
Pre-Push Codebase Audit
FreeEnsure your code is production-ready before pushing.
Free · Opens the source repo
What Pre-Push Codebase Audit does
The Pre-Push Codebase Audit skill is designed for developers who want to ensure their code is clean, secure, and optimized before pushing to GitHub. This skill performs a comprehensive review of the entire codebase, identifying and removing unnecessary files, dead code, and potential security vulnerabilities. By checking each file line-by-line, it helps maintain high code quality and production readiness.
When using this skill, developers can expect a thorough audit process that begins with the removal of junk files, such as OS and log files, and extends to checking for sensitive data that should never be committed. The skill also emphasizes the importance of a well-structured .gitignore file to prevent accidental commits of unwanted files. The audit continues with a detailed examination of source files, focusing on eliminating dead code, improving code quality, and addressing logic issues that could lead to runtime errors.
In addition to code quality checks, the skill includes security assessments to identify hardcoded secrets and vulnerabilities that could expose the application to attacks. It also evaluates scalability and performance considerations, ensuring that the code can handle growth and operates efficiently. Finally, the skill checks for proper documentation and testing practices, reinforcing the importance of maintaining clear and comprehensive project documentation.
This skill is ideal for developers preparing for significant code pushes, whether for a new repository or an update to an existing project. By integrating this skill into the development workflow, teams can enhance code quality and reduce the risk of issues in production environments.
When to use it
Use this skill before making a push to GitHub, especially for new repositories or pre-production deployments.
When not to use it
This skill may not be necessary for small, personal projects or when rapid iterations are prioritized over thorough audits.
What you can build with it
First Push to GitHub
Use this skill to ensure your code is clean and secure before making your first push to a new repository.
Pre-Production Review
Run the skill as part of your pre-production deployment process to catch any potential issues before going live.
Code Cleanup Request
When a team member requests a code cleanup, this skill provides a structured approach to identifying and fixing issues.
How to install Pre-Push Codebase Audit
View source1. Install with the skills CLI
npx skills add sickn33/agentic-awesome-skills/codebase-audit-pre-push --agent claude-code2. Or install it manually
Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.
Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs
Inside SKILL.md
Written by sickn33Pre-Push Codebase Audit
As a senior engineer, you're doing the final review before pushing this code to GitHub. Check everything carefully and fix problems as you find them.
When to Use This Skill
- User requests "audit the codebase" or "review before push"
- Before making the first push to GitHub
- Before making a repository public
- Pre-production deployment review
- User asks to "clean up the code" or "optimize everything"
Your Job
Review the entire codebase file by file. Read the code carefully. Fix issues right away. Don't just note problems—make the necessary changes.
Audit Process
1. Clean Up Junk Files
Start by looking for files that shouldn't be on GitHub:
Delete these immediately:
- OS files:
.DS_Store,Thumbs.db,desktop.ini - Logs:
*.log,npm-debug.log*,yarn-error.log* - Temp files:
*.tmp,*.temp,*.cache,*.swp - Build output:
dist/,build/,.next/,out/,.cache/ - Dependencies:
node_modules/,vendor/,__pycache__/,*.pyc - IDE files:
.idea/,.vscode/(ask user first),*.iml,.project - Backup files:
*.bak,*_old.*,*_backup.*,*_copy.* - Test artifacts:
coverage/,.nyc_output/,test-results/ - Personal junk:
TODO.txt,NOTES.txt,scratch.*,test123.*
Critical - Check for secrets:
.envfiles (should never be committed)- Files containing:
password,api_key,token,secret,private_key *.pem,*.key,*.cert,credentials.json,serviceAccountKey.json
If you find secrets in the code, mark it as a CRITICAL BLOCKER.
2. Fix .gitignore
Check if the .gitignore file exists and is thorough. If it’s missing or not complete, update it to include all junk file patterns above. Ensure that .env.example exists with keys but no values.
3. Audit Every Source File
Look through each code file and check:
Dead Code (remove immediately):
- Commented-out code blocks
- Unused imports/requires
- Unused variables (declared but never used)
- Unused functions (defined but never called)
- Unreachable code (after
return, insideif (false)) - Duplicate logic (same code in multiple places—combine)
Code Quality (fix issues as you go):
- Vague names:
data,info,temp,thing→ rename to be descriptive - Magic numbers:
if (status === 3)→ extract to named constant - Debug statements: remove
console.log,print(),debugger - TODO/FIXME comments: either resolve them or delete them
- TypeScript
any: add proper types or explain whyanyis used - Use
===instead of==in JavaScript - Functions longer than 50 lines: consider splitting
- Nested code greater than 3 levels: refactor with early returns
Logic Issues (critical):
- Missing null/undefined checks
- Array operations on potentially empty arrays
- Async functions that are not awaited
- Promises without
.catch()or try/catch - Possibilities for infinite loops
- Missing
defaultin switch statements
4. Security Check (Zero Tolerance)
Secrets: Search for hardcoded passwords, API keys, and tokens. They must be in environment variables.
