Testing Skills With Subagents

Execute RED-GREEN-REFACTOR cycles to test skill documentation under pressure.

8|1|Updated Apr 15, 2026
One-click install
npx skills add https://github.com/gujiachun-rainbow/RainClaw --skill testing-skills-with-subagents-gujiachun-rainbow
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Testing Skills With Subagents
Source: https://github.com/gujiachun-rainbow/RainClaw/tree/main/.trae/skills/testing-skills-with-subagents
Command: npx skills add https://github.com/gujiachun-rainbow/RainClaw --skill testing-skills-with-subagents-gujiachun-rainbow

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Traditional skill documentation often lacks rigorous verification under pressure, leading to undetected gaps and rationalizations. This Skill provides a RED-GREEN-REFACTOR workflow to test and harden skill docs, capturing exact rationalizations and closing loopholes.

Core Features & Use Cases

  • RED phase baseline testing without the skill to reveal failures.
  • GREEN phase: implement precise skill changes to address observed failures.
  • REFACTOR phase: identify new rationalizations, update rules, and re-test to ensure compliance.
  • Use Case: teams validating new skills before deployment to ensure resilience under time pressure and cognitive bias.

Quick Start

Run RED baseline test against the skill document to observe failures, then implement GREEN changes and repeat REFACTOR until no new rationalizations appear.

Frequently Asked Questions about Testing Skills With Subagents

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

FAQPage Schema
What is test-driven development for AI skills and how does it validate documentation?

Test-driven development for AI skills applies RED-GREEN-REFACTOR cycles to documentation, capturing verbatim failures and rationalizations under pressure to iteratively harden skill rules until all gaps are closed.

How do I use a RED-GREEN-REFACTOR cycle to test skill documentation?

Run a RED baseline test without the skill to observe failures, implement precise GREEN changes to address them, then enter the REFACTOR phase to identify new rationalizations and re-test until compliance is achieved.

Why does skill documentation fail under pressure and how do I capture rationalizations?

Skill documentation fails under cognitive bias and time pressure due to undetected gaps. You capture exact rationalizations by running baseline tests and maintaining a rationalization table during the REFACTOR phase.

How to verify AI skills resilience before team deployment?

Verify AI skills resilience by executing TDD-style tests on the documentation to identify failures and rationalizations, performing iterative refactors until all failures are eliminated under pressure.

When do I need a rationalization table for quality assurance of skills?

You need a rationalization table during the REFACTOR phase when validating skills, using it to capture exact rationalizations that expose documentation loopholes and guide iterative rule updates.