codebase-inspection

Analyze codebases for lines of code, language composition, and code-to-comment ratios using pygount.

Updated Apr 30, 2026
One-click install
npx skills add https://github.com/lxh755818-bot/obsidian-vault --skill codebase-inspection-lxh755818-bot
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/lxh755818-bot/obsidian-vault/tree/main/backup/skills/github/codebase-inspection
Command: npx skills add https://github.com/lxh755818-bot/obsidian-vault --skill codebase-inspection-lxh755818-bot

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a quick and efficient way to analyze codebases, offering insights into lines of code, language breakdown, and code-to-comment ratios.

Core Features & Use Cases

  • LOC Count: Get a total count of lines of code in a repository.
  • Language Breakdown: Understand the distribution of programming languages used.
  • Code-to-Comment Ratios: Assess the balance between code and comments.
  • Use Case: For a developer looking to understand the size and complexity of a new project, this Skill can quickly provide a summary that helps in making informed decisions.

Quick Start

Analyze the codebase at '/path/to/repo' with 'codebase-inspection'.

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 analyze language breakdown in a repository?

You can analyze language breakdown by scanning the codebase with this Skill, which utilizes pygount to determine the distribution of programming languages, lines of code, and code-to-comment ratios.

What's the best way to calculate code-to-comment ratios for a codebase audit?

Calculating code-to-comment ratios involves scanning the codebase with this Skill to assess the balance between code and comments, providing metrics ideal for codebase audits and performance assessment.

Do I need a Python environment to scan codebases for metrics?

Yes, a Python environment is required to scan codebases for metrics, as this Skill requires the pygount library for scanning and processing repository files.

Can I use pygount to understand the size and complexity of a new project?

Yes, you can use pygount through this Skill to understand new project size and complexity by quickly providing a summary of lines of code, language distribution, and comment ratios.

How do I get a total count of lines of code in a local directory?

To get a total count of lines of code, point this Skill at your local directory path, and it will instantly analyze the codebase to provide total lines of code and language composition.