| name | ai-agent-lint |
| description | AI Agent code quality check - Use Ruff to check code standards for LangChain, AutoGen, and other AI Agent projects |
AI Agent Lint Skill
📋 Overview
This skill uses Ruff (an extremely fast Python linter) to check AI Agent project code quality, specifically targeting:
- LangChain applications
- AutoGen multi-agent systems
- CrewAI collaborative agents
- General AI Agent development projects
🔧 Prerequisites
| Tool | Min Version | Check Command | Installation |
|---|
| Python | 3.10+ | python --version | python.org |
| Ruff | 0.1.0+ | ruff --version | pip install ruff |
Note: If Ruff is not installed, the script will provide a friendly prompt instead of failing.
🚀 Usage
Method 1: Use AI Assistant
Tell the AI directly:
"Use ai-agent-lint skill to check my project"
AI will automatically:
- Read this SKILL.md to understand usage
- Execute the check script
- Report found issues
Method 2: Run Script Directly
Windows (PowerShell):
.\.agent\skills\ai-agent-lint\scripts\lint.ps1
Linux/Mac (Bash):
./.agent/skills/ai-agent-lint/scripts/lint.sh
Method 3: Specify Target Directory
# Windows
.\.agent\skills\ai-agent-lint\scripts\lint.ps1 -Path ".\src"
# Linux/Mac
./.agent/skills/ai-agent-lint/scripts/lint.sh src
🎯 What It Checks
Python Code Standards
- ✅ PEP 8 style compliance
- ✅ Type hint completeness
- ✅ Import statement ordering
- ✅ Unused variables and imports
- ✅ Code complexity check
AI Agent Specific Checks
- ✅ Prompt template string safety
- ✅ Hardcoded API key detection
- ✅ Async code patterns
- ✅ Error handling completeness
- ✅ Resource leak detection (unclosed LLM clients)
Security Checks
- ⚠️
eval() and exec() usage warnings
- ⚠️ SQL injection risks
- ⚠️ Sensitive data logging
- ⚠️ Unsafe deserialization
📊 Output Example
🔍 AI Agent Lint - Checking project...
📁 Scanning directory: C:\Users\WJ\Desktop\MyAgent
📦 Detected: LangChain project
✅ src/main.py - No issues
⚠️ src/agent.py:15:1 - F401 [unused-import] 'os' imported but unused
❌ src/config.py:23:5 - S105 [hardcoded-password-string] Possible hardcoded password
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
📊 Check Results:
✅ Passed: 45 files
⚠️ Warnings: 3 issues
❌ Errors: 1 issue
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
💡 Tip: Run 'ruff check --fix' to auto-fix some issues
⚙️ Configuration
Create pyproject.toml or ruff.toml in the project root to customize rules:
[tool.ruff]
line-length = 88
target-version = "py310"
[tool.ruff.lint]
select = [
"E",
"W",
"F",
"I",
"N",
"S",
"B",
"C90",
]
ignore = ["E501"]
[tool.ruff.lint.per-file-ignores]
"__init__.py" = ["F401"]
🔗 Related Resources
🆘 FAQ
Q: What if Ruff is not installed?
A: The script will detect and prompt installation: pip install ruff
Q: Can it be integrated into CI/CD?
A: Yes! Add to GitHub Actions:
- name: Lint AI Agent Code
run: |
pip install ruff
ruff check .
Q: How to auto-fix issues?
A: Run ruff check --fix or use the script's --fix parameter
Q: Does it support other AI frameworks?
A: Yes, it supports all Python-based AI Agent frameworks with universal rules