What problem does it solve? Conclusions often fail not because of bad evidence but because of premises that were never written down or examined. This Skill makes every assumption behind a conclusion explicit, challenges each one, and flags the unsupported load-bearing premises as key uncertainties before they cause a bad decision. ## Core Features & Use Cases - Premise Excavation: Lists implicit, boundary, and absence-of-evidence premises, not just the ones already stated in the argument. - Structured Categorization: Rates each premise on grounding and sensitivity, then sorts it into Heuer and Pherson's categories: basically solid, correct with caveats, or unsupported/questionable. - Key Uncertainty Dispositions: Converts every unsupported load-bearing premise into a named key uncertainty with a disposition — re-source it, test it, bound the conclusion, or flag it with lowered confidence. - Use Case: Before committing budget to a replatforming decision, run the check to discover that the conclusion rests on an unverified assumption that churn is driven by availability rather than missing features, and turn that into a research task with an owner. ## Quick Start Run a key assumptions check on the conclusion that we should replatform to multi-region this year, listing and challenging every premise it rests on.
