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anycap-ai/anycap
The capability harness for AI agents. Skills over SDKs.
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git clone --filter=blob:none --no-checkout https://github.com/anycap-ai/anycap.git .hotskills/anycap-ai-anycap && git -C .hotskills/anycap-ai-anycap checkout --detach a7ff827a4fef902c1874163c4ebb36edad6b9932
# Copy each selected skill directory from .hotskills/anycap-ai-anycap into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/anycap-ai/anycap.git .hotskills/anycap-ai-anycap && git -C .hotskills/anycap-ai-anycap checkout --detach a7ff827a4fef902c1874163c4ebb36edad6b9932
# Copy each selected skill directory from .hotskills/anycap-ai-anycap into .agents/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/anycap-ai/anycap.git .hotskills/anycap-ai-anycap && git -C .hotskills/anycap-ai-anycap checkout --detach a7ff827a4fef902c1874163c4ebb36edad6b9932
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Individual skills in this repository
- anycap-ai-tool-seo
skills/anycap-ai-tool-seo - anycap-blog-production
skills/anycap-blog-production - anycap-cli
skills/anycap-cli - anycap-deepresearch
skills/anycap-deepresearch - anycap-gemini-omni-video-edit
skills/anycap-gemini-omni-video-edit - anycap-human-interaction
skills/anycap-human-interaction - anycap-media-production
skills/anycap-media-production - anycap-social-meme-workflows
skills/anycap-social-meme-workflows - anycap-worldcup-predict
skills/anycap-worldcup-predict
How it works
anycap-ai-tool-seo
When your agent uses it
Audit and plan organic search for AI tool, SaaS, and product-led websites. Use for Search Console diagnosis, existing-page optimization, search intent and page ownership, technical indexing, content briefs, international SEO, citations, or programmatic SEO. Start with measured visibility and existing URLs before recommending new pages.
What it loads into context
Frontmatter
129 tokensAlways available to the agent
SKILL.md
1,193 tokensWhen the skill is activated
Reference documents
2,048 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- Optional AnyCap commands
- Evidence and privacy
- Resources
Files
../../.claude-plugin/marketplace.jsonasset326 bytes../../.claude-plugin/plugin.jsonasset278 bytesSKILL.mdcore5,955 bytesSKILL.mdcore5,955 bytesSKILL.mdcore5,955 bytesSKILL.mdcore5,955 bytesagents/openai.yamlasset281 bytesreferences/framework.mddoc3,602 bytesreferences/guardrails.mddoc3,984 bytesreferences/page-planning.mddoc2,818 bytes
Read SKILL.md
# AnyCap AI Tool SEO
Audit search visibility and decide what to fix, improve, consolidate, or publish next. A technically valid page is only eligible for indexing; it is not guaranteed to be crawled, indexed, or ranked.
Read [framework.md](references/framework.md), [page-planning.md](references/page-planning.md), and [guardrails.md](references/guardrails.md) before recommending site-wide changes. Use the current site and first-party evidence as the source of truth for its status.
## Workflow
### 1. Establish the baseline
- Identify the site, searcher, target market, conversion path, current URL inventory, and recently changed or retired URLs. Infer missing context from the site when possible.
- In Google Search Console (GSC), compare complete date ranges and page/query cohorts. Separate branded from non-branded searches and current URLs from retired URLs. Record impressions, clicks, index coverage, and the last complete data date. Do not infer that a past algorithmic visibility loss has ended solely because manual actions and security issues are clear.
- Use Ahrefs or similar tools for competitor discovery and keyword estimates; use GSC for the site's observed Google Search performance. Label estimates and time windows.
- If GSC is unavailable, say which conclusions remain unverified and continue with public crawling and site evidence.View the complete source on GitHubanycap-blog-production
When your agent uses it
Turn user-provided data, notes, research, product facts, or structured inputs into AnyCap-style blog posts and then enrich those posts with first-party evidence blocks when needed. Use when a user wants a blog, article, tutorial, learn page, or SEO content draft written in the tone of the AnyCap website. Best fit when the input is data-first rather than prose-first: spreadsheets, JSON, bullets, notes, source URLs, benchmarks, product facts, or rough research. Trigger on: write blog from data, turn notes into article, blog drafting, article production, learn page drafting, SEO article in AnyCap tone, or requests to convert structured inputs into publish-ready content.
What it loads into context
Frontmatter
210 tokensAlways available to the agent
SKILL.md
2,249 tokensWhen the skill is activated
Reference documents
1,714 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Best Fit
- Before You Start
- Workflow
- Output Expectations
- Guardrails
- Quick Reference
Files
SKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesSKILL.mdcore10,409 bytesagents/openai.yamlasset241 bytesreferences/input-brief.mddoc1,283 bytesreferences/patterns.mddoc4,485 bytesreferences/voice.mddoc2,027 bytes
Read SKILL.md
# AnyCap Blog Production
> **Read this entire file before starting.** This skill is for turning user-fed data into AnyCap-style articles, then adding evidence where the article needs proof.
Use this skill when the user provides facts, notes, examples, benchmarks, product capabilities, or other raw inputs and wants a finished blog post that sounds like the AnyCap website. The core job is:
1. normalize the input data into a working brief
2. draft a page in AnyCap's website tone
3. decide whether the article needs first-party evidence blocks
4. add AnyCap-generated visuals only when they materially improve the page
This skill is about **blog production workflow**. For raw CLI syntax, authentication, and command behavior, read the `anycap-cli` skill. For broader search-intent planning, read the `anycap-ai-tool-seo` skill.
