How does it handle complex data assertions?

The skill recommends and provides patterns for using inline-snapshots to verify complex JSON schemas and data structures, including commands for creating and fixing snapshots.

What testing framework is the primary focus?

This skill is built entirely around pytest, focusing on advanced features like fixtures, parameterization, and integration with the uv package manager.

Does this skill support async testing in Python?

Yes, it provides specific guidance for async tests, including a project-specific rule where async markers are not required due to global auto-mode configuration.

Can I use this for testing MCP (Model Context Protocol) tools?

Absolutely. It includes specific implementation patterns for using in-memory transport to pass FastMCP servers directly to clients for efficient tool and server verification.

Python Testing Specialist

Name: Python Testing Specialist
Author: AI-Riksarkivet

byAI-Riksarkivet

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보안 및 테스팅

Writes, reviews, and optimizes Python tests using pytest with a focus on atomic structure, async support, and FastMCP integration.

This skill provides a standardized framework for developing high-quality Python tests using pytest. It enforces core principles like atomic unit testing and module-level imports while offering specific guidance for FastMCP projects, such as using in-memory transport and handling async operations without explicit decorators. It helps developers improve test coverage, debug failures efficiently, and implement advanced patterns like inline snapshots and parameterized variations, ensuring robust and maintainable codebases.

주요 기능

018 GitHub stars

02Atomic and self-contained test design patterns

03Inline snapshots for validating complex JSON and data schemas

04In-memory transport configuration for FastMCP tool testing

05Comprehensive parameterization for efficient test variations

06Automated async testing without the need for decorators

사용 사례

01Writing comprehensive unit tests for new Python features and MCP tools

02Refactoring legacy test suites to follow modern pytest best practices

03Debugging complex async failures and improving test coverage

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ai-riksarkivet/ra-mcp testing-python

For use in Claude.ai and ChatGPT

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