codebase-inspection

Analyze codebase metrics with pygount for lines of code and language composition.

Updated Jun 13, 2026

Search Tags:#code analysis #pygount #language breakdown #lines of code #repository metrics

Ready to run

npx skills add https://github.com/srivtx/supercharger-opencode --skill codebase-inspection-srivtx

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/srivtx/supercharger-opencode/tree/main/github/codebase-inspection
Command: npx skills add https://github.com/srivtx/supercharger-opencode --skill codebase-inspection-srivtx

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps you quickly understand the size and composition of your codebase, including lines of code, file counts, and language breakdowns.

Core Features & Use Cases

LOC Analysis: Count the lines of code across your repository.
Language Breakdown: View a summary of programming languages used.
Codebase Size: Get an overview of the repository's file counts.
Use Case: Before a code review, use this Skill to quickly assess the complexity and size of a new codebase.

Quick Start

Inspect the codebase located at '/path/to/repo'.

Frequently Asked Questions about codebase-inspection

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

FAQPage Schema

How do I get lines of code and language breakdown metrics for a repository?▼

To get lines of code and language breakdown metrics, you can analyze the repository using pygount. This provides file counts, language composition, and total lines of code to help evaluate repository size and structure without manual analysis.

What is the best way to assess codebase size before a code review?▼

The best way to assess codebase size before a review is running an automated code analysis script. It quickly counts lines of code and identifies the programming languages used, giving you an immediate overview of repository complexity.

Can I use pygount to analyze the language composition of my codebase?▼

Yes, you can use pygount to analyze the language composition of your codebase. It scans the repository to provide a detailed language breakdown alongside file counts and total lines of code metrics.

Does this code analysis approach work for evaluating any directory path?▼

Yes, this code analysis approach works for evaluating any directory path. You simply provide the target repository path, and the script processes the directory to extract lines of code, file counts, and language metrics.

How do I count lines of code across my repository without manual analysis?▼

You can count lines of code across your repository by executing an analysis script that leverages pygount. It automates the extraction of repository metrics including total lines of code, file counts, and language breakdowns.