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Code Review
Review Python code for quality, security, and best practices
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Added 12/19/2025
data-aipythongosqlcode-reviewsecuritydocumentation
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$
openskills install vstorm-co/pydantic-deepagentsFiles
SKILL.md
---
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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