testing-skills-with-subagents

Name: testing-skills-with-subagents
Availability: InStock
Author: Crumbgrabber

Apply TDD principles to create and validate AI agent skills.

3|2|Updated Dec 28, 2025

Search Tags:#tdd #documentation #refactoring #prompt engineering #skill testing #agent validation

Ready to run

npx skills add https://github.com/Crumbgrabber/llm_system_template_agents_skills_patterns_tools_prompts --skill testing-skills-with-subagents-crumbgrabber

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: testing-skills-with-subagents
Source: https://github.com/Crumbgrabber/llm_system_template_agents_skills_patterns_tools_prompts/tree/main/skills/testing-skills-with-subagents
Command: npx skills add https://github.com/Crumbgrabber/llm_system_template_agents_skills_patterns_tools_prompts --skill testing-skills-with-subagents-crumbgrabber

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill ensures that your AI agent skills are robust, resistant to rationalization, and consistently enforce desired behaviors by applying the principles of Test-Driven Development (TDD) to skill documentation.

Core Features & Use Cases

TDD for Skills: Implements the RED-GREEN-REFACTOR cycle for skill development and validation.
Pressure Testing: Designs realistic scenarios with multiple pressures (time, sunk cost, authority) to expose skill weaknesses.
Rationalization Capture: Systematically documents and counters agent excuses for non-compliance.
Use Case: Before deploying a new skill that enforces coding standards, use this skill to simulate high-pressure situations where an agent might be tempted to cut corners, ensuring the skill prevents such deviations.

Quick Start

Use the testing-skills-with-subagents skill to test the new documentation skill by running baseline scenarios without the skill first.

Frequently Asked Questions about testing-skills-with-subagents

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

FAQPage Schema

How do I test AI agent skills to prevent rationalization under pressure?▼

You test AI agent skills by applying Test-Driven Development (TDD) principles, defining pressure scenarios, capturing agent failures verbatim, and iteratively refining documentation to close loopholes where the agent rationalizes non-compliance.

What is the TDD RED-GREEN-REFACTOR cycle for prompt engineering?▼

The TDD cycle for prompt engineering involves running baseline scenarios to expose failures (RED), writing minimal skill documentation to address those failures (GREEN), and iteratively refining to close rationalization loopholes (REFACTOR).

How do I validate that my agent documentation enforces coding standards without cutting corners?▼

You validate agent documentation by pressure testing it with realistic scenarios involving time constraints, sunk costs, and authority pressures to ensure the skill consistently enforces desired behaviors and prevents deviations.

When should I use TDD for skill testing and agent validation?▼

You should use TDD for skill testing when your skills enforce discipline, have compliance costs, or could be rationalized away, ensuring they remain robust against agent excuses before deployment.

What are the limitations of testing skills with subagents for compliance enforcement?▼

Testing skills with subagents requires designing realistic pressure scenarios and capturing failures verbatim, which means limitations include the overhead of iteratively refactoring documentation to close every loophole exposed during baseline scenario runs.