What problem does it solve? Before letting an AI agent work on an existing codebase, you need to know whether the project is healthy enough to support agent-assisted development. This Skill audits dependency security, test infrastructure, CI/CD coverage, and configuration completeness, then produces a prioritized report with an agent-readiness verdict. ## Core Features & Use Cases - Dependency and security audit: Detects the language family from project markers (package.json, Cargo.toml, pyproject.toml, go.mod, and more), checks lockfile presence, runs the ecosystem's audit tool (npm audit, pip-audit, cargo audit, govulncheck), and tiers findings by CVSS severity. - Test runner and CI/CD evaluation: Detects test frameworks (Vitest, Jest, pytest, cargo test, RSpec, PHPUnit), attempts a dry run, and scores CI pipeline coverage across lint, test, build, type-check, and security stages. - Structured health report: Writes context/foundation/health-check.md with a healthy / needs-attention / critical-issues verdict, prioritized fixes split into "fix now" vs "covered in upcoming lessons", and cross-references with stack-assessment.md when available. - Use Case: You have a brownfield project and want to start agent-assisted development. Run the health check to discover a missing lockfile, two HIGH npm audit findings, and no test runner, then follow the concrete fix commands before onboarding the agent. ## Quick Start Ask the agent to run a health check on the current project to audit its dependencies, tests, CI, and configuration and write a health report.
