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AlexKoncept
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codebase-inspection

Analyze repository codebases to generate LOC, language breakdown, and code-vs-comment metrics.

Updated Aug 23, 2026
Search Tags:#codebase#metrics#repository#static-analysis#code-analysis#languages#pygount
One-click install
npx skills add https://github.com/AlexKoncept/omnia-hub --skill codebase-inspection-alexkoncept
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/AlexKoncept/omnia-hub/tree/main/HERMES/skills/github/codebase-inspection
Command: npx skills add https://github.com/AlexKoncept/omnia-hub --skill codebase-inspection-alexkoncept

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Codebase Inspection with pygount solves the problem of quantifying and understanding repository composition by computing LOC, language distribution, file counts, and code-vs-comment ratios.

Core Features & Use Cases

  • Basic Summary: Get a full language breakdown with file counts, code lines, and comment lines.
  • Folder Exclusions: Exclude irrelevant directories to tailor results for large repositories.
  • Language Filtering: Focus on specific languages to analyze targeted parts of the codebase.
  • Output Formats: Generate summary or JSON outputs for programmatic use.

Quick Start

Run pygount on the target repository to generate a codebase report.

Frequently Asked Questions about codebase-inspection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze a codebase to get LOC and language breakdown metrics?▼

To analyze a codebase for LOC and language breakdown metrics, run pygount on the target repository to generate a summary report containing code lines, comment lines, and file counts across various programming languages.

What is the best way to exclude irrelevant folders when running a repository code analysis?▼

The best way to exclude irrelevant folders during repository code analysis is to apply folder exclusions, which tailors the pygount results to skip non-essential directories and focus on targeted parts of large repositories.

Does pygount support JSON output for programmatic codebase analysis consumption?▼

Yes, pygount supports JSON output for programmatic codebase analysis consumption, allowing you to generate structured data outputs alongside standard summary reports for automated audits and quality assessments.

Can I filter static analysis metrics to focus on specific languages in my codebase?▼

Yes, you can filter static analysis metrics to focus on specific languages in your codebase, enabling targeted analysis of individual language components within mixed-language software projects.

Do I need pygount installed to perform code-vs-comment ratio analysis on a repository?▼

Yes, you need pygount installed to perform code-vs-comment ratio analysis on a repository, as it is the required dependency for computing these specific codebase metrics and generating reports.

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