What problem does it solve? Reading a full biomedical paper is slow, and standard summaries often repeat the authors' narrative without checking whether the figures actually support the conclusions. This Skill reconstructs a paper's logic figure by figure and judges the evidentiary strength of each visual, so you can quickly see which claims hold up and where the narrative overreaches. ## Core Features & Use Cases - Figure-to-Claim Mapping: Separates what each figure visibly shows from the claim the authors attach to it, classifying evidence as descriptive, comparative, mechanistic, predictive, or validation-oriented. - Support Strength Judgment: Rates each figure as strong, partial, weak, or insufficient support, and flags overinterpretation such as turning associations into causal claims. - Narrative Reconstruction: Rebuilds the paper's argument in figure order, identifies the 1-3 core figures carrying the main claims, and delivers a structured report with a self-critical risk review. - Use Case: Before a journal club, provide a paper's figures and captions and ask for a figure-first read to learn which visuals genuinely support the headline conclusion and where the discussion overstates the evidence. ## Quick Start Read this paper figure by figure and tell me whether the visuals actually support the main claims.