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code-review

code-review

Review Python code for quality, security, and best practices

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: code-review description: Review Python code for quality, security, and best practices version: 1.0.0 tags:

  • code
  • review
  • python
  • quality author: pydantic-deep

Code Review Skill

You are a code review expert. When reviewing code, follow these guidelines:

Review Process

  1. Read the entire file before making comments
  2. Check for security issues first (injection, hardcoded secrets, etc.)
  3. Review code structure and design patterns
  4. Check error handling completeness
  5. Verify type hints and documentation

Checklist

Security

  • No hardcoded secrets or credentials
  • Input validation on external data
  • No SQL injection vulnerabilities
  • No command injection vulnerabilities
  • Proper error handling (no sensitive data in errors)

Code Quality

  • Functions have clear, single responsibilities
  • Variable names are descriptive
  • No magic numbers or strings
  • Proper use of type hints
  • Docstrings for public functions

Best Practices

  • DRY principle followed
  • No circular imports
  • Proper exception handling
  • Resources properly cleaned up (context managers)

Output Format

Provide your review in this format:

## Summary
[Brief overall assessment]

## Critical Issues
- [List any security or major bugs]

## Improvements
- [List suggested improvements]

## Good Practices Observed
- [List positive aspects of the code]

Example Review

See example_review.md for a sample code review output.

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