audit
Skill1 starsChanged 3 months agoApache-2.0View on GitHub
Run a comprehensive project audit organized by severity. Accepts an optional focus area (e.g., "data integration", "UX/UI", "performance", "security").
194 other projects use a version of this.
Adopted by
Most recently taken up by
- Laucked-Security/claude-oswetheir own version, first seen Nov 8, 2026
- sanmidable/skillstheir own version, first seen Nov 8, 2026
- alegauss/claude-traytheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- MammadovEshgin/clean-code-skilltheir own version, first seen Nov 8, 2026
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Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 194
- openai/plugins★ 7.8ksame name
- ccch1mneyyy/dsh-TUI★ 7.2ksame name
- macro-inc/macro★ 6ksame name
- yournextstore/yournextstore★ 5.5ksame name
- gadievron/raptor★ 4ksame name
- alchemy-run/alchemy★ 1.9ksame name
- alchemy-run/alchemy-effect★ 1.9ksame name
- mattmireles/gemma-tuner-multimodal★ 1.5ksame name
- jsmastery-pro/skills★ 1.4ksame name
- nateherkai/AIS-OS★ 1.4ksame name
184 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository24 other files it gives its agents.
- audit-fixSkill
- commitSkill
- deps-auditSkill
- digestSkill
- flowchartSkill
- git-undoSkill
- handoffSkill
- hone-skillSkill
- kickoffSkill
- math-researchSkill
- new-skillSkill
- next-stepsSkill
- prompt-engineerSkill
- prune-test-suiteSkill
- release-notesSkill
- repo-adoptSkill
- repo-issue-scoutSkill
- resolve-tester-bugsSkill
- scaffold-auditSkill
- session-reportSkill
- sidebarSkill
- sync-profile-readmeSkill
- rename-to-match-folderSkill
- worktree-cleanupSkill
The file
We split this skill into the rules it gives an agent
11 rules. 0 are common, 9 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 175 edited versions we read keep these.
9
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Run a comprehensive audit of the current project.
- Very specific: line 12
If $ARGUMENTS is provided, treat it as the focus area for the audit.
- Distinctive: line 43
Before delegating, gather minimal grounding (keep this under ~1 minute of work):
- Distinctive: line 45
Read README.md if present
- Distinctive: line 46
Read CLAUDE.md (root and any nested) if present
- Very specific: line 47
Read package.json (or pyproject.toml, go.mod, Cargo.toml, etc.)
- Distinctive: line 67
If a dimension is clean, say so in one line rather than manufacturing findings
- Distinctive: line 130
Every row in the findings table must cite a file path (and line number when applicable)
- Distinctive: line 131
Never pad the table with generic advice that isn't grounded in observed code
- Distinctive: line 132
If a specialist agent was invoked, fold its findings into the single table — don't return two separate reports
- Distinctive: line 133
If the project is small enough to audit inline without project-auditor (e.g., < 10 source files), skip Step 2 and audit directly — but …
“Common” is measured: kept by at least 6 in 10 of the 175 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Skill: audit
Run a comprehensive audit of the current project. Return findings as a severity-organized table with actionable remediation.
If $ARGUMENTS is provided, treat it as the focus area for the audit. The audit should emphasize that dimension but still surface critical issues in other areas. If no argument is provided, run a general audit across all dimensions.
Step 0 — Parse focus
Interpret the focus argument using the routing table below. Adapt to any reasonable focus the user specifies, even if not listed.
| Focus keyword(s) | Emphasize | Route deep dives to |
data integration, data, pipelines, etl | Schema correctness, transformation logic, data contract validation, idempotency, migration safety, error handling in pipelines, timezone / null handling | Audit inline (no specialist) |
ux/ui, ui, ux, frontend | Component structure, loading/error states, form UX, responsive behavior, consistency, keyboard nav | accessibility-reviewer, performance-reviewer |
accessibility, a11y | WCAG 2.2 AA, semantic HTML, ARIA, keyboard, focus management, contrast | accessibility-reviewer |
performance, perf | Render perf, bundle size, N+1 queries, caching, memoization, async patterns | performance-reviewer |
security, sec | AuthN/Z, input validation, secrets, injection surfaces, OWASP Top 10 | security-reviewer |
code quality, refactor, cleanup | Duplication, cohesion, naming, dead code, type hygiene | refactor-engineer |
dependencies, deps | Vulnerabilities, freshness, unused packages | Run /deps-audit inline |
tests, testing, coverage | Test suite relevance, coverage gaps, test quality | /prune-test-suite skill suggestion |
api, endpoints, backend | Endpoint contracts, error shapes, validation, auth at boundaries, rate limiting | security-reviewer + inline review |
| (none) | All core dimensions equally | project-auditor handles |
Print a one-line banner before proceeding:
🔍 Audit — Project: <name> | Focus: <focus or "general">Step 1 — Quick project context
Before delegating, gather minimal grounding (keep this under ~1 minute of work):
- Read
README.mdif present - Read
CLAUDE.md(root and any nested) if present - Read
package.json(orpyproject.toml,go.mod,Cargo.toml, etc.) - Glob the top-level structure to identify where code lives (
src/,app/,api/,lib/, etc.) - Note framework(s), language(s), and rough scale
Print a one-paragraph project summary so the user (and subagent) can confirm you understood what's being audited.
