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Deep audit

Skill brycewang-stanford/Auto-Empirical-Research-Skills/skills/15-Felpix-Studios-social-science-research/skills/deep-audit

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Install
npx -y skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill deep-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

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its author says it does

Copied from the file, not written here

Deep consistency audit of the entire repository — launches 4 parallel specialist agents to find factual errors, code bugs, broken references, count mismatches, and cross-document inconsistencies, then fixes all issues and loops until clean. Make sure to use this skill whenever the user wants a comprehensive repository-wide check — not a targeted review of a single file. Triggers include: "audit", "deep audit", "find inconsistencies", "check everything", "run a full audit", "are there any broken references", "check the whole repo", "something feels off", "run the audit loop", or after making broad changes across multiple files.

SKILL.md

5.6 KB, as published. Nobody here has run it

/deep-audit — Repository Infrastructure Audit

Run a comprehensive consistency audit across the entire repository, fix all issues found, and loop until clean.

When to Use

  • After broad changes (new skills, rules, hooks, guide edits)
  • Before releases or major commits
  • When the user asks to "find inconsistencies", "audit", or "check everything"

Workflow

PHASE 1: Launch 4 Parallel Audit Agents

Launch these 4 agents simultaneously using Task with subagent_type=general-purpose:

Agent 1: Guide Content Accuracy

Focus: README.md, CLAUDE.md, rules/workflow-overview.md

  • All numeric claims match reality (skill count, agent count, rule count, hook count)
  • All file paths mentioned actually exist on disk
  • All skill/agent/rule names match actual directory names
  • No stale counts from previous versions

Agent 2: Hook Code Quality

Focus: hooks/*.py and hooks/*.sh

  • No remaining /tmp/ usage (should use ~/.claude/sessions/)
  • Hash length consistency ([:8] across all hooks)
  • Proper error handling (fail-open pattern: top-level try/except with sys.exit(0))
  • JSON input/output correctness (stdin for input, stdout/stderr for output)
  • Exit code correctness (0 for non-blocking, non-zero only when intentionally blocking)
  • from __future__ import annotations for Python 3.8+ compatibility
  • Correct field names from hook input schema (source not type for SessionStart)
  • PreCompact hooks print to stderr (stdout is ignored)

Agent 3: Skills and Rules Consistency

Focus: skills/*/SKILL.md and rules/*.md

  • Valid YAML frontmatter in all files
  • No stale disable-model-invocation: true
  • allowed-tools values are sensible
  • Rule paths: reference existing directories
  • No contradictions between rules
  • CLAUDE.md skills table matches actual skill directories 1:1
  • All templates referenced in rules/guide exist in templates/

Agent 4: Cross-Document Consistency

Focus: README.md, CLAUDE.md

  • All feature counts agree across both documents
  • All links point to valid targets
  • Directory tree matches actual structure
  • No stale counts from previous versions

PHASE 2: Triage Findings

Categorize each finding:

  • Genuine bug: Fix immediately
  • False alarm: Discard (document WHY it's false for future rounds)

Common false alarms to watch for:

  • Quarto callout ## Title inside ::: divs — this is standard syntax, NOT a heading bug
  • allowed-tools linter warning — known linter bug (Claude Code issue #25380), field IS valid
  • Counts in old session logs — these are historical records, not user-facing docs

PHASE 3: Fix All Issues

Apply fixes in parallel where possible. For each fix:

  1. Read the file first (required by Edit tool)
  2. Apply the fix
  3. Verify the fix (grep for stale values, check syntax)

PHASE 4: Documentation Check

This plugin does not maintain a Quarto source file. If README.md or CLAUDE.md were modified, verify they are consistent with each other — no render step is needed.

PHASE 5: Loop or Declare Clean

After fixing, launch a fresh set of 4 agents to verify.

  • If new issues found → fix and loop again
  • If zero genuine issues → declare clean and report summary

Max loops: 5 (to prevent infinite cycling)

Key Lessons from Past Audits

These are real bugs found across 7 rounds — check for these specifically:

Bug PatternWhere to CheckWhat Went Wrong
Stale counts ("19 skills" → "21")Guide, README, landing pageAdded skills but didn't update all mentions
Hook exit codesAll Python hooksExit 2 in PreCompact silently discards stdout
Hook field namespost-compact-restore.pySessionStart uses source, not type
State in /tmp/All Python hooksShould use ~/.claude/sessions/<hash>/
Hash length mismatchAll Python hooksSome used [:12], others [:8]
Missing fail-openPython hooks __main__Unhandled exception → exit 1 → confusing behavior
Python 3.10+ syntaxType hints like `dictNone`
Missing directoriesquality_reports/specs/Referenced in rules but never created
Always-on rule listingGuide + READMEmeta-governance omitted from listings
macOS-only commandsSkills, rulesopen without xdg-open fallback
Protected file blockingsettings.json editsprotect-files.sh blocks Edit/Write

Output Format

After each round, report:

## Round N Audit Results

### Issues Found: X genuine, Y false alarms

| # | Severity | File | Issue | Status |
|---|----------|------|-------|--------|
| 1 | Critical | file.py:42 | Description | Fixed |
| 2 | Medium | file.qmd:100 | Description | Fixed |

### Verification
- [ ] No stale counts (grep confirms)
- [ ] All hooks have fail-open + future annotations
- [ ] Guide renders successfully
- [ ] docs/ updated

### Result: [CLEAN | N issues remaining]

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.