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code-review

Analyze code changes for correctness, security, performance, and maintainability.

9|Updated Apr 11, 2026
Search Tags:#performance#security#maintainability#static-analysis#code-review#pull-requests
One-click install
npx skills add https://github.com/d0d012/claude-trim --skill code-review-d0d012
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/d0d012/claude-trim/tree/main/testdata/demo/plugins/dev-tools/skills/code-review
Command: npx skills add https://github.com/d0d012/claude-trim --skill code-review-d0d012

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Code reviews can miss critical issues, leaving security, performance, and maintainability risks in production. This skill provides a structured approach to evaluate changes and deliver actionable feedback with clear line references and suggested fixes.

Core Features & Use Cases

  • Checklist-driven evaluation across correctness, security, performance, and maintainability.
  • Actionable feedback with specific line references and recommended fixes.
  • Suitable for PR reviews and diffs across languages and frameworks to guide developers and reviewers.

Quick Start

Review the most recent diffs and focus on correctness, security, and performance to generate actionable feedback.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I review pull requests for security and performance issues?▼

To review pull requests for security and performance issues, analyze code changes using a checklist-driven workflow that evaluates correctness, risky patterns, and maintainability. This process highlights defects with specific line references and suggested fixes to guide developers.

What is the best way to provide actionable code review feedback on diffs?▼

Actionable code review feedback on diffs is generated by evaluating changes across correctness, security, performance, and maintainability. The review outputs specific line references and recommended fixes, ensuring developers receive precise, actionable improvements rather than vague comments.

Can I use static analysis to find maintainability risks across different programming languages?▼

Yes, you can identify maintainability risks across different programming languages and frameworks by applying a structured checklist to code changes. This static analysis approach evaluates diffs to detect risky patterns and maintainability issues early in the software development process.

Does a checklist-driven code review work for any framework and language?▼

A checklist-driven code review works across languages and frameworks by analyzing code changes for correctness, security, performance, and maintainability. It applies to pull requests and diffs in diverse software projects, helping reviewers identify defects and risky patterns early.

How to identify risky patterns and defects early in the code review process?▼

To identify risky patterns and defects early, analyze recent diffs using a structured evaluation checklist focusing on correctness, security, performance, and maintainability. This workflow highlights issues with clear line references and recommended fixes, catching risks before production deployment.

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