Skill Testing Framework FAQs

Question 1

How does Red-Green-Refactor work for AI skills?

Accepted Answer

In the RED phase, you run a scenario without the skill to watch the agent fail or take shortcuts. In the GREEN phase, you write the minimal skill instructions to achieve compliance. Finally, in the REFACTOR phase, you close loopholes by addressing the specific excuses or rationalizations the AI used to bypass the rules.

Question 2

Why is 'rationalization capture' important for AI skills?

Accepted Answer

AI agents often use 'logical' excuses (like 'being pragmatic' or 'saving time') to bypass instructions. By capturing these verbatim during testing, you can add explicit negation strategies and 'Red Flags' to the skill, preventing the AI from using those specific excuses in the future.

Question 3

What does the Skill Testing Framework do?

Accepted Answer

This skill applies the Test-Driven Development (TDD) cycle—Red, Green, Refactor—to the creation of AI process documentation. It helps you verify that specialized Claude Code skills actually change behavior and remain effective even when the AI faces pressure to skip steps.

Question 4

What are 'pressure scenarios' in this framework?

Accepted Answer

Pressure scenarios are testing prompts that combine multiple constraints—such as tight deadlines, sunk costs, and authority figures—to tempt the AI into breaking its rules. This 'stress testing' ensures the skill is bulletproof and won't be ignored during real-world high-stakes tasks.

Question 5

When should I use the Skill Testing Framework?

Accepted Answer

Use this skill whenever you are developing new Claude Code skills that enforce discipline (like TDD or security audits) or have a high compliance cost. It is essential for any skill where the agent might be incentivized to prioritize speed over quality.

Skill Testing Framework

Skill Testing Framework

Key Features

Use Cases

Key Features

Use Cases