What problem does it solve? AI-assisted codebases often ship with classic vulnerabilities like SQL injection, hardcoded secrets, IDOR, and missing rate limits. This Skill provides a structured defensive security review that confirms findings with source-to-sink evidence instead of noisy keyword matching. ## Core Features & Use Cases - Canonical Rule Set: Checks code against 21 canonical rules covering secrets, SQL injection, XSS, IDOR, CSRF, SSRF, mass assignment, command injection, and more, each with a maximum severity cap. - Language Overlays: Detects the primary language and loads specialized rules for TypeScript/JavaScript, Python, PHP, Go, and Rust, with generic rules as fallback. - Bounded Scan Modes: Supports focused scans for narrow changes, full audits for production readiness, and sequential chunked reviews for large repositories without creating workspace files. - Use Case: Before deploying a new authentication and payment flow, run a full scan to confirm password hashing, rate limits, idempotency, and tenant isolation, then receive a Vietnamese or English report with severity counts, evidence, and safe fixes. ## Quick Start Ask the assistant to run a defensive security scan on the current repository and report confirmed vulnerabilities with severity, evidence, and recommended fixes.