Read these reference files before drafting:View the complete source on GitHubanycap-cli
When your agent uses it
AnyCap CLI -- create media humans can see and hear (generate images, video, music, and audio), understand media humans share (analyze images, video, audio), access the web (search, crawl), and deliver results humans can use (Drive for shareable file links, Page for hosted web pages). Use whenever a task involves creating visual or audio content, analyzing media, searching or reading the web, sharing files with humans, or publishing anything as a web page -- even if the user doesn't mention AnyCap by name. Also use for AnyCap authentication (login, API key, credentials), configuration, and feedback. Trigger on: image/video/music/audio generation, media analysis, web search, web crawl, file sharing, page hosting, drive storage, delivering results to users, or any mention of AnyCap.
What it loads into context
Frontmatter
220 tokensAlways available to the agent
SKILL.md
8,304 tokensWhen the skill is activated
Reference documents
28,520 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Install
- Troubleshooting: `anycap` not found after install
- Authentication
- Configuration
- Local stdio MCP
- Agent Daemon (Feishu Chat)
- Legacy / Debug Only
- Capabilities
- Delivering Results to Humans
- Feedback
- Output Format
- Persist to Project Memory
- Keeping Up to Date
Files
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Read SKILL.md
# AnyCap CLI
> **Read this entire file before starting.** It covers install, auth, capabilities, and output conventions. Load reference files from `references/` as needed for specific commands.
One CLI. Any capability.
AnyCap lets you create media humans can see and hear, understand media humans share with you, access the web for information, and deliver results through shareable links and hosted pages. One CLI, one auth, structured JSON I/O.
Use AnyCap when a task involves:
- **Creating** visual or audio content for humans (images, video, music, speech, and complete audio scenes)
- **Understanding** media humans share (analyze images, video, audio)
- **Finding** information on the web (search, crawl pages)
- **Delivering** results humans can access and share (Drive links, hosted pages)View the complete source on GitHubanycap-deepresearch
When your agent uses it
Guide for conducting thorough, multi-source research and producing comprehensive, well-sourced reports. Powered by AnyCap -- the capability runtime that equips AI agents with web search (including AI Grounded citations), web crawl, image generation, cloud storage, and one-click web publishing through a single CLI. Use when the user asks for deep research, competitive analysis, market research, technical deep dive, literature review, technology comparison, or any task requiring multi-source information gathering and synthesis. Also use when users say "investigate", "survey the landscape", "compare X vs Y", "state of the art", "write a report on", "look into", "find out about", "analyze the market", or any inquiry that needs more than a single search. Trigger on mentions of research, analysis, investigation, comparison, report, survey, or deep dive.
What it loads into context
Frontmatter
227 tokensAlways available to the agent
SKILL.md
1,490 tokensWhen the skill is activated
Reference documents
6,352 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Before You Start
- Prerequisites
- When to Use This Skill
- Research Process
- Human-in-the-Loop
- Core Principles
- Quick Reference
Files
SKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesSKILL.mdcore6,899 bytesreferences/01-plan.mddoc4,773 bytesreferences/02-gather.mddoc6,558 bytesreferences/03-analyze.mddoc4,576 bytesreferences/04-synthesize.mddoc7,866 bytesreferences/05-deliver.mddoc4,920 bytes
Read SKILL.md
# AnyCap Deep Research
> **Read this entire file before starting.** It defines the multi-source research workflow from planning through synthesis.
Conduct thorough, multi-source research on any topic. Gather information broadly, verify claims rigorously, and synthesize findings into a polished, well-sourced report.
**Think deeply. Search broadly. Verify everything. Deliver clearly.**
## Before You Start
**Read all five reference files before taking any action.** Understanding the full process prevents wasted effort and ensures thorough research.
1. Read this file (SKILL.md) for the overview and principles
2. Read each reference in order:View the complete source on GitHubanycap-gemini-omni-video-edit
When your agent uses it
Use Gemini Omni Flash Preview through AnyCap for practical short-video editing workflows. Trigger when a user wants to edit or refine an existing video with natural-language instructions, especially product replacement, object removal or replacement, relighting, restyling, preserving a person/scene while changing one element, or using reference images with a source video. Covers model/schema discovery, prompt construction, AnyCap CLI command patterns, scenario-specific templates, video QA, and retry strategy for `gemini-omni-flash-preview` / `edit-video`.
What it loads into context
Frontmatter
148 tokensAlways available to the agent
SKILL.md
1,339 tokensWhen the skill is activated
Reference documents
1,830 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Evidence To Verify
- Fit Check
- Workflow
- Command Pattern
- Prompt Formula
- Practical Defaults
- Output Expectations
Files
SKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesSKILL.mdcore6,072 bytesagents/openai.yamlasset240 bytesreferences/qa.mddoc3,417 bytesreferences/scenarios.mddoc4,818 bytes
Read SKILL.md
# AnyCap Gemini Omni Video Edit
Use this skill to edit short videos with `gemini-omni-flash-preview` via AnyCap. It is optimized for practical one-shot video edits where a source video should stay mostly unchanged and one element should change.
For CLI syntax, authentication, model discovery conventions, and delivery options, read the `anycap-cli` skill when needed.
## Evidence To Verify
Gemini Omni Flash Preview is a preview model, so verify the live surface before running:
```bash
anycap status
anycap video models gemini-omni-flash-preview
anycap video models gemini-omni-flash-preview schema --operation generate --mode edit-videoView the complete source on GitHubanycap-human-interaction
When your agent uses it
Collect structured visual feedback from humans using AnyCap's annotation tool, or create and iterate on diagrams using the interactive whiteboard (Excalidraw). Covers image annotation, URL/web page review with screen recording, video review, audio feedback, and collaborative diagramming with Mermaid input. Use when you need a human to point at things, mark regions, draw on screenshots, review a web page or UI, narrate feedback over a recording, provide any spatially-grounded visual input, create or iterate on architecture diagrams, flowcharts, or wireframes. Also use when you need to present work-in-progress to a human for approval or revision. Trigger on: get feedback, show to user, review UI, annotate, mark up, visual feedback, screen recording, user review, human-in-the-loop, approval flow, interactive review, whiteboard, diagram, draw, flowchart, wireframe, or architecture chart.
