skill-audit#

Scans all skill locations (global, workspace, project) and produces a structured audit report.

What It Checks#

Structural Quality (per skill)#

1. Description quality — Is the description field trigger-oriented (tells the model when to use it) vs a vague summary?
2. Gotchas section — Does the SKILL.md include a Gotchas/Pitfalls/Common Issues section? (Highest-signal content per Anthropic)
3. Progressive disclosure — Does the skill use subdirectories (scripts/, references/, assets/, examples/) or is it a flat SKILL.md?
4. File structure — Are there scripts, templates, or reference files the agent can discover?
5. YAML frontmatter — Does it have name, description, and optionally compatibility?
6. Category fit — Does it map cleanly to one of the 9 skill categories (Library/API, Verification, Data, Automation, Scaffolding, Code Quality, CI/CD, Runbooks, Infrastructure)?

Cross-Skill Issues#

1. Duplicates — Same skill name or overlapping functionality across global/workspace/project dirs
2. Orphan files — Stale .skill files, empty dirs, leftover copies
3. Category gaps — Which of the 9 categories have no skills at all?
4. Stale skills — Skills that reference missing tools, dead paths, or deprecated APIs

How to Run#

Tell the agent: "audit my skills" or "run skill-audit"

The agent will:

1. Run scripts/audit.sh to scan all skill locations and collect metadata
2. Score each skill (0-10) based on the checks above
3. Produce a summary report with:
   • Per-skill scorecard
   • Top issues to fix (sorted by impact)
   • Category coverage map
   • Duplicate/orphan findings

Output#

Results are written to .sub-agent-results/skill-audit-report.md and summarized in chat.

Scoring#

PointsCriteria+2Has YAML frontmatter with name + description+2Description is trigger-oriented (contains "use when", "trigger", action verbs)+2Has a Gotchas/Pitfalls/Common Issues section+2Uses progressive disclosure (has subdirs with scripts/references/assets)+1Has at least one script or executable file+1SKILL.md is between 200-5000 chars (not too sparse, not bloated)

Scores: 8-10 = Good, 5-7 = Needs work, 0-4 = Poor

References#

• Anthropic: Lessons from Building Claude Code Skills — Thariq's 9 categories, gotchas sections, progressive disclosure
• Ole Lehmann: Auto-improve Skills — Autoresearch loop (future enhance mode)