AI Skill TDD Framework FAQs

Question 1

What are common AI rationalizations to look for?

Accepted Answer

Common excuses include 'being pragmatic not dogmatic,' 'following the spirit not the letter,' or claiming that 'manual testing is sufficient just this once.'

Question 2

What is TDD applied to skills?

Accepted Answer

It is a process where you run scenarios without a skill to watch an agent fail (RED), write the skill to address those specific failures (GREEN), and then refine the documentation to close any remaining loopholes (REFACTOR).

Question 3

What are pressure scenarios in AI testing?

Accepted Answer

These are realistic test cases that combine multiple constraints—like deadlines, sunk cost, and manager pressure—to see if an AI will ignore its instructions to achieve a faster result.

Question 4

How do I make an AI skill bulletproof?

Accepted Answer

A skill becomes bulletproof by adding explicit negations for every rationalization an agent makes, creating red flag lists, and verifying the agent follows rules even when it 'wants' to break them.

Question 5

Why is the RED phase mandatory?

Accepted Answer

If you don't watch an agent fail without the skill, you cannot be certain the skill actually prevents the specific failure patterns you are worried about; you might be writing unnecessary documentation.

AI Skill TDD Framework

주요 기능

사용 사례

AI Skill TDD Framework

주요 기능

사용 사례