qa-tester

Automates QA tests for Modular RAG MCP Server via predefined cases.

Updated May 20, 2026
One-click install
npx skills add https://github.com/Aarong365/Enterprise-Knowledge-Hub --skill qa-tester-aarong365
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: qa-tester
Source: https://github.com/Aarong365/Enterprise-Knowledge-Hub/tree/main/.claude/skills/qa-tester
Command: npx skills add https://github.com/Aarong365/Enterprise-Knowledge-Hub --skill qa-tester-aarong365

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pytest, appium, subprocess, requests, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the testing and verification of a Modular RAG MCP Server's knowledge base, ensuring high-quality, reliable information for AI tools.

Core Features & Use Cases

  • Automated QA Testing: Executes test cases without human intervention, supporting CLI commands, Dashboard UI, and MCP protocol.
  • Test Types: Covers CLI commands, Dashboard UI, AppTest headless rendering, MCP protocol, provider switches, and data lifecycle checks.
  • Error Diagnostics: Identifies failures, applies fixes with up to 3 retries, and records results in a progress file.
  • Use Case: Use this Skill to automatically run QA tests on your knowledge base, ensuring its accuracy and reliability for AI applications.

Quick Start

Execute the QA test plan with the command: run QA

Frequently Asked Questions about qa-tester

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

FAQPage Schema
How do I automate QA testing for a knowledge base MCP server?

Automate QA testing for a knowledge base MCP server by executing predefined test cases via CLI commands, Dashboard UI, and MCP protocol. This skill handles verification, applies fixes with up to 3 retries, and records progress automatically.

What types of test cases are covered in knowledge base verification?

Knowledge base verification covers CLI commands, Dashboard UI, AppTest headless rendering, MCP protocol, provider switches, and data lifecycle checks. These automated test cases validate the accuracy and reliability of your AI information.

Do I need Python to run automated QA tests on a Modular RAG MCP Server?

Yes, you need Python to run automated QA tests on a Modular RAG MCP Server. The execution and reporting processes require Python along with associated libraries like pytest, appium, subprocess, and requests to validate test cases.

How does error diagnostics work when a QA test fails?

Error diagnostics identify test failures and automatically apply fixes with up to 3 retries. The system validates CLI commands, Dashboard UI, and MCP protocol interactions, recording all diagnostic results and progress in a dedicated file.

What is the best way to verify MCP protocol and data lifecycle in a RAG server?

The best way to verify MCP protocol and data lifecycle in a RAG server is using automated test execution. This approach validates provider switches and headless rendering without human intervention, ensuring reliable information for AI tools.

Are there limitations when using pytest and appium for MCP server test automation?

Limitations include dependency on Python environments and specific libraries like pytest, appium, subprocess, and requests. Test automation is tailored for Modular RAG MCP Servers, meaning custom implementations may require adjusting predefined test cases.