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codebase-inspection

Analyze software repositories with pygount to calculate lines of code and language distribution.

Updated May 5, 2026
Search Tags:#code analysis#codebase#metrics#repository#loc#pygount
One-click install
npx skills add https://github.com/iani-kuli/harness_bro --skill codebase-inspection-iani-kuli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/iani-kuli/harness_bro/tree/main/.claude/skills/ported/codebase-inspection
Command: npx skills add https://github.com/iani-kuli/harness_bro --skill codebase-inspection-iani-kuli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pygount.

What problem does it solve?

This skill resolves the difficulty of manually auditing large repositories to understand their scale, language composition, and code-to-comment ratios.

Core Features & Use Cases

  • Language Breakdown: Automatically identifies the distribution of programming languages within a project.
  • Metric Analysis: Calculates lines of code (LOC) and distinguishes between executable code and documentation.
  • Use Case: Use this when you need to quickly assess the complexity of a new codebase or generate a summary report for a project audit.

Quick Start

Ask the assistant to analyze the current directory to provide a full breakdown of lines of code and language statistics.

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 distribution in a repository?▼

This skill analyzes repository size and metrics by scanning directories with pygount to calculate lines of code, identify language distribution, and measure code-to-comment ratios.

How do I generate a codebase summary report for a project audit?▼

You can generate a project audit report by running this skill against your directory to output lines of code metrics, language breakdowns, and documentation ratios.

Do I need pygount installed to calculate lines of code in a directory?▼

Yes, the pygount package must be installed in your environment to perform accurate file-by-file scanning and summary generation for lines of code calculation.

Does this code analysis tool distinguish between executable code and documentation?▼

Yes, the skill distinguishes between executable code and documentation by calculating documentation ratios to help assess technical debt and project complexity.

Can I use this to assess technical debt across various programming languages?▼

Yes, the skill supports technical debt assessment across various programming languages by identifying language distribution and calculating code-to-comment ratios.

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