ai-output-verifier

# AI-Output Verifier AI is fluent, confident, and sometimes completely wrong — inventing facts, citations, and details in the same authoritative tone as the correct ones. That confidence is exactly what makes unverified trust dangerous. This checks a specific output: which claims are most likely wrong or fabricated, what genuinely needs independent verification, how to verify it, and the tells of hallucination — so you use AI's speed without inheriting its errors. ## What This Skill Produces - **A risk read of the output** — which specific claims are most likely to be wrong, outdated, or made up (facts, numbers, citations, names, recent events, specifics) - **Verify vs. low-risk split** — what genuinely needs independent checking vs. what's low-stakes or self-evident, so you spend effort where it counts - **How to verify each** — the concrete way to check the high-risk claims (a primary source, a second tool, a domain expert, testing it) - **The hallucination tells** — the signs AI is likely fabricating (oddly specific citations, confident claims about recent/niche facts, plausible-but-unverifiable details) - **A verification habit** — how to build appropriate checking into your AI use by default, scaled to the stakes (trust more for low-stakes, verify hard for high-stakes) ## Required Inputs Ask for these if not provided: - **The output** — the AI response to check (paste it) - **What it's for** — the stakes (a casual question vs. something you'll publish, decide on, or...