What it loads into context
Frontmatter
241 tokensAlways available to the agent
SKILL.md
4,253 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Prerequisites
- Two Core Scenarios
- Command Quick Reference
- When to Use Annotation
- Interaction Pattern
- Scenario 1: URL / Web Page Review
- Scenario 2: Image Collaborative Review
- Other Media Types
- Iterative Review Loop
- Choosing the Right Scenario
Files
SKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytesSKILL.mdcore18,855 bytes
Read SKILL.md
# AnyCap Human Interaction
> **Read this entire file before starting.** Skipping sections leads to incorrect workflows -- each media type has different capabilities and constraints.
Workflow guide for collecting structured visual feedback from humans using AnyCap's annotation tool. This skill teaches you **when and how** to involve humans in your workflow through visual annotation and screen recording.
For CLI command reference, read the `anycap-cli` skill. For media generation workflows, read the `anycap-media-production` skill.
## Prerequisites
AnyCap CLI must be installed and authenticated. Read the `anycap-cli` skill if setup is needed.
## Two Core Scenarios
View the complete source on GitHubanycap-media-production
When your agent uses it
Produce media assets using AnyCap: generate images, videos, music, speech, dialogue, and complete audio scenes from text or reference inputs, refine images through interactive visual annotation, and deliver finished assets. Covers the full production workflow from concept to delivery across all media types (image, video, music, audio). Use when creating images, videos, music, voice content, dialogue, complete audio scenes, or any visual/audio content -- including iterative refinement with human feedback. Also use for image-to-image transformation, video generation from images, audio generation from references, and annotation-driven precise edits. Trigger on: media production, asset generation, generate image/video/music/audio, create visual content, produce assets, iterative image editing, annotate and refine, creative workflow, content creation, or any task requiring AI-generated media output.
What it loads into context
Frontmatter
218 tokensAlways available to the agent
SKILL.md
3,129 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Prerequisites
- Quick Reference
- Image Production
- Video Production
- Music Production
- Audio Production
- Delivery
- Multi-Media Production Example
Files
SKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytesSKILL.mdcore13,190 bytes
Read SKILL.md
# AnyCap Media Production
> **Read this entire file before starting.** It covers the full production workflow across image, video, music, and audio -- including iterative refinement with human feedback.
Workflow guide for producing media assets with AnyCap. Covers image, video, music, and audio -- from initial generation through iterative refinement to delivery.
This skill is about **how to produce media**. For CLI command reference and parameters, read the `anycap-cli` skill.
## Prerequisites
AnyCap CLI must be installed and authenticated. Read the `anycap-cli` skill if setup is needed.
## Quick Reference
View the complete source on GitHubanycap-social-meme-workflows
When your agent uses it
Create meme-style images, funny meme drawings, captioned photos, and lightweight social visuals with AnyCap. Use when an agent needs to turn a joke, reaction, campaign hook, quote, or screenshot into a meme image, funny doodle-style meme drawing, captioned image, or short meme-video concept. Combines AnyCap image generation and editing with deterministic local text overlay, optional video generation, and Drive or Page delivery.
What it loads into context
Frontmatter
149 tokensAlways available to the agent
SKILL.md
1,724 tokensWhen the skill is activated
Reference documents
1,723 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Read First
- Best Fit
- Core Rule
- Workflow
- Use-Case Article Angle
- Output Expectations
- Guardrails
Files
SKILL.mdcore7,721 bytesSKILL.mdcore7,721 bytesSKILL.mdcore7,721 bytesSKILL.mdcore7,721 bytesSKILL.mdcore7,721 bytesSKILL.mdcore7,721 bytesagents/openai.yamlasset283 bytesreferences/workflows.mddoc7,891 bytes
Read SKILL.md
# AnyCap Social Meme Workflows
Use this skill when the output needs to feel like a meme, captioned social post, or reaction visual, but still has to be reproducible.
**Do not rely on image generation alone for exact caption text.**
Use AnyCap to create or edit the base visual, then render the final caption locally so the text is exact.
## Read First
Read these files before acting:
1. This file for the workflow
2. [references/workflows.md](references/workflows.md) for pattern selection, prompt formulas, and article mapping
View the complete source on GitHubanycap-worldcup-predict
When your agent uses it
World Cup match prediction and pre-match intel for football (soccer) fans: predict who will win and a likely scoreline, backed by structured, verifiable evidence -- player profiles, squad dossiers, current form, head-to-head records, and past-tournament history -- using AnyCap web search and crawl. Weighs FIFA ranking, recent form, head-to-head, and key players, plus any user-defined dimensions (home advantage, injuries, rest, weather, vibes), then makes a clearly-labeled for-fun call with a confidence level and a mandatory disclaimer. Built on the 'search less, not faster' strategy: narrow the search space first, retrieve only what matters, then verify against authoritative sources. Use when a fan wants a World Cup match prediction, predicted score, or who-will-win call; wants a player's profile, bio, form, or stats; wants a full World Cup squad or national-team lineup table; wants to size up two teams before a match; or wants head-to-head and past World Cup context. Trigger on: World Cup prediction, predict the score, who will win, match prediction, predicted scoreline, World Cup, World Cup squad, national team lineup, pre-match analysis, matchup, player form, footballer stats, player profile, head-to-head, or scout a team.
