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    Pytest Pro

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    Automated Pytest generation with AAA pattern, smart mocking, and automated executi

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    See it in action

    You say

    Generate a pytest suite for a function that fetches user data from an API and saves it to a local JSON file. Mock both the network call and the file system.

    Your agent does

    import pytest
    
    def test_save_user_data(mocker):
        # Arrange
        mock_get = mocker.patch("requests.get")
        mock_open = mocker.patch("builtins.open", mocker.mock_open())
        mock_get.return_value.json.return_value = {"id": 1, "name": "Dev"}
        
        # Act... (AAA pattern follows)
    

    What you get

    Automate boilerplate for unit and integration test suites.Mock external HTTP APIs and database dependencies reliably.Simplify edge-case testing using parametrized inputs.Configure reusable test fixtures with proper scoping.

    About this skill

    Pytest Pro: Automated AAA Test Generation & Mocking Engine

    Pytest Pro is a high-performance AI Agent Skill that automates unit test generation, smart mocking, and test execution analysis for Python projects. It enforces the industry-standard AAA (Arrange, Act, Assert) pattern and provides a closed-loop system for AI agents to self-correct failing tests.

    Key Capabilities

    • AAA Pattern Enforcement: Generates highly readable tests structured strictly with Arrange, Act, and Assert blocks.
    • Automated Mocking: Auto-detects external API calls and database connections, setting up proper mocks using pytest-mock.
    • Closed-Loop Auto-Correction: Includes a robust test runner (scripts/run_tests.py) that executes pytest, parses traceback outputs into a clean JSON schema, and feeds structured error reports back to the AI agent for automatic debugging.
    • Optimized Token Efficiency: Built using progressive disclosure principles, ensuring instructions are only loaded when active, saving context tokens.

    Technical Requirements

    • Python 3.10+
    • pytest
    • pytest-mock

    What's Included

    • SKILL.md: Production-ready instruction set and execution boundaries.
    • scripts/run_tests.py: Python execution wrapper and regex failure parser.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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