health

Name: health
Availability: InStock
Author: VanL

Analyze project repositories to quantify code quality and health from tool outputs.

1|Updated Jul 6, 2025

Search Tags:#code quality #linting #test coverage #project health #trend analysis

Ready to run

npx skills add https://github.com/VanL/simplebroker --skill health-vanl

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a comprehensive view of a codebase’s health by integrating checks like type validation, linting, testing, and dead code detection, enabling teams to easily monitor software quality over time.

Core Features & Use Cases

Code Quality Dashboard: Wraps tools such as type checkers, linters, and test runners to generate a composite score.
Trend Tracking: Records quality metrics to visualize improvements or regressions over time.
Use Case: When assessing the health of a large codebase before a release, developers can run this Skill to generate a quantitative quality score and trend insights to inform release decisions.

Quick Start

Invoke the health skill to generate a current code quality report for your project repository.

Frequently Asked Questions about health

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

FAQPage Schema

How do I assess code quality and project health before a release?▼

Code quality and project health can be assessed by analyzing project repositories to consolidate type validation, linting, test coverage, and dead code detection outputs into a composite score. This quantifies maintainability and safety to inform release decisions.

What is the best way to track code quality metrics over time?▼

Tracking code quality metrics over time is done by recording tool outputs like type checking and test coverage to visualize improvements or regressions as trend insights. This enables software teams to monitor maintainability and progress during code audits.

How does static analysis ensure repository safety during code audits?▼

Static analysis ensures repository safety during code audits by examining configuration files and scripts to identify and avoid malicious code or prompt injections. This process quantifies project health without executing potentially unsafe code.

Can I generate a code quality dashboard for a large codebase?▼

You can generate a code quality dashboard for a large codebase by wrapping type checkers, linters, and test runners to produce a quantitative quality score. This provides a comprehensive view of codebase health and maintainability.

Does code quality monitoring work without external dependencies?▼

Code quality monitoring works without external dependencies by using built-in scripts and references to statically analyze project configurations. It consolidates outputs from existing project tools to calculate a composite health score.