What it loads into context
Frontmatter
324 tokensAlways available to the agent
SKILL.md
2,118 tokensWhen the skill is activated
Reference documents
5,769 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Prerequisites
- Core Principle: Search Less, Not Faster
- Workflow
- Output Schema
- Important: Source Reliability (verified)
- Prediction (for fun)
- Limitations
- Quick Reference
Files
README.mddoc3,095 bytesSKILL.mdcore9,208 bytesSKILL.mdcore9,208 bytesagents/openai.yamlasset238 bytesreferences/batch.mddoc2,495 bytesreferences/history.mddoc5,815 bytesreferences/lookup.mddoc2,333 bytesreferences/predict.mddoc5,426 bytesreferences/stats.mddoc1,852 bytesreferences/verify.mddoc2,395 bytes
Read SKILL.md
# AnyCap World Cup Predict
> **Read this entire file before starting.** It defines a reliable workflow for turning a player name (or a whole squad) into structured, verifiable World Cup pre-match intel using AnyCap, then optionally calling a winner and scoreline for fun.
World Cup match prediction and pre-match intel for serious football fans. Turn player names and lineups into structured, verifiable profiles, stats, and matchup briefings so you can read a World Cup matchup before kickoff -- then, if you want, finish with a for-fun prediction (likely winner + scoreline + confidence). Built for World Cup squads and national-team lineups, and works for any footballer.
This skill is about **how to retrieve and verify player data**. For CLI command reference (flags, output, jq), read the `anycap-cli` skill and its `references/search.md` / `references/crawl.md`.
> This skill surfaces **public information** (profiles, form, historical stats) and can finish with an optional **for-fun prediction** (likely winner + a playful scoreline) derived from that data. It does **not** set betting odds, output win probabilities as if they were facts, or place wagers. Every prediction must ship with the disclaimer in [predict.md](references/predict.md). Treat everything as informational and form your own judgment.
## Prerequisites
- `anycap` CLI installed and authenticated (`anycap status` to verify). Read the `anycap-cli` skill if setup is needed.
- `jq` for parsing JSON output.View the complete source on GitHubSkills included
- anycap-ai-tool-seo
- anycap-blog-production
- anycap-cli
- anycap-deepresearch
- anycap-gemini-omni-video-edit
- anycap-human-interaction
- anycap-media-production
- anycap-social-meme-workflows
- anycap-worldcup-predict
Repository facts
- License
- MIT
- Created
- Mar 24, 2026
- Last pushed
- Oct 21, 2026
- Forks
- 6
- Open issues
- 0
- Project activity
- Active
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 5, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 103 notes
skills/anycap-ai-tool-seo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-ai-tool-seo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-ai-tool-seo/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-blog-production/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-cli/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-cli/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-cli/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-cli/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-cli/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-cli/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/anycap-cli/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 2 dangerous shell commandsin 1 file: anycap-cli/references/drive.md:75
- 185 network referencesin 28 files: anycap-cli/SKILL.md:4 anycap-human-interaction/SKILL.md:4 anycap-cli/references/actions.md:12 and 25 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- 18 references to secretsin 2 files: anycap-cli/references/cli-reference.md:23 anycap-cli/SKILL.md:79
- No requests to vote in Hot
Show all 205 signals by file
skills/anycap-ai-tool-seo/SKILL.md
skills/anycap-ai-tool-seo/references/guardrails.md
- Network accessline 7
- Google's [Search Essentials](https://developers.google.com/search/docs/essentials) say meeting technical requirements does not guarantee crawling, indexing, or serving. A live URL test and a clear manual-action report do not establish tha - Network accessline 8
- A [sitemap](https://developers.google.com/search/docs/crawling-indexing/sitemaps/build-sitemap) helps discovery but does not guarantee indexing. Use `<lastmod>` only for significant, real changes; do not repeatedly resubmit an unchanged s - Network accessline 9
- [Recrawl requests](https://developers.google.com/search/docs/crawling-indexing/ask-google-to-recrawl) can take days to weeks and do not guarantee inclusion. Repeating the request does not make Google crawl faster. - Network accessline 14
- Follow [people-first content guidance](https://developers.google.com/search/docs/fundamentals/creating-helpful-content). There is no preferred word count; changing a date without meaningful changes is not a freshness strategy. “E-E-A-T” i - Network accessline 15
- [Scaled content abuse](https://developers.google.com/search/docs/essentials/spam-policies) can apply regardless of whether text is produced by humans or AI. Do not mass-publish keyword variants, doorway pages, or lightly rewritten pages. - Network accessline 16
- Google [retired the FAQ rich result feature in May 2026](https://developers.google.com/search/updates) and removed its documentation in June 2026. A useful FAQ may still help readers, but `FAQPage` markup is not a Google Search enhancemen - Network accessline 17
- Google's [generative AI Search guidance](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) applies core SEO to AI Overviews and AI Mode. Google Search does not use `llms.txt` as a ranking or visibility signal, - Network accessline 18
- For international pages, follow [localized-version guidance](https://developers.google.com/search/docs/specialty/international/localized-versions): localize the main content, make alternate references reciprocal, and use a suitable canoni - Network accessline 22
- Prefer relevant editorial mentions and user-serving internal links. Do not recommend paid link schemes, bulk exchanges, or low-quality directory volume. Qualify paid placements with [appropriate link attributes](https://developers.google.
