codebase-audit skill
Performs a full codebase audit, creates GitHub issues for findings, and fixes them using isolated git worktrees and pull requests.
- GitHub stars
- 1,164
- Files
- 8
- Last commit
- Nov 11, 2026
- License
- MIT
- Allowed tools
- —
What does the codebase-audit skill do?
codebase-audit performs a full codebase audit, creates GitHub issues for findings, and fixes them using isolated git worktrees and pull requests.
Summary generated from the skill's SKILL.md.
About the codebase-audit skill
Developers looking to maintain high repository standards can use this skill to perform comprehensive code reviews and automated repairs. It systematically scans entire directories to identify security vulnerabilities, logic bugs, type safety issues, and resource leaks. The process begins by reading a review strategy and using a code explorer to inspect all source files, followed by a dependency scan using npm audit and Dependabot alerts.
Once findings are identified, the tool categorizes them by severity and creates structured GitHub issues. Instead of modifying the main branch directly, it uses isolated git worktrees to implement fixes for each issue. This ensures that every repair is contained within its own environment. After implementing a fix, the skill runs local builds and tests, commits changes using conventional-changelog format, and submits a pull request. It concludes by cleaning up the worktrees and providing a final report containing links to all created issues and pull requests.
What an agent can do with it
- 1Perform a full codebase auditRequest a comprehensive review of your entire repository to find security and quality issues.
- 2Automate dependency vulnerability patchingIdentify and fix insecure packages by running dependency audits and submitting pull requests.
- 3Convert code findings into tracked tasksTurn identified code smells and bugs into organized GitHub issues for your team.
- 4Apply isolated bug fixesFix multiple issues independently using separate git worktrees to avoid polluting the main branch.
Written from the skill's SKILL.md. Every use case is checked against a quote from it.
How to install the codebase-audit skill
Each command copies the skill folder into the client's skills directory. Restart the client or start a new session to load it.Install the codebase-audit skill in Claude Code
~/.claude/skills/codebase-audit/SKILL.md
$ npx degit TencentCloudBase/CloudBase-AI-Toolkit/skills/codebase-audit ~/.claude/skills/codebase-auditInstall the codebase-audit skill in Claude Code (project)
.claude/skills/codebase-audit/SKILL.md
$ npx degit TencentCloudBase/CloudBase-AI-Toolkit/skills/codebase-audit .claude/skills/codebase-auditInstall the codebase-audit skill in Codex
~/.agents/skills/codebase-audit/SKILL.md
$ npx degit TencentCloudBase/CloudBase-AI-Toolkit/skills/codebase-audit ~/.agents/skills/codebase-auditInstall the codebase-audit skill in Gemini CLI
~/.gemini/skills/codebase-audit/SKILL.md
$ npx degit TencentCloudBase/CloudBase-AI-Toolkit/skills/codebase-audit ~/.gemini/skills/codebase-auditInstall the codebase-audit skill in Claude.ai
npx degit TencentCloudBase/CloudBase-AI-Toolkit/skills/codebase-audit codebase-audit && zip -r codebase-audit.zip codebase-audit # claude.ai → Customize → Skills → + → Create skill → Upload a skill → codebase-audit.zip
SKILL.md
View on GitHubCodebase Audit → Issue → Worktree Fix → PR
End-to-end workflow: systematically review the entire codebase, report findings as GitHub issues, fix each issue in an isolated git worktree, and submit PRs — all in one session.
When to use this skill
Use this skill when you need to:
- Perform a full code review / audit of the codebase
- Proactively find security vulnerabilities, logic bugs, or code quality problems
- Turn code review findings into tracked GitHub issues
- Fix each issue in isolation (worktree per issue) and submit PRs
- Run a periodic codebase health check with automated follow-through
- Audit and fix dependency security vulnerabilities (Dependabot alerts / npm audit)
Do NOT use for:
- Reviewing or fixing a single known bug (use
systematic-debuggingor direct fix) - Triaging existing open PRs (use
pr-review-fix) - Processing attribution issues (use
mcp-attribution-worktree) - Feature development or refactoring unrelated to audit findings
Workflow
Phase 1 — Review
- Read
references/review-strategy.mdfor the review scope and checklist. - Use the
code-explorersubagent to read ALL source files in the target directory (default:mcp/src/). - For each file, systematically check against the review checklist:
- Security: path traversal, injection, unvalidated input, hardcoded secrets, improper error exposure
- Error handling: missing try-catch, swallowed errors, error messages leaking internals
- Type safety:
as any, unsafe casts, missing null checks - Logic bugs: race conditions, incorrect conditionals, unreachable code
- Code quality: dead code, duplication, overly complex functions
- Resource leaks: unclosed connections, missing cleanup
- API design: inconsistent validation, missing required field checks
- Record every finding with: file path, line number(s), category, severity (Critical/High/Medium/Low), description, and suggested fix.
- Dependency scan: Read
references/dependency-audit.mdand run the Dependabot alert fetch +npm auditto discover vulnerable dependencies. Record each finding using the dependency-audit format.
