codebase-inspection

Count lines of code and generate language breakdowns for a repository.

Updated Apr 10, 2026

Search Tags:#repository #code-analysis #loc #code-metrics #pygount #language-breakdown

Ready to run

npx skills add https://github.com/VYRE-Studios/Windows-Agentic-Framework --skill codebase-inspection-vyre-studios

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/VYRE-Studios/Windows-Agentic-Framework/tree/main/skills/github/codebase-inspection
Command: npx skills add https://github.com/VYRE-Studios/Windows-Agentic-Framework --skill codebase-inspection-vyre-studios

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers and analysts need fast insight into the size, language composition, and comment density of a codebase, but manual counting is tedious and error‑prone.

Core Features & Use Cases

LOC counting: Calculates total lines of code, comment lines, and empty lines across the repository.
Language breakdown: Reports file counts and code lines per programming language.
Ratio analysis: Shows code‑to‑comment ratios to assess documentation quality.
Use case: Quickly evaluate a new project's scale before onboarding or estimate effort for a refactor.

Quick Start

Run the codebase‑inspection skill to obtain a summary of lines of code, file counts, and language distribution for the target repository.

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 use this skill to analyze repositories, reporting total code lines, comment lines, empty lines, and file counts per programming language.

Can I check the code-to-comment ratio to assess documentation quality in my project?▼

Yes, you can check the code-to-comment ratio to assess documentation quality by analyzing the repository to compare the total lines of code against the total comment lines across multiple languages.

Do I need pygount installed to analyze codebase metrics like LOC and file counts?▼

Yes, you need the pygount command-line tool installed and access to the repository's file system to generate codebase metrics like LOC and language breakdowns.

What is the best way to evaluate a project's scale before onboarding or refactoring?▼

The best way to evaluate a project's scale before onboarding or refactoring is to generate a summary of lines of code, file counts, and language distribution to quickly assess overall size and composition.

Does this code analysis tool work with projects across multiple programming languages?▼

Yes, this code analysis tool works with projects across multiple languages, generating a language breakdown that reports file counts and code lines per specific programming language found in the repository.

Why does manual LOC counting fail for large codebases with mixed language files?▼

Manual LOC counting fails for large codebases because it is tedious and error-prone, whereas automated codebase inspection quickly calculates total lines, empty lines, and comment lines across mixed language files.