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setup-chai1-remote-tool

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Set up, launch, validate, and troubleshoot the Chai-1 ToolUniverse remote tool and optionally relay it through ToolUniverse Connect. Use when deploying or auditing this implementation.

skills/setup-chai1-remote-tool/SKILL.md

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# Set up Chai-1 as a remote tool

> Validation status (2026-09-29): chai_lab 0.6.1 under the optimization kit's `fast` mode ran on the NVIDIA GB10 (aarch64, cc 12.1). Three folds of an 89-residue chain in one held worker took 67.6 s, 26.6 s and 25.7 s at a measured peak of 9.8 GiB reserved. The `alloc` lever is declared off because it cannot win in this process; the kit records the run as a PARTIAL activation, which is the accurate word. Public publication, cross-user isolation, concurrency, recovery and biological accuracy are untested; keep this deployment private.

## Prerequisites

- Run from the ToolUniverse repository root on Linux with Python 3.12.3.
- A CUDA GPU is required. This provider holds its model resident between requests; CPU is not a target.
- Keep provider data, weights, caches, and credentials outside Git.
- Bind to loopback. A non-loopback bind requires TOOLUNIVERSE_API_TOKEN; never put it in arguments or results.

Run the standard-library contract check before downloading large dependencies:

~~~bash