# BioSkeptic

- **Event:** [Built with Claude: Life Sciences](https://cerebralvalley.ai/e/built-with-claude-life-sciences)
- **When:** Jul 7 at 12:00 PM – Jul 14 at 12:00 AM (EDT)
- **Where:** Online
- **Team:** [Doron Levinson](https://cerebralvalley.ai/u/doronlevinson)
- **GitHub:** https://github.com/DoronLevinson/bioskeptic
- **Demo video:** https://www.youtube.com/watch?v=oYrEbjehWsg
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/219

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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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/219. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt