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codebase-inspection

Analyze codebases for lines of code, language breakdown, file counts, and code-comment ratios using pygount.

Updated Jul 3, 2026
Search Tags:#code analysis#codebase analysis#pygount#language breakdown#lines of code
One-click install
npx skills add https://github.com/Toqsick/MaxClaw --skill codebase-inspection-toqsick
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/Toqsick/MaxClaw/tree/main/.claude/skills/codebase-inspection
Command: npx skills add https://github.com/Toqsick/MaxClaw --skill codebase-inspection-toqsick

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill allows users to quickly analyze codebases for lines of code, language breakdown, file counts, and code-to-comment ratios, providing insights into the codebase composition.

Core Features & Use Cases

  • LOC Count: Obtain the total lines of code in a repository.
  • Language Breakdown: Understand the distribution of different programming languages in a codebase.
  • File Composition: Inspect the number of files and their types within a repository.
  • Code vs. Comment Ratio: Evaluate the ratio of code to comments for better maintainability.
  • Use Case: A developer wants to know the size and complexity of a new project before diving in.

Quick Start

Run the 'codebase-inspection' skill on a repository to get a summary of its codebase analysis.

Frequently Asked Questions about codebase-inspection

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

FAQPage Schema
How do I count lines of code and get a language breakdown for a repository?▼

To count lines of code and get a language breakdown, you can scan your repository using the pygount tool to obtain total LOC, language distribution, file counts, and code-to-comment ratios.

What is the best way to analyze codebase composition and file types?▼

Analyzing codebase composition involves scanning the repository to identify file counts, language distribution, and lines of code. This provides insights into the project's size and structural makeup.

Can I measure the code-to-comment ratio to assess codebase health?▼

Yes, you can measure the code-to-comment ratio to assess codebase health by scanning the repository, which helps evaluate maintainability and documentation coverage across the codebase.

Do I need pygount to perform codebase analysis?▼

Yes, you need the pygount dependency installed to perform codebase analysis. The scanning functionality relies entirely on pygount to count lines of code and identify language distributions.

How does a codebase inspection help when diving into a new project?▼

A codebase inspection helps when diving into a new project by quickly summarizing repository size, language distribution, and file composition, allowing developers to assess project complexity before contributing.

What metrics are included in a lines of code analysis?▼

A lines of code analysis includes total LOC, file counts, language breakdowns, and code-to-comment ratios, providing a comprehensive overview of the repository's size and composition.

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