writing-skills

You test AI agent documentation for compliance by applying pressure scenarios like time constraints, sunk cost, and authority to identify rule bypasses. This ensures your documentation withstands agent attempts to take shortcuts under duress.

TDD for documentation is a cycle of writing baseline tests for agent failures, implementing minimal skill instructions, and refactoring to close loopholes. It creates robust documentation that agents can reliably discover and follow.

You stop AI agents from rationalizing and bypassing skill rules by applying rationalization countermeasures during the refactoring phase. This identifies and closes loopholes that agents use to bypass documentation rules under pressure.

To create new skills using the Red Green Refactor cycle, first write scenarios where an agent fails without the skill, then write minimal skill instructions for compliance, and finally pressure test the documentation to close loopholes.

Yes, you can use TDD principles to refine existing AI agent skills by applying pressure testing and rationalization analysis. This process enforces compliance by identifying and closing documentation loopholes during the refactoring stage.

AI agents fail to follow documentation rules under duress because of unaddressed rationalization loopholes. You can fix this by pressure testing the documentation with scenarios involving time, sunk cost, and authority to ensure robust compliance.