proteinmpnn-nim

proteinmpnn-nim is a skill for Claude Code from NVIDIA-BioNeMo/bionemo-agent-toolkit. It costs 74 tokens per session (1,267 once invoked), scanned A, original, no licence file.

A tool for designing protein amino-acid sequences that fit a given protein backbone using NVIDIA's ProteinMPNN service. This process is called inverse folding because it starts with a structure and works back to a sequence.

In plain words
What is it for?
Use it to redesign protein chains, keep selected chains or residues fixed, exclude certain amino acids, adjust sampling temperature, and generate sequences for a backbone.
Why use it?
It removes the need to manually invent sequences that may fold into a target structure. NVIDIA's hosted service or a local Docker deployment can process PDB input and return FASTA sequences.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to redesign protein chains, keep selected chains or residues fixed, exclude certain amino acids, adjust sampling temperature, and generate sequences for a backbone.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia-bionemo/bionemo-agent-toolkit/proteinmpnn-nim
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add NVIDIA-BioNeMo/bionemo-agent-toolkit --skill proteinmpnn-nim
Clone the repo
git clone --depth 1 https://github.com/NVIDIA-BioNeMo/bionemo-agent-toolkit

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for proteinmpnn-nim

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia-bionemo/bionemo-agent-toolkit/proteinmpnn-nim/github.svg)](https://agentmods.dev/skills/nvidia-bionemo/bionemo-agent-toolkit/proteinmpnn-nim)
Your own site
<a href="https://agentmods.dev/skills/nvidia-bionemo/bionemo-agent-toolkit/proteinmpnn-nim"><img src="https://agentmods.dev/badge/skills/nvidia-bionemo/bionemo-agent-toolkit/proteinmpnn-nim/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for proteinmpnn-nim

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia-bionemo/bionemo-agent-toolkit/proteinmpnn-nim"><img src="https://agentmods.dev/badge/skills/nvidia-bionemo/bionemo-agent-toolkit/proteinmpnn-nim.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,267 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.01267
Opus 5 $0.00037 $0.00633
Sonnet 5 $0.00015 $0.00253
Haiku 4.5 $0.00007 $0.00127

Measured 10d ago against content hash dc8a2eee7796, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

proteinmpnn-nim scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (evals/harbor/proteinmpnn-local-design/tests/grader.py, evals/harbor/proteinmpnn-local-design/tests/test.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

until curl -sf "${proteinmpnn_nim_url%/}/v1/health/ready"; do sleep 5; done
nim-skills/proteinmpnn-nim/SKILL.md · 115 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 10d ago First seen · 115 lines · 74 tokens per session scan A dc8a2eee7796

Subscribe to this mod's changes

proteinmpnn-nim is a skill published in the GitHub repository NVIDIA-BioNeMo/bionemo-agent-toolkit (449 stars, last pushed 4d ago), with no licence file. It adds 74 tokens to every session and 1,267 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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