What problem does it solve? AI assistants often guess or fabricate answers when information is missing, which is dangerous for high-stakes questions involving versions, security, finance, or legal topics. This Skill acts as a reliability gate that forces every claim to be backed by verifiable evidence or returns an explicit "insufficient information" result instead of a guess. ## Core Features & Use Cases - Request Classification: Sorts each request into repo-grounded, doc-grounded, or external-facts categories so the right evidence standard is applied. - Confidence Gate: Computes a 0-100 confidence score and only delivers a final answer at 100, otherwise outputs a structured list of missing evidence and concrete steps to reach full confidence. - Changeable-Fact Verification: Mandates verification of volatile facts like "latest version" or "current default" against authoritative docs, release notes, or logs before answering. - Use Case: When asked "does library Y support feature Z in the latest release?", the Skill refuses to guess, lists exactly which docs or command outputs are needed, and only answers once the evidence is provided. ## Quick Start Ask the assistant to answer a high-stakes question only if it is 100 percent sure based on verifiable evidence, with no assumptions or hallucinations.