Aggregate type checking, linting, tests, and dead code checks into a weighted 0-10 score.
npx skills add https://github.com/Scivor/helm --skill health-scivor
Please help me install this Agent Skill. Skill: health Source: https://github.com/Scivor/helm/tree/main/skills/gstack/health Command: npx skills add https://github.com/Scivor/helm --skill health-scivor
Code quality is not a single metric. This Skill aggregates type checking, linting, test results, dead code detection, and shell linting into a weighted 0-10 score and tracks trends over time, giving teams a clear health picture.
Run the health dashboard for the current repository to generate an at-a-glance health report.
High-intent search queries and answers about installing and using this skill.
A code quality dashboard aggregates type checking, linting, tests, and dead code detection into a weighted 0-10 score. It unifies multiple tool outputs to provide a clear health picture for your repository.
Yes, the code health dashboard supports monorepos with multiple projects. It applies quality checks across all projects to track health trends and inform release readiness.
You need existing tools like tsc, eslint, and pytest to run the health dashboard. The dashboard surfaces results from these tools to calculate a consolidated 0-10 score with per-tool weights and trend data.
You track code quality trends by running the health dashboard to generate trend history across type checking, linting, tests, and dead code detection. This history spots improvements or regressions over time.
Run quick health checks across projects and repositories to assess release readiness. This generates a weighted 0-10 score with per-tool weights and trend data to inform risk and release decisions.
stayconnectquickAggregate code quality metrics into a 0-10 health score with trends.
tony30552001Aggregate type checking, linting, testing, dead code, and shell lint results into a 0-10 health score.
bennybennisonRun sequential build, type, lint, test, security, and diff checks.
ailabs-393Identify and quantify technical debt across multi-language codebases.
