What problem does it solve? Shipping code to production without a systematic review leads to exposed secrets, missing authentication, SQL injection vectors, and untested rollback plans. This Skill runs a structured pre-production audit across 8 categories and blocks deployment until critical issues are resolved. ## Core Features & Use Cases - Automated Multi-Category Scanning: Runs 40+ checks across Security, Database, Deployment, Code Quality, AI/LLM, Dependencies, Frontend, and Observability using grep patterns and a Python CLI scanner. - Stack-Aware Detection: Identifies frameworks (Next.js, React, Django, FastAPI), databases (Supabase, PostgreSQL, MongoDB), and deploy targets (Vercel, Docker, Fly.io) to skip irrelevant checks. - Severity-Based Verdicts: Classifies findings as CRITICAL, HIGH, or ADVISORY and outputs a clear verdict: DO NOT SHIP, SHIP WITH CAUTION, or CLEAR TO SHIP. - Use Case: Before deploying a Next.js + Supabase app, run the audit to catch a service_role key leaked in client code and missing RLS policies, then re-run after fixes to confirm clearance. ## Quick Start Ask the AI to run the ship gate audit on this project before deploying to production.