codebase-inspection

Name: codebase-inspection
Availability: InStock
Author: Julius

Analyze codebases with pygount to calculate LOC and language composition.

Updated Apr 15, 2026

Search Tags:#code analysis #language analysis #pygount #codebase metrics #lines of code

Ready to run

npx skills add https://github.com/juliuss1907/knowledge-base --skill codebase-inspection-juliuss1907

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/juliuss1907/knowledge-base/tree/main/.hermes/skills/github/codebase-inspection
Command: npx skills add https://github.com/juliuss1907/knowledge-base --skill codebase-inspection-juliuss1907

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill analyzes codebases to provide insights on lines of code, language breakdown, file counts, and code-comment ratios, enhancing understanding of codebase size and composition.

Core Features & Use Cases

Lines of Code (LOC) Count: Quickly get a count of all lines in the codebase.
Language Breakdown: Identify the programming languages used and their distribution within the codebase.
File Counts: Understand the number of files across different languages and other types.
Code-Comment Ratios: Evaluate the balance between code and documentation.
Use Case: Ideal for assessing the health and maintainability of a codebase during project planning or performance reviews.

Quick Start

Use the codebase-inspection skill to get a summary of LOC and language breakdown for your project.

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 breakdown for my project?▼

To calculate lines of code and language breakdown, this Skill analyzes your codebase using pygount to generate metrics like LOC, language composition, and file counts from your project's file system.

What is the best way to analyze codebase health and maintainability metrics?▼

Analyzing codebase health involves evaluating code-comment ratios, file counts, and language distribution. This Skill generates these statistics using pygount to help you assess project maintainability during planning or reviews.

Do I need pygount installed to analyze codebase metrics?▼

Yes, you need pygount installed. This Skill requires the pygount tool to perform line counting and file analysis to accurately calculate code metrics and language composition from your codebase.

Can I get code-comment ratios for different programming languages in my codebase?▼

Yes, you can get code-comment ratios across different programming languages. The Skill analyzes your codebase to evaluate the balance between code and documentation, providing a language breakdown and file counts.

When should I use a codebase inspection tool for project management?▼

You should use a codebase inspection tool during project planning or performance reviews to understand codebase size and composition, generating statistics like LOC and language distribution to assess overall project health.