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clean-code-ch04-comments

Detect and classify problematic source-code comments during code reviews.

4|Updated Mar 28, 2026
Search Tags:#linting#documentation#refactoring#static-analysis#coding-standards#code-review#comment-quality
One-click install
npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch04-comments
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: clean-code-ch04-comments
Source: https://github.com/hatlesswizard/clean-code-skills/tree/main/ch04-comments
Command: npx skills add https://github.com/hatlesswizard/clean-code-skills --skill clean-code-ch04-comments

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comments are often the source of confusion and maintenance cost when they clutter code, mislead readers, or repeat what the code already expresses. This skill helps enforce clean-code comment practices by detecting redundant, misleading, mandated, journal, noise, and commented-out code, and by validating good comment patterns.

Core Features & Use Cases

  • Detect and classify problematic comment patterns including mumbling, redundancy, misdirection, mandated boilerplate, journal-style notes, noisy commentary, and commented-out code.
  • Recommend concrete improvements and align comments with actual intent, supporting refactors and PR reviews.
  • Integrate into code review workflows and CI checks to surface violations early during development and onboarding.

Quick Start

Run the skill against your repository to surface comment quality violations and receive recommended cleanup actions.

Frequently Asked Questions about clean-code-ch04-comments

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

FAQPage Schema
How do I detect redundant or misleading comments during a code review?▼

Detect redundant or misleading comments during code review by running a rule-based detector against your repository to identify BAD comment patterns like redundancy, misdirection, and noise, then outputting cleanup recommendations and patch suggestions.

What is the best way to audit commented-out code and journal-style notes in source files?▼

Auditing commented-out code and journal-style notes involves scanning source files with a static analysis rule set that classifies these problematic patterns and provides concrete refactoring recommendations to improve maintainability.

Can I enforce clean-code comment standards for inline comments and Javadoc across different languages?▼

You can enforce clean-code comment standards across languages that use inline comments and Javadoc by applying a rule-based detector set that highlights mandated boilerplate, noise, and other violations during ongoing maintenance.

How do I integrate comment quality checks into my CI pipeline and PR workflows?▼

Integrate comment quality checks into CI pipelines and PR workflows by running the skill against your repository to surface violations early, generating recommended cleanup actions and patch suggestions before merge.

What types of comment patterns should I look for when refactoring for code clarity?▼

When refactoring for code clarity, look for mumbling, redundancy, misdirection, mandated boilerplate, journal-style notes, noisy commentary, and commented-out code, validating them against GOOD comment patterns to align comments with actual intent.

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