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codebase-inspection

Analyze codebases with pygount for LOC counts and language breakdowns.

Updated May 25, 2026
Search Tags:#code analysis#codebase#metrics#pygount#lines of code
One-click install
npx skills add https://github.com/webdevtodayjason/subctl-rust --skill codebase-inspection-webdevtodayjason
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/webdevtodayjason/subctl-rust/tree/main/skills/codebase-inspection
Command: npx skills add https://github.com/webdevtodayjason/subctl-rust --skill codebase-inspection-webdevtodayjason

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill quickly provides insights into codebases, including lines of code, language breakdown, and code-to-comment ratios.

Core Features & Use Cases

  • Lines of Code (LOC) Count: Get a total count of lines of code in a repository.
  • Language Breakdown: Understand the distribution of programming languages used in a codebase.
  • Codebase Composition: Learn about the file counts and code-to-comment ratios.
  • Use Case: A developer can use this Skill to quickly assess the size and complexity of a new repository they are about to work on.

Quick Start

Run the codebase-inspection skill on your repository to get an overview of its composition and language distribution.

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 in a repository?▼

You can count lines of code in a repository by running a pygount-based analysis to instantly retrieve the total LOC count, file counts, and language breakdown.

What is a code-to-comment ratio and how is it calculated?▼

A code-to-comment ratio measures the proportion of comments relative to executable lines of code, calculated here by evaluating total lines of code against comment lines using pygount.

How do I get a language breakdown for a new codebase?▼

To get a language breakdown for a new codebase, run an inspection that analyzes the repository to identify and display the distribution of all programming languages used.

Can I use pygount to assess repository size and complexity?▼

Yes, you can use pygount to assess repository size and complexity by generating metrics like total lines of code, file counts, and language distribution, which are ideal for evaluating new projects.

Does this codebase analysis work for various coding projects?▼

Yes, this codebase analysis is applicable to various coding projects and management tasks, providing insights like code-to-comment ratios and language breakdowns across different repository types.

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