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codebase-inspection

Analyze codebases with pygount to count lines, language composition, and code-comment ratios.

Updated Mar 8, 2026
Search Tags:#code analysis#LOC#pygount#language breakdown#repository metrics#codebase stats
One-click install
npx skills add https://github.com/helix4u/hermes-agent-private --skill codebase-inspection-helix4u
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/helix4u/hermes-agent-private/tree/main/skills/github/codebase-inspection
Command: npx skills add https://github.com/helix4u/hermes-agent-private --skill codebase-inspection-helix4u

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the process of analyzing codebases to understand their size, composition, and quality, saving developers time on manual code reviews and project estimations.

Core Features & Use Cases

  • Lines of Code (LOC) Counting: Accurately count total lines of code across various languages.
  • Language Breakdown: Provides a detailed percentage and count of files per programming language.
  • Code vs. Comment Ratio: Helps assess code readability and maintainability.
  • Use Case: Before integrating a new library, use this Skill to quickly gauge its size and complexity by analyzing its codebase.

Quick Start

Use the codebase-inspection skill to get a summary of lines of code and language breakdown for the repository located at '/path/to/your/repo'.

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, analyze the target repository path to calculate total LOC, file counts, and percentage composition per programming language.

How do I calculate code-to-comment ratios to assess codebase quality?▼

Calculate code-to-comment ratios by running a codebase analysis on your repository directory, which evaluates code readability and maintainability by comparing functional lines against comment lines.

Do I need to install pygount to analyze codebase metrics?▼

Yes, you need to install pygount to analyze codebase metrics, as the Skill relies on this dependency to perform deterministic line counting and language composition analysis.

Can I use codebase analysis for project scoping and repository size estimation?▼

Yes, you can use codebase analysis for project scoping and repository size estimation, as it provides metrics like total lines of code and language distribution to help gauge project complexity.

What is the best way to gauge a library's complexity before integrating it?▼

The best way to gauge a library's complexity before integration is to analyze its codebase to measure size, language breakdown, and code-to-comment ratios for a quick quality assessment.

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