Fact-Check Skill Systematic verification of claims in generated content. Designed to catch hallucinations, confabulations, and unsupported assertions. Why Separate Passes Matter The Fundamental Problem: LLMs generate plausible-sounding content by predicting what should come next. This same mechanism produces hallucinations—confident statements that feel true but aren't. An LLM in generation mode cannot reliably catch its own hallucinations because: 1. Attention is on generation , not verification 2. Coherence pressure makes false claims feel correct in context 3. Same weights that produced th…