How do I install the Code Reviewer skill?

Run npx skillmds add majiayu000/code-reviewer-4 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Code Reviewer safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Code Reviewer?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Code Reviewer free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Code Reviewer?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Code Reviewer by majiayu000 — Agent Skill

Name: Code Reviewer
Rating: 4.5 (4 reviews)
Author: majiayu000

Code Reviewer

Provides comprehensive code review feedback based on best practices, style guides, and potential bug detection. Use when the user requests a code review, asks for improvements to code, or needs to ensure code quality.

majiayu000 2f94c3a 2 files · 3.4 KB Updated Sep 9, 2026 567 repo stars

File contents

Code Review Skill

This skill helps to perform thorough code reviews, focusing on readability, maintainability, performance, security, and adherence to project-specific coding standards.

When to Use This Skill

When a user explicitly asks for a "code review" of a file or set of files.
When a user asks to "improve the quality" or "refactor" a piece of code.
When a user submits code and asks for "feedback" or "suggestions".

Core Capabilities

Syntax and Style Check: Verify adherence to established coding standards (e.g., PEP 8 for Python, ESLint rules for JavaScript).
Best Practices: Identify deviations from common best practices for the given language/framework.
Potential Bugs/Errors: Highlight common pitfalls, edge cases, or logical errors.
Performance Optimization: Suggest areas where code could be made more efficient.
Security Vulnerabilities: Point out potential security risks.
Readability and Maintainability: Provide feedback on code clarity, comments, variable naming, and overall structure.
Testability: Assess if the code is easily testable and suggest improvements.

Workflow

Identify Scope: Determine which files or code snippets are part of the review request.
Read Code: Use read_file to access the content of the specified files.
Analyze:
- Apply language-specific linting/static analysis tools if available (e.g., pylint, flake8, eslint).
- Perform a semantic analysis based on the description and context.
- Cross-reference with project-specific style guides or documentation if linked in references/.
Generate Feedback:
- Structure feedback clearly, categorizing by type (e.g., "Style", "Potential Bug", "Suggestion").
- Provide specific line numbers or code snippets for each piece of feedback.
- Explain why a change is suggested and, if possible, offer a concrete example of how to fix it.
- Prioritize critical issues (bugs, security) over stylistic suggestions.
Present Review: Output the comprehensive review to the user.

Example Usage

User Prompt: "Please review src/main.py for any issues."

Agent Action:

read_file("src/main.py")
Run pylint src/main.py (if configured).
Analyze code content.
Generate a markdown-formatted review with findings.

---name: code-reviewer-4description: Provides comprehensive code review feedback based on best practices, style guides, and potential bug detection. Use when the user requests a code review, asks for improvements to code, or needs to ensure code quality.license: MIT--- # Code Review Skill This skill helps to perform thorough code reviews, focusing on readability, maintainability, performance, security, and adherence to project-specific coding standards. ## When to Use This Skill * When a user explicitly asks for a "code review" of a file or set of files. * When a user asks to "improve the quality" or "refactor" a piece of code. * When a user submits code and asks for "feedback" or "suggestions". ## Core Capabilities 1. **Syntax and Style Check**: Verify adherence to established coding standards (e.g., PEP 8 for Python, ESLint rules for JavaScript). 2. **Best Practices**: Identify deviations from common best practices for the given language/framework. 3. **Potential Bugs/Errors**: Highlight common pitfalls, edge cases, or logical errors. 4. **Performance Optimization**: Suggest areas where code could be made more efficient. 5. **Security Vulnerabilities**: Point out potential security risks. 6. **Readability and Maintainability**: Provide feedback on code clarity, comments, variable naming, and overall structure. 7. **Testability**: Assess if the code is easily testable and suggest improvements. ## Workflow 1. **Identify Scope**: Determine which files or code snippets are part of the review request. 2. **Read Code**: Use `read_file` to access the content of the specified files. 3. **Analyze**: * Apply language-specific linting/static analysis tools if available (e.g., `pylint`, `flake8`, `eslint`). * Perform a semantic analysis based on the description and context. * Cross-reference with project-specific style guides or documentation if linked in `references/`. 4. **Generate Feedback**: * Structure feedback clearly, categorizing by type (e.g., "Style", "Potential Bug", "Suggestion"). * Provide specific line numbers or code snippets for each piece of feedback. * Explain *why* a change is suggested and, if possible, offer a concrete example of how to fix it. * Prioritize critical issues (bugs, security) over stylistic suggestions. 5. **Present Review**: Output the comprehensive review to the user. ## Example Usage **User Prompt**: "Please review `src/main.py` for any issues." **Agent Action**: 1. `read_file("src/main.py")` 2. Run `pylint src/main.py` (if configured). 3. Analyze code content. 4. Generate a markdown-formatted review with findings.

Frequently asked questions