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testing-agent

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Validate agent goals with repeatable tests.

Software Engineering#debugging#pytest#agent-testing#MCP-tools#testing-agent#goal-based-testing
AuthorLovuwer
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps teams verify that AI agents meet defined goals by running goal-based tests and iterating on failures.

Core Features & Use Cases

  • Test generation workflow: Generates guidelines and templates for constraint and success-criteria tests, enabling consistent test authoring.
  • Execution & debugging loop: Supports running tests, collecting results, and debugging failures to drive agent improvements.
  • Workflow integration: Works with MCP tools and pytest fixtures to manage test lifecycles in mock or real-mode environments.

Quick Start

  1. Load your agent goal from the agent.py file and define success criteria and constraints.
  2. Generate constraint test guidelines with the appropriate MCP tool and write tests using the provided file_header.
  3. Generate success criteria test guidelines and write tests similarly.
  4. Run the full test suite with the run_tests MCP command and iterate based on results.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: testing-agent
Download link: https://github.com/Lovuwer/Stupid/archive/main.zip#testing-agent

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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