agentsclimarketplace

Skills audit

Skill minghinmatthewlam/skills-audit

Audit agent skills in a repo against practical skill-design best practices.

Install
npx -y skills add minghinmatthewlam/skills-audit

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Audit agent skills in a repo against best practices — checks .claude/skills/ and .agents/skills/ for quality, structure, and coverage gaps. Use when the user wants to review, improve, or evaluate their skills, or when they mention skill quality, skill audit, or skill best practices.

SKILL.md

4.6 KB, as published. Nobody here has run it

Audit Skills

Scan a repo's agent skills and audit them against field-tested best practices. Works across agent systems — Claude Code (.claude/skills/), Codex (.agents/skills/), or custom paths.

What This Skill Does

  1. Discover all skills in the repo across agent systems
  2. Classify each skill into a known category (flag skills that straddle multiple)
  3. Score each skill against a quality checklist (agent-system-aware)
  4. Identify gaps — skill categories missing given what the repo actually contains
  5. Output a prioritized scorecard with specific, actionable recommendations

Phase 1: Discover Skills

Search for skills in both user-level and project-level locations:

User-level (global installs):

  • ~/.claude/skills/ — Claude Code skills
  • ~/.agents/skills/ — Codex / generic agent skills
  • ~/.claude/commands/ — Claude Code commands

Project-level (repo-local):

  • .claude/skills/ — Claude Code skills checked into the repo
  • .agents/skills/ — Codex skills checked into the repo

Also check any custom paths the user provides. Deduplicate if the same skill appears in both locations.

For each skill found, note:

  • Its agent system (claude, codex, generic)
  • Whether it's a single file or a folder with resources
  • The presence of frontmatter (name, description fields)

If no skills are found, tell the user and offer to help them create their first one.

Phase 2: Classify Each Skill

Assign each skill to one of the 9 categories in references/categories.md. Read that file for the full taxonomy.

Classification signals:

  • The skill name and description
  • What the skill body instructs the agent to do
  • What tools/scripts it references

If a skill clearly straddles two categories, flag it — this is a smell. Good skills fit cleanly into one category. Suggest how to split or refocus.

Phase 3: Score Each Skill

Apply the checklist from references/checklist.md to each skill. The checklist has two tiers:

  • Universal checks — apply to all skills regardless of agent system
  • Claude-specific checks — only apply to skills in .claude/skills/

Use judgment about applicability. Not every check applies to every skill. The checklist has N/A options — use them. A 25-line behavioral skill shouldn't be penalized for lacking progressive disclosure or bundled scripts. A generic cross-repo skill shouldn't be penalized for "stating the obvious" when stating principles IS its purpose. Score only checks that are meaningful for that skill's purpose and size. The score denominator should reflect only the checks that apply (e.g., 5/6 if 2 checks were N/A out of 8).

For each applicable check, score as:

  • Pass — the skill does this well
  • Partial — present but could be better (explain how)
  • Missing — not present (explain why it matters and how to add it)
  • N/A — check doesn't apply to this skill (doesn't count toward total)

Phase 4: Repo-Level Gap Analysis

Look at the repo's actual contents to identify missing skill categories:

  • Has CI config (.github/workflows/, etc.) but no CI/CD skill?
  • Has a test suite but no verification skill?
  • Has internal libraries/SDKs but no library reference skill?
  • Has deployment scripts but no deployment skill?
  • Has data pipelines but no data fetching skill?

Suggest the highest-value skills to create, prioritized by how much time they'd save.

Phase 5: Output the Scorecard

Present findings as a prioritized scorecard. Structure:

Per-Skill Findings (ordered by priority)

For each skill, show:

  • Category: which of the 9 types
  • Agent system: claude / codex / generic
  • Score: X/Y checks passing
  • Top issues (P1 first): what to fix and how, with specific suggestions

Repo-Level Gaps

  • Missing skill categories with rationale
  • Suggested new skills, ordered by estimated impact

Quick Wins

Top 3-5 changes that would have the biggest impact across all skills. These are the "do these first" items.

Apply Mode

If the user asks to fix/improve a specific skill, interactively apply the audit findings:

  1. Show the specific issues for that skill
  2. Propose concrete changes (restructure into folder, add gotchas section, rewrite description, etc.)
  3. Get approval before making changes
  4. Make the changes

Don't batch-apply fixes across all skills without asking — let the user pick which to improve.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.