writing-skills

Test-driven development for AI skills uses RED-GREEN-REFACTOR cycles to write scenarios, test compliance under pressure, and refine documentation until rules are explicitly enforced. You write failure scenarios first, then build the skill to pass them.

Rationalization countermeasures identify and explicitly address common excuses agents use to bypass rules. They guarantee adherence to documented processes by testing skills against scenarios involving time pressure, sunk cost, and authority.

Pressure testing AI skills involves applying realistic scenarios with multiple pressures like time, sunk cost, and authority. This ensures skill documentation remains robust, discoverable, and compliant by forcing the agent to follow rules under stress.

The best way to ensure discoverability and compliance is enforcing a test-driven development methodology. This framework refines skills through RED-GREEN-REFACTOR cycles and explicit rationalization countermeasures to guarantee adherence.

You need RED-GREEN-REFACTOR cycles when creating and refining AI skills to ensure documentation is robust against rationalization. This cycle adapts by writing failing scenarios first, making them pass, then refactoring the skill.

Yes, TDD prevents agents from skipping rules by documenting their excuses under time or authority pressure. You write scenarios where an agent bypasses rules, then update the skill to explicitly forbid that behavior and re-test until compliance.