skills/anycap-blog-production/SKILL.md
- Network accessline 4
metadata: version: 0.6.5 website: https://anycap.ai - Network accessline 5
version: 0.6.5 website: https://anycap.ai compatibility: Requires anycap CLI binary and internet access. Best for AnyCap website content, especially blog, learn, guide, glossary, and landing-page style articles authored from structured - Network accessline 6
website: https://anycap.ai
skills/anycap-cli/SKILL.md
- Network accessline 4
metadata: version: 0.6.5 website: https://anycap.ai - Network accessline 5
version: 0.6.5 website: https://anycap.ai license: MIT - Network accessline 6
website: https://anycap.ai - Network accessline 30
Read the machine-readable install guide at https://anycap.ai/install.txt for installation tasks. Do not fetch the homepage for install automation. Prefer the **binary install** (install script or GitHub Releases) over npm -- fewer dependenc - Access to secretsline 79
[Credential-related source omitted] - Access to secretsline 82
[Credential-related source omitted] - Access to secretsline 111
[Credential-related source omitted] - Network accessline 397
# Instead of constructing a JSON URL array: # --param images='["https://example.com/photo.jpg"]' - Network accessline 398
# --param images='["https://example.com/photo.jpg"]' - Network accessline 428
# Blocking mode -- opens browser, waits for Done click anycap annotate photo.png -o annotated.png anycap annotate https://localhost:3000 - Network accessline 429
anycap annotate photo.png -o annotated.png anycap annotate https://localhost:3000 anycap annotate output.mp4 - Network accessline 430
anycap annotate https://localhost:3000 - Network accessline 467
# Crawl a web page to Markdown (1 credit) anycap crawl https://example.com | jq -r '.data.markdown' - Network accessline 468
anycap crawl https://example.com | jq -r '.data.markdown' - Network accessline 500
[Credential-related source omitted] - Network accessline 501
[Credential-related source omitted] - Network accessline 627
[Credential-related source omitted] - Network accessline 628
[Credential-related source omitted] - Network accessline 633
# Analyze a remote image by URL anycap actions image-read --url https://example.com/photo.jpg | jq -r '.content' - Network accessline 634
anycap actions image-read --url https://example.com/photo.jpg | jq -r '.content' - Network accessline 654
# Crawl a web page and get Markdown content anycap crawl https://example.com | jq -r '.data.markdown' - Network accessline 655
anycap crawl https://example.com | jq -r '.data.markdown' - Network accessline 697
This project uses [AnyCap](https://anycap.ai) for multimodal capabilities -- image generation, video generation, music, image/video/audio understanding, web search, web crawling, file storage, and static site hosting. When a task requires a
skills/anycap-cli/references/actions.md
- Network accessline 12
# Single image anycap actions image-read --url https://example.com/photo.jpg - Network accessline 13
anycap actions image-read --url https://example.com/photo.jpg - Network accessline 18
# Multiple images (up to 10) anycap actions image-read \ --url https://example.com/before.jpg \ - Network accessline 19
anycap actions image-read --url https://example.com/before.jpg - Network accessline 20
--url https://example.com/before.jpg \ - Network accessline 21
--url https://example.com/after.jpg \ - Network accessline 24
# Mix URLs and local files anycap actions image-read \ --url https://example.com/reference.jpg \ - Network accessline 25
anycap actions image-read --url https://example.com/reference.jpg - Network accessline 26
--url https://example.com/reference.jpg \ - Network accessline 55
anycap actions video-read --url https://example.com/clip.mp4 - Network accessline 56
anycap actions video-read --url https://www.youtube.com/watch?v=dQw4w9WgXcQ --instruction "Summarize this video" - Network accessline 148
anycap actions audio-read --url https://example.com/recording.wav - Network accessline 149
anycap actions audio-read --url https://www.youtube.com/watch?v=dQw4w9WgXcQ --instruction "Transcribe the lyrics" - Network accessline 172
# Pipe content into another tool or file anycap actions image-read --url https://example.com/chart.png \ - Network accessline 173
anycap actions image-read --url https://example.com/chart.png \
skills/anycap-cli/references/annotation.md
- Network accessline 10
|------|-------------------|---------------------|-----------------|----------| | Image | File extension (.png, .jpg, .webp, ...) | Image with annotation overlay | Yes (original + annotations composited) | Yes | | URL | `http://` or `https: - Network accessline 11
| Image | File extension (.png, .jpg, .webp, ...) | Image with annotation overlay | Yes (original + annotations composited) | Yes | | URL | `http://` or `https://` prefix | Live iframe with annotation overlay + Browse mode | No (cross-origi - Network accessline 12
| URL | `http://` or `https://` prefix | Live iframe with annotation overlay + Browse mode | No (cross-origin) | Yes | - Network accessline 72
anycap annotate photo.png anycap annotate https://localhost:3000 - Network accessline 73
anycap annotate https://localhost:3000 - Network accessline 112
"status": "started", "session": "ann_a1b2c3d4", "url": "http://127.0.0.1:54321", - Network accessline 113
"session": "ann_a1b2c3d4", "url": "http://127.0.0.1:54321", "poll_command": "anycap annotate poll --session ann_a1b2c3d4", - Network accessline 114
"url": "http://127.0.0.1:54321", - Network accessline 176
[Credential-related source omitted]
skills/anycap-cli/references/cli-reference.md
- Network accessline 17
| Flag | Description | |------|-------------| | `--endpoint <url>` | Override the server endpoint (default: `https://api.anycap.ai`) | - Network accessline 18
|------|-------------| | `--endpoint <url>` | Override the server endpoint (default: `https://api.anycap.ai`) | | `--verbose` | Enable verbose output (debug logs to stderr) | - Network accessline 19
| `--endpoint <url>` | Override the server endpoint (default: `https://api.anycap.ai`) | - Access to secretsline 23
[Credential-related source omitted] - Access to secretsline 37
