What problem does it solve? When every source in an analysis agrees on a claim, that consensus may reflect shared bias or common underlying assumptions rather than ground truth. This Skill tests 100%-agreement claims against independent external evidence so analysts can distinguish genuine findings from echo-chamber artifacts. ## Core Features & Use Cases - Consensus Claim Extraction: Identifies claims with 100% source agreement from prior pipeline analysis and groups them by domain for bias-risk assessment. - External Corroboration Scoring: Searches independent reference sources for each claim, scoring evidence quality, recency, and independence, then combines results into a unified confidence metric. - Discrepancy & Remediation Reporting: Documents where consensus diverges from external evidence, flags weakly corroborated claims, and recommends remediation steps. - Use Case: A research team finds all sources agree that a platform is a Digital Public Good. The Skill verifies this against the official registry and academic literature, raising combined confidence to 0.97, while flagging an adoption-rate claim that only one weak external source supports. ## Quick Start Verify the consensus claims from my P2 analysis output against external evidence and produce a TT-14 verification report with confidence scores and bias risk levels.
