# Openfold3 Nim

Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular...

- Repository: https://github.com/NVIDIA/skills (3812 stars)
- Category: DevOps
- License: Apache-2.0 AND CC-BY-4.0
- Last updated: 2026-10-30
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add NVIDIA/skills --skill openfold3-nim -g -a claude-code -y`
Codex: `npx skills add NVIDIA/skills --skill openfold3-nim -g -a codex -y`
Cursor: `npx skills add NVIDIA/skills --skill openfold3-nim -g -a cursor -y`
Gemini CLI: `npx skills add NVIDIA/skills --skill openfold3-nim -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add NVIDIA/skills`

## Description

Use this skill for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. Invoke whenever the user mentions OpenFold3 or needs protein, protein-ligand, protein-DNA/RNA, or multi-chain complex prediction with the hosted NVIDIA API or local Docker NIM. Covers endpoint choice, auth, request payloads, output artifacts, confidence scores, and local container setup.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# OpenFold3 NIM

Predict biomolecular structures with OpenFold3. It supports proteins, DNA, RNA,
small-molecule ligands, and multi-entity assemblies. Use this guide for
basic hosted and local NIM use; load supplemental files only when the task needs
deeper context:

- `references/api.md`: exact endpoints, schemas, Docker flags, response fields.
- `references/science.md`: purpose, strengths, limitations, and model handoffs.
- `references/parameters.md`: molecule fields, MSAs, templates, samples, tuning.
- `references/validation.md`: artifact checks and scientific sanity checks.
- `references/examples.md`: compact hosted and local request patterns.

## Choose Mode

Ask only when context is unclear:

> Hosted NVIDIA API or local Docker NIM?

- Hosted URL: `https://health.api.nvidia.com/v1/biology/openfold/openfold3/predict`
- Local URL: `http://localhost:8000/biology/openfold/openfold3/predict`
- Local readiness: `http://localhost:8000/v1/health/ready`

Mode difference: the local prediction path has no `/v1/` prefix. Hosted requests use `Authorization: Bearer $NGC_API_KEY`. Supported local Docker
startup uses `NGC_API_KEY` (or `NVIDIA_API_KEY` via the preflight) for
registry login, entitlement checks, and first-run model downloads; pass it
into the container with `-e NGC_API_KEY`. Local inference requests use no
auth header after readiness, so bind the host port to loopback with
`-p 127.0.0.1:8000:8000`. Warm-cache key-free startup varies by image version
and should not be assumed.

## Auth And Environment

Use credentials already supplied in the environment or injected by a secret
manager. Do not load credential files, print keys, or enable shell tracing.
Confirm keys exist with shell tests.

Hosted needs `NGC_API_KEY` in the request header. Local startup needs
`NGC_API_KEY`, or `NVIDIA_API_KEY` as a fallback, plus `LOCAL_NIM_CACHE`.

## Local Docker

The rest: https://github.com/NVIDIA/skills/blob/HEAD/skills/bionemo-openfold3-nim/SKILL.md