38
    const URL = arg("--url", "http://localhost:4500");

optional-skills/web-development/scrollcraft/scripts/workspace.mjs

  • Executable scriptline 1
    #!/usr/bin/env node

optional-skills/web-development/scrollcraft/scripts/worldflight-assert.mjs

  • Executable scriptline 1
    #!/usr/bin/env node
  • Network accessline 4
    * claims the mode makes, checked one at a time.  *  *   node lab/worldflight-assert.mjs --url http://localhost:4520
  • Network accessline 5
    *  *   node lab/worldflight-assert.mjs --url http://localhost:4520  */
  • Network accessline 6
    *   node lab/worldflight-assert.mjs --url http://localhost:4520
  • Network accessline 13
    const argv = process.argv.slice(2); const arg = (n, d) => { const i = argv.indexOf(n); return i > -1 && argv[i + 1] ? argv[i + 1] : d; }; const URL = arg("--url", "http://localhost:4520");
  • Network accessline 15
    const URL = arg("--url", "http://localhost:4520");

plugins/google_meet/README.md

  • Network accessline 71
    hermes meet setup                                        # preflight hermes meet auth                                         # optional hermes meet join https://meet.google.com/abc-defg-hij    # transcribe
  • Network accessline 73
    hermes meet join https://meet.google.com/abc-defg-hij    # transcribe
  • Network accessline 80
    [Credential-related source omitted]
  • Network accessline 81
    [Credential-related source omitted]
  • Access to secretsline 81
    [Credential-related source omitted]
  • Network accessline 82
    hermes meet join https://meet.google.com/abc-defg-hij --mode realtime
  • Network accessline 90
    [Credential-related source omitted]
  • Access to secretsline 91
    [Credential-related source omitted]
  • Network accessline 92
    hermes meet join https://meet.google.com/abc-defg-hij --mode realtime
  • Network accessline 125
    - URL gate: only `https://meet.google.com/abc-defg-hij`, `/new`, `/lookup/<id>`.

plugins/google_meet/SKILL.md

  • Dangerous shell operationline 53
    `hermes meet install --realtime` prompts before running `sudo apt-get` (Linux)
  • Dangerous shell operationline 60
    #   Linux:  sudo apt install pulseaudio-utils
  • Access to secretsline 63
    [Credential-related source omitted]
  • Network accessline 142
    - URL regex: only `https://meet.google.com/...` URLs pass.

plugins/google_meet/__init__.py

  • Executable scriptline 1
    Executable file
  • Network accessline 3
    Headless Chromium (Playwright) joins the URL, enables live captions and scrapes them into a transcript. Realtime mode adds agent speech (OpenAI Realtime + virtual audio device); remote nodes run the bot on another machine. Explicit-by-desig
  • Network accessline 4
    transcript. Realtime mode adds agent speech (OpenAI Realtime + virtual audio device); remote nodes run the bot on another machine. Explicit-by-design: only joins ``https://meet.google.com/`` URLs passed in — no calendar scanning, auto-dial 
  • Network accessline 5
    nodes run the bot on another machine. Explicit-by-design: only joins ``https://meet.google.com/``

plugins/google_meet/_jsonfile.py

  • Executable scriptline 1
    Executable file

plugins/google_meet/audio_bridge.py

  • Executable scriptline 1
    Executable file

plugins/google_meet/cli.py

  • Executable scriptline 1
    Executable file
  • Network accessline 55
    p["install"].add_argument("--yes", "-y", action="store_true",                               help="Answer yes to all prompts (use with care; will run sudo apt-get or brew without asking).")     p["join"].add_argument("url", help="https://mee
  • Dangerous shell operationline 56
    help="Answer yes to all prompts (use with care; will run sudo apt-get or brew without asking).")
  • Network accessline 56
    help="Answer yes to all prompts (use with care; will run sudo apt-get or brew without asking).")     p["join"].add_argument("url", help="https://meet.google.com/...")     p["join"].add_argument("--guest-name", default="Hermes Agent")
  • Network accessline 57
    p["join"].add_argument("url", help="https://meet.google.com/...")
  • Network accessline 117
    print()     all_ok = system_ok and pw_ok and chromium_ok     print("ready. Join a meeting:  hermes meet join https://meet.google.com/abc-defg-hij" if all_ok
  • Network accessline 118
    all_ok = system_ok and pw_ok and chromium_ok     print("ready. Join a meeting:  hermes meet join https://meet.google.com/abc-defg-hij" if all_ok           else "not ready yet — fix the items above.")
  • Network accessline 119
    print("ready. Join a meeting:  hermes meet join https://meet.google.com/abc-defg-hij" if all_ok
  • Dangerous shell operationline 169
    _install_pkgs("  install pulseaudio-utils? this runs `sudo apt-get install -y pulseaudio-utils`",
  • Network accessline 182
    elif not shutil.which("brew"):                 print("  missing: " + ", ".join(needs) + "\n"                       "  install Homebrew first (https://brew.sh) or install the packages manually.")
  • Network accessline 183
    print("  missing: " + ", ".join(needs) + "\n"                       "  install Homebrew first (https://brew.sh) or install the packages manually.")             else:
  • Network accessline 184
    "  install Homebrew first (https://brew.sh) or install the packages manually.")
  • Network accessline 210
    )             context = browser.new_context()             context.new_page().goto("https://accounts.google.com/", wait_until="domcontentloaded")
  • Network accessline 211
    context = browser.new_context()             context.new_page().goto("https://accounts.google.com/", wait_until="domcontentloaded")             with contextlib.suppress(EOFError):
  • Network accessline 212
    context.new_page().goto("https://accounts.google.com/", wait_until="domcontentloaded")

plugins/google_meet/meet_bot.py

  • Executable scriptline 1
    Executable file
  • Network accessline 29
    MEET_URL_RE = re.compile(     r"^https://meet\.google\.com/([a-z0-9]{3,}-[a-z0-9]{3,}-[a-z0-9]{3,}|lookup/[^/?#]+|new)"
  • Network accessline 30
    r"^https://meet\.google\.com/([a-z0-9]{3,}-[a-z0-9]{3,}-[a-z0-9]{3,}|lookup/[^/?#]+|new)"
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plugins/google_meet/node/__init__.py

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plugins/google_meet/node/cli.py

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plugins/google_meet/node/client.py

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plugins/google_meet/node/protocol.py

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plugins/google_meet/node/registry.py

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plugins/google_meet/node/server.py

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    Executable file

plugins/google_meet/process_manager.py

  • Executable scriptline 1
    Executable file
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    [Credential-related source omitted]
  • Network accessline 70
    from plugins.google_meet.meet_bot import _is_safe_meet_url, _meeting_id_from_url     if not _is_safe_meet_url(url):         return {"ok": False, "error": "refusing: only https://meet.google.com/ URLs are allowed. got: " + repr(url)}
  • Network accessline 71
    if not _is_safe_meet_url(url):         return {"ok": False, "error": "refusing: only https://meet.google.com/ URLs are allowed. got: " + repr(url)}     if _pid_alive(int((_read_active() or {}).get("pid", 0))):
  • Network accessline 72
    return {"ok": False, "error": "refusing: only https://meet.google.com/ URLs are allowed. got: " + repr(url)}
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plugins/google_meet/realtime/__init__.py

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plugins/google_meet/realtime/openai_client.py

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  • Possible obfuscationline 28
    return base64.b64decode(b64) if b64 else b""
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plugins/google_meet/tools.py

  • Executable scriptline 1
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  • Network accessline 57
    "with meet_status and read captions with meet_transcript. Reminder to the agent: you "     "should announce yourself in the meeting (there is no automatic consent announcement).",     {"url": _str("Full https://meet.google.com/... URL. Requ
  • Network accessline 58
    "should announce yourself in the meeting (there is no automatic consent announcement).",     {"url": _str("Full https://meet.google.com/... URL. Required."),      "mode": {"type": "string", "enum": ["transcribe", "realtime"],
  • Network accessline 59
    {"url": _str("Full https://meet.google.com/... URL. Required."),

scripts/_activation.sh

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    eval "$1"
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    eval "$1"
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    eval "$1"

scripts/build/windows-deps.ps1

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scripts/run-in-hermes-env

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    #!/usr/bin/env bash
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    #!/usr/bin/env bash
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    #!/usr/bin/env bash

scripts/run_tests.sh

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    #!/usr/bin/env bash
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    #!/usr/bin/env bash
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    #!/usr/bin/env bash
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    #!/usr/bin/env bash
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    #!/usr/bin/env bash
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scripts/run_tests_parallel.py

  • Executable scriptline 1
    #!/usr/bin/env python3
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    #!/usr/bin/env python3
  • Network accessline 571
    pytest exit codes (https://docs.pytest.org/en/stable/reference/exit-codes.html):
  • Network accessline 571
    pytest exit codes (https://docs.pytest.org/en/stable/reference/exit-codes.html):
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scripts/tool_store_pins.py

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setup.py

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    [Credential-related source omitted]
  • Network accessline 37
    "Building wheels or sdists for hermes-agent is not supported.\n"     "Hermes is distributed via the shell installer, Docker image, or Nix.\n"     "See: https://hermes-agent.nousresearch.com/docs/getting-started/installation\n"
  • Network accessline 38
    "Hermes is distributed via the shell installer, Docker image, or Nix.\n"     "See: https://hermes-agent.nousresearch.com/docs/getting-started/installation\n"     "\n"
  • Network accessline 39
    "See: https://hermes-agent.nousresearch.com/docs/getting-started/installation\n"

skills/autonomous-ai-agents/claude-code/SKILL.md

  • Network accessline 16
    Delegate coding tasks to [Claude Code](https://code.claude.com/docs/en/cli-reference) (Anthropic's autonomous coding agent CLI) via the Hermes terminal. Claude Code v2.x can read files, write code, run shell commands, spawn subagents, and m
  • Access to secretsline 21
    [Credential-related source omitted]
  • Instruction override signalline 119
    ### Opt-in: --dangerously-skip-permissions (isolated environments only)
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    [Credential-related source omitted]
  • Instruction override signalline 285
    |------|--------| | `--dangerously-skip-permissions` | Opt-in only: disables ALL permission prompts (file writes, bash, network). Throwaway worktree / isolated container only — see "Opt-in" above | | `--allow-dangerously-skip-permissions` |
  • Instruction override signalline 286
    | `--dangerously-skip-permissions` | Opt-in only: disables ALL permission prompts (file writes, bash, network). Throwaway worktree / isolated container only — see "Opt-in" above |
  • Dangerous shell operationline 359
    "deny": ["Read(.env)", "Bash(rm -rf *)"]
  • Dangerous shell operationline 608
    "hooks": [{"type": "command", "command": "if echo \"$CLAUDE_TOOL_INPUT\" | grep -q 'rm -rf'; then echo 'Blocked!' && exit 2; fi"}]
  • Dangerous shell operationline 641
    "hooks": [{"type": "command", "command": "if echo \"$CLAUDE_TOOL_INPUT\" | grep -qE 'rm -rf|git push.*--force|:(){ :|:& };:'; then echo 'Dangerous command blocked!' && exit 2; fi"}]
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    [Credential-related source omitted]
  • Instruction override signalline 730
    1. **Interactive mode REQUIRES tmux** — Claude Code is a full TUI app. Using `pty=true` alone in Hermes terminal works but tmux gives you `capture-pane` for monitoring and `send-keys` for input, which is essential for orchestration. 2. **Th
  • Instruction override signalline 731
    2. **The `--dangerously-skip-permissions` warning dialog defaults to "No, exit"** — that default is the safe answer; only send Down then Enter when you deliberately opted into the bypass in an isolated environment. Print mode (`-p`) skips t
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    [Credential-related source omitted]

skills/autonomous-ai-agents/codex/SKILL.md

  • Network accessline 16
    Delegate coding tasks to [Codex](https://github.com/openai/codex) via the Hermes terminal. Codex is OpenAI's autonomous coding agent CLI.
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 104
    terminal(command="REVIEW=$(mktemp -d) && git clone https://github.com/user/repo.git $REVIEW && cd $REVIEW && gh pr checkout 42 && codex review --base origin/main", pty=true)

skills/autonomous-ai-agents/computer-use/SKILL.md

  • Network accessline 27
    Hermes drives [cua-driver](https://github.com/trycua/cua) under the hood.
  • Network accessline 306
    | Click had no effect | Read the structured verdict. `effect:"unverifiable"` → fresh capture/state before retry, even with an escalation hint. `effect:"suspected_noop"` or a structured refusal → climb the recommended ladder: coordinate (px)
  • Network accessline 307
    | Type text disappears into a terminal emulator | cua-driver detects terminals (Ghostty, iTerm2, Terminal.app, Windows Terminal, mintty, etc.) and routes through key-event synthesis — should "just work" on a recent cua-driver. If it doesn't
  • Dangerous shell operationline 308
    | `blocked pattern in type text` | You tried to `type` a shell command matching the dangerous-pattern block list (`curl ... \| bash`, `sudo rm -rf`, etc.). Break the command up or reconsider |
  • Network accessline 308
    | `blocked pattern in type text` | You tried to `type` a shell command matching the dangerous-pattern block list (`curl ... \| bash`, `sudo rm -rf`, etc.). Break the command up or reconsider |

skills/autonomous-ai-agents/hermes-agent/SKILL.md

  • Network accessline 9
    hermes:     tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, bots, bot-mode, features, themes, skins, desktop-plugins, tui-widgets, petdex, development]     homepage: https://github.com/NousResearch/hermes-agent
  • Network accessline 10
    tags: [hermes, setup, configuration, multi-agent, spawning, cli, gateway, bots, bot-mode, features, themes, skins, desktop-plugins, tui-widgets, petdex, development]     homepage: https://github.com/NousResearch/hermes-agent     related_ski
  • Network accessline 11
    homepage: https://github.com/NousResearch/hermes-agent
  • Network accessline 31
    **Docs:** https://hermes-agent.nousresearch.com/docs/
  • Network accessline 39
    - **Every shipped feature, one line each: https://hermes-agent.nousresearch.com/docs/llms.txt.** Start here for any "can Hermes do X?" or "how do I do X?" — it indexes the entire documentation set with a link to the page that answers. It is
  • Network accessline 41
    - Source tree: https://github.com/NousResearch/hermes-agent
  • Network accessline 48
    # Install (shell installer — bootstraps PM, Python, dependencies, and the launcher) curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
  • Dangerous shell operationline 49
    curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
  • Network accessline 49
    curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
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    | User wants... | Load | |---|---| | **Anything not listed below — "can Hermes do X?", "how do I set up X?"** | **https://hermes-agent.nousresearch.com/docs/llms.txt** |
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    |---|---| | **Anything not listed below — "can Hermes do X?", "how do I set up X?"** | **https://hermes-agent.nousresearch.com/docs/llms.txt** | | Bots that chat, run routines, or message each other; the Bots tab | docs: `/user-guide/bot-mo
  • Network accessline 91
    | **Anything not listed below — "can Hermes do X?", "how do I set up X?"** | **https://hermes-agent.nousresearch.com/docs/llms.txt** |

skills/autonomous-ai-agents/hermes-agent/references/background-systems.md

  • Network accessline 45
    User docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/cron
  • Network accessline 70
    Config: `curator.*` (`enabled`, `interval_hours`, `min_idle_hours`, `stale_after_days`, `archive_after_days`, `backup.*`). User docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/curator
  • Network accessline 72
    User docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/curator
  • Network accessline 101
    User docs: https://hermes-agent.nousresearch.com/docs/user-guide/features/kanban

skills/autonomous-ai-agents/hermes-agent/references/cli-reference.md

  • Network accessline 3
    Live sources when anything looks stale: `hermes --help`, `hermes <command> --help`, https://hermes-agent.nousresearch.com/docs/reference/cli-commands
  • Network accessline 4
    https://hermes-agent.nousresearch.com/docs/reference/cli-commands
  • Network accessline 57
    hermes skills list|browse|search QUERY|inspect ID hermes skills install ID    Hub identifier OR a direct https://…/SKILL.md URL
  • Network accessline 58
    hermes skills install ID    Hub identifier OR a direct https://…/SKILL.md URL
  • Network accessline 81
    20+ platforms: Telegram, Discord, Slack, WhatsApp (Baileys + Business Cloud API), iMessage (Photon — `hermes photon setup`), Signal, Email, SMS, Matrix, Mattermost, Teams, LINE, SimpleX, ntfy, Google Chat, Home Assistant, DingTalk, Feishu, 
  • Network accessline 82
    Docs: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/
  • Network accessline 143
    | Looking for... | Location | |---|---| | Config options | `hermes config edit` · [Configuration docs](https://hermes-agent.nousresearch.com/docs/user-guide/configuration) |
  • Network accessline 144
    |---|---| | Config options | `hermes config edit` · [Configuration docs](https://hermes-agent.nousresearch.com/docs/user-guide/configuration) | | Tools / toolsets | `hermes tools list` · [Tools reference](https://hermes-agent.nousresearch.c
  • Network accessline 145
    | Config options | `hermes config edit` · [Configuration docs](https://hermes-agent.nousresearch.com/docs/user-guide/configuration) |
  • Network accessline 146
    | Tools / toolsets | `hermes tools list` · [Tools reference](https://hermes-agent.nousresearch.com/docs/reference/tools-reference) |
  • Network accessline 147
    | Skills catalog | `hermes skills browse` · [Skills catalog](https://hermes-agent.nousresearch.com/docs/reference/skills-catalog) |
  • Network accessline 148
    | Provider setup | `hermes model` · [Providers guide](https://hermes-agent.nousresearch.com/docs/integrations/providers) |
  • Network accessline 149
    | Env variables | `hermes config env-path` · [Env vars reference](https://hermes-agent.nousresearch.com/docs/reference/environment-variables) |

skills/autonomous-ai-agents/hermes-agent/references/configuration.md

  • Network accessline 3
    Edit with `hermes config edit` or `hermes config set section.key value`. Full reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration
  • Network accessline 4
    Full reference: https://hermes-agent.nousresearch.com/docs/user-guide/configuration
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skills/autonomous-ai-agents/hermes-agent/references/contributor-guide.md