Phase 2 — Analyze & Classify
- Read
references/classification.mdfor severity definitions and grouping rules. - Deduplicate findings — merge instances of the same pattern across files.
- Group findings into fix batches — related issues that should be fixed together in one PR.
- Assign severity and priority:
- P0 (Critical): Security vulnerabilities, data loss risks
- P1 (High): Logic bugs, error handling gaps that cause runtime failures
- P2 (Medium): Type safety, code quality issues affecting maintainability
- P3 (Low): Style, naming, minor cleanup
- Present a structured audit report to the user and wait for confirmation before proceeding.
Phase 3 — Create GitHub Issues
- Read
references/issue-workflow.mdfor issue creation guidelines. - For each fix batch (or individual Critical finding), create a GitHub issue:
gh issue create --title "<type>(<scope>): <summary>" --body "<structured body>" --label "<severity>,<category>" - Issue body must include: affected files, line numbers, problem description, expected behavior, and suggested fix approach.
- Link related issues when findings are connected.
- Present the created issues to the user.
Phase 4 — Worktree Fix
- Read
references/worktree-fix.mdfor the isolation and fix procedure. - For each issue (in priority order):
a. Create an isolated worktree and branch:
b. Work inside the worktree — never in the main checkout. c. Implement the fix, keeping changes minimal and focused. d. Verify locally:git worktree add ../<repo>-audit-fix-<issue-number> -b fix/<slug>-<issue-number> origin/maincd mcp && npm run build && npm run teste. Commit with conventional-changelog format:
f. Push and create PR:git commit -m 'fix(<scope>): 🔒 <english description> Closes #<issue-number>'
g. Remove the worktree after PR is created:git push github fix/<slug>-<issue-number> gh pr create --title "fix(<scope>): 🔒 <summary>" --body "Closes #<issue-number>\n\n<description>" --base maincd <original-dir> git worktree remove ../<repo>-audit-fix-<issue-number> - One worktree per issue. Never mix fixes across worktrees.
- Dependency fixes: For dependency vulnerability batches, follow
references/dependency-audit.mdStep 4. These can be grouped into a single PR since they modifypackage.json/package-lock.json.
Phase 5 — Verify & Report
- Read
references/verification.mdfor the verification checklist. - Check CI status for each PR:
gh pr checks <number> - If CI fails, re-enter the worktree, fix, and push again.
- Generate a final audit report summarizing:
- Total findings by category and severity
- Issues created (with links)
- PRs submitted (with links)
- Remaining items that need human decision
Routing
| Task | Read |
|---|---|
| What to review and how to check each category | references/review-strategy.md |
| Security severity classification (TSRC-style) | references/security-severity-checklist.md |
| How to classify, deduplicate, and batch findings | references/classification.md |
| How to create well-structured GitHub issues | references/issue-workflow.md |
| How to create worktrees and fix issues in isolation | references/worktree-fix.md |
| How to verify fixes and generate the final report | references/verification.md |
| How to audit and fix dependency vulnerabilities | references/dependency-audit.md |
Git safety rules
- Never force-push unless explicitly asked.
- Never amend commits that are already pushed.
- Always work inside the worktree, not the main checkout.
- Always verify build + test locally before pushing.
- One worktree per issue — never mix fixes.
- Clean up worktrees after PR creation.
Commit conventions
Follow the project's conventional-changelog format:
fix(<scope>): 🔒 <english description>
Closes #<issue-number>
Scope examples: security, deps, error-handling, type-safety, code-quality, cloudrun, database, functions
Minimum self-check
- Did I review ALL source files in the target scope, not just a sample?
- Did I categorize each finding with file, line, severity, and description?
- Did I present the audit report and get user confirmation before creating issues?
- Did I create a separate GitHub issue for each fix batch?
- Did I use an isolated worktree for each fix, not the main checkout?
- Did I verify build + test pass before pushing each fix?
- Did I clean up worktrees after creating PRs?
- Did I generate a final report with links to all issues and PRs?
- Did I check Dependabot alerts and npm audit for dependency vulnerabilities?
- Did I apply the correct fix strategy (upgrade / override / replace / dismiss) for each vulnerable dependency?
Files in this skill
8codebase-audit skill questions
How do I install the codebase-audit skill in Claude Code?
Run npx degit TencentCloudBase/CloudBase-AI-Toolkit/skills/codebase-audit ~/.claude/skills/codebase-audit. Claude Code loads skills from ~/.claude/skills (all projects) or .claude/skills (one project) and uses a skill when its description matches the task.
Which clients can use the codebase-audit skill?
Any client that reads the Agent Skills format: Claude Code, Codex, Gemini CLI and claude.ai (upload as a ZIP). Scripts in the skill run only where the client allows code execution.
When should I use the codebase-audit skill?
Use this skill for full code reviews, proactive security and quality audits, turning findings into GitHub issues, or running periodic codebase health checks.
Can this skill fix dependency vulnerabilities?
Yes, it can audit and fix dependency security vulnerabilities by checking Dependabot alerts and running npm audit.