What problem does it solve? Before letting an AI agent work on an existing project, you need to know whether the project is healthy enough for agent-assisted development. This Skill audits an existing codebase across dependency security, test infrastructure, CI/CD configuration, and missing configuration files, 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 others), and tiers findings by CVSS severity. - Test Runner and CI/CD Evaluation: Detects test frameworks (Vitest, Jest, pytest, cargo test, RSpec, PHPUnit, xUnit), attempts dry-run verification, and evaluates CI pipeline coverage across lint, test, build, type-check, and security stages. - Prioritized Fix Report: Writes context/foundation/health-check.md with findings split into fix-now items and upcoming-lesson items, each with concrete commands and effort estimates, plus cross-references to stack-assessment results when available. - Use Case: You inherit a brownfield JavaScript 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 directory to audit dependencies, tests, and CI configuration and write a health report.
