What problem does it solve? Untested skill documentation often fails in practice because agents rationalize around rules under time, sunk-cost, or authority pressure, and authors cannot know whether a skill teaches the right behavior without watching agents fail without it first. ## Core Features & Use Cases - TDD-based skill authoring: Applies the RED-GREEN-REFACTOR cycle to documentation by running baseline pressure scenarios with subagents before writing any skill content. - Rationalization bulletproofing: Provides rationalization tables, red-flag lists, and explicit loophole counters so discipline-enforcing skills resist agent workarounds. - Discovery optimization (CSO): Defines naming, description, keyword, and token-efficiency rules so future agents can find and correctly trigger the skill. - Use Case: When creating a new skill such as a verification-before-completion rule, run pressure scenarios without the skill, record the agent's exact excuses, write the minimal skill addressing them, and re-test until the agent complies under maximum pressure. ## Quick Start Ask the agent to help you create a new skill by first running baseline pressure scenarios with subagents, then writing and iteratively testing the SKILL.md until agents comply.