TechAIWritingSkills

To use TDD for AI skills, apply the RED-GREEN-REFACTOR cycle to skill authoring, writing pressure scenarios first to define expected behavior, then refining documentation to pass those tests while closing rationalization loopholes.

The best way to prevent an AI from bypassing skill rules is to apply rationalization countermeasures, which identify and close loopholes agents use to skip constraints during pressure testing under realistic scenarios.

The RED-GREEN-REFACTOR cycle applies to skill documentation by first writing failing pressure tests for expected constraints, refining the skill instructions to pass compliance, and refactoring the documentation for discoverability and robustness.

Yes, you can test AI skill compliance under tight deadlines and incomplete information by developing specific pressure scenarios that simulate these stressful constraints, ensuring the skill guides the agent to perform thoroughly.

You need test-driven development for skill authoring when creating robust, compliant, and discoverable process documentation that must withstand realistic pressure scenarios and resist agent rationalization during execution.

Your AI skill may fail under stress if it lacks rigorous pressure testing and rationalization countermeasures, allowing the agent to exploit loopholes when facing tight deadlines or incomplete information.