writing-skills

To use TDD for AI skill development, apply the RED-GREEN-REFACTOR cycle by writing test scenarios before authoring the skill. This structured testing methodology ensures the final agent behavior is robust against common rationalizations and compliance failures.

The best way to stop agents from bypassing rules is to implement rationalization countermeasures during skill development. By identifying common excuses through pressure scenarios, you can add explicit countermeasures that enforce strict compliance with your documentation.

You test operational integrity before deployment by applying structured testing and pressure scenarios to existing skills. This verifies their agent behavior against known failure modes and ensures the documentation remains effective and compliant under real-world conditions.

You need a test-driven approach to skill development when creating new skills, editing existing ones, or verifying operational integrity before deployment. It ensures your agent behavior and documentation are robust against common rationalizations and compliance failures.

AI skills fail to enforce coding standards because agents often use rationalizations to bypass rules. Addressing these compliance failures requires writing test scenarios before the skill itself to identify loopholes and apply explicit countermeasures.