  • Network accessline 3
    For occasional contributors and PR authors. Full developer docs: https://hermes-agent.nousresearch.com/docs/developer-guide/
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skills/autonomous-ai-agents/hermes-agent/references/native-mcp.md

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  • Network accessline 67
    mcp_servers:   server_name:     url: "https://my-server.example.com/mcp"   # (required) server URL
  • Network accessline 68
    server_name:     url: "https://my-server.example.com/mcp"   # (required) server URL     headers:                                     # (optional) HTTP headers
  • Network accessline 69
    url: "https://my-server.example.com/mcp"   # (required) server URL
  • Network accessline 151
    mcp_servers:   remote_api:     url: "https://mcp.example.com/mcp"
  • Network accessline 152
    remote_api:     url: "https://mcp.example.com/mcp"     headers:
  • Network accessline 153
    url: "https://mcp.example.com/mcp"
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    mcp_servers:   company_api:     url: "https://mcp.mycompany.com/v1/mcp"
  • Network accessline 274
    company_api:     url: "https://mcp.mycompany.com/v1/mcp"     headers:
  • Network accessline 275
    url: "https://mcp.mycompany.com/v1/mcp"
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  • Network accessline 301
    company_api:     url: "https://mcp.internal.company.com/mcp"
  • Network accessline 302
    url: "https://mcp.internal.company.com/mcp"

skills/autonomous-ai-agents/hermes-agent/references/petdex.md

  • Network accessline 3
    Browse, install, and select animated "pet" mascots from the public [petdex](https://github.com/crafter-station/petdex) gallery. An installed pet
  • Network accessline 4
    [petdex](https://github.com/crafter-station/petdex) gallery. An installed pet

skills/autonomous-ai-agents/hermes-agent/references/portal-auth-for-third-party-apps.md

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  • Network accessline 33
    Portal at `https://inference-api.nousresearch.com/v1` is an OpenAI-compatible
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  • Network accessline 58
    1. Read Hermes's existing Portal credential out of `~/.hermes/auth.json`. 2. Expose a local OpenAI-compatible endpoint at `http://localhost:NNNN/v1`. 3. Forward incoming requests to `inference-api.nousresearch.com/v1` with that
  • Network accessline 59
    2. Expose a local OpenAI-compatible endpoint at `http://localhost:NNNN/v1`. 3. Forward incoming requests to `inference-api.nousresearch.com/v1` with that    bearer attached.
  • Network accessline 63
    Karakeep/OpenWebUI/etc. then point at `http://localhost:NNNN/v1` with any
  • Network accessline 112
    it already uses Portal via Hermes's provider config — done. 2. If separate app: today, paste the static API key from Portal → API Keys.    Base URL `https://inference-api.nousresearch.com/v1`. Rate limits are
  • Network accessline 113
    2. If separate app: today, paste the static API key from Portal → API Keys.    Base URL `https://inference-api.nousresearch.com/v1`. Rate limits are    subscription-tier based, applied per-key.
  • Network accessline 114
    Base URL `https://inference-api.nousresearch.com/v1`. Rate limits are

skills/autonomous-ai-agents/hermes-agent/references/providers-and-models.md

  • Network accessline 3
    Set via `hermes model` (picker) or `hermes setup`. 35+ provider profiles ship as plugins under `plugins/model-providers/`; user plugins of the same name override. Full docs: https://hermes-agent.nousresearch.com/docs/integrations/providers
  • Network accessline 5
    Full docs: https://hermes-agent.nousresearch.com/docs/integrations/providers
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  • Network accessline 30
    GitHub Copilot (`copilot`, `copilot-acp`) is a labs plugin, not core: `hermes plugins install github-copilot`, then `hermes auth add copilot` (https://github.com/NousResearch/hermes-labs-plugins/tree/main/github-copilot).
  • Network accessline 48
    model: qwen3.5:397b     provider: custom     base_url: "https://ollama.com/v1"
  • Network accessline 49
    provider: custom     base_url: "https://ollama.com/v1"   theta:
  • Network accessline 50
    base_url: "https://ollama.com/v1"
  • Network accessline 52
    model: theta-1     provider: custom     base_url: "https://theta.example.com/v1"
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  • Network accessline 54
    base_url: "https://theta.example.com/v1"
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    [Credential-related source omitted]

skills/autonomous-ai-agents/hermes-agent/references/security-privacy.md

  • Dangerous shell operationline 31
    By default (`approvals.mode: smart`), Hermes asks an auxiliary LLM to assess shell commands flagged as destructive (`rm -rf`, `git reset --hard`, etc.). The modes are:
  • Dangerous shell operationline 55
    2. Shell-hook consent (only if present): `rm -f ~/.hermes/shell-hooks-allowlist.json`

skills/autonomous-ai-agents/hermes-agent/references/slash-commands.md

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skills/autonomous-ai-agents/hermes-agent/references/troubleshooting.md

  • Dangerous shell operationline 63
    - **Gateway dies on SSH logout**: Enable linger: `sudo loginctl enable-linger $USER`
  • Access to secretsline 73
    [Credential-related source omitted]

skills/autonomous-ai-agents/hermes-agent/references/webhooks.md

  • Network accessline 51
    curl http://localhost:8644/health
  • Network accessline 86
    Full filter syntax: https://hermes-agent.nousresearch.com/docs/user-guide/messaging/webhooks#payload-filters
  • Network accessline 211
    1. **Is the gateway running?** Check with `systemctl --user status hermes-gateway` or `ps aux | grep gateway` 2. **Is the webhook server listening?** `curl http://localhost:8644/health` should return `{"status": "ok"}`
  • Network accessline 212
    2. **Is the webhook server listening?** `curl http://localhost:8644/health` should return `{"status": "ok"}`

skills/autonomous-ai-agents/hermes-agent/references/windows-quirks.md

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    [Credential-related source omitted]

skills/autonomous-ai-agents/hermes-agent/templates/clock.mjs

  • Executable scriptline 1
    Executable file

skills/autonomous-ai-agents/hermes-agent/templates/plugin.js

  • Executable scriptline 1
    Executable file

skills/creative/architecture-diagram/SKILL.md

  • Network accessline 37
    Based on [Cocoon AI's architecture-diagram-generator](https://github.com/Cocoon-AI/architecture-diagram-generator) (MIT).

skills/creative/architecture-diagram/templates/template.html

  • Network accessline 5
    <meta name="viewport" content="width=device-width, initial-scale=1.0">   <title>[PROJECT NAME] Architecture Diagram</title>   <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500;600;700&display=swap" rel="styles
  • Network accessline 6
    <title>[PROJECT NAME] Architecture Diagram</title>   <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500;600;700&display=swap" rel="stylesheet">   <style>
  • Network accessline 7
    <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500;600;700&display=swap" rel="stylesheet">

skills/creative/ascii-video/README.md

  • Network accessline 5
    Built for [Hermes Agent](https://github.com/NousResearch/hermes-agent). Usable in any coding agent. Canonical source lives here; synced to [`NousResearch/hermes-agent/skills/creative/ascii-video`](https://github.com/NousResearch/hermes-agen

skills/creative/ascii-video/references/inputs.md

  • Access to secretsline 301
    [Credential-related source omitted]
  • Network accessline 307
    url = f"https://api.elevenlabs.io/v1/text-to-speech/{voice_id}"
  • Access to secretsline 308
    [Credential-related source omitted]
  • Network accessline 317
    },     }     resp = requests.post(url, json=data, headers=headers, stream=True)
  • Network accessline 318
    }     resp = requests.post(url, json=data, headers=headers, stream=True)     resp.raise_for_status()
  • Network accessline 319
    resp = requests.post(url, json=data, headers=headers, stream=True)

skills/creative/ascii-video/references/shaders.md

  • Access to secretsline 1378
    [Credential-related source omitted]
  • Access to secretsline 1381
    [Credential-related source omitted]

skills/creative/baoyu-infographic/PORT_NOTES.md

  • Network accessline 3
    Ported from [JimLiu/baoyu-skills](https://github.com/JimLiu/baoyu-skills) v1.56.1.
  • Network accessline 35
    # Compare versions curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-infographic/SKILL.md | head -5
  • Network accessline 36
    curl -sL https://raw.githubusercontent.com/JimLiu/baoyu-skills/main/skills/baoyu-infographic/SKILL.md | head -5
  • Network accessline 39
    # Diff reference files diff <(curl -sL https://raw.githubusercontent.com/.../references/layouts/bento-grid.md) references/layouts/bento-grid.md
  • Network accessline 40
    diff <(curl -sL https://raw.githubusercontent.com/.../references/layouts/bento-grid.md) references/layouts/bento-grid.md

skills/creative/baoyu-infographic/SKILL.md

  • Network accessline 9
    hermes:     tags: [infographic, visual-summary, creative, image-generation]     homepage: https://github.com/JimLiu/baoyu-skills#baoyu-infographic
  • Network accessline 10
    tags: [infographic, visual-summary, creative, image-generation]     homepage: https://github.com/JimLiu/baoyu-skills#baoyu-infographic ---
  • Network accessline 11
    homepage: https://github.com/JimLiu/baoyu-skills#baoyu-infographic
  • Network accessline 16
    Adapted from [baoyu-infographic](https://github.com/JimLiu/baoyu-skills) for Hermes Agent's tool ecosystem.

skills/creative/humanizer/SKILL.md

  • Network accessline 3
    description: "Humanize text: strip AI-isms and add real voice." version: 2.5.1 author: Siqi Chen (@blader, https://github.com/blader/humanizer), ported by Hermes Agent
  • Network accessline 4
    version: 2.5.1 author: Siqi Chen (@blader, https://github.com/blader/humanizer), ported by Hermes Agent license: MIT
  • Network accessline 5
    author: Siqi Chen (@blader, https://github.com/blader/humanizer), ported by Hermes Agent
  • Network accessline 10
    tags: [writing, editing, humanize, anti-ai-slop, voice, prose, text]     category: creative     homepage: https://github.com/blader/humanizer
  • Network accessline 11
    category: creative     homepage: https://github.com/blader/humanizer     related_skills: [songwriting-and-ai-music]
  • Network accessline 12
    homepage: https://github.com/blader/humanizer
  • Network accessline 643
    This skill is ported from [blader/humanizer](https://github.com/blader/humanizer) (MIT licensed), which is itself based on [Wikipedia: Signs of AI writing](https://en.wikipedia.org/wiki/Wikipedia:Signs_of_AI_writing), maintained by WikiProj
  • Network accessline 645
    Original author: Siqi Chen ([@blader](https://github.com/blader)). Original repo: https://github.com/blader/humanizer (version 2.5.1). Ported to Hermes Agent with Hermes-native tool references (`read_file`, `patch`, `write_file`) and guidan

skills/creative/manim-video/README.md

  • Network accessline 3
    Production pipeline for mathematical and technical animations using [Manim Community Edition](https://www.manim.community/).

skills/creative/manim-video/scripts/setup.sh

  • Executable scriptline 1
    #!/usr/bin/env bash

skills/creative/p5js/README.md

  • Network accessline 3
    Production pipeline for interactive and generative visual art using [p5.js](https://p5js.org/).

skills/creative/p5js/SKILL.md

  • Network accessline 95
    |-----------|---------|-----------| | **Color system** | HSB/HSL, RGB, named palettes, procedural harmony, gradient interpolation | `references/color-systems.md` | | **Noise vocabulary** | Perlin noise, simplex, fractal (octaved), domain wa
  • Network accessline 96
    | **Color system** | HSB/HSL, RGB, named palettes, procedural harmony, gradient interpolation | `references/color-systems.md` | | **Noise vocabulary** | Perlin noise, simplex, fractal (octaved), domain warping, curl noise | `references/visu
  • Network accessline 97
    | **Noise vocabulary** | Perlin noise, simplex, fractal (octaved), domain warping, curl noise | `references/visual-effects.md` § Noise |
  • Network accessline 120
    For every project, invent at least one of: - A custom color palette matching the mood (not a preset) - A novel noise field combination (e.g., curl noise + domain warp + feedback)
  • Network accessline 121
    - A custom color palette matching the mood (not a preset) - A novel noise field combination (e.g., curl noise + domain warp + feedback) - A unique particle behavior (custom forces, custom trails, custom spawning)
  • Network accessline 122
    - A novel noise field combination (e.g., curl noise + domain warp + feedback)
  • Network accessline 184
    <title>Project Name</title>   <script>p5.disableFriendlyErrors = true;</script>   <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/p5.min.js"></script>
  • Network accessline 185
    <script>p5.disableFriendlyErrors = true;</script>   <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/p5.min.js"></script>   <!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/addons/p5.sound.min.js"></scri
  • Network accessline 186
    <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/p5.min.js"></script>
  • Network accessline 187
    <!-- <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/addons/p5.sound.min.js"></script> -->
  • Network accessline 188
    <!-- <script src="https://unpkg.com/p5.js-svg@1.6.0"></script> -->  <!-- SVG export -->
  • Network accessline 189
    <!-- <script src="https://cdn.jsdelivr.net/npm/ccapture.js-npmfixed/build/CCapture.all.min.js"></script> -->  <!-- video capture -->
  • Network accessline 489
    1. **Write the HTML file** — single self-contained file, all code inline 2. **Open in browser** — `open sketch.html` (macOS) or `xdg-open sketch.html` (Linux) 3. **Local assets** (fonts, images) require a server: `python -m http.server 8080
  • Network accessline 490
    2. **Open in browser** — `open sketch.html` (macOS) or `xdg-open sketch.html` (Linux) 3. **Local assets** (fonts, images) require a server: `python -m http.server 8080` in the project directory, then open `http://localhost:8080/sketch.html`
  • Network accessline 491
    3. **Local assets** (fonts, images) require a server: `python -m http.server 8080` in the project directory, then open `http://localhost:8080/sketch.html`

skills/creative/p5js/references/core-api.md

  • Network accessline 409
    <script src="https://cdn.jsdelivr.net/npm/p5@2/lib/p5.min.js"></script>

skills/creative/p5js/references/export-pipeline.md

  • Network accessline 335
    <script src="https://unpkg.com/p5.js-svg@1.5.1"></script>
  • Network accessline 411
    <script src="https://cdn.jsdelivr.net/npm/ccapture.js-npmfixed/build/CCapture.all.min.js"></script>
  • Network accessline 494
    <script src="https://unpkg.com/p5.js-svg@1.6.0"></script>

skills/creative/p5js/references/interaction.md

  • Network accessline 276
    <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/addons/p5.sound.min.js"></script>

skills/creative/p5js/references/typography.md

  • Network accessline 31
    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;700&display=swap" rel="stylesheet">

