What problem does it solve? Before letting an AI assistant 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, lockfile presence, test infrastructure, CI/CD coverage, 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, and runs the ecosystem's audit tool (npm audit, pip-audit, cargo audit, govulncheck, and others) with severity tiering. - Test Runner and CI/CD Analysis: Detects test frameworks (Vitest, Jest, pytest, cargo test, RSpec, PHPUnit, xUnit), attempts a dry run, and evaluates CI pipeline coverage across lint, test, build, type-check, and security stages. - Prioritized Fix Report: Writes context/foundation/health-check.md with a healthy / needs-attention / critical-issues verdict, concrete fix commands, effort estimates, and cross-references to stack-assessment findings when available. - Use Case: You inherit a brownfield TypeScript project and want to start AI-assisted development. Run the health check to discover a missing lockfile, two HIGH npm audit findings, and no test runner, then follow the ranked fix list before onboarding the agent. ## Quick Start Ask the assistant to run a health check on the current project to audit dependencies, tests, and CI configuration and write the health-check report.
