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.