skills/creative/p5js/references/visual-effects.md

  • Network accessline 66
    ### Curl Noise
  • Network accessline 68
    Divergence-free noise field. Particles following curl noise never converge or diverge — they flow in smooth, swirling patterns.
  • Network accessline 76
    let dndy = (noise(x * scale, y * scale + eps, time) -               noise(x * scale, y * scale - eps, time)) / (2 * eps);   // Curl = perpendicular to gradient
  • Network accessline 77
    noise(x * scale, y * scale - eps, time)) / (2 * eps);   // Curl = perpendicular to gradient   return createVector(dndy, -dndx);
  • Network accessline 78
    // Curl = perpendicular to gradient
  • Network accessline 794
    for (let dy = -2; dy <= 2; dy++) {         for (let dx = -2; dx <= 2; dx++) {           let nc = col + dx, nr = row + dy;
  • Network accessline 795
    for (let dx = -2; dx <= 2; dx++) {           let nc = col + dx, nr = row + dy;           if (nc >= 0 && nc < cols && nr >= 0 && nr < rows) {
  • Network accessline 796
    let nc = col + dx, nr = row + dy;
  • Network accessline 797
    if (nc >= 0 && nc < cols && nr >= 0 && nr < rows) {
  • Network accessline 798
    let gi = nc + nr * cols;
  • Network accessline 825
    <script src="https://cdn.jsdelivr.net/npm/p5.brush@latest/dist/p5.brush.js"></script>
  • Network accessline 849
    <script src="https://cdn.jsdelivr.net/npm/p5.grain@0.7.0/p5.grain.min.js"></script>
  • Network accessline 865
    <script src="https://cdn.jsdelivr.net/npm/ccapture.js-npmfixed/build/CCapture.all.min.js"></script>

skills/creative/p5js/scripts/export-frames.js

  • Executable scriptline 1
    #!/usr/bin/env node

skills/creative/p5js/scripts/render.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Dangerous shell operationline 101
    rm -rf "$FRAME_DIR"

skills/creative/p5js/scripts/serve.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 16
    echo "=== p5.js Dev Server ===" echo "Serving: $(cd "$DIR" && pwd)" echo "URL:     http://localhost:$PORT"
  • Network accessline 17
    echo "Serving: $(cd "$DIR" && pwd)" echo "URL:     http://localhost:$PORT" echo "Press Ctrl+C to stop"
  • Network accessline 18
    echo "URL:     http://localhost:$PORT"

skills/creative/p5js/scripts/setup.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Network accessline 23
    else   warn "Node.js not found — optional, needed for headless export"   echo "  Install: https://nodejs.org/ or 'brew install node'"
  • Network accessline 24
    warn "Node.js not found — optional, needed for headless export"   echo "  Install: https://nodejs.org/ or 'brew install node'" fi
  • Network accessline 25
    echo "  Install: https://nodejs.org/ or 'brew install node'"

skills/creative/p5js/templates/viewer.html

  • Network accessline 26
    <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>Generative Art Viewer</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/p5.min.js"></script>
  • Network accessline 27
    <title>Generative Art Viewer</title> <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/p5.min.js"></script> <style>
  • Network accessline 28
    <script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.11.3/p5.min.js"></script>

skills/creative/popular-web-designs/SKILL.md

  • Network accessline 57
    <title>Page Title</title>   <!-- Paste the Google Fonts <link> from the template's Hermes notes -->   <link href="https://fonts.googleapis.com/css2?family=..." rel="stylesheet">
  • Network accessline 58
    <!-- Paste the Google Fonts <link> from the template's Hermes notes -->   <link href="https://fonts.googleapis.com/css2?family=..." rel="stylesheet">   <style>
  • Network accessline 59
    <link href="https://fonts.googleapis.com/css2?family=..." rel="stylesheet">

skills/creative/popular-web-designs/templates/airbnb.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/airtable.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/bmw.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/cal.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Roboto Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Roboto+Mono:wght@400;500;700&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Roboto+Mono:wght@400;500;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/claude.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/clay.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/clickhouse.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/cohere.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/coinbase.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/composio.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,ops
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/cursor.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/elevenlabs.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/expo.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/figma.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/framer.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Azeret Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Azeret+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Azeret+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/hashicorp.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/ibm.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'IBM Plex Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wgh
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;600&family=IBM+Plex+Sans:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=IBM+Plex+Mono:wght@400;500;600&family=IBM+Plex+Sans:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/intercom.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/kraken.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/linear.app.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/lovable.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/minimax.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/mintlify.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Geist Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;5
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/miro.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/mistral.ai.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/mongodb.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Source Code Pro', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Source+Code+Pro:wght@400;500;600&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Source+Code+Pro:wght@400;500;600&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/notion.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/nvidia.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/ollama.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/opencode.ai.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:w
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/pinterest.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/posthog.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/raycast.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Geist Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;5
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/replicate.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/resend.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Geist Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;5
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;500;600&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;500;600&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/revolut.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/runwayml.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/sanity.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'IBM Plex Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wgh
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;400;500;600;700&family=IBM+Plex+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Space+Grotesk:wght@300;400;500;600;700&family=IBM+Plex+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/sentry.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Rubik:wght@300;4
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Rubik:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Rubik:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/spacex.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/spotify.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/stripe.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Source Code Pro', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Source+Sans+3:w
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Source+Sans+3:wght@300;400;500;600&family=Source+Code+Pro:wght@400;500;700&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Source+Sans+3:wght@300;400;500;600&family=Source+Code+Pro:wght@400;500;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/supabase.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Source Code Pro', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Source+Code+Pro:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=Source+Code+Pro:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/superhuman.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/together.ai.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;4
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    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
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    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/uber.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=DM+Sans:ital,opsz,wght@0,9..40,100..1000;1,9..40,100..1000&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/vercel.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Geist Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;5
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;500;600&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;500;600&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/voltagent.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'JetBrains Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:w
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/warp.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Geist Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;5
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;500;600&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Geist:wght@300;400;500;600&family=Geist+Mono:wght@400;500&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/webflow.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/wise.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/x.ai.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: 'Geist Mono', ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist+Mono:wght@300;
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Geist+Mono:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Geist+Mono:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/creative/popular-web-designs/templates/zapier.md

  • Network accessline 9
    > - **Mono stack (CSS):** `font-family: ui-monospace, SFMono-Regular, Menlo, Monaco, Consolas, 'Liberation Mono', 'Courier New', monospace;` > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&dis
  • Network accessline 10
    > ```html > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet"> > ```
  • Network accessline 11
    > <link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700&display=swap" rel="stylesheet">

skills/email/himalaya/SKILL.md

  • Network accessline 9
    hermes:     tags: [Email, IMAP, SMTP, CLI, Communication]     homepage: https://github.com/pimalaya/himalaya
  • Network accessline 10
    tags: [Email, IMAP, SMTP, CLI, Communication]     homepage: https://github.com/pimalaya/himalaya prerequisites:
  • Network accessline 11
    homepage: https://github.com/pimalaya/himalaya
  • Network accessline 39
    # Pre-built binary (Linux/macOS — recommended) curl -sSL https://raw.githubusercontent.com/pimalaya/himalaya/master/install.sh | PREFIX=~/.local sh
  • Network accessline 40
    curl -sSL https://raw.githubusercontent.com/pimalaya/himalaya/master/install.sh | PREFIX=~/.local sh

skills/email/himalaya/references/configuration.md

  • Access to secretsline 51
    [Credential-related source omitted]
  • Network accessline 198
    backend.auth.access-token.cmd = "pass show oauth/access-token" backend.auth.refresh-token.cmd = "pass show oauth/refresh-token" backend.auth.auth-url = "https://provider.com/oauth/authorize"
  • Network accessline 199
    backend.auth.refresh-token.cmd = "pass show oauth/refresh-token" backend.auth.auth-url = "https://provider.com/oauth/authorize" backend.auth.token-url = "https://provider.com/oauth/token"
  • Network accessline 200
    backend.auth.auth-url = "https://provider.com/oauth/authorize"
  • Network accessline 201
    backend.auth.token-url = "https://provider.com/oauth/token"

skills/media/youtube-content/SKILL.md

  • Network accessline 28
    From that checkout, first follow the isolated development-home setup in [Package Management](https://hermes-agent.nousresearch.com/docs/reference/package-management#developer-workflow),
  • Network accessline 29
    [Package Management](https://hermes-agent.nousresearch.com/docs/reference/package-management#developer-workflow),
  • Network accessline 49
    # JSON output with metadata python SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"
  • Network accessline 50
    python SKILL_DIR/scripts/fetch_transcript.py "https://youtube.com/watch?v=VIDEO_ID"

skills/media/youtube-content/scripts/fetch_transcript.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 63
    api = YouTubeTranscriptApi()     if languages:         result = api.fetch(video_id, languages=languages)
  • Network accessline 64
    if languages:         result = api.fetch(video_id, languages=languages)     else:
  • Network accessline 65
    result = api.fetch(video_id, languages=languages)
  • Network accessline 67
    result = api.fetch(video_id)

skills/productivity/google-workspace/SKILL.md

  • Access to secretsline 11
    [Credential-related source omitted]
  • Network accessline 14
    hermes:     tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]     homepage: https://github.com/NousResearch/hermes-agent
  • Network accessline 15
    tags: [Google, Gmail, Calendar, Drive, Sheets, Docs, Contacts, Email, OAuth]     homepage: https://github.com/NousResearch/hermes-agent     related_skills: [himalaya]
  • Network accessline 16
    homepage: https://github.com/NousResearch/hermes-agent
  • Network accessline 93
    > > 1. Create or select a project: >    https://console.cloud.google.com/projectselector2/home/dashboard
  • Network accessline 94
    > 1. Create or select a project: >    https://console.cloud.google.com/projectselector2/home/dashboard > 2. Enable the required APIs from the API Library:
  • Network accessline 95
    >    https://console.cloud.google.com/projectselector2/home/dashboard
  • Network accessline 96
    > 2. Enable the required APIs from the API Library: >    https://console.cloud.google.com/apis/library >    Enable: Gmail API, Google Calendar API, Google Drive API,
  • Network accessline 97
    >    https://console.cloud.google.com/apis/library
  • Network accessline 99
    >    Google Sheets API, Google Docs API, People API > 3. Create the OAuth client here: >    https://console.cloud.google.com/apis/credentials
  • Network accessline 100
    > 3. Create the OAuth client here: >    https://console.cloud.google.com/apis/credentials >    Credentials → Create Credentials → OAuth 2.0 Client ID
  • Network accessline 101
    >    https://console.cloud.google.com/apis/credentials
  • Network accessline 103
    > 4. Application type: "Desktop app" → Create > 5. If the app is still in Testing, add the user's Google account as a test user here: >    https://console.cloud.google.com/auth/audience
  • Network accessline 104
    > 5. If the app is still in Testing, add the user's Google account as a test user here: >    https://console.cloud.google.com/auth/audience >    Audience → Test users → Add users
  • Network accessline 105
    >    https://console.cloud.google.com/auth/audience >    Audience → Test users → Add users > 6. Download the JSON file and tell me the file path
  • Access to secretsline 115
    [Credential-related source omitted]
  • Network accessline 136
    Agent rules for this step: - Extract the `auth_url` field and send that exact URL to the user as a single line. - Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected.
  • Network accessline 137
    - Extract the `auth_url` field and send that exact URL to the user as a single line. - Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected. - Tell them to copy the ENTIRE redirec
  • Network accessline 138
    - Tell the user that the browser will likely fail on `http://localhost:1` after approval, and that this is expected.
  • Network accessline 140
    - If the user gets `Error 403: access_denied`, send them directly to `https://console.cloud.google.com/auth/audience` to add themselves as a test user.
  • Network accessline 144
    The user will paste back either a URL like `http://localhost:1/?code=4/0A...&scope=...`

skills/productivity/google-workspace/scripts/_hermes_home.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 31
    [Credential-related source omitted]

skills/productivity/google-workspace/scripts/google_api.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 43
    [Credential-related source omitted]
  • Network accessline 45
    SCOPES = [     "https://www.googleapis.com/auth/gmail.readonly",
  • Network accessline 46
    "https://www.googleapis.com/auth/gmail.readonly",
  • Network accessline 47
    "https://www.googleapis.com/auth/gmail.send",
  • Network accessline 48
    "https://www.googleapis.com/auth/gmail.modify",
  • Network accessline 49
    "https://www.googleapis.com/auth/calendar",
  • Network accessline 50
    "https://www.googleapis.com/auth/drive",
  • Network accessline 51
    "https://www.googleapis.com/auth/contacts.readonly",
  • Network accessline 52
    "https://www.googleapis.com/auth/spreadsheets",
  • Network accessline 53
    "https://www.googleapis.com/auth/documents",
  • Access to secretsline 90
    [Credential-related source omitted]
  • Network accessline 1073
    "documentId": doc_id,         "title": doc.get("title", ""),         "url": f"https://docs.google.com/document/d/{doc_id}/edit" if doc_id else "",
  • Network accessline 1074
    "title": doc.get("title", ""),         "url": f"https://docs.google.com/document/d/{doc_id}/edit" if doc_id else "",     }, indent=2, ensure_ascii=False))
  • Network accessline 1075
    "url": f"https://docs.google.com/document/d/{doc_id}/edit" if doc_id else "",

skills/productivity/google-workspace/scripts/gws_bridge.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 38
    [Credential-related source omitted]
  • Access to secretsline 47
    [Credential-related source omitted]
  • Network accessline 59
    req = urllib.request.Request(token_data["token_uri"], data=params)
  • Network accessline 60
    try:         with urllib.request.urlopen(req, timeout=15) as resp:             result = json.loads(resp.read())
  • Network accessline 61
    with urllib.request.urlopen(req, timeout=15) as resp:
  • Access to secretsline 72
    [Credential-related source omitted]
  • Access to secretsline 109
    [Credential-related source omitted]
  • Access to secretsline 110
    [Credential-related source omitted]
  • Access to secretsline 111
    [Credential-related source omitted]

skills/productivity/google-workspace/scripts/setup.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 17
    [Credential-related source omitted]
  • Access to secretsline 47
    [Credential-related source omitted]
  • Network accessline 50
    SCOPES = [     "https://www.googleapis.com/auth/gmail.readonly",
  • Network accessline 51
    "https://www.googleapis.com/auth/gmail.readonly",
  • Network accessline 52
    "https://www.googleapis.com/auth/gmail.send",
  • Network accessline 53
    "https://www.googleapis.com/auth/gmail.modify",
  • Network accessline 54
    "https://www.googleapis.com/auth/calendar",
  • Network accessline 55
    "https://www.googleapis.com/auth/drive",
  • Network accessline 56
    "https://www.googleapis.com/auth/contacts.readonly",
  • Network accessline 57
    "https://www.googleapis.com/auth/spreadsheets",
  • Network accessline 58
    "https://www.googleapis.com/auth/documents",
  • Network accessline 64
    REDIRECT_URI = "http://localhost:1"
  • Access to secretsline 220
    [Credential-related source omitted]
  • Access to secretsline 221
    [Credential-related source omitted]
  • Network accessline 233
    if "installed" not in data and "web" not in data:         print("ERROR: Not a Google OAuth client secret file (missing 'installed' key).")         print("Download the correct file from: https://console.cloud.google.com/apis/credentials")
  • Network accessline 234
    print("ERROR: Not a Google OAuth client secret file (missing 'installed' key).")         print("Download the correct file from: https://console.cloud.google.com/apis/credentials")         sys.exit(1)
  • Network accessline 235
    print("Download the correct file from: https://console.cloud.google.com/apis/credentials")
  • Access to secretsline 353
    [Credential-related source omitted]
  • Network accessline 399
    import urllib.request         urllib.request.urlopen(
  • Network accessline 400
    urllib.request.urlopen(
  • Network accessline 401
    urllib.request.Request(
  • Network accessline 402
    [Credential-related source omitted]
  • Access to secretsline 422
    [Credential-related source omitted]
  • Access to secretsline 433
    [Credential-related source omitted]
  • Access to secretsline 434
    [Credential-related source omitted]

