Can it detect specific Python security vulnerabilities?

Yes, it specifically scans for patterns like hardcoded secrets, unsafe pickle loading, use of eval, and assertions in production code that can lead to security risks.

What common Python anti-patterns does this skill identify?

It proactively flags issues such as mutable default arguments, unused loop variables, star imports, and the use of bare except clauses.

How does it help with mypy type errors?

The skill analyzes your code for type inconsistencies and provides specific fixes to satisfy mypy strict checking, ensuring type safety throughout your application.

How does this skill use Ruff for linting?

It configures and executes Ruff with specific rulesets including Error, Pyflakes, Bugbear, and Security (E, F, B, S, I) to catch bugs and stylistic issues automatically.

Python Code Review & Linting

Name: Python Code Review & Linting
Author: Agentient

byAgentient

0•

Security & Testing

Enhances Python code quality through automated Ruff linting, security vulnerability detection, and robust mypy type checking.

This skill integrates advanced Python static analysis into Claude, providing real-time feedback on code quality, security risks, and type consistency. It automates the configuration of Ruff, identifies critical security flaws like hardcoded secrets or unsafe deserialization, and enforces modern Python best practices. By catching common anti-patterns like mutable default arguments and resolving complex mypy errors, it ensures your codebase remains maintainable, secure, and production-ready.

Key Features

01Comprehensive mypy type error resolution and type hinting guidance

020 GitHub stars

03Automated Ruff configuration and linting rule enforcement

04Streamlined code review workflows following industry-standard best practices

05Identification of common Python anti-patterns and performance bottlenecks

06Detection and remediation of critical security vulnerabilities (S-rules)

Use Cases

01Setting up standardized linting and formatting configurations for new or existing repositories

02Refactoring legacy Python code to eliminate technical debt, anti-patterns, and type inconsistencies

03Conducting deep security audits for Python applications to find vulnerabilities like unsafe eval or hardcoded secrets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit python-code-review-and-linting

For use in Claude.ai and ChatGPT

Key Features

01Comprehensive mypy type error resolution and type hinting guidance

020 GitHub stars

03Automated Ruff configuration and linting rule enforcement

04Streamlined code review workflows following industry-standard best practices

05Identification of common Python anti-patterns and performance bottlenecks

06Detection and remediation of critical security vulnerabilities (S-rules)

Use Cases

01Setting up standardized linting and formatting configurations for new or existing repositories

02Refactoring legacy Python code to eliminate technical debt, anti-patterns, and type inconsistencies

03Conducting deep security audits for Python applications to find vulnerabilities like unsafe eval or hardcoded secrets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agentient/vibekit python-code-review-and-linting

For use in Claude.ai and ChatGPT