What problem does it solve? Medium and high risk implementation work often starts without explicit acceptance criteria, causing specs to drift from quality gates and leaving no shared definition of what passing means. This Skill enforces an eval contract before any implementation begins. ## Core Features & Use Cases - Capability and Regression Evals: Define what must become possible and what must remain true, with each bug fix requiring a regression test. - Command and Judge Evals: Specify exact checks with expected outputs, plus a rubric and acceptance threshold for Judge evaluation. - Single Source of Thresholds: All numeric expectations cite agent-os/quality-thresholds.json instead of restating values, preventing drift between documents. - Use Case: Before implementing a medium-risk feature in an Agent OS project, add an evals.md section to the spec that records capability goals, regression coverage, command checks, Judge rubric, and where evidence will be stored. ## Quick Start Ask the agent to add an eval contract with capability, regression, command, and Judge evals to the current spec before starting implementation.