Analyzes codebases to produce structured quality health reports with risk-scored modules based on git churn, test coverage, and test-to-source mapping, acting as an MCP server for AI coding agents and a standalone CLI.
Enables local code inspection and analysis for clean code practices, best practices, and actionable recommendations without external API calls or modifying the code.
Enables scanning projects for dependency vulnerabilities, secrets, license conflicts, code quality, and git health, returning a 0-100 health score with actionable suggestions.