skill-audit
Skill53 starsChanged 52 days agoMITView on GitHub
Use when a skill isn't triggering as expected, before adding a new skill (to check for a name collision), during periodic cleanup of an accumulated skills directory, or when asked to review skill quality — checks frontmatter validity, description quality against Skill Discovery Optimization conventions, body size, and cross-scope name collisions.
58 other projects use a version of this.
Adopted by
Most recently taken up by
- aditya-vermax/skillstheir own version, first seen Nov 8, 2026
- NickKostovny/marketing-playbookstheir own version, first seen Nov 8, 2026
- KRISH-exe-29/ai-agent-skill-routertheir own version, first seen Nov 8, 2026
- jocarrd/crux-agentstheir own version, first seen Nov 8, 2026
- rafaelh/skillstheir own version, first seen Nov 4, 2026
- 0xUrsanomics/utopia-ostheir own version, first seen Nov 1, 2026
Used with
Projects with it also use root-cause, write-a-skill and 8 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
Ingramradical235Skillroot-cause
Structured root cause analysis using WHERE (MECE decomposition) then WHY (causal structure diagrams) pipeline. Includes coin-flip detection, logical-leap detection, and vicious cycle intervention. Use when buffer enters YELLOW/RED, when metrics stall, or when Actions execute but don't produce results.
Also in 3 projects that use this
simo97Skillwrite-a-skill
Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
Also in 4 projects that use this
Microsoft AzureSkillreflect
Learning capture system that extracts HIGH/MED/LOW confidence patterns from conversations to prevent repeating mistakes. Use after user corrections ("no", "wrong"), praise ("perfect", "exactly"), or when discovering edge cases. Complements .squad/agents/{agent}/history.md and .squad/decisions.md.
Also in 5 projects that use this
sunnyclinches44Skillexplain
Explains code using real-world analogies and ASCII diagrams
Also in 4 projects that use this
eherrerosjSkillhumanize
Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive 'Signs of AI writing' guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases. Triggers on: 'humanize', 'make this sound human', 'remove AI writing', 'de-AI', 'sound more natural', 'less robotic', 'too AI-sounding', or when reviewing text that reads like AI output.
Also in 3 projects that use this
MicrosoftSkillreport
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded charts.
Also in 3 projects that use this
Other versions58 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 58
- nyldn/claude-octopus★ 4.4ksame name
- automagik-dev/genie★ 351same name
- namastexlabs/automagik-genie★ 351same name
- fimoklei/pm-ai-playbook★ 42same name
- cth9191/skill-audit★ 23same name
- anysiteio/agent-skills★ 20same name
- okjpg/skill-audit★ 15same name
- macintog/codex-spine★ 12same name
- sharbelxyz/skill-audit★ 9same name
- AI-Business-Tools/claude-code★ 5same name
48 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- llms.txtllms.txt
- capability-auditSkill
- changelog-from-commitsSkill
- deterministic-checksSkill
- doc-link-auditSkill
- find-promptSkill
- capability-auditSkill
- changelog-from-commitsSkill
- deterministic-checksSkill
- doc-link-auditSkill
- find-promptSkill
- skill-auditSkill
The file
Files
Skill Audit
Overview
Skills accumulate. Nobody deletes them, most developers hit 8-12 installed skills before the per-session token cost of loading every description starts to outweigh the benefit, and a skill installed at both the personal and project scope with the same name fails silently — the higher-precedence one wins and the other never fires, with no error anywhere. This script checks the mechanical properties that predict a skill working or silently failing: valid frontmatter, a description that leads with the trigger (not a workflow summary), a body under the token-efficiency guideline, and no name collision across scopes.
Core principle: A skill that never triggers and a skill that doesn't exist have the same effect on the user, but only one of them is visible in a directory listing. This script finds the invisible kind.
Usage
python3 ${CLAUDE_SKILL_DIR}/scripts/audit.py [skills_dir ...]With no arguments, checks .claude/skills/ (project) and ~/.claude/skills/ (personal) if they exist. Pass explicit paths to also check a plugin's skills/ directory. Exit code 0 = clean, 1 = findings, 2 = usage error.
python3 ${CLAUDE_SKILL_DIR}/scripts/audit.py .claude/skills ~/.claude/skills ./my-plugin/skillsWhat it checks
| Check | Why it matters |
| Frontmatter parses | A SKILL.md without valid ----delimited YAML at the top cannot be discovered reliably by the host |
name field matches directory name | The command comes from the directory name for personal/project skills; a mismatched name field is almost always a copy-paste leftover from another skill |
| Description opens with a trigger phrase | Per Skill Discovery Optimization: "Route the task and adopt it as your instructions" (what it does) trains the model to act on the summary instead of reading the body; "Use when the user names a task" (when to fire) doesn't |
| Description doesn't summarize the workflow | A description that describes the process ("dispatches a subagent per task, reviews between each") gives the model a shortcut that has been observed to cause it to skip steps the actual skill body specifies |
| Description length | Over 1024 characters fails the Agent Skills spec limit |
| Body word count | Past ~2000 words (~500 lines), token cost per invocation is high enough that a reference file loaded on demand almost always beats keeping everything inline |
| Cross-scope name collisions | Two SKILL.md files with the same name (or same directory name) at different scopes — one always wins, the other never triggers, and nothing tells you which |
What it does not check
Whether the skill's instructions are correct, whether it actually gets invoked on the prompts it should (that requires running real scenarios — see the with-skill/without-skill baseline in agent-skills-prompt.md), or whether supporting files referenced from the body actually exist and are useful. This script catches the mechanical failure modes; it is not a substitute for testing trigger accuracy.
Remember
A clean audit means the skill is structurally capable of working. It says nothing about whether it triggers on the right prompts or produces the right output — that's a separate, behavioral test, not a static one.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

