codebase-inspection

Inspect codebases with pygount metrics for lines of code and language composition.

Updated Sep 28, 2021

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

Ready to run

npx skills add https://github.com/XyHalcyon/config-files --skill codebase-inspection-xyhalcyon

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: codebase-inspection
Source: https://github.com/XyHalcyon/config-files/tree/main/hermes/skills/github/codebase-inspection
Command: npx skills add https://github.com/XyHalcyon/config-files --skill codebase-inspection-xyhalcyon

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a rapid and efficient way to analyze codebases, delivering insights into lines of code, language distribution, and other key metrics.

Core Features & Use Cases

LOC and Language Breakdown: Offers a comprehensive view of the codebase, showing the total number of lines of code and the distribution of programming languages.
Codebase Size and Composition: Assists in understanding the size and composition of a codebase, useful for project planning and optimization.
Code vs. Comment Ratios: Helps in identifying the ratio of code to comments, which can be an indicator of code readability and maintainability.
Use Case: For a project lead reviewing the codebase of a new software project, this Skill can quickly provide a high-level overview of the project's codebase health.

Quick Start

Run the codebase-inspection skill on your project directory to get a summary of the codebase metrics.

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 my project?▼

To count lines of code and analyze language breakdown, you can use this Skill to inspect your codebase with pygount, generating detailed metrics on total lines, language distribution, and code composition.

What is the best way to measure codebase size and health for project planning?▼

Measuring codebase size and health involves analyzing lines of code and language distribution. This Skill provides a rapid overview of codebase composition and code-comment ratios to help assess overall project maintainability.

How do I calculate code-to-comment ratios for a software project?▼

Calculating code-to-comment ratios requires analyzing source files to compare documentation against executable lines. This Skill uses pygount to automatically identify and report these readability and maintainability indicators.

Do I need pygount installed to analyze codebase metrics?▼

Yes, you need pygount installed, as it is a required dependency. The Skill relies on pygount to execute its analysis scripts and extract the codebase metrics like lines of code and language composition.

Can I get a quick language breakdown for a large codebase?▼

Yes, you can get a quick language breakdown for a large codebase. The Skill is designed to efficiently analyze project directories and deliver a comprehensive view of language distribution and total lines of code.

What does lines of code analysis tell me about codebase health?▼

Lines of code analysis reveals codebase health by highlighting project size, language composition, and code-comment ratios. These metrics offer a high-level overview of readability and maintainability for developers and project leads.