ai-agent-lint

Lint AI Agent Python projects with Ruff for security and standards.

33|5|Updated Jan 2, 2026
One-click install
npx skills add https://github.com/y1feng200156/ham-study --skill ai-agent-lint
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-agent-lint
Source: https://github.com/y1feng200156/ham-study/tree/main/.agent/skills/ai-agent-lint
Command: npx skills add https://github.com/y1feng200156/ham-study --skill ai-agent-lint

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires ruff, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill addresses the challenge of maintaining high code quality and security standards across diverse AI Agent projects, preventing common errors and vulnerabilities.

Core Features & Use Cases

  • Automated Code Linting: Utilizes Ruff for fast and comprehensive Python code analysis.
  • AI Agent Specific Checks: Includes checks for prompt safety, hardcoded secrets, and async patterns.
  • Security Vulnerability Detection: Identifies potential risks like SQL injection and unsafe deserialization.
  • Use Case: Before deploying a new AutoGen agent, run this skill to automatically catch any PEP 8 violations, detect hardcoded API keys, and ensure proper error handling, leading to more robust and secure agents.

Quick Start

Use the ai-agent-lint skill to check the code quality of the current project directory.

Frequently Asked Questions about ai-agent-lint

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

FAQPage Schema
How do I lint Python code for AI agent projects using Ruff?

To lint Python code for AI agent projects using Ruff, you can run an automated code quality check on your project directory to identify PEP 8 violations and AI-specific pattern errors. This process requires Python 3.10+ and Ruff installation.

What security vulnerabilities can automated Python linting detect in LangChain or AutoGen agents?

Automated Python linting detects security vulnerabilities in LangChain or AutoGen agents like SQL injection and unsafe deserialization. It also identifies hardcoded API keys and checks for prompt safety to ensure robust agent deployment.

Does Ruff support async pattern checks for CrewAI framework projects?

Yes, Ruff supports async pattern checks for CrewAI framework projects through this automated linting skill. It analyzes Python code to catch AI-specific pattern errors, ensuring proper async handling and security across supported frameworks.

Why does my Python code quality check fail on hardcoded secrets in AI agents?

Your Python code quality check fails on hardcoded secrets in AI agents because the linter is configured to detect hardcoded API keys and prompt safety issues. Removing the secrets or using environment variables resolves this security vulnerability detection.

What is the best way to ensure code quality before deploying an AutoGen agent?

The best way to ensure code quality before deploying an AutoGen agent is to run an automated Ruff analysis on your project directory. This catches PEP 8 violations, detects hardcoded API keys, and verifies proper error handling for secure agents.

Can I use this linting skill to check Python 3.9 agent projects?

No, you cannot use this linting skill to check Python 3.9 agent projects because it explicitly requires Python 3.10 or higher. You must upgrade your environment to Python 3.10+ and install Ruff to perform the automated code analysis.