ln-613-code-comments-auditor

Audit code comments and docstrings, then output a Markdown findings report.

Updated Mar 14, 2026

Search Tags:#audit #quality #comments #docstrings #code #report

Ready to run

npx skills add https://github.com/0xtaoist/taogate --skill ln-613-code-comments-auditor-0xtaoist

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ln-613-code-comments-auditor
Source: https://github.com/0xtaoist/taogate/tree/main/ln-613-code-comments-auditor
Command: npx skills add https://github.com/0xtaoist/taogate --skill ln-613-code-comments-auditor-0xtaoist

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies and reports issues in code comments to improve clarity, maintainability, and compliance across projects.

Core Features & Use Cases

Audits inline comments and docstrings for WHY vs WHAT, density, and freshness.
Produces structured findings with severity and file/line location, plus recommendations.
Integrates into the Ln-610 coordinator workflow to coordinate across teams.

Quick Start

Run the Code Comments Auditor on your codebase to generate a findings report with severity, location, and recommendations.

Frequently Asked Questions about ln-613-code-comments-auditor

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

FAQPage Schema

How do I audit code comments and docstrings for quality and compliance?▼

To audit code comments and docstrings, run an auditor that analyzes inline comments across your codebase to evaluate clarity, consistency, and compliance. It generates a Markdown report with severity, file and line location, and actionable recommendations for each violation.

What is code comment quality evaluation based on when checking a codebase?▼

Code comment quality evaluation assesses six quality categories, analyzing inline comments and docstrings for WHY versus WHAT context, density, and freshness. It reports findings with specific severity levels and locations to improve maintainability.

Can I audit code comments across any tech stack or programming language?▼

Yes, you can audit code comments across any tech stack. The auditor applies language-agnostic analysis to inline comments and docstrings to evaluate clarity, consistency, and compliance without requiring specific framework dependencies.

How do I generate a code comment findings report with severity and file locations?▼

You generate a code comment findings report by running the auditor and configuring an output path. It produces a structured Markdown file containing severity, file and line locations, and actionable recommendations for each identified violation.

What are common code comment issues found during a codebase audit?▼

Common code comment issues include lacking WHY versus WHAT explanations, poor density, and staleness or lack of freshness. The auditor evaluates these across six quality categories to identify compliance violations and recommend improvements.

How do I integrate code comment auditing into a team coordinator workflow?▼

You integrate code comment auditing into a team coordinator workflow by running it within the Ln-610 coordinator workflow. This coordinates comment quality and compliance findings across teams to improve overall codebase maintainability.