What problem does it solve? When AI session distillation produces candidate conclusions that could become durable project knowledge, overgeneralized or weakly evidenced claims can slip into the knowledge base. This Skill applies adversarial scrutiny to high-risk drafts before they are promoted, catching failure modes early. ## Core Features & Use Cases - Adversarial Pressure Testing: Challenges candidate conclusions with verdicts of keep, narrow, defer, or reject. - Evidence Gap Analysis: Identifies strongest evidence, missing evidence, and likely failure modes for each draft. - Safer Wording Proposals: Suggests narrower phrasing when a conclusion should survive with reduced scope. - Use Case: A distilled session note claims a new project rule applies globally. Run this Skill during candidate review to determine whether the claim is product truth, workflow preference, or local-only context before it becomes durable guidance. ## Quick Start Ask the assistant to pressure-test this candidate conclusion with grill-me before promoting it to durable memory.
