codebase-audit-pre-push
Makes your agent check all code before sending it. It removes junk, dead code, security flaws, and optimization issues, ensuring everything is production-ready.
What it does
This tool checks your code before you send it to GitHub. It looks for unnecessary files, code that isn't used, security flaws, and issues that make the program slow. The goal is to ensure the code is ready for use.
When to use it
- ✓Before pushing your code to GitHub for the first time.
- ✓Before making your project public.
- ✓When you want to clean up and optimize your code.
Example of what to ask your AI
“Review my code before pushing to GitHub, looking for security issues and dead code.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool examines each file in your project. It removes files that shouldn't be there, like temporary or configuration files. Then, it checks the code for errors, security vulnerabilities, and parts that can be improved.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add sickn33/agentic-awesome-skills --skill codebase-audit-pre-pushOr download just the file:
curl -L https://raw.githubusercontent.com/sickn33/agentic-awesome-skills/main/plugins/agentic-awesome-skills-claude/skills/codebase-audit-pre-push/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Pre-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
…
FAQ
What are 'junk files'?
These are files that shouldn't be part of the final code, like temporary files, logs, or dependencies that are already installed elsewhere.
What is 'dead code'?
It's code that was written but is never actually used by the program. It just takes up space and can confuse anyone reading the code.
Why is it important to check for 'secrets'?
Secrets are sensitive information like passwords or API keys. If exposed in the code, they can be used by malicious actors to access your systems.
Details
Original description by the author
Deep audit before GitHub push: removes junk files, dead code, security holes, and optimization issues. Checks every file line-by-line for production readiness.
Popularity
- GitHub stars
- 48k
- Ranking position
- #2584
- License
- MIT
- Updated
- 10/15/2026
Comments
- …
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