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Diffdock Nim

NVIDIAOfficialPublished by NVIDIA

  • Skill
  • Tool integration
  • Science and research
  • Link-only
  • Medium risk

From the author

Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. Use for DiffDock, molecular docking, ligand docking, blind docking, SMILES or SDF ligands, ranked poses, confidence scores, hosted NVIDIA API, or local Docker deployment.
— the description by NVIDIA

Install

Documentation by NVIDIA

The licence of this skill does not allow us to copy its documentation. Read it at the source

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools, Needs network access, Needs an API key, Needs Python

The author says: requests>=2.28

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Instructions that use the network

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Published by
NVIDIA
Publisher
NVIDIA (Official)
Source
NVIDIA/skills · skills/bionemo-diffdock-nim · commit fce3cca
Licence
Unrecognised licence declaration: Apache-2.0 AND CC-BY-4.0 (link-only: we do not redistribute its files)
Synced

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Get it from the source

This skill’s licence does not allow redistribution, so we link to it instead: NVIDIA/skills