What problem does it solve? Security reviews of a codebase are often shallow checklist scans that miss leaked credentials in git history, vulnerable dependencies, misconfigured CI/CD pipelines, and LLM-specific attack vectors. This Skill runs a structured, multi-phase security audit that produces confidence-scored findings instead of noisy reports. ## Core Features & Use Cases - Infrastructure-first audit phases: secrets archaeology in git history, dependency supply chain analysis, CI/CD pipeline security, Docker/IaC shadow infrastructure, webhook signature verification, and LLM/AI security checks (prompt injection, unsanitized output, tool-call validation). - Two audit modes: a daily zero-noise mode with an 8/10 confidence gate, and a comprehensive monthly deep scan with a 2/10 reporting bar, plus trend tracking across runs. - Standards coverage: OWASP Top 10 assessment, STRIDE threat modeling, data classification, and skill supply chain scanning for malicious installed agent skills. - Use Case: Before a release, ask for a security audit of your repository to find a leaked API key in git history, an unpinned GitHub Action, and a webhook endpoint missing signature verification, each with severity and false-positive filtering. ## Quick Start Ask the agent to run a security audit of this repository and report only high-confidence vulnerabilities with severity ratings.