Proteinmpnn Nim — Agent Skill by NVIDIA

From the author

Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. Sends user-provided PDB files and design parameters to NVIDIA's hosted API, authenticated with an environment API key, or to a user-selected local NIM. Use for sequence design, backbone redesign, fixed chains and residues, omit_AAs, sampling temperature, soluble model, local Docker, and multi-FASTA output.

— the description by NVIDIA

Install

Get the skill from its source (we cannot redistribute it):
https://github.com/NVIDIA/skills/tree/fce3cca4170be75e82c64920654d56ee2811b005/skills/bionemo-proteinmpnn-nim

Documentation by NVIDIA

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

Files

BENCHMARK.md(opens on GitHub)Not mirrored: opens on GitHub6.9 KiB
SKILL.md(opens on GitHub)Not mirrored: opens on GitHub7.8 KiB
config/skillspector-baseline.yml(opens on GitHub)Not mirrored: opens on GitHub1.5 KiB
evals/README.md(opens on GitHub)Not mirrored: opens on GitHub1.2 KiB
evals/config.yml(opens on GitHub)Not mirrored: opens on GitHub472 B
evals/evals.json(opens on GitHub)Not mirrored: opens on GitHub6.3 KiB
evals/files/1R42.pdb(opens on GitHub)Not mirrored: opens on GitHub492.9 KiB
evals/harbor/dataset.toml(opens on GitHub)Not mirrored: opens on GitHub159 B
evals/harbor/proteinmpnn-local-design/environment/Dockerfile(opens on GitHub)Not mirrored: opens on GitHub287 B
evals/harbor/proteinmpnn-local-design/environment/input/1R42.pdb(opens on GitHub)Not mirrored: opens on GitHub492.9 KiB
evals/harbor/proteinmpnn-local-design/instruction.md(opens on GitHub)Not mirrored: opens on GitHub997 B
evals/harbor/proteinmpnn-local-design/task.toml(opens on GitHub)Not mirrored: opens on GitHub650 B
evals/harbor/proteinmpnn-local-design/tests/grader.py(opens on GitHub)ScriptNot mirrored: opens on GitHub11.2 KiB
evals/harbor/proteinmpnn-local-design/tests/test.sh(opens on GitHub)ScriptNot mirrored: opens on GitHub104 B
evals/trigger_evals.json(opens on GitHub)Not mirrored: opens on GitHub2.3 KiB
references/api.md(opens on GitHub)Not mirrored: opens on GitHub7.0 KiB
references/examples.md(opens on GitHub)Not mirrored: opens on GitHub2.4 KiB
references/parameters.md(opens on GitHub)Not mirrored: opens on GitHub1.1 KiB
references/science.md(opens on GitHub)Not mirrored: opens on GitHub1.1 KiB
references/validation.md(opens on GitHub)Not mirrored: opens on GitHub1.5 KiB
scripts/design.py(opens on GitHub)ScriptNot mirrored: opens on GitHub9.9 KiB
skill-card.md(opens on GitHub)Not mirrored: opens on GitHub4.2 KiB
skill.oms.sig(opens on GitHub)Not mirrored: opens on GitHub8.8 KiB

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 an API key, Needs Python

The author says: Python >=3.10; 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.

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

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