# Mute

- **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:** [Maxime Blum](https://cerebralvalley.ai/u/mute)
- **GitHub:** https://github.com/Mute-404/Anchor-Claude-Hackathon
- **Demo video:** https://youtu.be/aC0hk8WnvqU
- **Gallery:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/174

Anchor is a retrospective reproducibility agent for bioinformatics. Most scientific code can't be re-run months later because the analysis, its environment, and its data pipeline were never captured together — and existing tools are either prospective (Snakemake, Nextflow: you must rewrite your analysis up front, so nobody retrofits) or passive (provenance recorders that log what ran but never reason about why it broke). Anchor works on the messy Python/notebook code a lab already has. It inventories the repo, statically flags reproducibility smells (missing seeds, hardcoded paths, undeclared dependencies, time-dependence), runs the analysis twice in an isolated container to catch non-determinism empirically, then uses Claude to explain what each issue does to the specific figure it breaks and propose a patch — classified as mechanical or science-changing. Nothing that could alter a result is applied without human sign-off. The output is a pinned, containerized, Snakemake-wrapped bundle that reproduces — an on-ramp that gets unreproducible academic code onto real reproducibility tools. Everything runs on-prem, so sensitive data never leaves the building.

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Markdown version of https://cerebralvalley.ai/e/built-with-claude-life-sciences/hackathon/gallery/174. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt