claude-skills-reference/docs/commands/plugin-audit.md

title, description

title	description
/plugin-audit — Slash Command for AI Coding Agents	Comprehensive audit pipeline for skills, plugins, agents, and commands. Validates structure, quality, security, marketplace compliance. Slash command for Claude Code, Codex CLI, Gemini CLI.

/plugin-audit

:material-console: Slash Command :material-github: Source

Full audit pipeline for any skill, plugin, agent, or command in this repository. Runs 8 validation phases, auto-fixes what it can, and only stops for user input on critical decisions (breaking changes, new dependencies).

Usage

/plugin-audit product-team/code-to-prd
/plugin-audit engineering/agenthub
/plugin-audit engineering-team/playwright-pro

What It Does

Execute all 8 phases sequentially. Stop on critical failures. Auto-fix non-critical issues. Report results at the end.

---

Phase 1: Discovery

Identify what the skill contains and classify it.

1. Verify {skill_path} exists and contains SKILL.md
2. Read SKILL.md frontmatter — extract name, description, Category, Tier
3. Detect skill type:
   • Has scripts/ → has Python tools
   • Has references/ → has reference docs
   • Has assets/ → has templates/samples
   • Has expected_outputs/ → has test fixtures
   • Has agents/ → has embedded agents
   • Has skills/ → has sub-skills (compound skill)
   • Has .claude-plugin/plugin.json → is a standalone plugin
   • Has settings.json → has command registrations
4. Detect domain from path: engineering/, product-team/, marketing-skill/, etc.
5. Check for associated command: search commands/ for a .md file matching the skill name

Display discovery summary before proceeding:

Auditing: code-to-prd
  Domain: product-team
  Type: STANDARD skill with standalone plugin
  Scripts: 2 | References: 2 | Assets: 1 | Expected outputs: 3
  Command: /code-to-prd (found)
  Plugin: .claude-plugin/plugin.json (found)

---

Phase 2: Structure Validation

Run the skill-tester validator.

python3 engineering/skill-tester/scripts/skill_validator.py {skill_path} --tier {detected_tier} --json

Parse the JSON output. Extract:

• Overall score and compliance level
• Failed checks (list each)
• Errors and warnings

Gate rule: Score must be ≥ 75 (GOOD). If below 75:

• Read the errors list
• Auto-fix what's possible:
  • Missing frontmatter fields → add them from SKILL.md content
  • Missing sections → add stub headings
  • Missing directories → create empty ones with a note
• Re-run after fixes. If still below 75, report as FAIL and continue to collect remaining results.

---

Phase 3: Quality Scoring

Run the quality scorer.

python3 engineering/skill-tester/scripts/quality_scorer.py {skill_path} --detailed --json

Parse the JSON output. Extract:

• Overall score and letter grade
• Per-dimension scores (Documentation, Code Quality, Completeness, Usability)
• Improvement roadmap items

Gate rule: Score must be ≥ 60 (C). If below 60, report the improvement roadmap items as action items.

---

Phase 4: Script Testing

If the skill has scripts/ with .py files, run the script tester.

python3 engineering/skill-tester/scripts/script_tester.py {skill_path} --json --verbose

Parse the JSON output. For each script, extract:

• Pass/Partial/Fail status
• Individual test results

Gate rule: All scripts must PASS. Any FAIL is a blocker. PARTIAL triggers a warning.

Auto-fix: If a script fails the --help test, check if it has argparse — if not, this is a real issue. If it fails the stdlib-only test, flag the import and ask the user whether the dependency is acceptable (this is a critical decision).

---

Phase 5: Security Audit

Run the skill security auditor.

python3 engineering/skill-security-auditor/scripts/skill_security_auditor.py {skill_path} --strict --json

Parse the JSON output. Extract:

• Verdict (PASS/WARN/FAIL)
• Critical findings (must be zero)
• High findings (must be zero in strict mode)
• Info findings (advisory only)

Gate rule: Zero CRITICAL findings. Zero HIGH findings. Any CRITICAL or HIGH is a blocker — report the exact file, line, pattern, and recommended fix.

Do NOT auto-fix security issues. Report them and let the user decide.

---

Phase 6: Marketplace & Plugin Compliance

6a. plugin.json Validation

If {skill_path}/.claude-plugin/plugin.json exists:

1. Parse as JSON — must be valid
2. Verify only allowed fields: name, description, version, author, homepage, repository, license, skills
3. Version must match repo version (2.1.2)
4. skills must be "./"
5. name must match the skill directory name

Auto-fix: If version is wrong, update it. If extra fields exist, remove them.

6b. settings.json Validation

If {skill_path}/settings.json exists:

1. Parse as JSON — must be valid
2. Version must match repo version
3. If commands field exists, verify each command has a matching file in commands/

6c. Marketplace Entry

Check if the skill has an entry in .claude-plugin/marketplace.json:

1. Search the plugins array for an entry with source matching ./ + skill path
2. If found: verify version, name, and that source path exists
3. If not found: check if the skill's domain bundle (e.g., product-skills) would include it via its source path

6d. Domain plugin.json

Check the parent domain's .claude-plugin/plugin.json:

• Verify the skill count in the description matches reality
• Verify version matches repo version

Auto-fix: Update stale counts. Fix version mismatches.

---

Phase 7: Ecosystem Integration

7a. Cross-Platform Sync

Verify the skill appears in platform indexes:

grep -l "{skill_name}" .codex/skills-index.json .gemini/skills-index.json

If missing from either index:

python3 scripts/sync-codex-skills.py --verbose
python3 scripts/sync-gemini-skills.py --verbose

7b. Command Integration

If the skill has associated commands (from settings.json commands field or matching name in commands/):

• Verify the command .md file has valid YAML frontmatter (name, description)
• Verify the command references the correct skill path
• Verify the command is in mkdocs.yml nav

Auto-fix: Add missing mkdocs.yml nav entries.

7c. Agent Integration

If the skill has embedded agents ({skill_path}/agents/*.md):

• Verify each agent has valid YAML frontmatter
• Verify agent references resolve (relative paths to skills)

Search agents/ for any cs-* agent that references this skill:

grep -rl "{skill_name}\|{skill_path}" agents/

If found, verify the agent's skill references are correct.

7d. Cross-Skill Dependencies

Read the SKILL.md for references to other skills (look for ../ paths, skill names in "Related Skills" sections):

• Verify each referenced skill exists
• Verify the referenced skill's SKILL.md exists

---

Phase 8: Domain-Appropriate Code Review

Based on the skill's domain, invoke the appropriate agent's review perspective:

Domain	Agent	Review Focus
engineering/ or engineering-team/	cs-senior-engineer	Architecture, code quality, CI/CD integration
product-team/	cs-product-manager	PRD quality, user story coverage, RICE alignment
marketing-skill/	cs-content-creator	Content quality, SEO optimization, brand voice
ra-qm-team/	cs-quality-regulatory	Compliance checklist, audit trail, regulatory alignment
business-growth/	cs-growth-strategist	Growth metrics, revenue impact, customer success
finance/	cs-financial-analyst	Financial model accuracy, metric definitions
Other	cs-senior-engineer	General code and architecture review

How to invoke: Read the agent's .md file to understand its review criteria. Apply those criteria to review the skill's SKILL.md, scripts, and references. This is NOT spawning a subagent — it's using the agent's documented perspective to structure your review.

Review checklist (apply domain-appropriate lens):

• SKILL.md workflows are actionable and complete
• Scripts solve the stated problem correctly
• References contain accurate domain knowledge
• Templates/assets are production-ready
• No broken internal links
• Attribution present where required

---

Final Report

Present results as a structured table:

╔══════════════════════════════════════════════════════════════╗
║  PLUGIN AUDIT REPORT: {skill_name}                         ║
╠══════════════════════════════════════════════════════════════╣
║                                                              ║
║  Phase 1 — Discovery          ✅ {type}, {domain}            ║
║  Phase 2 — Structure          ✅ {score}/100 ({level})       ║
║  Phase 3 — Quality            ✅ {score}/100 ({grade})       ║
║  Phase 4 — Scripts            ✅ {n}/{n} PASS                ║
║  Phase 5 — Security           ✅ PASS (0 critical, 0 high)   ║
║  Phase 6 — Marketplace        ✅ plugin.json valid            ║
║  Phase 7 — Ecosystem          ✅ Codex + Gemini synced        ║
║  Phase 8 — Code Review        ✅ {domain} review passed       ║
║                                                              ║
║  VERDICT: ✅ PASS — Ready for merge/publish                  ║
║                                                              ║
║  Auto-fixes applied: {n}                                     ║
║  Warnings: {n}                                               ║
║  Action items: {n}                                           ║
║                                                              ║
╚══════════════════════════════════════════════════════════════╝

Verdict Logic

Condition	Verdict
All phases pass	PASS — Ready for merge/publish
Only warnings (no blockers)	PASS WITH WARNINGS — Review warnings before merge
Any phase has a blocker	FAIL — List blockers with fix instructions

Blockers (any of these = FAIL)

• Structure score < 75
• Quality score < 60 (after noting roadmap)
• Any script FAIL
• Any CRITICAL or HIGH security finding
• plugin.json invalid or has disallowed fields
• Version mismatch with repo

Non-Blockers (warnings only)

• Quality score between 60-75
• Script PARTIAL results
• Missing from one platform index (auto-fixed)
• Missing mkdocs.yml nav entry (auto-fixed)
• Security INFO findings

---

Skill References

Tool	Path
Skill Validator	engineering/skill-tester/scripts/skill_validator.py
Quality Scorer	engineering/skill-tester/scripts/quality_scorer.py
Script Tester	engineering/skill-tester/scripts/script_tester.py
Security Auditor	engineering/skill-security-auditor/scripts/skill_security_auditor.py
Quality Standards	standards/quality/quality-standards.md
Security Standards	standards/security/security-standards.md
Git Standards	standards/git/git-workflow-standards.md