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code_review

Identify bugs, security issues, performance bottlenecks, and readability problems in code.

482|32|Updated Apr 3, 2026
Search Tags:#linting#performance#checklist#security#readability#static-analysis#code-review
One-click install
npx skills add https://github.com/lithos-ai/motus --skill code-review-lithos-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: code_review
Source: https://github.com/lithos-ai/motus/tree/main/examples/skills/skills/code_review
Command: npx skills add https://github.com/lithos-ai/motus --skill code-review-lithos-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps developers automatically review code for correctness, security, performance, and readability, reducing debugging time and improving code quality.

Core Features & Use Cases

  • Correctness checks to identify bugs and edge cases
  • Security and risk assessment, including potential injections
  • Performance and readability suggestions to simplify refactors
  • Companion reference to a formal review checklist for consistent results

Quick Start

Provide your code snippet or repository URL and ask for a structured code review report.

Frequently Asked Questions about code_review

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

FAQPage Schema
How do I automatically check my code for security vulnerabilities and performance issues?▼

To automatically check code for security vulnerabilities and performance issues, provide your code snippet or repository URL to receive a structured review report identifying bugs, injections, and bottlenecks.

What is static analysis and how does it help with code readability and refactoring?▼

Static analysis evaluates source code without execution to identify bugs, security risks, and readability problems, providing actionable suggestions that simplify refactoring and improve overall code quality.

Can I use a code review checklist for large refactors and small patches across different programming languages?▼

Yes, you can review both small patches and large refactors across various programming languages, as the skill applies a formal review checklist to enforce consistent, prioritized, and actionable fixes.

What's the best way to review a pull request for correctness and edge cases?▼

The best way to review a pull request for correctness and edge cases is to run a structured code review that checks for bugs, security issues, performance bottlenecks, and readability problems.

Does automated linting cover security and performance bottlenecks or just code formatting?▼

Automated linting in this context goes beyond formatting to report security vulnerabilities, performance bottlenecks, correctness bugs, and readability issues, following a prioritized review checklist.

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