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Rheasilvia
RheasilviaCOMMUNITY
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codebase-inspection

Analyze software repositories with pygount to calculate lines of code, language distribution, and code-to-comment ratios.

Updated Jun 25, 2026
Search Tags:#code analysis#codebase#metrics#repository#loc#pygount
One-click install
npx skills add https://github.com/Rheasilvia/hermes-desktop --skill codebase-inspection-rheasilvia
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/Rheasilvia/hermes-desktop/tree/main/skills/github/codebase-inspection
Command: npx skills add https://github.com/Rheasilvia/hermes-desktop --skill codebase-inspection-rheasilvia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pygount.

What problem does it solve?

This Skill solves the difficulty of manually auditing large repositories to understand their size, language distribution, and documentation density.

Core Features & Use Cases

  • Language Breakdown: Automatically identify the programming languages present in a repository and their respective file counts.
  • Metric Reporting: Calculate lines of code (LOC) versus comment lines to assess project maturity and documentation quality.
  • Use Case: Use this tool when onboarding to a new project to quickly generate a summary report of the codebase size and composition.

Quick Start

Run the codebase inspection skill on the current directory to generate a summary report of all language and code metrics.

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 language distribution in a repository?▼

To calculate lines of code and language distribution in a repository, you can analyze the codebase to automatically identify programming languages present and their respective file counts using the pygount utility.

What is codebase composition analysis used for?▼

Codebase composition analysis is used for auditing large repositories to understand their size, language distribution, and documentation density by calculating lines of code versus comment lines.

Do I need pygount installed to analyze codebase metrics?▼

Yes, you need the pygount package installed in your environment to perform file-system traversal and analyze codebase metrics, as the Skill relies on this dependency to calculate code composition.

Can I assess project documentation quality by measuring code-to-comment ratios?▼

Yes, you can assess project documentation quality by measuring code-to-comment ratios, as the analysis calculates lines of code versus comment lines to help evaluate project maturity and documentation density.

What is the best way to generate a summary report of codebase size for project onboarding?▼

The best way to generate a summary report of codebase size for project onboarding is to run an inspection skill on the current directory, which outputs a summary of all language and code metrics.

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