Individual skill
setup-openfold3-remote-tool
Set up, launch, validate, and troubleshoot the OpenFold3 ToolUniverse remote tool and optionally relay it through ToolUniverse Connect. Use when deploying or auditing this implementation.
skills/setup-openfold3-remote-tool/SKILL.md
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- Last checked
- Nov 5, 2026
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- License
- Apache-2.0
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Read excerpt
# Set up OpenFold3 as a remote tool
> Validation status (2026-09-29): OpenFold3 under the optimization kit's `fast` mode ran on the NVIDIA GB10 (aarch64, cc 12.1), with `pair_transition` switched off through the kit's own MODEL_OPT_LEVERS_OFF door, the kit's `post_release` gate forced on every item, and the data loader forced to 0 workers. Verified on FOUR CONSECUTIVE IDENTICAL REQUESTS in one held worker -- not on a single smoke, which this provider passed while being unable to answer a second request at the same shape. Five mmCIF models per request; peak reserved 2.22 GiB rising to 2.35 by the fourth, and 9.12 GiB measured at 800 residues. 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