Does this skill support Python-specific standards?

Yes, it includes specialized checks for Python type hints, specific exception handling, context manager usage, f-string preferences, and ruff linting compliance.

What security checks are included in the review?

The review scans for exposed credentials/API keys, implements input validation checks, ensures file paths are sanitized, and verifies that external commands are safely constructed to prevent injection.

How is the code review feedback organized?

Feedback is delivered in a structured format categorized by severity: Critical (must-fix bugs and security issues), Warnings (quality and edge cases), and Suggestions (style and optimizations).

How does this skill identify which files to review?

The skill runs the `git diff` command to identify exactly which files have been modified in the current workspace, ensuring the review is focused and relevant.

Advanced Code Review

Name: Advanced Code Review
Author: jcdoll

byjcdoll

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Collaboration Tools

Performs automated, multi-layered code inspections to ensure security, maintainability, and adherence to Python best practices.

About

The Code Review skill enables Claude to conduct professional-grade audits of your codebase by analyzing git diffs and specific file changes. It follows a rigorous checklist covering critical security vulnerabilities, architectural quality, and Python-specific optimizations like type hinting and context management. By providing structured feedback categorized by severity—Critical, Warning, and Suggestion—this skill helps developers catch bugs early, eliminate technical debt, and maintain a consistent standard across complex projects.

Key Features

1 GitHub stars
Comprehensive security auditing for secrets, injection, and path traversal
Automated git diff analysis to identify and focus on changed code
Structured feedback reports organized by severity and priority
Python-specific optimization checks including type hints and f-strings
Enforcement of DRY principles and single-responsibility patterns

Use Cases

Pre-commit audits to identify security leaks or logic flaws before pushing code
Automated peer reviews to ensure pull requests meet project-wide standards
Modernizing legacy Python codebases with modern syntax and type safety

About

Key Features

1 GitHub stars
Comprehensive security auditing for secrets, injection, and path traversal
Automated git diff analysis to identify and focus on changed code
Structured feedback reports organized by severity and priority
Python-specific optimization checks including type hints and f-strings
Enforcement of DRY principles and single-responsibility patterns

Use Cases

Pre-commit audits to identify security leaks or logic flaws before pushing code
Automated peer reviews to ensure pull requests meet project-wide standards
Modernizing legacy Python codebases with modern syntax and type safety