[Credential-related source omitted] - Access to secretsline 80
[Credential-related source omitted] - Access to secretsline 91
[Credential-related source omitted] - Access to secretsline 94
[Credential-related source omitted] - Access to secretsline 112
[Credential-related source omitted] - Network accessline 130
| Key | Type | Default | Env Override | Description | |-----|------|---------|-------------|-------------| | `endpoint` | string | `https://api.anycap.ai` | `ANYCAP_API_ENDPOINT` | Server endpoint URL | - Network accessline 131
|-----|------|---------|-------------|-------------| | `endpoint` | string | `https://api.anycap.ai` | `ANYCAP_API_ENDPOINT` | Server endpoint URL | | `auto_update` | bool | `true` | `ANYCAP_NO_UPDATE` (any value to disable) | Auto-update C - Network accessline 132
| `endpoint` | string | `https://api.anycap.ai` | `ANYCAP_API_ENDPOINT` | Server endpoint URL | - Network accessline 148
# Set a value anycap config set endpoint https://api.anycap.ai - Network accessline 149
anycap config set endpoint https://api.anycap.ai - Network accessline 160
# ~/.anycap/config.toml endpoint = "https://api.anycap.ai" - Network accessline 161
endpoint = "https://api.anycap.ai" - Access to secretsline 219
[Credential-related source omitted] - Access to secretsline 236
[Credential-related source omitted] - Access to secretsline 547
[Credential-related source omitted] - Access to secretsline 551
[Credential-related source omitted] - Access to secretsline 553
[Credential-related source omitted] - Access to secretsline 555
[Credential-related source omitted] - Access to secretsline 559
[Credential-related source omitted] - Access to secretsline 560
[Credential-related source omitted] - Access to secretsline 563
[Credential-related source omitted]
skills/anycap-cli/references/crawl.md
- Network accessline 25
# Crawl a page (returns title + markdown + url) anycap crawl https://go.dev - Network accessline 26
anycap crawl https://go.dev - Network accessline 28
# Extract just the markdown content anycap crawl https://docs.go.dev/ref/spec | jq -r '.data.markdown' - Network accessline 29
anycap crawl https://docs.go.dev/ref/spec | jq -r '.data.markdown' - Network accessline 31
# Get the page title anycap crawl https://go.dev | jq -r '.data.title' - Network accessline 32
anycap crawl https://go.dev | jq -r '.data.title' - Network accessline 34
# Crawl documentation anycap crawl https://docs.python.org/3/library/asyncio.html | jq -r '.data.markdown' - Network accessline 35
anycap crawl https://docs.python.org/3/library/asyncio.html | jq -r '.data.markdown' - Network accessline 42
"status": "success", "data": { "url": "https://go.dev", - Network accessline 43
"data": { "url": "https://go.dev", "title": "The Go Programming Language", - Network accessline 44
"url": "https://go.dev",
skills/anycap-cli/references/draw.md
skills/anycap-cli/references/drive.md
- Dangerous shell operationline 75
anycap drive rm <node-id> - Dangerous shell operationline 76
anycap drive rm --src-path /results/old-data.csv - Network accessline 93
{ "status": "success", "url": "https://drive.anycap.dev/s/abc123", - Network accessline 94
"status": "success", "url": "https://drive.anycap.dev/s/abc123", "expires_at": "2026-04-06T14:00:00Z", - Network accessline 95
"url": "https://drive.anycap.dev/s/abc123",
skills/anycap-cli/references/generation.md
- Network accessline 124
anycap image generate --prompt "remove the background" --model <model-id> --mode image-to-image --param images=https://example.com/photo.jpg - Network accessline 126
--model <model-id> \ --mode image-to-image \ --param images=https://example.com/photo.jpg \ - Network accessline 127
--mode image-to-image \ --param images=https://example.com/photo.jpg \ -o no-bg.png - Network accessline 128
--param images=https://example.com/photo.jpg \ - Network accessline 154
anycap image generate --prompt "a portrait in the style of the reference images" --model <model-id> --mode image-to-image --param images='["./local-ref.png","https://example.com/style-ref.jpg"]' - Network accessline 156
--model <model-id> \ --mode image-to-image \ --param images='["./local-ref.png","https://example.com/style-ref.jpg"]' \ - Network accessline 157
--mode image-to-image \ --param images='["./local-ref.png","https://example.com/style-ref.jpg"]' \ -o portrait-styled.png - Network accessline 158
--param images='["./local-ref.png","https://example.com/style-ref.jpg"]' \
skills/anycap-cli/references/music-generation.md
- Network accessline 170
"credits_used": 5, "outputs": [ {"local_path": "/absolute/path/to/lofi-drive.mp3", "url": "https://..."}, - Network accessline 171
"outputs": [ {"local_path": "/absolute/path/to/lofi-drive.mp3", "url": "https://..."}, {"local_path": "/absolute/path/to/lofi-drive_2.mp3", "url": "https://..."} - Network accessline 172
{"local_path": "/absolute/path/to/lofi-drive.mp3", "url": "https://..."}, - Network accessline 173
{"local_path": "/absolute/path/to/lofi-drive_2.mp3", "url": "https://..."}
skills/anycap-cli/references/page.md
- Network accessline 152
"page_id": "pg_aBcDeFg", "page_name": "my-docs-a1b2c3", "page_url": "https://page-my-docs-a1b2c3.anycap.dev", - Network accessline 153
"page_name": "my-docs-a1b2c3", "page_url": "https://page-my-docs-a1b2c3.anycap.dev", "version": 1, - Network accessline 154
"page_url": "https://page-my-docs-a1b2c3.anycap.dev",
skills/anycap-cli/references/search.md
- Network accessline 80
{ "title": "The Go Programming Language", "url": "https://go.dev/", - Network accessline 81
"title": "The Go Programming Language", "url": "https://go.dev/", "description": "An open-source programming language...", - Network accessline 82
"url": "https://go.dev/", - Network accessline 137
"queries": ["Go 1.25 changes", "Go 1.25 release notes"], "sources": [ {"index": 1, "title": "go.dev", "uri": "https://go.dev/doc/go1.25"}, - Network accessline 138
"sources": [ {"index": 1, "title": "go.dev", "uri": "https://go.dev/doc/go1.25"}, {"index": 2, "title": "github.com", "uri": "https://github.com/golang/go/milestone/..."} - Network accessline 139
{"index": 1, "title": "go.dev", "uri": "https://go.dev/doc/go1.25"}, - Network accessline 140
