vibe code security gate

The problem

AI-assisted code ships faster than the security practices required to protect it. Developers often deploy MVPs that lack logging, have hardcoded secrets, or contain broken access controls simply because they built the app at "vibe speed" and skipped the boring infrastructure.

What it does

• Enforces a 7-pillar security gate covering logging, performance, error tracking, secrets, authorization (IDOR), injection, and support.
• Validates mandatory evidence for every pillar, requiring concrete artifacts like dated auth-test logs and CI configurations.
• Identifies "CI theater" by checking if security scans are configured to actually fail the build rather than just report errors.
• Generates a manual IDOR walk-through script for every authenticated route to find logic flaws that static scanners miss.
• Categorizes all findings into a binary PASS/FAIL verdict to prevent "deploy and fix later" mentalities.

Frameworks & tools

Designed for any stack but provides default configurations for Gitleaks, TruffleHog, Semgrep, sqlmap, Sentry, Pino, and structlog.

Why this beats prompting it yourself

Most LLMs will tell you code looks safe when it is not. This skill replaces subjective "looks good" analysis with a rigid, evidence-based protocol that refuses to grant a pass without verifiable proof of execution. It specifically hunts for the common defects found in AI-generated code, like IDOR-by-default endpoints and unrotated history secrets.

Use cases

• Run a pre-deploy check to ensure an AI-generated MVP is production-ready.
• Audit an existing live app for missing security infrastructure and logging.
• Establish a repeatable deploy gate for small teams shipping fast.
• Perform a post-incident analysis to identify which structural pillar failed.

Known limitations

This is a pre-deploy floor, not a ceiling. It is not a substitute for a penetration test or compliance audit for apps handling PHI or regulated payments.