Aggregate type checks, linting, tests, and dead-code detection into a health metric.
npx skills add https://github.com/mi179/claude-skills --skill health-mi179
Please help me install this Agent Skill. Skill: health Source: https://github.com/mi179/claude-skills/tree/main/user/gstack/health Command: npx skills add https://github.com/mi179/claude-skills --skill health-mi179
Code health assessment by aggregating signals from multiple tooling into a single, comparable quality score, enabling teams to spot deterioration early.
Run the health check to generate the current codebase health score and a trend report.
High-intent search queries and answers about installing and using this skill.
Code health scores are generated by aggregating deterministic checks from type checkers, linters, test runners, and dead code detectors into a unified metric. This enables teams to quantify codebase quality and spot deterioration early.
Tracking code health trends works by running deterministic checks in CI pipelines and storing timestamped data. This provides long-term visibility into code quality, enabling teams to plan refactoring improvements based on historical metrics.
Code quality metrics can guide refactoring priorities by surfacing actionable insights from dead-code detection, shell linting, and test results. Running health checks on large repositories quantifies exactly where structural improvements are needed.
A code health dashboard aggregates type checks, linting, and test failures into a comparable quality score. You need it during PR reviews to measure codebase health objectively and prevent quality deterioration before merging changes.
The code health metric works across both local development environments and CI pipelines. It runs deterministic checks locally to provide immediate feedback on code quality before pushing changes, ensuring consistent health scoring.
The best way to measure codebase health is combining static analysis, linting, and test execution into a single comparable score. Aggregating these deterministic signals provides a comprehensive view of code quality and tracks trends over time.
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