Wrap project tools to compute a weighted codebase health score.
npx skills add https://github.com/Manzueti/cyberdart --skill health-manzueti
Please help me install this Agent Skill. Skill: health Source: https://github.com/Manzueti/cyberdart/tree/main/health Command: npx skills add https://github.com/Manzueti/cyberdart --skill health-manzueti
The health skill provides a comprehensive view of your codebase's quality, identifying potential issues and tracking improvements over time.
Run a health check on your codebase with the command: cyberdart health check.
High-intent search queries and answers about installing and using this skill.
To monitor code quality trends over time for continuous integration, this Skill wraps existing project tools like type checkers, linters, and test runners. It generates a weighted composite health score between 0-10 and tracks historical data to provide a detailed codebase quality report.
A weighted composite code quality score is a 0-10 rating generated by aggregating data from various project maintenance tools. It combines results from type checkers, linters, and test runners to quantify overall codebase health and identify issues like type errors and dead code.
To run a health check on your codebase before a commit, execute the command `cyberdart health check`. This triggers automated checks that identify linter warnings, type errors, and dead code, returning a comprehensive report on your project's current health status.
Yes, you can use this health check tool with your existing linters and type checkers. Instead of replacing them, it wraps these existing project tools to aggregate their data into a unified dashboard, providing a comprehensive view of your codebase quality.
This code quality dashboard supports project maintenance for large codebases by continuously tracking quality scores over time. It helps identify potential issues early and understand codebase health trends, making it suitable for routine checks and continuous integration workflows.
An automated codebase health check identifies issues like type errors, linter warnings, and dead code. It aggregates this data from your existing project tools to provide a detailed report and a weighted composite score reflecting overall code quality.
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