health

Aggregate type checking, linting, tests, and dead-code detection into a 0-10 health score.

Updated Jun 18, 2026

Search Tags:#metrics #code-quality #static-analysis #lint #type-check #code-health #test-results

Ready to run

npx skills add https://github.com/abhishekmmgn/didactic-invention --skill health-abhishekmmgn

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: health
Source: https://github.com/abhishekmmgn/didactic-invention/tree/main/.agents/skills/gstack/health
Command: npx skills add https://github.com/abhishekmmgn/didactic-invention --skill health-abhishekmmgn

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code health scoring helps engineering teams consistently evaluate and track the quality and health of their codebase by aggregating results from multiple analysis tools.

Core Features & Use Cases

Weighted, end-to-end health scoring by wrapping type checking, linting, testing, and dead code detection
Trend tracking over time to alert on regressions and quantify improvements
Use Case: CI dashboards and proactive health monitoring for large repos

Quick Start

Run the health check against your repository to generate a 0-10 health score for your project.

Frequently Asked Questions about health

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I calculate a code health score for my repository?▼

A code health score aggregates results from type checking, linting, testing, and dead code detection to generate a weighted 0-10 rating. This provides a single metric to evaluate and track codebase quality consistently across commits.

What is the best way to track code quality regressions in CI pipelines?▼

Tracking code quality regressions in CI pipelines involves running static analysis and tests across commits to analyze health score trends. This enables automated alerting when quality metrics drop, helping teams spot regressions proactively.

Can I run static analysis and type checking locally to monitor codebase health?▼

Yes, you can run static analysis and type checking locally to monitor codebase health. The analysis logic supports local development environments alongside CI pipelines, allowing developers to evaluate code quality before pushing commits.

Does code health scoring work for large repos with multiple branches?▼

Code health scoring is designed for large repos and supports trend analysis across multiple branches. By aggregating metrics like lint errors and dead code, it enables proactive health monitoring and quantifies improvements over time.

Do I need specific linters or test runners to aggregate code quality metrics?▼

No specific linters or test runners are mandated; the skill implements extensible wrapping logic to integrate various type checking, linting, and testing tools. Optional scripts and assets can augment this analysis to fit your existing workflow.