{"index": 2, "title": "github.com", "uri": "https://github.com/golang/go/milestone/..."}
skills/anycap-cli/references/snapshot.md
skills/anycap-cli/references/social.md
skills/anycap-cli/references/video-generation.md
- Network accessline 179
anycap video generate --prompt "animate this scene with gentle wind" --model <model-id> --mode image-to-video --param images=https://example.com/photo.jpg - Network accessline 181
--model <model-id> \ --mode image-to-video \ --param images=https://example.com/photo.jpg - Network accessline 183
--param images=https://example.com/photo.jpg
skills/anycap-deepresearch/SKILL.md
skills/anycap-deepresearch/references/02-gather.md
- Network accessline 34
# Read a specific important page anycap crawl https://important-source.com/article \ - Network accessline 35
anycap crawl https://important-source.com/article \ - Network accessline 38
# Extract just the markdown for reading anycap crawl https://docs.example.com/spec | jq -r '.data.markdown' \ - Network accessline 39
anycap crawl https://docs.example.com/spec | jq -r '.data.markdown' \ - Network accessline 92
# Download an image from a source curl -o research-topic/assets/architecture-diagram.png "https://example.com/diagram.png" - Network accessline 93
curl -o research-topic/assets/architecture-diagram.png "https://example.com/diagram.png" - Network accessline 103
# Analyze a video for key insights anycap actions video-read --url https://example.com/talk.mp4 \ - Network accessline 104
anycap actions video-read --url https://example.com/talk.mp4 \
skills/anycap-deepresearch/references/03-analyze.md
skills/anycap-deepresearch/references/04-synthesize.md
- Network accessline 59
> Cloudflare Workers uses [V8 isolates rather than traditional containers](https://blog.cloudflare.com/workers-architecture) for workload isolation. - Network accessline 63
> Cloudflare Workers uses V8 isolates rather than traditional containers [[1]](https://blog.cloudflare.com/workers-architecture) for workload isolation. - Network accessline 75
**Include specific data.** Numbers, dates, version numbers, quotes -- specifics make a report credible. Vague claims ("many companies use X") are weak; specific claims ("as of 2026, [Cloudflare Workers](https://workers.cloudflare.com/), [Fa - Network accessline 128
 *Source: [Official Docs](https://example.com/docs) [[3]](https://example.com/docs)* - Network accessline 129
*Source: [Official Docs](https://example.com/docs) [[3]](https://example.com/docs)*
skills/anycap-gemini-omni-video-edit/SKILL.md
- Network accessline 4
metadata: version: 0.6.5 website: https://anycap.ai - Network accessline 5
version: 0.6.5 website: https://anycap.ai license: MIT - Network accessline 6
website: https://anycap.ai - Network accessline 28
- Gemini Omni Flash guide: https://ai.google.dev/gemini-api/docs/omni - Network accessline 29
- Gemini API video overview: https://ai.google.dev/gemini-api/docs/video - Network accessline 30
- Gemini Omni Flash model card: https://ai.google.dev/gemini-api/docs/models/gemini-omni-flash
skills/anycap-human-interaction/SKILL.md
- Network accessline 4
metadata: version: 0.6.5 website: https://anycap.ai - Network accessline 5
version: 0.6.5 website: https://anycap.ai license: MIT - Network accessline 6
website: https://anycap.ai - Network accessline 53
`<target>` is auto-detected by content: image file, URL (`http://` or `https://`), video file, or audio file. - Network accessline 94
- **Direct access:** `http://<server-ip>:8888` (if the port is exposed) - **SSH port forward:** `ssh -L 8888:localhost:8888 user@host`, then open `http://localhost:8888` - Network accessline 95
- **SSH port forward:** `ssh -L 8888:localhost:8888 user@host`, then open `http://localhost:8888` - Network accessline 96
- **Container port mapping:** `docker run -p 8888:8888 ...`, then open `http://localhost:8888` - Network accessline 106
https://yourserver.com/tools/annotate/ -> http://localhost:8888/ - Network accessline 180
# Local dev server anycap annotate http://localhost:3000 --no-wait - Network accessline 181
anycap annotate http://localhost:3000 --no-wait - Network accessline 183
# Live URL anycap annotate https://staging.example.com --no-wait - Network accessline 184
anycap annotate https://staging.example.com --no-wait - Network accessline 224
# Round 1: Initial review anycap annotate http://localhost:3000 --no-wait - Network accessline 225
anycap annotate http://localhost:3000 --no-wait - Network accessline 232
# Round 2: Verification review anycap annotate http://localhost:3000 --no-wait - Network accessline 233
anycap annotate http://localhost:3000 --no-wait - Network accessline 402
|-----------|----------|-----| | Built/modified a web page | URL Review (single-user) | Recording captures browsing, scrolling, and narrated feedback | | Local dev server needs review | URL Review (single-user) | Same as above -- use `http: - Network accessline 403
| Built/modified a web page | URL Review (single-user) | Recording captures browsing, scrolling, and narrated feedback | | Local dev server needs review | URL Review (single-user) | Same as above -- use `http://localhost:PORT` | | Generated - Network accessline 404
| Local dev server needs review | URL Review (single-user) | Same as above -- use `http://localhost:PORT` |
skills/anycap-media-production/SKILL.md
- Network accessline 4
metadata: version: 0.6.5 website: https://anycap.ai - Network accessline 5
version: 0.6.5 website: https://anycap.ai license: MIT - Network accessline 6
website: https://anycap.ai - Network accessline 86
anycap image generate --prompt "a portrait in the style of the reference images" --model <model-id> --mode image-to-image --param images='["./local-ref.png","https://example.com/style-ref.jpg"]' - Network accessline 88
--model <model-id> \ --mode image-to-image \ --param images='["./local-ref.png","https://example.com/style-ref.jpg"]' \ - Network accessline 89
--mode image-to-image \ --param images='["./local-ref.png","https://example.com/style-ref.jpg"]' \ -o portrait-styled.png - Network accessline 90
--param images='["./local-ref.png","https://example.com/style-ref.jpg"]' \
skills/anycap-social-meme-workflows/SKILL.md
