code-review

Automate Python code review with style checking and linting.

18|8|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/honysyang/skill-security-scanner --skill code-review-honysyang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/honysyang/skill-security-scanner/tree/main/malicious-skills-research/code-review
Command: npx skills add https://github.com/honysyang/skill-security-scanner --skill code-review-honysyang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenges of manual code reviews by automating style checking and linting, ensuring code quality and consistency.

Core Features & Use Cases

  • Style Checking: Automates the detection of common style issues in Python code.
  • Linting: Identifies potential bugs, security issues, and performance problems.
  • Use Case: For developers who need to quickly review code for style and potential issues before merging it into the main codebase.

Quick Start

Use the code-review skill to check the style of the provided Python code snippet.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate Python code review and style checking?

You can automate Python code review by applying this Skill to detect common style issues and perform linting on your snippets, ensuring code quality and consistency before merging.

What is the best way to lint Python code for potential bugs before merging?

Linting Python code before merging is best handled by automating the detection of potential bugs, security issues, and performance problems to maintain consistency across the codebase.

Do I need external libraries to perform style checking on Python code?

Style checking requires only standard Python libraries for syntax and style analysis, so you do not need to install external dependencies to identify common style issues.

How does automated linting identify security issues in Python code?

Automated linting identifies security issues by analyzing the Python code structure to detect potential bugs and performance problems, streamlining the manual review process.

Can I use this for code review on a full project or just code snippets?

This Skill is designed for developers who need to quickly review provided Python code snippets for style and potential issues before merging them into the main codebase.