writing-skills

TDD for AI skill documentation applies the RED-GREEN-REFACTOR cycle by writing failing tests for scenarios where agents bypass rules, then creating the skill to enforce them, and finally refactoring to close loopholes under pressure.

Pressure testing for AI skills involves designing scenarios that test compliance under realistic constraints like time, sunk cost, and authority. It is needed to ensure documentation remains effective and resistant to agent rationalization.

Preventing AI agents from finding loopholes requires applying rationalization countermeasures during skill creation. This systematically addresses common excuses agents use to bypass rules, ensuring strict compliance and robust skill enforcement.

Yes, you can test coding standard enforcement skills before deployment by using this TDD methodology. You write failing tests where agents ignore the standard, write the skill to enforce it, and refactor to prevent bypasses under pressure.

The limitations of using TDD for skill documentation include the need for rigorous scenario design and systematic loophole closure. Without adequate pressure testing constraints, agents may still rationalize bypassing the documented rules.