python-code-review-and-linting

Run Ruff linting, security pattern checks, and mypy type validation on Python code.

2|1|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/Agentient/vibekit --skill python-code-review-and-linting
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-code-review-and-linting
Source: https://github.com/Agentient/vibekit/tree/main/plugins/quality-tools/skills/python-code-review-and-linting
Command: npx skills add https://github.com/Agentient/vibekit --skill python-code-review-and-linting

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Python codebases often suffer from inconsistent quality, security risks, and typing errors that hinder maintainability. This skill provides a structured approach to enforce coding standards, catch anti-patterns, and ensure type correctness through Ruff, security pattern checks, and mypy.

Core Features & Use Cases

  • Linting & style: Configure Ruff to enforce consistent coding conventions and reduce code smells.
  • Security & anti-pattern checks: Identify and remediate insecure patterns and common Python anti-patterns.
  • Type checking: Validate type hints with mypy to catch type errors early.
  • Code review guidance: Provide actionable remediation guidance and best-practice patterns for Python code review.

Quick Start

Run Ruff linting across your Python project and apply the recommended fixes for lint rules, security patterns, and type errors.

Frequently Asked Questions about python-code-review-and-linting

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

FAQPage Schema
How do I automate Python code review and enforce linting rules?

Automate Python code review by configuring Ruff to enforce linting rules, security pattern checks, and mypy type validation. This integration detects anti-patterns and typing issues while providing clear remediation guidance for consistent code quality across your repository.

What is the best way to catch security anti-patterns and type errors in Python?

The best way to catch security anti-patterns and type errors in Python is combining Ruff for linting and mypy for type checking. This approach identifies insecure patterns and validates type hints early, yielding reproducible configurations and actionable best-practice remediation.

How do I configure Ruff and mypy for a large Python repository?

Configure Ruff and mypy for large Python repositories by establishing reproducible configurations that target lint violations, security patterns, and type errors. This structured setup scales from small scripts to large codebases, ensuring consistent quality assessment and clear remediation steps.

Can I use Ruff and mypy together for Python type validation and style enforcement?

Yes, you can use Ruff and mypy together for Python type validation and style enforcement. Ruff handles linting conventions and code smells, while mypy validates type hints to catch type errors, together providing comprehensive code review guidance and anti-pattern detection.

Why does my Python codebase suffer from inconsistent quality and typing errors?

Python codebases suffer from inconsistent quality and typing errors due to lacking structured linting, security pattern checks, and type validation. Integrating Ruff and mypy resolves this by enforcing coding standards, catching anti-patterns, and ensuring type correctness across projects.