Skill Audit
Skill25 starsChanged 7 days agoMITView on GitHub
Audit skill usage and description-trigger fit. Use when finding unused skills, reviewing invocation history, or identifying missing capabilities.
In this repository71 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- docs/llms.txtllms.txt
- llms.txtllms.txt
- agent-fitnessSkill
- body-checkSkill
- briefSkill
- capsule-compactSkill
- closeSkill
- codex-adapterSkill
- cognitive-updateSkill
- comms-summarizeSkill
- compact-noteSkill
- context-capsuleSkill
- context-hygieneSkill
- critique-planSkill
- decideSkill
- deep-reconSkill
- DiagnoseSkill
- digestSkill
- dreamSkill
- EnvelopeSkill
- find-weaknessSkill
- First 10 MovesSkill
- first-winSkill
- frontend-slidesSkill
- Honesty CheckSkill
- humanize-docsSkill
- impeccableSkill
- learn-from-failureSkill
- LearnSkill
- memory-bridgeSkill
- meta-improveSkill
- meta-improve-vaultSkill
- nightly-close-paritySkill
- nightly-ledger-captureSkill
- nightlySkill
- openSkill
- operator-setupSkill
- orientSkill
- pauseSkill
- ponytailSkill
- port-specSkill
- PromoteSkill
- reconcileSkill
- research-deepSkill
- resumeSkill
- Sandbox RoutingSkill
- scout-vaultSkill
- Self-ReviewSkill
- semantic-searchSkill
- setupSkill
- ship-adapterSkill
- skill-huntSkill
- skill-recallSkill
- solution-huntSkill
- sprite-specSkill
- startSkill
- statusSkill
- StuckSkill
- supersedeSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 13
When the wrong skill is invoked repeatedly, or the right one never is (a description mismatch)
- Distinctive: line 14
When a new feature feels like it should be a skill but you can't remember if you already built one
- Very specific: line 15
After importing a skill bundle from another principal (e.g., from a public aigent-OS release)
- Distinctive: line 16
When considering retiring a project area and want to know which skills go with it
- Distinctive: line 66
Read the skill index and skill folder
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skill Audit
Auditing the skill catalog itself. As the install grows from 5 skills to 50, the catalog goes from "I remember every skill" to "I have no idea what's in here." This skill makes the catalog legible to its owner.
When to use
- Once a quarter — hygiene pass
- When the wrong skill is invoked repeatedly, or the right one never is (a description mismatch)
- When a new feature feels like it should be a skill but you can't remember if you already built one
- After importing a skill bundle from another principal (e.g., from a public aigent-OS release)
- When considering retiring a project area and want to know which skills go with it
What it produces
A markdown report with four sections:
Section 1 — All skills, sorted by last invocation
| Skill | Last used | Total invocations (90d) | Description |
|---|---|---|---|
| /open | today | 47 | Start session, load vault context |
| /close | today | 47 | End session, commit memory |
| /skill-recall | 5 days ago | 12 | Find the skill that fits a task |
| /skill-name | 23 days ago | 3 | Example skill entry |
| /old-experiment | 89 days ago | 1 | DEAD — flagged for retirement |Section 2 — Dead skills (last used >60 days, <3 total invocations)
These are candidates for retirement. List with:
- Skill name + path
- Last-used date
- Total invocations
- Recommendation: keep / archive / delete
Section 3 — Description mismatch detection
For each skill, compare the trigger words in its description (and .claude/skill-index.json, where kept) against the actual prompt patterns that preceded each invocation. Flag mismatches:
⚠️ /channel-audit
Triggers: "channel status", "YPP progress", "kill a channel"
Actual prompts that led to invocation: "how are channels doing", "performance check", "review channels"
Suggested words to ADD to the description: "performance check", "review channels", "how are channels doing"Section 4 — Capability gaps
Heuristic: scan recent prompts (last 30 days) where no skill was invoked and the principal manually invoked Read/Bash/Grep instead of a skill. Cluster by keywords. If a cluster has 3+ instances, flag as a capability gap.
🆕 Possible missing skill: "weekly metrics rollup"
Inferred from prompts: "weekly metrics", "this week's numbers", "rollup the week"
Manual tools used: 4 Bash calls per occurrence
Suggestion: codify as /weekly-rollup skill via /skills-builderHow to execute
- Read the skill index and skill folder
- Pull session logs / invocation history (location depends on install — check
vault/daily/,~/.claude/projects/, hook output logs) - For each skill: count last 90 days of invocations, last invocation date
- Build the four sections above
- Output as markdown
- Optionally: write report to
vault/memory/SKILL_AUDIT_<YYYY-MM-DD>.mdfor trend tracking
Why this skill exists
Native skill matching only works if the catalog stays useful. Skills accumulate faster than they're retired. Trigger patterns drift from the principal's actual phrasing. Capability gaps go unnoticed for months. Skill audit is the corrective loop.
Anti-patterns this prevents
- Dead skills nobody has used in 6 months, spending the listing budget (noise)
- Skills the principal needs going unmatched because their descriptions don't match how they actually phrase things
- Re-building a skill that already exists (catalog isn't legible to the owner)
- Frequently-manual workflows that should be skills but never get codified
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.

