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setup-rfdiffusion3-remote-tool

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Set up, launch, validate, and troubleshoot the RFdiffusion3 ToolUniverse remote tool and optionally relay it through ToolUniverse Connect. Use when deploying or auditing this implementation.

skills/setup-rfdiffusion3-remote-tool/SKILL.md

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# Set up RFdiffusion3 as a remote tool

> Validation status (2026-09-29): RFdiffusion3 under the optimization kit's `fast` mode, with the kit's file overlay applied, ran on the NVIDIA GB10 (aarch64, cc 12.1). Three unconditional 60-mers in one held worker took 19.4 s, 1.6 s and 1.6 s -- the largest residency gain of the six providers, because the compile trace and the CUDA-graph capture are paid once per process. A live call through this entry point returned two designs with no chain breaks and no clashes. Peak reserved is 12.49 GiB at 400 residues and 4 designs, measured, and peak is driven by length rather than by count. Public publication, cross-user isolation, concurrency, recovery and design quality 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
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