health

You can consolidate static analysis and test execution results by running a health workflow that wraps type checking, linting, dead code detection, and test execution to produce a weighted 0-10 code health score, highlighting trends and actionable hotspots.

Tracking code health trends in a CI pipeline is best achieved by running an automated health assessment that generates a weighted 0-10 score and contextual guidance, surfacing quality regressions and hotspots across multiple dimensions over time.

This code health monitoring approach wraps existing type checking, test execution, dead code detection, and shell linting tools, requiring no specific external dependencies to generate a unified score and actionable maintenance recommendations.

You can use a single quality dashboard score for on-demand repository health reviews before releases by invoking a health workflow that analyzes the codebase and returns a weighted 0-10 score with prioritized fix recommendations.

Combining dead code detection and shell linting with standard type checking provides a comprehensive view of repository health metrics by consolidating multiple quality dimensions into a single interpretable score, reducing manual tallying overhead.