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BioSkeptic is a red team for drug-discovery claims. You give it a target, a disease, and a direction; it checks that hypothesis against ~21 public biomedical databases (Open Targets, GTEx, the Human Protein Atlas, ChEMBL, ClinGen, PubMed, ClinicalTrials.gov, the FDA label, and more) and returns cited, grounded concerns — never a verdict. The core is a set of refuting mechanisms drawn from the target-validation literature — each a specific, falsifiable question (Is the target expressed in the affected tissue? Do human genetics point the right therapeutic direction? Does the mouse knockout show anything relevant?). We catalogued ~18 and implemented 8, then benchmarked each against real approved indications and expert-refuted links, so the agent weighs a reliable flag more than a noisy one. It's built for the scientist vetting a target before a program commits, and the computational biologist cleaning target–disease data before it trains a model. It ships as a web app, an MCP server, and a Python library, and can audit entire knowledge graphs in bulk. It gives you a grounded, checkable second opinion, early.

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doronlevinson

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