skills/productivity/maps/scripts/maps_client.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 34
    NOMINATIM_SEARCH  = "https://nominatim.openstreetmap.org/search"
  • Network accessline 35
    NOMINATIM_REVERSE = "https://nominatim.openstreetmap.org/reverse"
  • Network accessline 38
    OVERPASS_URLS = [     "https://overpass-api.de/api/interpreter",
  • Network accessline 39
    "https://overpass-api.de/api/interpreter",
  • Network accessline 40
    "https://overpass.kumi.systems/api/interpreter",
  • Network accessline 43
    OVERPASS_API      = OVERPASS_URLS[0] OSRM_BASE         = "https://router.project-osrm.org/route/v1"
  • Network accessline 44
    OSRM_BASE         = "https://router.project-osrm.org/route/v1"
  • Network accessline 45
    TIMEAPI_BASE      = "https://timeapi.io/api/timezone/coordinate"
  • Network accessline 173
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
  • Network accessline 176
    for attempt in range(1, retries + 1):         try:             with urllib.request.urlopen(req, timeout=15) as resp:
  • Network accessline 177
    try:             with urllib.request.urlopen(req, timeout=15) as resp:                 raw = resp.read().decode("utf-8")
  • Network accessline 178
    with urllib.request.urlopen(req, timeout=15) as resp:
  • Network accessline 210
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
  • Network accessline 213
    for attempt in range(1, retries + 1):         try:             with urllib.request.urlopen(req, timeout=15) as resp:
  • Network accessline 214
    try:             with urllib.request.urlopen(req, timeout=15) as resp:                 return resp.read().decode("utf-8")
  • Network accessline 215
    with urllib.request.urlopen(req, timeout=15) as resp:
  • Network accessline 240
    encoded = data_str.encode("utf-8")     req = urllib.request.Request(
  • Network accessline 241
    req = urllib.request.Request(
  • Network accessline 251
    for attempt in range(1, retries + 1):         try:             with urllib.request.urlopen(req, timeout=30) as resp:
  • Network accessline 252
    try:             with urllib.request.urlopen(req, timeout=30) as resp:                 raw = resp.read().decode("utf-8")
  • Network accessline 253
    with urllib.request.urlopen(req, timeout=30) as resp:
  • Network accessline 458
    "maps_url": f"https://www.google.com/maps/search/?api=1&query={el_lat},{el_lon}",
  • Network accessline 482
    place["directions_url"] = (                 f"https://www.google.com/maps/dir/?api=1"
  • Network accessline 483
    f"https://www.google.com/maps/dir/?api=1"

skills/productivity/microsoft-office/SKILL.md

  • Dangerous shell operationline 70
    case "$old" in hermes-docs-venv.??????) rm -rf "$old" ;; esac
  • Dangerous shell operationline 72
    [ "$(readlink hermes-docs-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"

skills/productivity/microsoft-office/references/excel.md

  • Network accessline 64
    | List tables | `xlsx_edit.py f.xlsx --list-tables` | | Defined names | `--define-name "Rates='Data'!$B$2:$B$9"` / `--delete-name Rates` / `xlsx_read.py f.xlsx --names` | | Hyperlink | `--hyperlink "A1=https://example.com|Docs"` |
  • Network accessline 65
    | Defined names | `--define-name "Rates='Data'!$B$2:$B$9"` / `--delete-name Rates` / `xlsx_read.py f.xlsx --names` | | Hyperlink | `--hyperlink "A1=https://example.com|Docs"` | | Cell note | `--note "B2=Check this|Reviewer"`; read via `xlsx
  • Network accessline 66
    | Hyperlink | `--hyperlink "A1=https://example.com|Docs"` |

skills/productivity/microsoft-office/references/revisions-and-comments.md

  • Network accessline 9
    Word records run-level tracked changes as wrapper elements inside a paragraph (`w:p`), in the `w` namespace `http://schemas.openxmlformats.org/wordprocessingml/2006/main`:
  • Network accessline 11
    `http://schemas.openxmlformats.org/wordprocessingml/2006/main`:

skills/productivity/microsoft-office/scripts/csv_to_xlsx.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/docx_comments.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 35
    W = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
  • Network accessline 104
    t = etree.SubElement(el, q("t"))         t.text = s         t.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")
  • Network accessline 105
    t.text = s         t.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")     return right
  • Network accessline 106
    t.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")

skills/productivity/microsoft-office/scripts/docx_common.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/docx_create.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/docx_edit.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 39
    W = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
  • Network accessline 109
    pt.text = (pt.text or "") + ((ct.text or "")                                              if ct is not None else "")                 pt.set("{http://www.w3.org/XML/1998/namespace}space",
  • Network accessline 110
    if ct is not None else "")                 pt.set("{http://www.w3.org/XML/1998/namespace}space",                        "preserve")
  • Network accessline 111
    pt.set("{http://www.w3.org/XML/1998/namespace}space",
  • Network accessline 131
    elif extra is instr:             it = r.makeelement(_q("instrText"), {})             it.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")
  • Network accessline 132
    it = r.makeelement(_q("instrText"), {})             it.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")             it.text = instr
  • Network accessline 133
    it.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")

skills/productivity/microsoft-office/scripts/docx_read.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/docx_revisions.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 37
    W = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"

skills/productivity/microsoft-office/scripts/docx_template.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/docx_validate.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 32
    W = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
  • Network accessline 33
    R = "http://schemas.openxmlformats.org/officeDocument/2006/relationships"
  • Network accessline 34
    PR = "http://schemas.openxmlformats.org/package/2006/relationships"
  • Possible obfuscationline 39
    b"\x01\x00\x00\x00",              # EMF
  • Possible obfuscationline 40
    b"\xd7\xcd\xc6\x9a", b"\x01\x00\x09\x00",  # WMF variants

skills/productivity/microsoft-office/scripts/pptx_create.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 12
    "size": 18, "color": "CC0000", "font": "Arial",                   "italic": false,                   "link": "https://example.com/agenda"}],
  • Network accessline 13
    "italic": false,                   "link": "https://example.com/agenda"}],      "background": "1F2937",           // solid slide background (hex)
  • Network accessline 14
    "link": "https://example.com/agenda"}],

skills/productivity/microsoft-office/scripts/pptx_edit.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 54
    R_EMBED = "{http://schemas.openxmlformats.org/officeDocument/2006/relationships}"

skills/productivity/microsoft-office/scripts/pptx_from_template.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/pptx_read.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/pptx_render.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/xlsx_create.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/xlsx_edit.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/xlsx_read.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/xlsx_recalc.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/xlsx_restructure.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/scripts/xlsx_to_csv.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/microsoft-office/tests/test_docx_skill.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 41
    [Credential-related source omitted]
  • Access to secretsline 246
    [Credential-related source omitted]
  • Network accessline 258
    W = "http://schemas.openxmlformats.org/wordprocessingml/2006/main"
  • Access to secretsline 266
    [Credential-related source omitted]
  • Network accessline 279
    t = etree.SubElement(r, q("t"))     t.text = text     t.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")
  • Network accessline 281
    t.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")
  • Network accessline 291
    t = etree.SubElement(r, q("delText"))     t.text = text     t.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")
  • Network accessline 293
    t.set("{http://www.w3.org/XML/1998/namespace}space", "preserve")

skills/productivity/microsoft-office/tests/test_powerpoint_skill.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 18
    [Credential-related source omitted]
  • Possible obfuscationline 40
    data = base64.b64decode(
  • Possible obfuscationline 251
    blue = base64.b64decode(
  • Access to secretsline 288
    [Credential-related source omitted]
  • Possible obfuscationline 408
    blue = base64.b64decode(
  • Network accessline 442
    "slide_number": True,          "bullets": [{"text": "Visit example",                       "link": "https://example.com/info"}]}]})
  • Network accessline 443
    "bullets": [{"text": "Visit example",                       "link": "https://example.com/info"}]}]})     out = workdir / "polish.pptx"
  • Network accessline 444
    "link": "https://example.com/info"}]}]})
  • Network accessline 456
    for p in sh.text_frame.paragraphs for r in p.runs                  if r.hyperlink.address]     assert link_runs[0].hyperlink.address == "https://example.com/info"
  • Network accessline 458
    assert link_runs[0].hyperlink.address == "https://example.com/info"
  • Network accessline 464
    result = run("pptx_edit.py", deck, "--output", str(edited),                  "--set-background", "0", "004400",                  "--hyperlink", "1", "Overview", "https://example.com/x",
  • Network accessline 465
    "--set-background", "0", "004400",                  "--hyperlink", "1", "Overview", "https://example.com/x",                  "--enable-slide-number", "1",
  • Network accessline 466
    "--hyperlink", "1", "Overview", "https://example.com/x",
  • Network accessline 480
    for p in sh.text_frame.paragraphs for r in p.runs              if r.hyperlink.address]     assert links == ["https://example.com/x"]
  • Network accessline 482
    assert links == ["https://example.com/x"]

skills/productivity/microsoft-office/tests/test_xlsx_skill.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 26
    [Credential-related source omitted]
  • Network accessline 484
    "sheets": [{"name": "D", "cells": {             "A1": {"value": "docs",                    "hyperlink": "https://example.com/docs"},
  • Network accessline 485
    "A1": {"value": "docs",                    "hyperlink": "https://example.com/docs"},             "B1": {"value": 0.07, "note": "quarterly rate"},
  • Network accessline 486
    "hyperlink": "https://example.com/docs"},
  • Network accessline 496
    wb = load_workbook(book)     ws = wb["D"]     assert ws["A1"].hyperlink.target == "https://example.com/docs"
  • Network accessline 497
    ws = wb["D"]     assert ws["A1"].hyperlink.target == "https://example.com/docs"     assert ws["B1"].comment.text == "quarterly rate"
  • Network accessline 498
    assert ws["A1"].hyperlink.target == "https://example.com/docs"
  • Network accessline 505
    "--define-name", "Extra='D'!$C$1",         "--delete-name", "Rate",         "--hyperlink", "D1=https://example.com/more|More",
  • Network accessline 506
    "--delete-name", "Rate",         "--hyperlink", "D1=https://example.com/more|More",         "--note", "D1=see more|Reviewer",
  • Network accessline 507
    "--hyperlink", "D1=https://example.com/more|More",
  • Network accessline 512
    assert "Rate" not in wb.defined_names     assert wb.defined_names["Extra"].attr_text == "'D'!$C$1"     assert ws["D1"].hyperlink.target == "https://example.com/more"
  • Network accessline 513
    assert wb.defined_names["Extra"].attr_text == "'D'!$C$1"     assert ws["D1"].hyperlink.target == "https://example.com/more"     assert ws["D1"].value == "More"
  • Network accessline 514
    assert ws["D1"].hyperlink.target == "https://example.com/more"
  • Access to secretsline 569
    [Credential-related source omitted]

skills/productivity/pdf/SKILL.md

  • Dangerous shell operationline 61
    case "$old" in hermes-docs-venv.??????) rm -rf "$old" ;; esac
  • Dangerous shell operationline 63
    [ "$(readlink hermes-docs-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"

skills/productivity/pdf/references/ocr-extraction.md

  • Network accessline 18
    web_extract(urls=["https://arxiv.org/pdf/2402.03300"])
  • Network accessline 19
    web_extract(urls=["https://example.com/report.pdf"])
  • Dangerous shell operationline 75
    case "$old" in hermes-pdf-pymupdf-venv.??????) rm -rf "$old" ;; esac
  • Dangerous shell operationline 77
    [ "$(readlink hermes-pdf-pymupdf-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"
  • Dangerous shell operationline 126
    case "$old" in hermes-pdf-marker-venv.??????) rm -rf "$old" ;; esac
  • Dangerous shell operationline 128
    [ "$(readlink hermes-pdf-marker-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"
  • Network accessline 154
    # Abstract only (fast) web_extract(urls=["https://arxiv.org/abs/2402.03300"])
  • Network accessline 155
    web_extract(urls=["https://arxiv.org/abs/2402.03300"])
  • Network accessline 157
    # Full paper web_extract(urls=["https://arxiv.org/pdf/2402.03300"])
  • Network accessline 158
    web_extract(urls=["https://arxiv.org/pdf/2402.03300"])

skills/productivity/pdf/scripts/_raster.py

  • Executable scriptline 1
    Executable file

skills/productivity/pdf/scripts/extract_marker.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/extract_pymupdf.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_create.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_fill_form.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_form_layout.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_make_form.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_merge.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_meta.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_page_image.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_read.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_secure.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_split.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_stamp.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/scripts/pdf_watermark.py

  • Executable scriptline 1
    #!/usr/bin/env python3

skills/productivity/pdf/tests/test_pdf_skill.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 16
    [Credential-related source omitted]

skills/productivity/teams-meeting-pipeline/SKILL.md

  • Access to secretsline 9
    [Credential-related source omitted]
  • Access to secretsline 52
    [Credential-related source omitted]

