codebase-inspection

Calculate lines of code, language breakdowns, and code-comment ratios with pygount.

7|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/kzinmr/ai-topics --skill codebase-inspection-kzinmr
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/kzinmr/ai-topics/tree/main/config/hermes/skills/_overrides/codebase-inspection
Command: npx skills add https://github.com/kzinmr/ai-topics --skill codebase-inspection-kzinmr

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pygount, and includes scripts (resource) components.

What problem does it solve?

This Skill solves the problem of manually analyzing codebases by automating the process with pygount, providing insights like lines of code, language breakdown, and ratios.

Core Features & Use Cases

  • LOC Count: Provides a quick LOC count for a given codebase.
  • Language Breakdown: Offers a detailed breakdown of languages and file counts.
  • Code vs. Comment Ratios: Shows the ratio of code lines to comment lines.
  • Use Case: For a developer looking to get a quick overview of a codebase before diving in.

Quick Start

Analyze the lines of code and comment ratios in your repository using the 'codebase-inspection' skill.

Frequently Asked Questions about codebase-inspection

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

FAQPage Schema
How do I calculate lines of code and comment ratios for a repository?▼

To calculate lines of code and comment ratios, this Skill automates repository analysis using pygount, providing a quick count of code lines, language breakdown, and code-to-comment metrics.

What is the best way to get a language breakdown and file count for a codebase?▼

Getting a language breakdown is handled by analyzing the codebase to offer a detailed view of language usage and file counts, helping developers gauge repository composition and size quickly.

Can I use pygount to estimate project effort and maintainability for a new codebase?▼

Yes, you can use pygount to estimate effort and maintainability by automating codebase analysis to derive lines of code, language usage, and code-comment ratios for software engineering workflows.

Does this code analysis approach work for quickly gauging repository code size before diving in?▼

This code analysis approach works for quickly gauging repository code size before diving in, providing developers with immediate insights into code size and composition for initial assessment.

What metrics does pygount provide for analyzing code composition?▼

Pygount provides metrics for analyzing code composition by calculating total lines of code, detailed language usage breakdowns, and the exact ratio of code lines to comment lines.