code-quality-metrics

Assess code quality using cyclomatic complexity, test coverage, and maintainability metrics.

Updated May 26, 2026
One-click install
npx skills add https://github.com/dinoudon/udon-collective-skills --skill code-quality-metrics-dinoudon
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-quality-metrics
Source: https://github.com/dinoudon/udon-collective-skills/tree/main/skills/development/code-quality-metrics
Command: npx skills add https://github.com/dinoudon/udon-collective-skills --skill code-quality-metrics-dinoudon

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires radon, sonarqube, coverage, pmd, pmd-cpd, sonarsource, snyk, dependabot, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides a comprehensive framework for measuring and improving code quality using various metrics, ensuring maintainability and reducing technical debt.

Core Features & Use Cases

  • Objective Metrics: Utilizes metrics like cyclomatic complexity, test coverage, code churn, maintainability index, and technical debt tracking.
  • Data-Driven Improvement: Focuses on actionable insights for code quality enhancement.
  • Use Case: Ideal for large codebases, team projects, and long-lived systems to ensure code quality and reduce technical debt.

Quick Start

Use the code-quality-metrics skill to evaluate the quality of your codebase by executing the analysis command.

Frequently Asked Questions about code-quality-metrics

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

FAQPage Schema
How do I measure cyclomatic complexity and track technical debt in a large codebase?▼

You can measure cyclomatic complexity and track technical debt using tools like Radon and SonarQube. This Skill provides a comprehensive framework to assess code health, calculate maintainability index, and identify areas for improvement.

What is the best way to combine test coverage and code churn metrics for data-driven code quality improvement?▼

The best way to combine test coverage and code churn metrics is by applying a comprehensive assessment framework. Using tools like Coverage.py alongside SonarQube yields actionable insights for data-driven code quality enhancement.

Does this code quality measurement framework work with SonarQube and Radon for maintainability index calculation?▼

Yes, this code quality measurement framework works directly with SonarQube and Radon. It utilizes these dependencies to calculate the maintainability index and provide objective metrics for your software projects.

Can I use Snyk and Dependabot outputs for technical debt tracking in long-lived team projects?▼

Yes, you can integrate outputs from Snyk and Dependabot for technical debt tracking. This framework leverages these dependency tools to assess code quality and reduce technical debt in long-lived team systems.

When should I not use cyclomatic complexity metrics for evaluating code health?▼

You should not rely solely on cyclomatic complexity metrics when your priority is identifying security vulnerabilities or external dependency issues. In those cases, tools like Snyk or PMD-CPD provide more targeted analysis than general maintainability metrics.