What problem does it solve? Security reviews often focus only on application code while missing the real attack surface: leaked secrets in git history, vulnerable dependencies, misconfigured CI/CD pipelines, and shadow infrastructure. This Skill runs a structured, multi-phase security audit that covers both code and infrastructure, then reports findings with severity ratings and remediation plans. ## Core Features & Use Cases - Infrastructure-first audit phases: secrets archaeology in git history, dependency supply chain analysis, CI/CD pipeline security, webhook and integration review, and skill supply chain scanning. - Code-level analysis: OWASP Top 10 checks, STRIDE threat modeling, LLM/AI-specific security checks, and active verification of findings. - Two confidence modes: daily mode with an 8/10 confidence gate for zero-noise reporting, and comprehensive mode with a 2/10 bar for monthly deep scans, plus trend tracking across runs. - Use Case: Before shipping a release, run a full audit to catch an unpinned GitHub Action, a Stripe key committed six months ago, and a Dockerfile running as root, all in one Security Posture Report. ## Quick Start Ask the AI to run a security audit of this repository with /cso and report only high-confidence findings with remediation steps.