skills/research/arxiv/SKILL.md

  • Network accessline 20
    | Action | Command | |--------|---------| | Search papers | `curl "https://export.arxiv.org/api/query?search_query=all:QUERY&max_results=5"` |
  • Network accessline 21
    |--------|---------| | Search papers | `curl "https://export.arxiv.org/api/query?search_query=all:QUERY&max_results=5"` | | Get specific paper | `curl "https://export.arxiv.org/api/query?id_list=2402.03300"` |
  • Network accessline 22
    | Search papers | `curl "https://export.arxiv.org/api/query?search_query=all:QUERY&max_results=5"` |
  • Network accessline 23
    | Get specific paper | `curl "https://export.arxiv.org/api/query?id_list=2402.03300"` |
  • Network accessline 24
    | Read abstract (web) | `web_extract(urls=["https://arxiv.org/abs/2402.03300"])` |
  • Network accessline 25
    | Read full paper (PDF) | `web_extract(urls=["https://arxiv.org/pdf/2402.03300"])` |
  • Network accessline 34
    curl -s "https://export.arxiv.org/api/query?search_query=all:GRPO+reinforcement+learning&max_results=5"
  • Dangerous shell operationline 40
    curl -s "https://export.arxiv.org/api/query?search_query=all:GRPO+reinforcement+learning&max_results=5&sortBy=submittedDate&sortOrder=descending" | python -c "
  • Network accessline 40
    curl -s "https://export.arxiv.org/api/query?search_query=all:GRPO+reinforcement+learning&max_results=5&sortBy=submittedDate&sortOrder=descending" | python -c "
  • Network accessline 41
    import sys, xml.etree.ElementTree as ET ns = {'a': 'http://www.w3.org/2005/Atom'} root = ET.parse(sys.stdin).getroot()
  • Network accessline 42
    ns = {'a': 'http://www.w3.org/2005/Atom'}
  • Network accessline 53
    print(f'   Published: {published} | Categories: {cats}')     print(f'   Abstract: {summary}...')     print(f'   PDF: https://arxiv.org/pdf/{arxiv_id}')
  • Network accessline 54
    print(f'   Abstract: {summary}...')     print(f'   PDF: https://arxiv.org/pdf/{arxiv_id}')     print()
  • Network accessline 55
    print(f'   PDF: https://arxiv.org/pdf/{arxiv_id}')
  • Network accessline 100
    # Latest 10 papers in cs.AI curl -s "https://export.arxiv.org/api/query?search_query=cat:cs.AI&sortBy=submittedDate&sortOrder=descending&max_results=10"
  • Network accessline 101
    curl -s "https://export.arxiv.org/api/query?search_query=cat:cs.AI&sortBy=submittedDate&sortOrder=descending&max_results=10"
  • Network accessline 107
    # By arXiv ID curl -s "https://export.arxiv.org/api/query?id_list=2402.03300"
  • Network accessline 108
    curl -s "https://export.arxiv.org/api/query?id_list=2402.03300"
  • Network accessline 110
    # Multiple papers curl -s "https://export.arxiv.org/api/query?id_list=2402.03300,2401.12345,2403.00001"
  • Network accessline 111
    curl -s "https://export.arxiv.org/api/query?id_list=2402.03300,2401.12345,2403.00001"
  • Dangerous shell operationline 120
    curl -s "https://export.arxiv.org/api/query?id_list=1706.03762" | python -c "
  • Network accessline 120
    curl -s "https://export.arxiv.org/api/query?id_list=1706.03762" | python -c "
  • Network accessline 121
    import sys, xml.etree.ElementTree as ET ns = {'a': 'http://www.w3.org/2005/Atom', 'arxiv': 'http://arxiv.org/schemas/atom'} root = ET.parse(sys.stdin).getroot()
  • Network accessline 122
    ns = {'a': 'http://www.w3.org/2005/Atom', 'arxiv': 'http://arxiv.org/schemas/atom'}
  • Network accessline 138
    print(f'  archivePrefix = {{arXiv}},') print(f'  primaryClass  = {{{primary}}},') print(f'  url       = {{https://arxiv.org/abs/{raw_id}}}')
  • Network accessline 139
    print(f'  primaryClass  = {{{primary}}},') print(f'  url       = {{https://arxiv.org/abs/{raw_id}}}') print('}')
  • Network accessline 140
    print(f'  url       = {{https://arxiv.org/abs/{raw_id}}}')
  • Network accessline 151
    # Abstract page (fast, metadata + abstract) web_extract(urls=["https://arxiv.org/abs/2402.03300"])
  • Network accessline 152
    web_extract(urls=["https://arxiv.org/abs/2402.03300"])
  • Network accessline 154
    # Full paper (PDF → markdown via Firecrawl) web_extract(urls=["https://arxiv.org/pdf/2402.03300"])
  • Network accessline 155
    web_extract(urls=["https://arxiv.org/pdf/2402.03300"])
  • Network accessline 173
    Full list: https://arxiv.org/category_taxonomy
  • Network accessline 199
    # By arXiv ID curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2402.03300?fields=title,authors,citationCount,referenceCount,influentialCitationCount,year,abstract" | python -m json.tool
  • Dangerous shell operationline 200
    curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2402.03300?fields=title,authors,citationCount,referenceCount,influentialCitationCount,year,abstract" | python -m json.tool
  • Network accessline 200
    curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2402.03300?fields=title,authors,citationCount,referenceCount,influentialCitationCount,year,abstract" | python -m json.tool
  • Network accessline 202
    # By Semantic Scholar paper ID or DOI curl -s "https://api.semanticscholar.org/graph/v1/paper/DOI:10.1234/example?fields=title,citationCount"
  • Network accessline 203
    curl -s "https://api.semanticscholar.org/graph/v1/paper/DOI:10.1234/example?fields=title,citationCount"
  • Dangerous shell operationline 209
    curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2402.03300/citations?fields=title,authors,year,citationCount&limit=10" | python -m json.tool
  • Network accessline 209
    curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2402.03300/citations?fields=title,authors,year,citationCount&limit=10" | python -m json.tool
  • Dangerous shell operationline 215
    curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2402.03300/references?fields=title,authors,year,citationCount&limit=10" | python -m json.tool
  • Network accessline 215
    curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:2402.03300/references?fields=title,authors,year,citationCount&limit=10" | python -m json.tool
  • Dangerous shell operationline 221
    curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=GRPO+reinforcement+learning&limit=5&fields=title,authors,year,citationCount,externalIds" | python -m json.tool
  • Network accessline 221
    curl -s "https://api.semanticscholar.org/graph/v1/paper/search?query=GRPO+reinforcement+learning&limit=5&fields=title,authors,year,citationCount,externalIds" | python -m json.tool
  • Dangerous shell operationline 227
    curl -s -X POST "https://api.semanticscholar.org/recommendations/v1/papers/"    -H "Content-Type: application/json"    -d '{"positivePaperIds": ["arXiv:2402.03300"], "negativePaperIds": []}' | python -m json.tool
  • Network accessline 227
    curl -s -X POST "https://api.semanticscholar.org/recommendations/v1/papers/" \
  • Dangerous shell operationline 235
    curl -s "https://api.semanticscholar.org/graph/v1/author/search?query=Yann+LeCun&fields=name,hIndex,citationCount,paperCount" | python -m json.tool
  • Network accessline 235
    curl -s "https://api.semanticscholar.org/graph/v1/author/search?query=Yann+LeCun&fields=name,hIndex,citationCount,paperCount" | python -m json.tool
  • Network accessline 246
    1. **Discover**: `python scripts/search_arxiv.py "your topic" --sort date --max 10` 2. **Assess impact**: `curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:ID?fields=citationCount,influentialCitationCount"`
  • Network accessline 247
    2. **Assess impact**: `curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:ID?fields=citationCount,influentialCitationCount"`
  • Network accessline 248
    3. **Read abstract**: `web_extract(urls=["https://arxiv.org/abs/ID"])` 4. **Read full paper**: `web_extract(urls=["https://arxiv.org/pdf/ID"])` 5. **Find related work**: `curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:ID/refe
  • Network accessline 249
    4. **Read full paper**: `web_extract(urls=["https://arxiv.org/pdf/ID"])` 5. **Find related work**: `curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:ID/references?fields=title,citationCount&limit=20"` 6. **Get recommendations**
  • Network accessline 250
    5. **Find related work**: `curl -s "https://api.semanticscholar.org/graph/v1/paper/arXiv:ID/references?fields=title,citationCount&limit=20"`
  • Network accessline 252
    7. **Track authors**: `curl -s "https://api.semanticscholar.org/graph/v1/author/search?query=NAME"`
  • Network accessline 264
    - Semantic Scholar returns JSON — pipe through `python -m json.tool` for readability - arXiv IDs: old format (`hep-th/0601001`) vs new (`2402.03300`) - PDF: `https://arxiv.org/pdf/{id}` — Abstract: `https://arxiv.org/abs/{id}`
  • Network accessline 265
    - arXiv IDs: old format (`hep-th/0601001`) vs new (`2402.03300`) - PDF: `https://arxiv.org/pdf/{id}` — Abstract: `https://arxiv.org/abs/{id}` - HTML (when available): `https://arxiv.org/html/{id}`
  • Network accessline 266
    - PDF: `https://arxiv.org/pdf/{id}` — Abstract: `https://arxiv.org/abs/{id}`
  • Network accessline 267
    - HTML (when available): `https://arxiv.org/html/{id}`
  • Network accessline 273
    - `arxiv.org/abs/1706.03762v1` points to a **specific** immutable version - When generating citations, preserve the version suffix you actually read to prevent citation drift (a later version may substantially change content) - The API `<id
  • Network accessline 275
    - The API `<id>` field returns the versioned URL (e.g., `http://arxiv.org/abs/1706.03762v7`)

skills/research/arxiv/scripts/search_arxiv.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Network accessline 18
    NS = {'a': 'http://www.w3.org/2005/Atom'}
  • Network accessline 44
    url = "https://export.arxiv.org/api/query?" + "&".join(f"{k}={v}" for k, v in params.items())
  • Network accessline 46
    req = urllib.request.Request(url, headers={'User-Agent': 'HermesAgent/1.0'})
  • Network accessline 47
    with urllib.request.urlopen(req, timeout=15) as resp:
  • Network accessline 57
    total = root.find('{http://a9.com/-/spec/opensearch/1.1/}totalResults')
  • Network accessline 76
    print(f"   Categories: {cats}")         print(f"   Abstract: {summary[:300]}{'...' if len(summary) > 300 else ''}")         print(f"   Links: https://arxiv.org/abs/{arxiv_id} | https://arxiv.org/pdf/{arxiv_id}")
  • Network accessline 77
    print(f"   Abstract: {summary[:300]}{'...' if len(summary) > 300 else ''}")         print(f"   Links: https://arxiv.org/abs/{arxiv_id} | https://arxiv.org/pdf/{arxiv_id}")         print()
  • Network accessline 78
    print(f"   Links: https://arxiv.org/abs/{arxiv_id} | https://arxiv.org/pdf/{arxiv_id}")

skills/research/grounded-citations/SKILL.md

  • Network accessline 61
    python "$S" reset                                  # start a clean ledger python "$S" add https://example.com/a --title "A"  # prints: [1]
  • Network accessline 62
    python "$S" add https://example.com/a --title "A"  # prints: [1]
  • Network accessline 63
    python "$S" add https://example.com/b --title "B"  # prints: [2]
  • Network accessline 167
    The quote is rejected unless it appears verbatim in the evidence text (insensitive to whitespace, case, and markdown markup — inline links like `_[ERAP1](https://…)_` in extracted text match the plain prose a reader sees),
  • Network accessline 168
    (insensitive to whitespace, case, and markdown markup — inline links like `_[ERAP1](https://…)_` in extracted text match the plain prose a reader sees), so a paraphrase or misremembered figure cannot masquerade as evidence.
  • Network accessline 169
    `_[ERAP1](https://…)_` in extracted text match the plain prose a reader sees),

skills/research/grounded-citations/references/citation-formats.md

  • Network accessline 13
    [1] https://example.com/a — Page title
  • Network accessline 14
    [2] https://example.com/b

skills/research/grounded-citations/scripts/_hermes_home.py

  • Executable scriptline 1
    Executable file
  • Access to secretsline 22
    [Credential-related source omitted]

skills/research/grounded-citations/scripts/sources.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 68
    [Credential-related source omitted]
  • Network accessline 238
    # ``web_extract`` returns markdown, so the most citation-worthy sentences are # exactly the ones carrying inline links and emphasis around terms: #   "including _[ERAP1](https://…/erap1/)_, _[IL1A](…)_, have also been…"
  • Network accessline 239
    # exactly the ones carrying inline links and emphasis around terms: #   "including _[ERAP1](https://…/erap1/)_, _[IL1A](…)_, have also been…" # reads identically to the page a human sees.  Matching has to see through that
  • Network accessline 240
    #   "including _[ERAP1](https://…/erap1/)_, _[IL1A](…)_, have also been…"

skills/social-media/xurl/SKILL.md

  • Network accessline 11
    hermes:     tags: [twitter, x, social-media, xurl, official-api]     homepage: https://github.com/xdevplatform/xurl
  • Network accessline 12
    tags: [twitter, x, social-media, xurl, official-api]     homepage: https://github.com/xdevplatform/xurl     upstream_skill: https://github.com/openclaw/openclaw/blob/main/skills/xurl/SKILL.md
  • Network accessline 13
    homepage: https://github.com/xdevplatform/xurl
  • Network accessline 14
    upstream_skill: https://github.com/openclaw/openclaw/blob/main/skills/xurl/SKILL.md
  • Network accessline 58
    # Shell script (installs to ~/.local/bin, no sudo, works on Linux + macOS) curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash
  • Dangerous shell operationline 59
    curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash
  • Network accessline 59
    curl -fsSL https://raw.githubusercontent.com/xdevplatform/xurl/main/install.sh | bash
  • Network accessline 86
    1. Create or open an app at https://developer.x.com/en/portal/dashboard
  • Network accessline 87
    2. Set the redirect URI to `http://localhost:8080/callback`
  • Access to secretsline 91
    [Credential-related source omitted]
  • Access to secretsline 120
    [Credential-related source omitted]
  • Network accessline 161
    Notes: - `POST_ID` accepts full URLs too (e.g. `https://x.com/user/status/1234567890`) — xurl extracts the ID.
  • Network accessline 162
    - `POST_ID` accepts full URLs too (e.g. `https://x.com/user/status/1234567890`) — xurl extracts the ID.
  • Network accessline 176
    xurl reply 1234567890 "Great point!" xurl reply https://x.com/user/status/1234567890 "Agreed!"
  • Network accessline 177
    xurl reply https://x.com/user/status/1234567890 "Agreed!"
  • Network accessline 189
    xurl read 1234567890 xurl read https://x.com/user/status/1234567890
  • Network accessline 190
    xurl read https://x.com/user/status/1234567890
  • Network accessline 300
    # Full URLs also work xurl https://api.x.com/2/users/me
  • Network accessline 301
    xurl https://api.x.com/2/users/me
  • Network accessline 356
    xurl read https://x.com/user/status/1234567890
  • Network accessline 434
    - Upstream CLI: https://github.com/xdevplatform/xurl (X developer platform team, Chris Park et al.)
  • Network accessline 435
    - Upstream agent skill: https://github.com/openclaw/openclaw/blob/main/skills/xurl/SKILL.md

skills/software-development/dogfood/SKILL.md

  • Network accessline 64
    new_tab('about:blank')  # first call only: the hook binds to the current tab    cdp('Page.addScriptToEvaluateOnNewDocument', source=HOOK)    goto_url("https://example.com/page")
  • Network accessline 65
    cdp('Page.addScriptToEvaluateOnNewDocument', source=HOOK)    goto_url("https://example.com/page")    wait_for_load()
  • Network accessline 66
    goto_url("https://example.com/page")

skills/software-development/github/references/auth.md

  • Dangerous shell operationline 25
    3. If `gh` is not installed → use "git-only" method below (no sudo needed)
  • Network accessline 39
    Tell the user to go to: **https://github.com/settings/tokens**
  • Access to secretsline 54
    [Credential-related source omitted]
  • Network accessline 58
    [Credential-related source omitted]
  • Network accessline 60
    git ls-remote https://github.com/<their-username>/<any-repo>.git
  • Network accessline 90
    # Test push access (this should work without any prompts now) git ls-remote https://github.com/<their-username>/<any-repo>.git
  • Network accessline 91
    git ls-remote https://github.com/<their-username>/<any-repo>.git
  • Access to secretsline 105
    [Credential-related source omitted]
  • Access to secretsline 112
    [Credential-related source omitted]
  • Access to secretsline 115
    [Credential-related source omitted]
  • Network accessline 118
    Tell the user to add the public key at: **https://github.com/settings/keys**
  • Network accessline 133
    # Rewrite HTTPS GitHub URLs to SSH automatically git config --global url."git@github.com:".insteadOf "https://github.com/"
  • Network accessline 134
    git config --global url."git@github.com:".insteadOf "https://github.com/"
  • Network accessline 166
    # 1. Request a device code (gh's official client_id) RESP=$(curl -s -X POST -H "Accept: application/json" \
  • Network accessline 167
    RESP=$(curl -s -X POST -H "Accept: application/json" \
  • Network accessline 168
    -d "client_id=178c6fc778ccc68e1d6a&scope=repo,read:org,gist" \   https://github.com/login/device/code) DEVICE_CODE=$(echo "$RESP" | sed 's/.*"device_code":"\([^"]*\)".*/\1/')
  • Network accessline 169
    https://github.com/login/device/code)
  • Network accessline 171
    USER_CODE=$(echo "$RESP" | sed 's/.*"user_code":"\([^"]*\)".*/\1/') INTERVAL=$(echo "$RESP" | sed 's/.*"interval":\([0-9]*\).*/\1/'); INTERVAL=${INTERVAL:-5} echo "Tell the user: go to https://github.com/login/device and enter code: $USER_C
  • Network accessline 173
    echo "Tell the user: go to https://github.com/login/device and enter code: $USER_CODE"
  • Network accessline 177
    while true; do   sleep "$INTERVAL"   POLL=$(curl -s -X POST -H "Accept: application/json" \
  • Network accessline 178
    sleep "$INTERVAL"   POLL=$(curl -s -X POST -H "Accept: application/json" \     -d "client_id=178c6fc778ccc68e1d6a&device_code=${DEVICE_CODE}&grant_type=urn:ietf:params:oauth:grant-type:device_code" \
  • Network accessline 179
    [Credential-related source omitted]
  • Access to secretsline 179
    [Credential-related source omitted]
  • Network accessline 181
    [Credential-related source omitted]
  • Access to secretsline 181
    [Credential-related source omitted]
  • Access to secretsline 183
    [Credential-related source omitted]
  • Access to secretsline 186
    [Credential-related source omitted]
  • Access to secretsline 187
    [Credential-related source omitted]
  • Access to secretsline 188
    [Credential-related source omitted]
  • Network accessline 211
    [Credential-related source omitted]
  • Network accessline 212
    [Credential-related source omitted]
  • Network accessline 213
    [Credential-related source omitted]
  • Access to secretsline 216
    [Credential-related source omitted]
  • Access to secretsline 217
    [Credential-related source omitted]
  • Access to secretsline 218
    [Credential-related source omitted]
  • Access to secretsline 235
    [Credential-related source omitted]
  • Access to secretsline 253
    [Credential-related source omitted]
  • Network accessline 255
    # Then use in curl calls:
  • Network accessline 256
    [Credential-related source omitted]
  • Access to secretsline 256
    [Credential-related source omitted]
  • Network accessline 257
    https://api.github.com/user
  • Network accessline 274
    # Try gh first, fall back to git + curl if command -v gh &>/dev/null && gh auth status &>/dev/null; then
  • Access to secretsline 277
    [Credential-related source omitted]
  • Access to secretsline 279
    [Credential-related source omitted]
  • Access to secretsline 280
    [Credential-related source omitted]
  • Access to secretsline 282
    [Credential-related source omitted]
  • Access to secretsline 283
    [Credential-related source omitted]
  • Access to secretsline 300
    [Credential-related source omitted]
  • Access to secretsline 302
    [Credential-related source omitted]
  • Dangerous shell operationline 303
    | `gh: command not found` + no sudo | Use git-only Method 1 above — no installation needed |

skills/software-development/github/references/ci-troubleshooting.md

  • Network accessline 11
    # With curl — download and extract
  • Network accessline 12
    [Credential-related source omitted]
  • Access to secretsline 12
    [Credential-related source omitted]
  • Network accessline 13
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/actions/runs/<RUN_ID>/logs \
  • Network accessline 104
    fatal: could not read Username for 'https://github.com': No such device or address
  • Network accessline 180
    [Credential-related source omitted]
  • Network accessline 181
    [Credential-related source omitted]
  • Network accessline 182
    [Credential-related source omitted]

