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testing-agent

Generate, write, and run goal-based evaluation tests for agents using MCP tools.

40|4|Updated Jan 27, 2026
Search Tags:#automation#testing#debugging#pytest#evaluation#agents#mcp
One-click install
npx skills add https://github.com/SinShine5/aden-hive --skill testing-agent-sinshine5
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: testing-agent
Source: https://github.com/SinShine5/aden-hive/tree/main/.claude/skills/testing-agent
Command: npx skills add https://github.com/SinShine5/aden-hive --skill testing-agent-sinshine5

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured workflow to validate that autonomous agents meet their defined goals, enabling rapid debugging and iterative improvements through goal-based evaluation tests.

Core Features & Use Cases

  • Guided testing workflow: generate, write, and run tests for agents using MCP tools.
  • Debug-driven iteration: quickly identify failures, categorize errors, and guide fixes in the agent or goal.
  • Production-ready testing discipline: enforces API-key checks, mock mode options, and reusable test templates for constraint and success criteria tests.

Quick Start

Write tests with the provided guidelines and use the MCP run and debug tools to validate agent behavior.

Frequently Asked Questions about testing-agent

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

FAQPage Schema
How do I run goal-based evaluation tests for autonomous agents?▼

Goal-based evaluation tests validate that autonomous agents meet their defined goals by generating, writing, and executing test cases using MCP tools. This structured testing workflow surfaces actionable feedback to guide iterative improvements during the evaluation stage.

How do I debug agent test failures and iterate on improvements?▼

Debug agent test failures by quickly identifying and categorizing errors to guide targeted fixes in the agent or goal. This debug-driven iteration approach surfaces actionable feedback to rapidly improve agent behavior during the evaluation stage.

Do I need pytest and API keys to validate agent behavior?▼

Validating agent behavior requires pytest and the MCP toolchain. You must provide proper API keys for execution, or enable MOCK_MODE to perform structure validation without making live API calls during tests.

What is the best way to structure success criteria tests for agents?▼

The best way to structure success criteria tests for agents is using reusable test templates. This production-ready testing discipline enforces API-key checks and mock mode options to consistently validate constraints and success criteria during evaluation.

Why is my agent testing workflow not working without MCP tools?▼

Agent testing workflows require the MCP toolchain because it provides the run and debug tools needed to validate agent behavior. Without MCP tools, the guided testing workflow cannot generate, write, or execute goal-based evaluation tests for agents.

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