What problem does it solve? Drafts often ship with fabricated-but-plausible specifics — wrong qubit counts, market figures, benchmark scores, or dates hidden behind a citation and a confident tone. This Skill re-verifies each load-bearing claim against live sources before publication, so no wrong number survives because everyone assumed someone else checked it. ## Core Features & Use Cases - Neutral-query verification: Each drafted value is looked up with a question that does not reveal the drafted value, preventing confirmation-biased searches. - Three-way claim classification: Every claim is marked confirmed, corrected, or unverifiable with a source locator, and corrections are applied to the text before publication. - Auditable fact-check ledger: Emits a per-claim ledger with mandatory totals and a zero-contradicted guarantee, so reviewers can audit every change. - Use Case: Before publishing a quantum-hardware brief citing qubit counts and a "first to ship" claim, run this check to catch that the drafted "32 logical qubits" is actually 8 topological qubits per the vendor's own announcement. ## Quick Start Fact-check this draft report before it ships — verify each load-bearing figure against live sources and give me a ledger of confirmed, corrected, and unverifiable claims.