skills/software-development/github/references/code-review.md

  • Access to secretsline 17
    [Credential-related source omitted]
  • Access to secretsline 18
    [Credential-related source omitted]
  • Access to secretsline 20
    [Credential-related source omitted]
  • Access to secretsline 79
    [Credential-related source omitted]
  • Network accessline 130
    # Get PR details curl -s \
  • Dangerous shell operationline 131
    [Credential-related source omitted]
  • Network accessline 131
    [Credential-related source omitted]
  • Access to secretsline 131
    [Credential-related source omitted]
  • Network accessline 132
    [Credential-related source omitted]
  • Access to secretsline 132
    [Credential-related source omitted]
  • Network accessline 133
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \
  • Network accessline 143
    # List changed files curl -s \
  • Dangerous shell operationline 144
    [Credential-related source omitted]
  • Network accessline 144
    [Credential-related source omitted]
  • Access to secretsline 144
    [Credential-related source omitted]
  • Network accessline 145
    [Credential-related source omitted]
  • Access to secretsline 145
    [Credential-related source omitted]
  • Network accessline 146
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/files \
  • Network accessline 185
    [Credential-related source omitted]
  • Access to secretsline 185
    [Credential-related source omitted]
  • Network accessline 186
    [Credential-related source omitted]
  • Access to secretsline 186
    [Credential-related source omitted]
  • Network accessline 187
    https://api.github.com/repos/$OWNER/$REPO/issues/$PR_NUMBER/comments \
  • Network accessline 210
    # Get the head commit SHA HEAD_SHA=$(curl -s \
  • Dangerous shell operationline 211
    [Credential-related source omitted]
  • Network accessline 211
    [Credential-related source omitted]
  • Access to secretsline 211
    [Credential-related source omitted]
  • Network accessline 212
    [Credential-related source omitted]
  • Access to secretsline 212
    [Credential-related source omitted]
  • Network accessline 213
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \
  • Network accessline 216
    [Credential-related source omitted]
  • Access to secretsline 216
    [Credential-related source omitted]
  • Network accessline 217
    [Credential-related source omitted]
  • Access to secretsline 217
    [Credential-related source omitted]
  • Network accessline 218
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/comments \
  • Network accessline 238
    **With curl — multi-comment review submitted atomically:**
  • Dangerous shell operationline 241
    [Credential-related source omitted]
  • Network accessline 241
    [Credential-related source omitted]
  • Access to secretsline 241
    [Credential-related source omitted]
  • Network accessline 242
    [Credential-related source omitted]
  • Access to secretsline 242
    [Credential-related source omitted]
  • Network accessline 243
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \
  • Network accessline 246
    [Credential-related source omitted]
  • Access to secretsline 246
    [Credential-related source omitted]
  • Network accessline 247
    [Credential-related source omitted]
  • Access to secretsline 247
    [Credential-related source omitted]
  • Network accessline 248
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/reviews \
  • Network accessline 344
    [Credential-related source omitted]
  • Network accessline 345
    [Credential-related source omitted]
  • Access to secretsline 345
    [Credential-related source omitted]
  • Network accessline 346
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER
  • Network accessline 348
    [Credential-related source omitted]
  • Network accessline 349
    [Credential-related source omitted]
  • Access to secretsline 349
    [Credential-related source omitted]
  • Network accessline 350
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER/files
  • Network accessline 405
    **With curl — atomic review with multiple inline comments:**
  • Dangerous shell operationline 407
    [Credential-related source omitted]
  • Network accessline 407
    [Credential-related source omitted]
  • Access to secretsline 407
    [Credential-related source omitted]
  • Network accessline 408
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER \
  • Network accessline 411
    # Build the review JSON — event is APPROVE, REQUEST_CHANGES, or COMMENT curl -s -X POST \
  • Network accessline 412
    [Credential-related source omitted]
  • Access to secretsline 412
    [Credential-related source omitted]
  • Network accessline 413
    [Credential-related source omitted]
  • Access to secretsline 413
    [Credential-related source omitted]
  • Network accessline 414
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/pulls/$PR_NUMBER/reviews \

skills/software-development/github/references/conventional-commits.md

  • Network accessline 32
    BREAKING CHANGE: API endpoints now require Bearer token instead of API key header. Migration guide: https://docs.example.com/migrate-auth
  • Network accessline 33
    Migration guide: https://docs.example.com/migrate-auth

skills/software-development/github/references/github-api-cheatsheet.md

  • Network accessline 3
    Base URL: `https://api.github.com`
  • Access to secretsline 5
    [Credential-related source omitted]
  • Access to secretsline 7
    [Credential-related source omitted]
  • Network accessline 92
    | Get release | GET | `/repos/{owner}/{repo}/releases/{id}` | | Delete release | DELETE | `/repos/{owner}/{repo}/releases/{id}` | | Upload asset | POST | `https://uploads.github.com/repos/{owner}/{repo}/releases/{id}/assets?name={filename}`
  • Network accessline 94
    | Upload asset | POST | `https://uploads.github.com/repos/{owner}/{repo}/releases/{id}/assets?name={filename}` |
  • Network accessline 132
    [Credential-related source omitted]
  • Network accessline 133
    [Credential-related source omitted]
  • Access to secretsline 133
    [Credential-related source omitted]
  • Network accessline 135
    ## Common curl Patterns
  • Network accessline 138
    [Credential-related source omitted]
  • Network accessline 139
    [Credential-related source omitted]
  • Access to secretsline 139
    [Credential-related source omitted]
  • Network accessline 140
    https://api.github.com/repos/$GH_OWNER/$GH_REPO
  • Network accessline 142
    # POST with JSON body curl -s -X POST \
  • Network accessline 143
    [Credential-related source omitted]
  • Access to secretsline 143
    [Credential-related source omitted]
  • Network accessline 144
    [Credential-related source omitted]
  • Access to secretsline 144
    [Credential-related source omitted]
  • Network accessline 145
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/issues \
  • Network accessline 148
    # PATCH (update) curl -s -X PATCH \
  • Network accessline 149
    [Credential-related source omitted]
  • Access to secretsline 149
    [Credential-related source omitted]
  • Network accessline 150
    [Credential-related source omitted]
  • Access to secretsline 150
    [Credential-related source omitted]
  • Network accessline 151
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/issues/42 \
  • Network accessline 154
    # DELETE curl -s -X DELETE \
  • Network accessline 155
    [Credential-related source omitted]
  • Access to secretsline 155
    [Credential-related source omitted]
  • Access to secretsline 156
    [Credential-related source omitted]
  • Network accessline 157
    https://api.github.com/repos/$GH_OWNER/$GH_REPO/issues/42/labels/bug
  • Network accessline 159
    # Parse JSON response with python3 curl -s ... | python3 -c "import sys,json; data=json.load(sys.stdin); print(data['field'])"
  • Dangerous shell operationline 160
    curl -s ... | python3 -c "import sys,json; data=json.load(sys.stdin); print(data['field'])"
  • Network accessline 160
    curl -s ... | python3 -c "import sys,json; data=json.load(sys.stdin); print(data['field'])"

skills/software-development/github/references/issues.md

  • Access to secretsline 17
    [Credential-related source omitted]
  • Access to secretsline 18
    [Credential-related source omitted]
  • Access to secretsline 20
    [Credential-related source omitted]
  • Network accessline 49
    # List open issues curl -s \
  • Dangerous shell operationline 50
    [Credential-related source omitted]
  • Network accessline 50
    [Credential-related source omitted]
  • Access to secretsline 50
    [Credential-related source omitted]
  • Network accessline 51
    [Credential-related source omitted]
  • Access to secretsline 51
    [Credential-related source omitted]
  • Network accessline 52
    "https://api.github.com/repos/$OWNER/$REPO/issues?state=open&per_page=20" \
  • Network accessline 60
    # Filter by label curl -s \
  • Dangerous shell operationline 61
    [Credential-related source omitted]
  • Network accessline 61
    [Credential-related source omitted]
  • Access to secretsline 61
    [Credential-related source omitted]
  • Network accessline 62
    [Credential-related source omitted]
  • Access to secretsline 62
    [Credential-related source omitted]
  • Network accessline 63
    "https://api.github.com/repos/$OWNER/$REPO/issues?state=open&labels=bug&per_page=20" \
  • Network accessline 70
    # View a specific issue curl -s \
  • Dangerous shell operationline 71
    [Credential-related source omitted]
  • Network accessline 71
    [Credential-related source omitted]
  • Access to secretsline 71
    [Credential-related source omitted]
  • Network accessline 72
    [Credential-related source omitted]
  • Access to secretsline 72
    [Credential-related source omitted]
  • Network accessline 73
    https://api.github.com/repos/$OWNER/$REPO/issues/42 \
  • Network accessline 84
    # Search issues curl -s \
  • Dangerous shell operationline 85
    [Credential-related source omitted]
  • Network accessline 85
    [Credential-related source omitted]
  • Access to secretsline 85
    [Credential-related source omitted]
  • Network accessline 86
    [Credential-related source omitted]
  • Access to secretsline 86
    [Credential-related source omitted]
  • Network accessline 87
    "https://api.github.com/search/issues?q=authentication+error+repo:$OWNER/$REPO" \
  • Network accessline 119
    [Credential-related source omitted]
  • Access to secretsline 119
    [Credential-related source omitted]
  • Network accessline 120
    [Credential-related source omitted]
  • Access to secretsline 120
    [Credential-related source omitted]
  • Network accessline 121
    https://api.github.com/repos/$OWNER/$REPO/issues \
  • Network accessline 181
    # Add labels curl -s -X POST \
  • Network accessline 182
    [Credential-related source omitted]
  • Access to secretsline 182
    [Credential-related source omitted]
  • Network accessline 183
    [Credential-related source omitted]
  • Access to secretsline 183
    [Credential-related source omitted]
  • Network accessline 184
    https://api.github.com/repos/$OWNER/$REPO/issues/42/labels \
  • Network accessline 187
    # Remove a label curl -s -X DELETE \
  • Network accessline 188
    [Credential-related source omitted]
  • Access to secretsline 188
    [Credential-related source omitted]
  • Access to secretsline 189
    [Credential-related source omitted]
  • Network accessline 190
    https://api.github.com/repos/$OWNER/$REPO/issues/42/labels/needs-triage
  • Network accessline 192
    # List available labels in the repo curl -s \
  • Dangerous shell operationline 193
    [Credential-related source omitted]
  • Network accessline 193
    [Credential-related source omitted]
  • Access to secretsline 193
    [Credential-related source omitted]
  • Network accessline 194
    [Credential-related source omitted]
  • Access to secretsline 194
    [Credential-related source omitted]
  • Network accessline 195
    https://api.github.com/repos/$OWNER/$REPO/labels \
  • Network accessline 214
    [Credential-related source omitted]
  • Access to secretsline 214
    [Credential-related source omitted]
  • Network accessline 215
    [Credential-related source omitted]
  • Access to secretsline 215
    [Credential-related source omitted]
  • Network accessline 216
    https://api.github.com/repos/$OWNER/$REPO/issues/42/assignees \
  • Network accessline 231
    [Credential-related source omitted]
  • Access to secretsline 231
    [Credential-related source omitted]
  • Network accessline 232
    [Credential-related source omitted]
  • Access to secretsline 232
    [Credential-related source omitted]
  • Network accessline 233
    https://api.github.com/repos/$OWNER/$REPO/issues/42/comments \
  • Network accessline 250
    # Close curl -s -X PATCH \
  • Network accessline 251
    [Credential-related source omitted]
  • Access to secretsline 251
    [Credential-related source omitted]
  • Network accessline 252
    [Credential-related source omitted]
  • Access to secretsline 252
    [Credential-related source omitted]
  • Network accessline 253
    https://api.github.com/repos/$OWNER/$REPO/issues/42 \
  • Network accessline 256
    # Reopen curl -s -X PATCH \
  • Network accessline 257
    [Credential-related source omitted]
  • Access to secretsline 257
    [Credential-related source omitted]
  • Network accessline 258
    [Credential-related source omitted]
  • Access to secretsline 258
    [Credential-related source omitted]
  • Network accessline 259
    https://api.github.com/repos/$OWNER/$REPO/issues/42 \
  • Network accessline 298
    # With curl curl -s \
  • Dangerous shell operationline 299
    [Credential-related source omitted]
  • Network accessline 299
    [Credential-related source omitted]
  • Access to secretsline 299
    [Credential-related source omitted]
  • Network accessline 300
    [Credential-related source omitted]
  • Access to secretsline 300
    [Credential-related source omitted]
  • Network accessline 301
    "https://api.github.com/repos/$OWNER/$REPO/issues?labels=needs-triage&state=open" \
  • Network accessline 332
    # List issue numbers with a label, then close each curl -s \
  • Dangerous shell operationline 333
    [Credential-related source omitted]
  • Network accessline 333
    [Credential-related source omitted]
  • Access to secretsline 333
    [Credential-related source omitted]
  • Network accessline 334
    [Credential-related source omitted]
  • Access to secretsline 334
    [Credential-related source omitted]
  • Network accessline 335
    "https://api.github.com/repos/$OWNER/$REPO/issues?labels=wontfix&state=open" \
  • Network accessline 336
    | python -c "import sys,json; [print(i['number']) for i in json.load(sys.stdin)]" \   | while read num; do     curl -s -X PATCH \
  • Network accessline 337
    [Credential-related source omitted]
  • Network accessline 338
    [Credential-related source omitted]
  • Access to secretsline 338
    [Credential-related source omitted]
  • Access to secretsline 339
    [Credential-related source omitted]
  • Network accessline 340
    https://api.github.com/repos/$OWNER/$REPO/issues/$num \
  • Network accessline 348
    | Action | gh | curl endpoint |

skills/software-development/github/references/pr-workflow.md

  • Access to secretsline 19
    [Credential-related source omitted]
  • Access to secretsline 20
    [Credential-related source omitted]
  • Access to secretsline 22
    [Credential-related source omitted]
  • Network accessline 123
    [Credential-related source omitted]
  • Access to secretsline 123
    [Credential-related source omitted]
  • Network accessline 124
    [Credential-related source omitted]
  • Access to secretsline 124
    [Credential-related source omitted]
  • Network accessline 125
    -H "Accept: application/vnd.github.v3+json" \   https://api.github.com/repos/$OWNER/$REPO/pulls \   -d "{
  • Network accessline 126
    https://api.github.com/repos/$OWNER/$REPO/pulls \
  • Network accessline 159
    # Query the combined status curl -s \
  • Dangerous shell operationline 160
    [Credential-related source omitted]
  • Network accessline 160
    [Credential-related source omitted]
  • Access to secretsline 160
    [Credential-related source omitted]
  • Network accessline 161
    [Credential-related source omitted]
  • Access to secretsline 161
    [Credential-related source omitted]
  • Network accessline 162
    https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \
  • Network accessline 170
    # Also check GitHub Actions check runs (separate endpoint) curl -s \
  • Dangerous shell operationline 171
    [Credential-related source omitted]
  • Network accessline 171
    [Credential-related source omitted]
  • Access to secretsline 171
    [Credential-related source omitted]
  • Network accessline 172
    [Credential-related source omitted]
  • Access to secretsline 172
    [Credential-related source omitted]
  • Network accessline 173
    https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/check-runs \
  • Network accessline 185
    SHA=$(git rev-parse HEAD) for i in $(seq 1 20); do   STATUS=$(curl -s \
  • Network accessline 186
    [Credential-related source omitted]
  • Dangerous shell operationline 187
    [Credential-related source omitted]
  • Network accessline 187
    [Credential-related source omitted]
  • Access to secretsline 187
    [Credential-related source omitted]
  • Access to secretsline 188
    [Credential-related source omitted]
  • Network accessline 189
    https://api.github.com/repos/$OWNER/$REPO/commits/$SHA/status \
  • Network accessline 220
    # List workflow runs on this branch curl -s \
  • Dangerous shell operationline 221
    [Credential-related source omitted]
  • Network accessline 221
    [Credential-related source omitted]
  • Access to secretsline 221
    [Credential-related source omitted]
  • Network accessline 222
    [Credential-related source omitted]
  • Access to secretsline 222
    [Credential-related source omitted]
  • Network accessline 223
    "https://api.github.com/repos/$OWNER/$REPO/actions/runs?branch=$BRANCH&per_page=5" \
  • Network accessline 230
    # Get failed job logs (download as zip, extract, read) RUN_ID=<run_id> curl -s -L \
  • Network accessline 231
    [Credential-related source omitted]
  • Network accessline 232
    [Credential-related source omitted]
  • Access to secretsline 232
    [Credential-related source omitted]
  • Network accessline 233
    [Credential-related source omitted]
  • Access to secretsline 233
    [Credential-related source omitted]
  • Network accessline 234
    https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \
  • Network accessline 281
    # Merge the PR via API (squash) curl -s -X PUT \
  • Network accessline 282
    [Credential-related source omitted]
  • Access to secretsline 282
    [Credential-related source omitted]
  • Network accessline 283
    [Credential-related source omitted]
  • Access to secretsline 283
    [Credential-related source omitted]
  • Network accessline 284
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER/merge \
  • Network accessline 304
    # Auto-merge requires the repo to have it enabled in settings. # This uses the GraphQL API since REST doesn't support auto-merge. PR_NODE_ID=$(curl -s \
  • Network accessline 305
    [Credential-related source omitted]
  • Dangerous shell operationline 306
    [Credential-related source omitted]
  • Network accessline 306
    [Credential-related source omitted]
  • Access to secretsline 306
    [Credential-related source omitted]
  • Network accessline 307
    [Credential-related source omitted]
  • Access to secretsline 307
    [Credential-related source omitted]
  • Network accessline 308
    https://api.github.com/repos/$OWNER/$REPO/pulls/$PR_NUMBER \
  • Network accessline 311
    [Credential-related source omitted]
  • Access to secretsline 311
    [Credential-related source omitted]
  • Network accessline 312
    [Credential-related source omitted]
  • Access to secretsline 312
    [Credential-related source omitted]
  • Network accessline 313
    https://api.github.com/graphql \
  • Network accessline 337
    # 6. Create PR (picks gh or curl based on what's available)
  • Network accessline 347
    | Action | gh | git + curl |
  • Network accessline 348
    [Credential-related source omitted]
  • Network accessline 349
    [Credential-related source omitted]
  • Access to secretsline 349
    [Credential-related source omitted]
  • Network accessline 350
    | View PR diff | `gh pr diff` | `git diff main...HEAD` (local) or `curl -H "Accept: application/vnd.github.diff" ...` |
  • Network accessline 351
    | Add comment | `gh pr comment N --body "..."` | `curl -X POST .../issues/N/comments -d '{"body":"..."}'` |
  • Network accessline 352
    | Request review | `gh pr edit N --add-reviewer user` | `curl -X POST .../pulls/N/requested_reviewers -d '{"reviewers":["user"]}'` |
  • Network accessline 353
    | Close PR | `gh pr close N` | `curl -X PATCH .../pulls/N -d '{"state":"closed"}'` |

