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Msa Search Nim

NVIDIAOfficialPublished by NVIDIA

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

From the author

Generate multiple sequence alignments (MSAs) for protein sequences using the ColabFold MSA-Search NIM. Use for homolog search, UniRef30/ColabFold env searches, A3M or FASTA alignments, paired MSA search for complexes, PDB70 structural templates, hosted NVIDIA API calls, or local Docker deployment. For local deployment, download the databases in parallel with aria2c and launch via NIM_MODEL_NAME (the recommended default fast path, ~14 min vs over 80 min for the built-in downloader); a plain docker run uses the slow built-in downloader.
— 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 a command-line tool, Needs Python, Needs Node.js

The author says: requests>=2.28

Security

What our scanner noticed· Medium risk

  • Large base64-encoded blobs
  • Instructions that use the network
  • Scripts that your agent may run

This skill includes scripts that your agent may run. Read them before you use it.

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Attribution and licence

Published by
NVIDIA
Publisher
NVIDIA (Official)
Source
NVIDIA/skills · skills/bionemo-msa-search-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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