From thinking-frameworks-skills
Classifies extracted claims into five buckets (simplified-correct, simplified-boundary, wrong, contested, overclaim) with confidence and rationale for structured fact-checking.
How this skill is triggered — by the user, by Claude, or both
Slash command
/thinking-frameworks-skills:classify-claimThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
- **simplified-correct**: strips detail; underlying claim still holds. Keep.
Per claim:
- [ ] Step 1: Match claim to nearest bucket by definition
- [ ] Step 2: Assign confidence: low (pattern-matching, need source), medium (field knowledge suggests), high (sure)
- [ ] Step 3: Write one-sentence rationale
- [ ] Step 4: If low confidence, defer final classification until cross-reference-claim confirms
wrong without a post-classification primary-source check (that's cross-reference-claim).[contrarian] regions: wrong downgrades to contested or overclaim inside contrarian annotations.glossary-alignment-check ran first and flagged it — apply the writer's definition for classification.simplified-boundary beats wrong when the claim is right "most of the time."npx claudepluginhub lyndonkl/claude --plugin thinking-frameworks-skillsDecomposes complex claims into atomic sub-claims, classifies them, and identifies load-bearing parts. Useful for verifying large claims or uncovering hidden assumptions.
This skill should be used when classifying fact-check claims into verification domains (Compact, SDK, ZKIR, Witness). Covers how to tag claims with their domain, assign classification confidence, handle cross-domain claims, and resolve boundary cases between domains like compiler behavior vs compiled output. Triggered by queries like "classify these claims", "tag claims by domain", "which domain does this claim belong to", or "run domain classification on the claims file". Used by the domain-classifier agent in the midnight-fact-check pipeline.
Adversarially tests claims by seeking counterevidence, identifying logical fallacies, and demanding empirical proof using Wheat tools and web searches.