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codebase-inspection

Analyze codebases with pygount to report LOC, language breakdown, and code-vs-comment ratios.

26|1|Updated Feb 25, 2026
Search Tags:#codebase#analysis#metrics#repository#languages#loc#pygount
One-click install
npx skills add https://github.com/TeamSloppy/Sloppy --skill codebase-inspection-teamsloppy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/TeamSloppy/Sloppy/tree/main/Sources/sloppy/Resources/Skills/codebase-inspection
Command: npx skills add https://github.com/TeamSloppy/Sloppy --skill codebase-inspection-teamsloppy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Quickly understand codebase composition by counting lines of code, identifying languages, and evaluating code-to-comment ratios across a repository.

Core Features & Use Cases

  • LOC and language breakdown: get per-language file counts and code vs. comment distribution.
  • Repository sizing for planning: estimate project scope for onboarding, audits, or refactors.
  • Use Case: When asked "how big is this repo?" quickly assemble a language profile and LOC totals to inform decisions.

Quick Start

Run this skill against a repository to generate a pygount-based report on languages, counts, and ratios.

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 repository to report per-language file counts and code-vs-comment distribution. This produces a structured summary of project scope and language diversity.

What is a code-to-comment ratio and when do I need to evaluate it?▼

A code-to-comment ratio measures the proportion of comment lines to executable code in a repository. You need to evaluate it when assessing documentation quality, maintenance effort, or onboarding complexity for software projects.

Do I need pygount installed to analyze codebase composition and LOC metrics?▼

Yes, you need pygount installed to analyze codebase composition and LOC metrics. The tool relies on this dependency to read the repository and produce a structured summary of languages, counts, and ratios.

Can I use repository sizing to estimate project scope for refactoring or audits?▼

Yes, you can use repository sizing to estimate project scope for refactoring or audits. By assembling a language profile and LOC totals, you quickly understand codebase composition to inform maintenance and onboarding decisions.

What's the best way to measure language diversity across large software repositories?▼

The best way to measure language diversity across large software repositories is to analyze codebases with pygount, which processes repositories of any size and reports per-language file counts alongside code-vs-comment ratios.

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