writing-skills

To test AI agent skills, you can apply a Test-Driven Development (TDD) approach using RED-GREEN-REFACTOR cycles. This methodology rigorously tests documentation through pressure scenarios and iterative refactoring to ensure agents reliably follow instructions.

You apply TDD to skill development by following the RED-GREEN-REFACTOR cycle: write failing tests for the skill, create or update the documentation, and refactor until the agent complies under all realistic pressures. This ensures robust and effective skills.

AI agents bypass rules by generating rationalizations or excuses to skip instructions. You can prevent rationalization by implementing explicit countermeasures during skill creation that block common excuses and pressure-testing the documentation against these bypasses.

Yes, TDD for documentation works without external dependencies. The skill development process relies solely on internal scripts and references to enforce testing principles, capture rationalizations, and iteratively refactor agent skills.

The best way to refactor untested AI agent skills is through an iterative TDD process. You write failing tests, update the skill documentation, and refactor it repeatedly until the agent fully complies with instructions under realistic pressure scenarios.