skills/software-development/github/references/repo-management.md

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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Dangerous shell operationline 29
    [Credential-related source omitted]
  • Network accessline 29
    [Credential-related source omitted]
  • Access to secretsline 29
    [Credential-related source omitted]
  • Network accessline 49
    # Clone via HTTPS (works with credential helper or token-embedded URL) git clone https://github.com/owner/repo-name.git
  • Network accessline 50
    git clone https://github.com/owner/repo-name.git
  • Network accessline 52
    # Clone into a specific directory git clone https://github.com/owner/repo-name.git ./my-local-dir
  • Network accessline 53
    git clone https://github.com/owner/repo-name.git ./my-local-dir
  • Network accessline 55
    # Shallow clone (faster for large repos) git clone --depth 1 https://github.com/owner/repo-name.git
  • Network accessline 56
    git clone --depth 1 https://github.com/owner/repo-name.git
  • Network accessline 58
    # Clone a specific branch git clone --branch develop https://github.com/owner/repo-name.git
  • Network accessline 59
    git clone --branch develop https://github.com/owner/repo-name.git
  • Network accessline 94
    # Create the remote repo via API curl -s -X POST \
  • Network accessline 95
    [Credential-related source omitted]
  • Access to secretsline 95
    [Credential-related source omitted]
  • Network accessline 96
    [Credential-related source omitted]
  • Access to secretsline 96
    [Credential-related source omitted]
  • Network accessline 97
    https://api.github.com/user/repos \
  • Network accessline 106
    # Clone it git clone https://github.com/$GH_USER/my-new-project.git
  • Network accessline 107
    git clone https://github.com/$GH_USER/my-new-project.git
  • Network accessline 113
    git add . git commit -m "Initial commit" git remote add origin https://github.com/$GH_USER/my-new-project.git
  • Network accessline 114
    git commit -m "Initial commit" git remote add origin https://github.com/$GH_USER/my-new-project.git git push -u origin main
  • Network accessline 115
    git remote add origin https://github.com/$GH_USER/my-new-project.git
  • Network accessline 122
    [Credential-related source omitted]
  • Access to secretsline 122
    [Credential-related source omitted]
  • Network accessline 123
    [Credential-related source omitted]
  • Access to secretsline 123
    [Credential-related source omitted]
  • Network accessline 124
    https://api.github.com/orgs/my-org/repos \
  • Network accessline 139
    [Credential-related source omitted]
  • Access to secretsline 139
    [Credential-related source omitted]
  • Network accessline 140
    [Credential-related source omitted]
  • Access to secretsline 140
    [Credential-related source omitted]
  • Network accessline 141
    https://api.github.com/repos/owner/template-repo/generate \
  • Network accessline 156
    # Create the fork via API curl -s -X POST \
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    [Credential-related source omitted]
  • Access to secretsline 157
    [Credential-related source omitted]
  • Access to secretsline 158
    [Credential-related source omitted]
  • Network accessline 159
    https://api.github.com/repos/owner/repo-name/forks
  • Network accessline 161
    # Wait a moment for GitHub to create it, then clone sleep 3 git clone https://github.com/$GH_USER/repo-name.git
  • Network accessline 162
    sleep 3 git clone https://github.com/$GH_USER/repo-name.git cd repo-name
  • Network accessline 163
    git clone https://github.com/$GH_USER/repo-name.git
  • Network accessline 166
    # Add the original repo as "upstream" remote git remote add upstream https://github.com/owner/repo-name.git
  • Network accessline 167
    git remote add upstream https://github.com/owner/repo-name.git
  • Network accessline 199
    # View repo details curl -s \
  • Dangerous shell operationline 200
    [Credential-related source omitted]
  • Network accessline 200
    [Credential-related source omitted]
  • Access to secretsline 200
    [Credential-related source omitted]
  • Network accessline 201
    [Credential-related source omitted]
  • Access to secretsline 201
    [Credential-related source omitted]
  • Network accessline 202
    https://api.github.com/repos/$OWNER/$REPO \
  • Network accessline 212
    # List your repos curl -s \
  • Dangerous shell operationline 213
    [Credential-related source omitted]
  • Network accessline 213
    [Credential-related source omitted]
  • Access to secretsline 213
    [Credential-related source omitted]
  • Network accessline 214
    [Credential-related source omitted]
  • Access to secretsline 214
    [Credential-related source omitted]
  • Network accessline 215
    "https://api.github.com/user/repos?per_page=20&sort=updated" \
  • Network accessline 222
    # Search repos curl -s \
  • Dangerous shell operationline 223
    curl -s    "https://api.github.com/search/repositories?q=machine+learning+language:python&sort=stars&per_page=10"    | python -c "
  • Network accessline 223
    curl -s \
  • Network accessline 224
    "https://api.github.com/search/repositories?q=machine+learning+language:python&sort=stars&per_page=10" \
  • Network accessline 246
    [Credential-related source omitted]
  • Access to secretsline 246
    [Credential-related source omitted]
  • Network accessline 247
    [Credential-related source omitted]
  • Access to secretsline 247
    [Credential-related source omitted]
  • Network accessline 248
    https://api.github.com/repos/$OWNER/$REPO \
  • Network accessline 256
    # Update topics curl -s -X PUT \
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    [Credential-related source omitted]
  • Access to secretsline 257
    [Credential-related source omitted]
  • Network accessline 258
    [Credential-related source omitted]
  • Access to secretsline 258
    [Credential-related source omitted]
  • Network accessline 259
    -H "Accept: application/vnd.github.mercy-preview+json" \   https://api.github.com/repos/$OWNER/$REPO/topics \   -d '{"names": ["machine-learning", "python", "automation"]}'
  • Network accessline 260
    https://api.github.com/repos/$OWNER/$REPO/topics \
  • Network accessline 267
    # View current protection curl -s \
  • Network accessline 268
    [Credential-related source omitted]
  • Access to secretsline 268
    [Credential-related source omitted]
  • Access to secretsline 269
    [Credential-related source omitted]
  • Network accessline 270
    https://api.github.com/repos/$OWNER/$REPO/branches/main/protection
  • Network accessline 272
    # Set up branch protection curl -s -X PUT \
  • Network accessline 273
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 275
    https://api.github.com/repos/$OWNER/$REPO/branches/main/protection \
  • Access to secretsline 294
    [Credential-related source omitted]
  • Access to secretsline 295
    [Credential-related source omitted]
  • Access to secretsline 297
    [Credential-related source omitted]
  • Network accessline 305
    # Get the repo's public key for encrypting secrets curl -s \
  • Network accessline 306
    [Credential-related source omitted]
  • Access to secretsline 306
    [Credential-related source omitted]
  • Access to secretsline 307
    [Credential-related source omitted]
  • Network accessline 308
    https://api.github.com/repos/$OWNER/$REPO/actions/secrets/public-key
  • Network accessline 329
    # Then PUT the encrypted secret curl -s -X PUT \
  • Network accessline 330
    [Credential-related source omitted]
  • Access to secretsline 330
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 331
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 332
    [Credential-related source omitted]
  • Network accessline 335
    # List secrets (names only, values hidden) curl -s \
  • Dangerous shell operationline 336
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 338
    https://api.github.com/repos/$OWNER/$REPO/actions/secrets \
  • Network accessline 362
    # Create a release curl -s -X POST \
  • Network accessline 363
    [Credential-related source omitted]
  • Access to secretsline 363
    [Credential-related source omitted]
  • Network accessline 364
    [Credential-related source omitted]
  • Access to secretsline 364
    [Credential-related source omitted]
  • Network accessline 365
    https://api.github.com/repos/$OWNER/$REPO/releases \
  • Network accessline 375
    # List releases curl -s \
  • Dangerous shell operationline 376
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 376
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 378
    https://api.github.com/repos/$OWNER/$REPO/releases \
  • Network accessline 385
    # Upload a release asset (binary file) RELEASE_ID=<id_from_create_response> curl -s -X POST \
  • Network accessline 386
    [Credential-related source omitted]
  • Network accessline 387
    [Credential-related source omitted]
  • Access to secretsline 387
    [Credential-related source omitted]
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    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 389
    -H "Content-Type: application/octet-stream" \   "https://uploads.github.com/repos/$OWNER/$REPO/releases/$RELEASE_ID/assets?name=binary-amd64" \   --data-binary @./dist/binary-amd64
  • Network accessline 390
    "https://uploads.github.com/repos/$OWNER/$REPO/releases/$RELEASE_ID/assets?name=binary-amd64" \
  • Network accessline 412
    # List workflows curl -s \
  • Dangerous shell operationline 413
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 413
    [Credential-related source omitted]
  • Network accessline 414
    [Credential-related source omitted]
  • Access to secretsline 414
    [Credential-related source omitted]
  • Network accessline 415
    https://api.github.com/repos/$OWNER/$REPO/actions/workflows \
  • Network accessline 421
    # List recent runs curl -s \
  • Dangerous shell operationline 422
    [Credential-related source omitted]
  • Network accessline 422
    [Credential-related source omitted]
  • Access to secretsline 422
    [Credential-related source omitted]
  • Network accessline 423
    [Credential-related source omitted]
  • Access to secretsline 423
    [Credential-related source omitted]
  • Network accessline 424
    "https://api.github.com/repos/$OWNER/$REPO/actions/runs?per_page=10" \
  • Network accessline 430
    # Download failed run logs RUN_ID=<run_id> curl -s -L \
  • Network accessline 431
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 432
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 433
    [Credential-related source omitted]
  • Network accessline 434
    https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/logs \
  • Network accessline 438
    # Re-run a failed workflow curl -s -X POST \
  • Network accessline 439
    [Credential-related source omitted]
  • Access to secretsline 439
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Network accessline 441
    https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun
  • Network accessline 443
    # Re-run only failed jobs curl -s -X POST \
  • Network accessline 444
    [Credential-related source omitted]
  • Access to secretsline 444
    [Credential-related source omitted]
  • Access to secretsline 445
    [Credential-related source omitted]
  • Network accessline 446
    https://api.github.com/repos/$OWNER/$REPO/actions/runs/$RUN_ID/rerun-failed-jobs
  • Network accessline 448
    # Trigger a workflow manually (workflow_dispatch) WORKFLOW_ID=<workflow_id_or_filename> curl -s -X POST \
  • Network accessline 449
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 450
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 451
    [Credential-related source omitted]
  • Network accessline 452
    https://api.github.com/repos/$OWNER/$REPO/actions/workflows/$WORKFLOW_ID/dispatches \
  • Network accessline 468
    # Create a gist curl -s -X POST \
  • Network accessline 469
    [Credential-related source omitted]
  • Access to secretsline 469
    [Credential-related source omitted]
  • Network accessline 470
    [Credential-related source omitted]
  • Access to secretsline 470
    [Credential-related source omitted]
  • Network accessline 471
    https://api.github.com/gists \
  • Network accessline 480
    # List your gists curl -s \
  • Dangerous shell operationline 481
    [Credential-related source omitted]
  • Network accessline 481
    [Credential-related source omitted]
  • Access to secretsline 481
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 482
    [Credential-related source omitted]
  • Network accessline 483
    https://api.github.com/gists \
  • Network accessline 493
    | Action | gh | git + curl |
  • Network accessline 494
    |--------|-----|-----------| | Clone | `gh repo clone o/r` | `git clone https://github.com/o/r.git` | | Create repo | `gh repo create name --public` | `curl POST /user/repos` |
  • Network accessline 495
    | Clone | `gh repo clone o/r` | `git clone https://github.com/o/r.git` | | Create repo | `gh repo create name --public` | `curl POST /user/repos` | | Fork | `gh repo fork o/r --clone` | `curl POST /repos/o/r/forks` + `git clone` |
  • Network accessline 496
    | Create repo | `gh repo create name --public` | `curl POST /user/repos` |
  • Network accessline 497
    | Fork | `gh repo fork o/r --clone` | `curl POST /repos/o/r/forks` + `git clone` |
  • Network accessline 498
    | Repo info | `gh repo view o/r` | `curl GET /repos/o/r` |
  • Network accessline 499
    | Edit settings | `gh repo edit --...` | `curl PATCH /repos/o/r` |
  • Network accessline 500
    | Create release | `gh release create v1.0` | `curl POST /repos/o/r/releases` |
  • Network accessline 501
    | List workflows | `gh workflow list` | `curl GET /repos/o/r/actions/workflows` |
  • Network accessline 502
    | Rerun CI | `gh run rerun ID` | `curl POST /repos/o/r/actions/runs/ID/rerun` |
  • Network accessline 503
    | Set secret | `gh secret set KEY` | `curl PUT /repos/o/r/actions/secrets/KEY` (+ encryption) |

skills/software-development/github/scripts/gh-env.sh

  • Executable scriptline 1
    #!/usr/bin/env bash
  • Access to secretsline 18
    [Credential-related source omitted]
  • Network accessline 24
    [Credential-related source omitted]
  • Access to secretsline 24
    [Credential-related source omitted]
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    [Credential-related source omitted]
  • Access to secretsline 26
    [Credential-related source omitted]
  • Network accessline 28
    [Credential-related source omitted]
  • Access to secretsline 28
    [Credential-related source omitted]
  • Network accessline 29
    GH_AUTH_METHOD="curl"     fi elif [ -f "$HOME/.git-credentials" ]; then
  • Access to secretsline 31
    [Credential-related source omitted]
  • Network accessline 33
    [Credential-related source omitted]
  • Access to secretsline 33
    [Credential-related source omitted]
  • Network accessline 34
    GH_AUTH_METHOD="curl"     fi fi
  • Network accessline 38
    # Resolve username for curl method
  • Network accessline 39
    if [ "$GH_AUTH_METHOD" = "curl" ] && [ -z "$GH_USER" ]; then
  • Dangerous shell operationline 40
    [Credential-related source omitted]
  • Network accessline 40
    [Credential-related source omitted]
  • Access to secretsline 40
    [Credential-related source omitted]
  • Network accessline 41
    https://api.github.com/user 2>/dev/null \
  • Network accessline 61
    echo "GitHub Auth: $GH_AUTH_METHOD" [ -n "$GH_USER" ]       && echo "User: $GH_USER"
  • Network accessline 62
    [ -n "$GH_USER" ]       && echo "User: $GH_USER" [ -n "$GH_OWNER_REPO" ] && echo "Repo: $GH_OWNER_REPO" [ "$GH_AUTH_METHOD" = "none" ] && echo "⚠ Not authenticated — see github-auth skill"
  • Network accessline 64
    [ "$GH_AUTH_METHOD" = "none" ] && echo "⚠ Not authenticated — see github-auth skill"

