anti-feku-novelty

What problem does it solve?

Founders and deal memos often accumulate confirmation bias across sequential analyses, making it hard for an analyst committee to spot which claims are real and which are narrative. This Skill systematically interrogates upstream evidence, surfaces the specific testable and experiential claims, and produces a rigorous verdict on whether the company's asserted asymmetry and novelty hold up.

Core Features & Use Cases

• Claim Extraction & Classification: Pulls testable, experience, and narrative claims from deal-context, value-chain, competitors, trends, feature-comparison, and meta-review outputs and classifies their stake.
• Targeted Verification & Consistency Checks: Runs source verification for testable claims, internal consistency checks for experience claims, and an echo test for narrative claims, producing traceable verdicts and bases.
• Risk Register & Novelty Scorecard: Produces a scoped risk register and a five-dimension novelty assessment to help ICs decide whether the edge is real or executional.
• Use Case: Final skepticism pass on a deal workspace to convert upstream analysis into a one-page, IC-ready bottom_line and a machine-readable validation/anti-feku.json.

Quick Start

Run the anti-feku-novelty pass on a completed deal workspace to generate a validation/anti-feku.json with claim pushback, risks, novelty scorecard, and a concise bottom_line summary.