Individual skill
Gauntlet
Evidence-driven adversarial review and root-cause repair of code, designs, APIs, infrastructure, tests, and agent workflows. Use for deep reviews, red-team reviews, edge-case audits, production-readiness checks, or requests to find and fix defects iteratively. Supports sub-agents or a tracked solo workflow. Not for ordinary implementation or cosmetic edits unless explicitly invoked.
skills/gauntlet/SKILL.md
Source commit fc97377adefd53e861c1d456aa1392e4a4e022a2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.
Repository context
- Repository stars (not skill ratings)
- 62
- Repository last updated
- Nov 8, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- claude-code Repository topic
- codex Repository topic
- cursor Repository topic
- npx-skills Repository topic
- openclaw Repository topic
- ai-tools Repository topic
- mcp Repository topic
- awesome-list Repository topic
- operations Derived category
- devops Derived category
Files and excerpt
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Browse files
LICENSEasset · 1,063 bytesSKILL.mdcore · 10,722 bytesSKILL.mdcore · 10,722 bytesSKILL.mdcore · 10,722 bytesreferences/ai-agents.mddoc · 3,075 bytesreferences/closure.mddoc · 3,977 bytesreferences/correctness-api.mddoc · 2,625 bytesreferences/frontend-accessibility.mddoc · 1,905 bytesreferences/orchestration.mddoc · 3,961 bytesreferences/performance-operations.mddoc · 2,569 bytesreferences/reliability-data.mddoc · 3,156 bytesreferences/root-cause.mddoc · 3,630 bytesreferences/security-privacy.mddoc · 3,014 bytesreferences/sources.mddoc · 4,123 bytesreferences/specifications-research.mddoc · 2,385 bytesreferences/tracker.mddoc · 8,682 bytesreferences/triage.mddoc · 4,824 bytesreferences/verification.mddoc · 4,278 bytesscripts/gauntlet.pyruns · 35,621 bytestemplates/delegation.mddoc · 1,024 bytestemplates/final-report.mddoc · 1,032 bytestemplates/finding.mddoc · 869 bytestemplates/run.mddoc · 1,473 bytes
Read excerpt
# Gauntlet
Make the work withstand attempts to falsify its requirements, invariants, and safety claims. Produce evidence, not a quota of criticisms. Repair underlying mechanisms when authorized; never claim that all possible defects are absent.
Gauntlet guides deep code reviews, edge-case audits, and bounded root-cause repair across code, APIs, infrastructure, specifications, and agent workflows. It starts by recording the target revision, authority, baseline failures, selected review lenses, and a finite round budget. Reviewers try to falsify requirements and invariants, substantiate findings with executable counterexamples or precise source traces, and inspect sibling callers before proposing a repair. Review-only requests remain read-only; authorized repair requests require regression evidence and a fresh re-attack against the changed snapshot. The workflow supports independent sub-agents or explicitly labeled solo passes. Its optional Python 3.10+ SQLite tracker uses only the standard library to record tasks, findings, checks, and closure gates; it neither executes project code nor authenticates evidence. Host task tools and Markdown templates provide alternatives when the helper is unavailable.
## Installation
Install or set up from the source-backed instructions:
npx skills add aakashH242/gauntlet --skill gauntlet
- Source: https://github.com/aakashH242/gauntlet