testing-skills-with-subagents

Testing AI agent skills for compliance involves applying a Test-Driven Development methodology that simulates high-pressure scenarios with combined constraints like time, sunk cost, and authority to ensure robustness and prevent violations.

The RED-GREEN-REFACTOR cycle for skill development involves running baseline tests without the skill to observe failures, writing the skill to address those failures, and refactoring to close loopholes identified during pressure testing with multiple combined constraints.

To prevent AI agent rationalization, pressure test the skill with realistic scenarios that capture agent excuses for non-compliance, then refactor the skill documentation to address and close those specific loopholes.

Yes, you can use TDD to bulletproof skills before deploying coding standards by simulating high-pressure situations where an agent might cut corners, ensuring the skill prevents violations before it goes live.

Use subagents for skill testing when you need to pressure test critical skills against multiple combined constraints and rationalization analysis that manual review alone cannot reliably surface or simulate.