What problem does it solve? AI-generated text often contains fabricated citations, invented statistics, and confident-sounding errors that are hard to spot manually. This Skill extracts every verifiable claim from AI output, finds independent sources, and flags hallucination patterns so users can check facts before relying on them. ## Core Features & Use Cases - Three-Layer Verification Pipeline: Extracts and categorizes claims (factual, statistical, citation, entity, causal, temporal), searches the web for supporting or contradicting sources, then runs an adversarial review targeting known hallucination patterns. - Active and One-Shot Modes: Run persistent inline verification on every substantive response, or verify a specific piece of text on demand with a full structured report. - Risk-Rated Reporting: Rates each claim as VERIFIED, PLAUSIBLE, UNVERIFIED, DISPUTED, or FABRICATION RISK, with source links and a structured report template. - Use Case: A lawyer receives AI-drafted analysis citing several cases. Running doublecheck reveals one case citation cannot be found in any legal database, flagging it as FABRICATION RISK before it reaches a filing. ## Quick Start Ask the assistant to doublecheck the previous response and produce a full verification report with sources.