Step 2 — Dispatch to project-auditor
Invoke the project-auditor subagent with a brief that includes:
- Project summary from Step 1
- Focus area (if specified) — instruct it to weight findings toward that dimension but NOT exclude critical findings elsewhere
- Specialist routing — tell it which specialist agent(s) to invoke for deep dives based on the focus table above
- Output contract (below) — override the agent's default report format
Also instruct the subagent:
- Ground every finding in specific file:line evidence
- Skip generic best-practice advice that doesn't tie to code you can cite
- If a dimension is clean, say so in one line rather than manufacturing findings
- Confidence threshold ≥ 70 (do not report speculative issues)
Step 3 — Format output
Return the findings in this exact shape:
# Audit — <project name>
**Focus:** <focus or "general">
**Stack:** <language/framework summary>
**Overall health:** <one-sentence assessment>
## Findings
| Severity | Area | Issue | File | Fix | Effort |
|----------|------|-------|------|-----|--------|
| P0 Critical | Security | SQL injection via raw concat | `api/users.ts:42` | Parameterize query | S |
| P1 High | Performance | N+1 on user list | `api/users.ts:88` | Batch with `IN()` | S |
| P2 Medium | Code Quality | Duplicated validation logic | `utils/validate.ts:12,44,89` | Extract shared validator | M |
| P3 Low | Docs | README setup steps stale | `README.md:15` | Update install instructions | S |
## Top 3 Actions
1. <Highest-ROI fix — why it matters>
2. <...>
3. <...>
## Pipeline Candidates
<Findings too large or design-heavy for /audit-fix's parallel quick-fix flow.
Reference table rows by number, give a one-line why, and the pipeline entry point.
If none: "None — all findings are /audit-fix-sized.">
- #5 — auth checks duplicated across 4 modules; needs a designed boundary, not a patch → `/plan` then `/build auto` (use `/spec` first if requirements need pinning down)
## Not Covered
- <Area deliberately skipped and why — e.g., "E2E test coverage — no tests directory present">
## Suggested Follow-ups
- Run `@performance-reviewer` on `api/users.ts` for deeper perf analysis
- Run `/deps-audit` to complete the dependency review
- <other specialist handoffs>Severity scale
- P0 Critical — Active security risk, data loss, production breakage. Fix immediately.
- P1 High — Meaningful risk or friction. Next sprint.
- P2 Medium — Plan-for improvements. This quarter.
- P3 Low — Nice-to-haves, minor cleanup. Backlog.
Effort scale
- S — Under 1 hour
- M — A few hours to a day
- L — Multi-day / requires planning
Rules
- Focus area weights findings but does NOT exclude critical issues in other areas (a P0 security bug surfaces even during a performance-focused audit)
- Flag a finding as a Pipeline Candidate when any of these hold: Effort is L, the fix crosses module/architecture boundaries, or it requires design or product decisions. These belong in the spec-driven dev pipeline (
/spec→/plan→/build auto), not/audit-fix— say so in the Pipeline Candidates section rather than sizing them down to fit the table's Fix column - Every row in the findings table must cite a file path (and line number when applicable)
- Never pad the table with generic advice that isn't grounded in observed code
- If a specialist agent was invoked, fold its findings into the single table — don't return two separate reports
- If the project is small enough to audit inline without project-auditor (e.g., < 10 source files), skip Step 2 and audit directly — but still use the output format from Step 3
- Respect the project's context: a weekend side project doesn't need enterprise-grade CI/CD findings
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