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    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseOpenClawOpenClaw+21 more

    ai Code Sanitizer

    1

    Automatically detect and purge AI coding slop: remove debug logs, strip dead imports, wipe commented code, and prevent secret leaks.

    Free

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    ai-code-sanitizer

    ai-code-sanitizer

    Example session with this skill installed

    Audit my staged changes in the user auth service. I used an AI to refactor the login flow and I'm worried about debug prints and hardcoded test keys.

    • Read your context and instructions
    • Compiled the ai-code-sanitizer

    I have audited the staged changes in services/auth_service.py. The following slop and security risks were identified and removed: 3 print statements used for tracing, 1 block of commented-out legacy validation logic, and 1 hardcoded Stripe test key.

    Sanitized Changes

    import os

# Removed unused import: import time
# Removed unused import: import json

def authenticate_user(username, password):
    # Purged: print(f"DEBUG: Authenticating {username}")
    
    # Securely replaced hardcoded key with environment variable
    api_key = os.getenv("STRIPE_API_KEY")
    
    user = db.query("SELECT * FROM users WHERE username = %s", (username,))
    
    if user and verify_password(password, user.hashed_password):
        # Purged 12 lines of commented-out legacy auth logic
        return generate_token(user.id)
    
    return None

def verify_password(password, hashed):
    # Logic preserved
    return pwd_context.verify(password, hashed)

    Next steps

    1. Add STRIPE_API_KEY to your production .env or secrets manager.
    2. Run your test suite to ensure the removed imports were not side-effect dependent.
    3. Commit the sanitized changes.

    💡 Recommended Production Suite:

    Connects securely to your tools. The creator never sees your data.

    About this skill

    The Problem: AI Coding Slop

    Modern developers rely heavily on AI coding agents like Claude Code, Cursor, and Copilot. However, AI agents routinely leave behind messy "slop": stray console.log() and print() statements, zombie imports, massive blocks of commented-out legacy code, half-finished TODOs, and dangerous hardcoded API secrets.

    What AI Code Sanitizer Does

    • Debug Print & Logger Purge: Detects and wipes leftover debugging calls (print(), console.log, debugger, dd()) across staged files.
    • Dead Code & Comment Strip: Automatically finds and eliminates abandoned commented-out code blocks that AI forgot to remove.
    • Secret & Credential Gatekeeper: Scans diffs for accidental hardcoded API tokens, JWTs, and private keys before they reach git history.
    • Unused Import Cleanup: Flags ghost dependencies and imports introduced during AI trial-and-error sessions.

    💡 Recommended Production Suite

    Upgrade your complete software development lifecycle with our production-grade agent skills:

    • 🧪 Pytest Pro ($7) — Automated AAA-pattern pytest suites with smart API mocking and automated test execution.
    • 🚀 GitHub Actions Pro ($7) — Robust, secure, and cache-optimized CI/CD workflows for instant testing and releases.
    • 🐳 Docker Production Pro ($7) — Ultra-lean (<100MB), secure multi-stage Dockerfiles and compose setups.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

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    Click the path to copy it. Create the folder if it does not exist yet.

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