skills/anycap-worldcup-predict/README.md
- Network accessline 3
> Predict who will win and the likely scoreline for any World Cup match -- backed by > structured, verifiable pre-match intel. An [AnyCap](https://anycap.ai) agent skill - Network accessline 4
> structured, verifiable pre-match intel. An [AnyCap](https://anycap.ai) agent skill - Network accessline 34
- The [`anycap`](https://anycap.ai) CLI, installed and authenticated (`anycap status`).
skills/anycap-worldcup-predict/SKILL.md
- Network accessline 4
metadata: version: 0.6.5 website: https://anycap.ai - Network accessline 5
version: 0.6.5 website: https://anycap.ai license: MIT - Network accessline 6
website: https://anycap.ai - Network accessline 97
- **Wikipedia is reliably crawlable** (`anycap crawl https://en.wikipedia.org/wiki/<Player>` returns full Markdown). Use it as the primary verification source. - Network accessline 122
| `anycap search --prompt "...JSON..."` | Structured profile / stats in one shot (5 cr) | | `anycap search --query "..." --no-crawl` | Find/disambiguate the right player page (1 cr) | | `anycap crawl https://en.wikipedia.org/wiki/<Player>` - Network accessline 123
| `anycap search --query "..." --no-crawl` | Find/disambiguate the right player page (1 cr) | | `anycap crawl https://en.wikipedia.org/wiki/<Player>` | Authoritative verification source (1 cr) | | `anycap status` | Check auth before a batch - Network accessline 124
| `anycap crawl https://en.wikipedia.org/wiki/<Player>` | Authoritative verification source (1 cr) |
skills/anycap-worldcup-predict/references/verify.md
- Network accessline 35
anycap crawl "https://en.wikipedia.org/wiki/<Player>" | jq -r '.data.markdown' > /tmp/<player>.md - Network accessline 55
"date_of_birth": "2003-06-29", "current_club": "Real Madrid", "_sources": ["grounding", "https://en.wikipedia.org/wiki/Jude_Bellingham"], - Network accessline 56
"current_club": "Real Madrid", "_sources": ["grounding", "https://en.wikipedia.org/wiki/Jude_Bellingham"], "_retrieved_at": "2026-06-18" - Network accessline 57
"_sources": ["grounding", "https://en.wikipedia.org/wiki/Jude_Bellingham"],
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.
Signal confidence: 205 facts
- Network access in the frontmatter of the SKILL.mdanycap-ai-tool-seo/SKILL.md:4Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-ai-tool-seo/SKILL.md:5Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-ai-tool-seo/SKILL.md:6Low confidence
- Network access in code of the SKILL.mdanycap-ai-tool-seo/SKILL.md:56High confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:7Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:8Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:9Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:14Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:15Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:16Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:17Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:18Low confidence
- Network access in prose of documentationanycap-ai-tool-seo/references/guardrails.md:22Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-blog-production/SKILL.md:4Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-blog-production/SKILL.md:5Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-blog-production/SKILL.md:6Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-cli/SKILL.md:4Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-cli/SKILL.md:5Low confidence
- Network access in the frontmatter of the SKILL.mdanycap-cli/SKILL.md:6Low confidence
- Network access in prose of the SKILL.mdanycap-cli/SKILL.md:30Low confidence
- Access to secrets in code of the SKILL.md: a variable, placeholder or call, not a stored valueanycap-cli/SKILL.md:79Low confidence
- Access to secrets in prose of the SKILL.mdanycap-cli/SKILL.md:82Low confidence
- Access to secrets in prose of the SKILL.md: a variable, placeholder or call, not a stored valueanycap-cli/SKILL.md:111Low confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:397High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:398High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:428High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:429High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:430High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:467High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:468High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:500High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:501High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:627High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:628High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:633High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:634High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:654High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:655High confidence
- Network access in code of the SKILL.mdanycap-cli/SKILL.md:697High confidence
- Network access in code of documentationanycap-cli/references/actions.md:12Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:13Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:18Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:19Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:20Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:21Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:24Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:25Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:26Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:55Low confidence
- Network access in code of documentationanycap-cli/references/actions.md:56Low confidence
and 155 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Native | Manifest AGENTS.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/anycap-ai-tool-seo/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Native | Manifest gemini-extension.json | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/anycap-ai-tool-seo/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/anycap-ai-tool-seo/SKILL.md | .opencode/skills/<skill-name>/ |
- 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.