Injection vulnerabilities:
- SQL: No string concatenation in queries—use parameterized queries only
- Command injection: No
exec()with user-provided input - Path traversal: No file paths from user input without validation
- XSS: No
innerHTMLordangerouslySetInnerHTMLwith user data
Auth/Authorization:
- Passwords hashed with bcrypt/argon2 (never MD5 or plain text)
- Protected routes check for authentication
- Authorization checks on the server side, not just in the UI
- No IDOR: verify users own the resources they are accessing
Data exposure:
- API responses do not leak unnecessary information
- Error messages do not expose stack traces or database details
- Pagination is present on list endpoints
Dependencies:
- Run
npm auditor an equivalent tool - Flag critically outdated or vulnerable packages
5. Scalability Check
Database:
- N+1 queries: loops with database calls inside → use JOINs or batch queries
- Missing indexes on WHERE/ORDER BY columns
- Unbounded queries: add LIMIT or pagination
- Avoid
SELECT *: specify columns
API Design:
- Heavy operations (like email, reports, file processing) → move to a background queue
- Rate limiting on public endpoints
- Caching for data that is read frequently
- Timeouts on external calls
Code:
- No global mutable state
- Clean up event listeners (to avoid memory leaks)
- Stream large files instead of loading them into memory
6. Architecture Check
Organization:
- Clear folder structure
- Files are in logical locations
- No "misc" or "stuff" folders
Separation of concerns:
- UI layer: only responsible for rendering
- Business logic: pure functions
- Data layer: isolated database queries
- No 500+ line "god files"
Reusability:
- Duplicate code → extract to shared utilities
- Constants defined once and imported
- Types/interfaces reused, not redefined
7. Performance
Backend:
- Expensive operations do not block requests
- Batch database calls when possible
- Set cache headers correctly
Frontend (if applicable):
- Implement code splitting
- Optimize images
- Avoid massive dependencies for small utilities
- Use lazy loading for heavy components
8. Documentation
README.md must include:
- Description of what the project does
- Instructions for installation and execution
- Required environment variables
- Guidance on running tests
Code comments:
- Explain WHY, not WHAT
- Provide explanations for complex logic
- Avoid comments that merely repeat the code
9. Testing
- Critical paths should have tests (auth, payments, core features)
- No
test.onlyorfdescribeshould remain in the code - Avoid
test.skipwithout an explanation - Tests should verify behavior, not implementation details
10. Final Verification
After making all changes, run the app. Ensure nothing is broken. Check that:
- The app starts without errors
- Main features work
- Tests pass (if they exist)
- No regressions have been introduced
Output Format
After auditing, provide a report:
CODEBASE AUDIT COMPLETE
FILES REMOVED:
- node_modules/ (build artifact)
- .env (contained secrets)
- old_backup.js (unused duplicate)
CODE CHANGES:
[src/api/users.js]
✂ Removed unused import: lodash
✂ Removed dead function: formatOldWay()
🔧 Renamed 'data' → 'userData' for clarity
🛡 Added try/catch around API call (line 47)
[src/db/queries.js]
⚡ Fixed N+1 query: now uses JOIN instead of loop
SECURITY ISSUES:
🚨 CRITICAL: Hardcoded API key in config.js (line 12) → moved to .env
⚠️ HIGH: SQL injection risk in search.js (line 34) → fixed with parameterized query
SCALABILITY:
⚡ Added pagination to /api/users endpoint
⚡ Added index on users.email column
FINAL STATUS:
✅ CLEAN - Ready to push to GitHub
Scores:
Security: 9/10 (one minor header missing)
Code Quality: 10/10
Scalability: 9/10
Overall: 9/10
Key Principles
- Read the code thoroughly, don't skim
- Fix issues immediately, don’t just document them
- If uncertain about removing something, ask the user
- Test after making changes
- Be thorough but practical—focus on real problems
- Security issues are blockers—nothing should ship with critical vulnerabilities
Related Skills
@security-auditor- Deeper security review@systematic-debugging- Investigate specific issues@git-pushing- Push code after audit
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
Frequently asked questions about Pre-Push Codebase Audit
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