writing-skills

Applying TDD to AI agent skills involves a RED-GREEN-FACTOR cycle where you establish baseline testing without the skill, write minimal documentation to address failures, and refactor to close loopholes. This ensures robust, discipline-enforcing skill creation.

To prevent agents from rationalizing workarounds, you must develop pressure scenarios with time and authority constraints, identify common excuses, and refine documentation with explicit counter-rationalizations to block those specific bypasses.

Testing AI agent compliance involves creating realistic scenarios with multiple pressures like time, sunk cost, and authority, then observing agent behavior to identify rationalizations used to bypass rules under those specific constraints.

The RED-GREEN-REFACTOR cycle for skill development mandates baseline testing without the skill, writing minimal skill documentation to address observed failures, and refactoring to close loopholes identified under pressure scenarios.

Yes, you can use this TDD approach to update existing process documentation by applying the RED-GREEN-REFACTOR cycle to refine skills, test them against new pressure scenarios, and enforce stricter compliance.