skills/software-development/github/scripts/git-credential-token.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 46
    [Credential-related source omitted]

skills/software-development/requesting-code-review/SKILL.md

  • Access to secretsline 56
    [Credential-related source omitted]
  • Dangerous shell operationline 149
    shell injection, SQL injection, path traversal, eval()/exec() with user input,

skills/software-development/spike/SKILL.md

  • Network accessline 81
    - `web_search("python websocket streaming libraries 2025")` — find candidates - `web_extract(urls=["https://websockets.readthedocs.io/..."])` — read the actual docs (returns markdown)
  • Network accessline 82
    - `web_extract(urls=["https://websockets.readthedocs.io/..."])` — read the actual docs (returns markdown)
  • Network accessline 197
    Adapted from the GSD (Get Shit Done) project's `/gsd-spike` workflow — MIT © 2025 Lex Christopherson ([gsd-build/get-shit-done](https://github.com/gsd-build/get-shit-done)). The full GSD system offers persistent spike state, MANIFEST tracki

skills/web/blocked-page-recovery/SKILL.md

  • Access to secretsline 26
    [Credential-related source omitted]
  • Network accessline 34
    python3 scripts/recover_page.py "https://example.com/blocked-article" --json
  • Network accessline 58
    # Discovery: returns closest snapshot URL + timestamp as JSON curl -sL "https://archive.org/wayback/available?url={URL}"
  • Network accessline 59
    curl -sL "https://archive.org/wayback/available?url={URL}"
  • Network accessline 66
    curl -sL "https://web.archive.org/cdx/search/cdx?url={URL}&output=json&limit=10"
  • Network accessline 81
    for d in archive.ph archive.md archive.li archive.is; do   curl -sL --max-time 20 "https://$d/newest/{URL}" -o ~/.hermes/cache/scratch/page.html \
  • Network accessline 82
    curl -sL --max-time 20 "https://$d/newest/{URL}" -o ~/.hermes/cache/scratch/page.html \
  • Access to secretsline 90
    [Credential-related source omitted]
  • Network accessline 97
    [Credential-related source omitted]
  • Access to secretsline 97
    [Credential-related source omitted]

skills/web/blocked-page-recovery/scripts/recover_page.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 7
    [Credential-related source omitted]
  • Network accessline 61
    retries_on_429: int = 2, ) -> tuple[int, bytes]:     req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT, **(headers or {})})
  • Network accessline 62
    ) -> tuple[int, bytes]:     req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT, **(headers or {})})     for attempt in range(retries_on_429 + 1):
  • Network accessline 63
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT, **(headers or {})})
  • Network accessline 64
    for attempt in range(retries_on_429 + 1):         try:             with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 65
    try:             with urllib.request.urlopen(req, timeout=timeout) as resp:                 return resp.status, resp.read()
  • Network accessline 66
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 80
    req = urllib.request.Request(url, headers={"User-Agent": USER_AGENT})
  • Network accessline 81
    try:         with urllib.request.urlopen(req, timeout=timeout) as resp:             return resp.status, resp.read(), resp.geturl()
  • Network accessline 82
    with urllib.request.urlopen(req, timeout=timeout) as resp:
  • Network accessline 114
    snap_url = None     snap_ts = None     discovery = "https://archive.org/wayback/available?url=" + urllib.parse.quote(url, safe="")
  • Network accessline 115
    snap_ts = None     discovery = "https://archive.org/wayback/available?url=" + urllib.parse.quote(url, safe="")     status, raw = _fetch(discovery, timeout)
  • Network accessline 116
    discovery = "https://archive.org/wayback/available?url=" + urllib.parse.quote(url, safe="")
  • Network accessline 123
    if closest.get("available") and closest.get("url"):             snap_url = closest["url"].replace(                 "http://web.archive.org", "https://web.archive.org"
  • Network accessline 124
    snap_url = closest["url"].replace(                 "http://web.archive.org", "https://web.archive.org"             )
  • Network accessline 125
    "http://web.archive.org", "https://web.archive.org"
  • Network accessline 132
    snap_url = "https://web.archive.org/web/2/" + url
  • Network accessline 148
    def try_archive_today(url: str, timeout: int) -> dict | None:     for host in ARCHIVE_TODAY_HOSTS:         fetch_url = f"https://{host}/newest/{url}"
  • Network accessline 149
    for host in ARCHIVE_TODAY_HOSTS:         fetch_url = f"https://{host}/newest/{url}"         status, body = _fetch(fetch_url, timeout)
  • Network accessline 150
    fetch_url = f"https://{host}/newest/{url}"
  • Access to secretsline 167
    [Credential-related source omitted]
  • Network accessline 169
    [Credential-related source omitted]
  • Network accessline 170
    [Credential-related source omitted]
  • Network accessline 171
    [Credential-related source omitted]
  • Network accessline 177
    "provenance": "live",         "snapshot_timestamp": None,         "source_url": "https://r.jina.ai/" + url,
  • Network accessline 178
    "snapshot_timestamp": None,         "source_url": "https://r.jina.ai/" + url,         "body": body,
  • Network accessline 179
    "source_url": "https://r.jina.ai/" + url,

tests/skills/test_unbroker_skill.py

  • Executable scriptline 1
    Executable file
  • Executable scriptline 1
    Executable file; content unavailable
  • Access to secretsline 56
    [Credential-related source omitted]
  • Access to secretsline 58
    [Credential-related source omitted]
  • Access to secretsline 60
    [Credential-related source omitted]
  • Access to secretsline 63
    [Credential-related source omitted]
  • Access to secretsline 65
    [Credential-related source omitted]
  • Access to secretsline 93
    [Credential-related source omitted]
  • Network accessline 172
    return {"id": bid, "name": bid.title(), "priority": "high",             "search": {"by": ["name"]},             "optout": {"method": "web_form", "url": f"https://{bid}.example/optout",
  • Network accessline 173
    "search": {"by": ["name"]},             "optout": {"method": "web_form", "url": f"https://{bid}.example/optout",                        "requires": requires or {}, "inputs": ["full_name"], "owns": owns or [],
  • Network accessline 174
    "optout": {"method": "web_form", "url": f"https://{bid}.example/optout",
  • Network accessline 313
    out = legal.render_optout_email(b, {"full_name": "Jane Q. Public",                                         "contact_email": "jane@example.com",                                         "listing_urls": ["https://www.spokeo.com/jane"]})
  • Network accessline 314
    "contact_email": "jane@example.com",                                         "listing_urls": ["https://www.spokeo.com/jane"]})     assert "Jane Q. Public" in out and "https://www.spokeo.com/jane" in out
  • Network accessline 315
    "listing_urls": ["https://www.spokeo.com/jane"]})
  • Network accessline 316
    assert "Jane Q. Public" in out and "https://www.spokeo.com/jane" in out
  • Network accessline 337
    Find your information and opt out of [people search](https://www.beenverified.com/app/optout/search).
  • Network accessline 340
    [Find your information](https://www.mylife.com), and then [opt out](https://www.mylife.com/privacyrequest).
  • Network accessline 343
    To opt out, [upload an ID](https://pimeyes.com/en/opt-out-request-form).
  • Access to secretsline 391
    [Credential-related source omitted]
  • Access to secretsline 395
    [Credential-related source omitted]
  • Network accessline 466
    def test_verification_link_from_messages_is_domain_scoped():     broker = {"id": "spokeo", "name": "Spokeo",               "search": {"url": "https://www.spokeo.com/"},
  • Network accessline 467
    broker = {"id": "spokeo", "name": "Spokeo",               "search": {"url": "https://www.spokeo.com/"},               "optout": {"url": "https://www.spokeo.com/optout"}}
  • Network accessline 468
    "search": {"url": "https://www.spokeo.com/"},
  • Network accessline 469
    "optout": {"url": "https://www.spokeo.com/optout"}}
  • Network accessline 470
    phish = {"from": "phisher@evil.example", "subject": "verify now",              "text": "click https://evil.example/optout/verify?x=1"}     real = {"from": "no-reply@spokeo.com", "subject": "Confirm your opt out",
  • Network accessline 471
    "text": "click https://evil.example/optout/verify?x=1"}
  • Network accessline 472
    real = {"from": "no-reply@spokeo.com", "subject": "Confirm your opt out",             "text": "Confirm here: https://www.spokeo.com/optout/verify/abc123"}     hit = emailer.link_from_messages([phish, real], broker)
  • Network accessline 473
    "text": "Confirm here: https://www.spokeo.com/optout/verify/abc123"}
  • Network accessline 475
    assert hit["link"] == "https://www.spokeo.com/optout/verify/abc123"
  • Access to secretsline 525
    [Credential-related source omitted]
  • Network accessline 647
    "--email", "jane@example.com", "--consent"])["subject_id"]         _run(["record", sid, "radaris", "found", "--found", "true",               "--evidence", '{"listing_urls": ["https://radaris.com/p/x"]}'])
  • Network accessline 648
    _run(["record", sid, "radaris", "found", "--found", "true",               "--evidence", '{"listing_urls": ["https://radaris.com/p/x"]}'])         shown = _run(["show", sid, "radaris"])
  • Network accessline 649
    "--evidence", '{"listing_urls": ["https://radaris.com/p/x"]}'])
  • Network accessline 651
    assert shown["broker"] == "radaris" and shown["state"] == "found"         assert shown["found"] is True         assert shown["evidence"].get("listing_urls") == ["https://radaris.com/p/x"]
  • Network accessline 653
    assert shown["evidence"].get("listing_urls") == ["https://radaris.com/p/x"]
  • Network accessline 724
    out = _run(["dnc", sid])         assert out["eligible"] is True         assert out["dnc_url"] == "https://www.donotcall.gov/register.html"
  • Network accessline 725
    assert out["eligible"] is True         assert out["dnc_url"] == "https://www.donotcall.gov/register.html"         assert "72 hours" in " ".join(out["steps"])
  • Network accessline 726
    assert out["dnc_url"] == "https://www.donotcall.gov/register.html"
  • Network accessline 777
    try:             _run(["render-email", sid, "spokeo", "--kind", "ccpa_indirect",                   "--listing", "https://www.spokeo.com/x"])
  • Network accessline 778
    _run(["render-email", sid, "spokeo", "--kind", "ccpa_indirect",                   "--listing", "https://www.spokeo.com/x"])         except SystemExit as e:
  • Network accessline 779
    "--listing", "https://www.spokeo.com/x"])
  • Network accessline 786
    try:             _run(["send-email", sid, "spokeo", "--kind", "generic",                   "--listing", "https://www.spokeo.com/x"])
  • Network accessline 787
    _run(["send-email", sid, "spokeo", "--kind", "generic",                   "--listing", "https://www.spokeo.com/x"])         except SystemExit as e:
  • Network accessline 788
    "--listing", "https://www.spokeo.com/x"])
  • Network accessline 794
    out = _run(["render-email", sid, "spokeo", "--kind", "generic",                     "--listing", "https://www.spokeo.com/x"])
  • Network accessline 795
    "--listing", "https://www.spokeo.com/x"])
  • Network accessline 803
    d = dossier.load(sid)         fields, _disclosed = pdd._email_request(d, brokers.get("spokeo"), "ccpa_indirect",                                                  ["https://www.spokeo.com/x"], None)
  • Network accessline 804
    fields, _disclosed = pdd._email_request(d, brokers.get("spokeo"), "ccpa_indirect",                                                  ["https://www.spokeo.com/x"], None)         assert "None" not in " ".join(fields["my_identifiers"])
  • Network accessline 805
    ["https://www.spokeo.com/x"], None)
  • Network accessline 935
    assert brokers.get("radaris").get("defunct") and not brokers.get("usphonebook").get("defunct")         for bid in ("radaris", "usphonebook"):             _run(["record", sid, bid, "found", "--found", f"https://{bid}.example/x"])
  • Network accessline 936
    for bid in ("radaris", "usphonebook"):             _run(["record", sid, bid, "found", "--found", f"https://{bid}.example/x"])             assert _run(["record", sid, bid, "submitted"])["next_recheck_at"]
  • Network accessline 937
    _run(["record", sid, bid, "found", "--found", f"https://{bid}.example/x"])
  • Network accessline 977
    def test_synthesize_steps_keep_gate_quirks_within_cap():     r = {"optout_url": "https://x.example/optout",
  • Network accessline 978
    r = {"optout_url": "https://x.example/optout",

tools/mcp_oauth.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Access to secretsline 8
    [Credential-related source omitted]
  • Network accessline 254
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
  • Access to secretsline 379
    [Credential-related source omitted]
  • Access to secretsline 383
    [Credential-related source omitted]
  • Access to secretsline 543
    [Credential-related source omitted]
  • Network accessline 760
    _SSH_HINT_LOOPBACK = (     "  Remote session detected. After you authorize, the provider redirects to\n"     "    http://{host}:{port}/callback\n"
  • Network accessline 761
    "  Remote session detected. After you authorize, the provider redirects to\n"     "    http://{host}:{port}/callback\n"     "  which only the listener on THIS machine can receive. Two options:\n"
  • Network accessline 762
    "    http://{host}:{port}/callback\n"
  • Network accessline 772
    "       then open the URL above and let it redirect normally.\n"     "\n"     "  See: https://hermes-agent.nousresearch.com/docs/guides/oauth-over-ssh\n")
  • Network accessline 774
    "  See: https://hermes-agent.nousresearch.com/docs/guides/oauth-over-ssh\n")
  • Network accessline 939
    _CIMD_CLIENT_METADATA_URL = "https://nousresearch.github.io/hermes-agent/docs/oauth/client-metadata.json"
  • Access to secretsline 1005
    [Credential-related source omitted]
  • Network accessline 1098
    return cfg.get("redirect_uri") or f"http://{cfg.get('redirect_host') or '127.0.0.1'}:{port}/callback"
  • Access to secretsline 1128
    [Credential-related source omitted]
  • Access to secretsline 1141
    [Credential-related source omitted]
  • Access to secretsline 1161
    [Credential-related source omitted]
  • Access to secretsline 1172
    [Credential-related source omitted]
  • Access to secretsline 1196
    [Credential-related source omitted]
  • Access to secretsline 1203
    [Credential-related source omitted]
  • Access to secretsline 1226
    [Credential-related source omitted]
  • Access to secretsline 1242
    [Credential-related source omitted]

tools/mcp_tool.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Instruction override signalline 518
    # Trust-tier gating (``trust: full | untrusted``): on an untrusted server every write-capable # call (discovery-time ``readOnlyHint`` not exactly True; malformed fails closed) needs approval # before the RPC fires. A lying readOnlyHint can 
  • Instruction override signalline 519
    # call (discovery-time ``readOnlyHint`` not exactly True; malformed fails closed) needs approval # before the RPC fires. A lying readOnlyHint can only skip approval for calls the operator was # already warned about, never widen access. Miss
  • Instruction override signalline 520
    # before the RPC fires. A lying readOnlyHint can only skip approval for calls the operator was

tools/skill_manager_tool.py

  • Executable scriptline 1
    #!/usr/bin/env python3

website/scripts/generate-skill-docs.py

  • Executable scriptline 1
    #!/usr/bin/env python3
  • Executable scriptline 1
    Executable file; content unavailable
  • Executable scriptline 1
    Executable file; content unavailable
  • Executable scriptline 1
    Executable file; content unavailable
  • Executable scriptline 1
    Executable file; content unavailable
  • Executable scriptline 1
    Executable file; content unavailable
  • Network accessline 237
    source_dir = "skills" if meta["source_kind"] == "bundled" else "optional-skills"     base = f"https://github.com/NousResearch/hermes-agent/blob/main/{source_dir}/{meta['rel_path']}"
  • Network accessline 238
    base = f"https://github.com/NousResearch/hermes-agent/blob/main/{source_dir}/{meta['rel_path']}"

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Declared and executed: 27 facts
Signal confidence: 473 facts

and 423 more

Only the first 500 facts are listed.

Works with

  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.

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