What problem does it solve? Security reviews often miss the real attack surface: leaked credentials in git history, vulnerable dependencies, misconfigured CI/CD pipelines, unsigned webhooks, and LLM-specific risks like prompt injection. This Skill runs a structured, infrastructure-first security audit that produces a concrete Security Posture Report with severity-rated findings and remediation plans. ## Core Features & Use Cases - Multi-phase audit coverage: Secrets archaeology in git history, dependency supply chain analysis, CI/CD pipeline security, Docker/Terraform/Kubernetes infrastructure review, webhook signature verification, LLM/AI security checks, and OWASP Top 10 scanning. - Two confidence modes: A daily zero-noise mode with an 8/10 confidence gate, and a comprehensive monthly deep scan with a 2/10 bar that surfaces more potential issues. - Scoped and diff-aware runs: Limit the audit to infrastructure, code, skill supply chain, dependencies, OWASP, a specific domain, or only files changed on the current branch. - Use Case: Before a release, run a full audit to discover an unpinned third-party GitHub Action, a Stripe webhook missing signature verification, and an old API key still present in git history — each reported with severity and a fix plan. ## Quick Start Ask the AI to run a full security audit of this repository and report only high-confidence findings with severity ratings and remediation steps.