diffdock-nim

diffdock-nim is a skill for Claude Code from NVIDIA/skills. It costs 62 tokens per session (1,143 once invoked), scanned A, original, Apache-2.0.

A guide for using DiffDock, a tool that predicts how a small molecule may fit against a protein. Molecular docking estimates a molecule's binding position, and the guide supports NVIDIA's hosted service or a local Docker setup.

In plain words
What is it for?
Use it to dock a ligand from SMILES or SDF against a protein, including blind docking, then save ranked poses and confidence scores.
Why use it?
It records the different endpoints, credentials, input formats, and checks needed to run docking without mixing up hosted and local usage.

Skill for Claude Code ✓ vendor

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Good fit Use it to dock a ligand from SMILES or SDF against a protein, including blind docking, then save ranked poses and confidence scores.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia/skills/bionemo-diffdock-nim
About the project

NVIDIA/skills is a catalogue of portable instruction sets that teach coding agents how to use NVIDIA software for robotics, simulation, CUDA, retrieval-augmented generation, and related workflows. Developers install these skills in agents such as Claude Code or Codex, while the catalogue mirrors skills maintained in separate NVIDIA product repositories.

NVIDIA/skills · 3,873 stars · on GitHub · docs.nvidia.com

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/skills --skill bionemo-diffdock-nim
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/skills

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 diffdock-nim

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia/skills/bionemo-diffdock-nim/github.svg)](https://agentmods.dev/skills/nvidia/skills/bionemo-diffdock-nim)
Your own site
<a href="https://agentmods.dev/skills/nvidia/skills/bionemo-diffdock-nim"><img src="https://agentmods.dev/badge/skills/nvidia/skills/bionemo-diffdock-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 diffdock-nim

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/skills/bionemo-diffdock-nim"><img src="https://agentmods.dev/badge/skills/nvidia/skills/bionemo-diffdock-nim.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,143 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 original 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 $0.00062 $0.01143
Opus 5.5 $0.00025 $0.00457
Sonnet 5.5 $0.00012 $0.00229
Haiku 4.5 $0.00006 $0.00114

Measured 1mo ago against content hash e095daf0c7d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

diffdock-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 1mo ago.

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 http://localhost:8000/v1/health/ready; do sleep 5; done
skills/bionemo-diffdock-nim/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

DiffDock NIM

Predict protein-ligand binding poses with blind docking. Use this guide for first-pass hosted/local usage; load supplemental files only when needed:

  • references/api.md: exact hosted/local endpoints, schemas, Docker flags.
  • references/science.md: docking use cases, limits, and handoffs.
  • references/parameters.md: ligand formats, pose counts, diffusion controls.
  • references/validation.md: receptor, ligand, pose, and confidence checks.
  • references/examples.md: compact hosted/local and pose-saving patterns.

Choose Mode

Ask only when context is unclear:

Hosted NVIDIA API or local Docker NIM?

  • Hosted: https://health.api.nvidia.com/v1/biology/mit/diffdock
  • Local: http://localhost:8000/molecular-docking/diffdock/generate

The hosted and local paths differ. Local has no /v1/ prefix and uses the /molecular-docking/ route. 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. Warm-cache key-free startup varies by image/version and should not be assumed.

Local Docker

For the exact local preflight (.env load, NVIDIA_API_KEY fallback, LOCAL_NIM_CACHE, NVIDIA_VISIBLE_DEVICES=0, --shm-size=2G, both --ulimit flags, docker login, and the docker run for nvcr.io/nim/mit/diffdock:2.2.0), copy the command block in references/api.md under Docker Reference verbatim.

Readiness:

until curl -sf http://localhost:8000/v1/health/ready; do sleep 5; done

Prepare Inputs

Protein receptor must be ATOM records only. Strip headers, water, and HETATM.

from pathlib import Path
raw_pdb = Path("protein.pdb").read_text()
protein = "\n".join(line for line in raw_pdb.splitlines() if line.startswith("ATOM"))
if not protein:
    raise ValueError("protein.pdb has no ATOM records")

Read the full file on GitHub · 119 lines

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. 1mo ago First seen · 119 lines · 62 tokens per session scan A e095daf0c7d9

Subscribe to this mod's changes

diffdock-nim is a skill published in the GitHub repository NVIDIA/skills (3,873 stars, last pushed yesterday), licensed Apache-2.0. It adds 62 tokens to every session and 1,143 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-30.

Related

diffdock-nim compared with skills from other repositories

diffdock-nim next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
diffdock-nimNVIDIA/skillsSkill3.9kyesterdayApache-2.0A62Claude Code
experiment-tracking-and-reproducibilitymakifbaysal/tasktrooperSkill12016d agoApache-2.0A64Claude Code, Codex
qec-constructMuuuun/luxasSkill1.2k12d agoMITA148Claude Code, Codex
arxiv-summarizer-orchestratorInternLM/WildClawBenchSkill534yesterdayMITA75Codex
manim-videoWrongStack/WrongStackSkill404yesterdayMITA101Claude Code, Codex
ui-ux-craftmakifbaysal/tasktrooperSkill12016d agoApache-2.0A43Claude Code, Codex
analiz-human-review-gatemakifbaysal/tasktrooperSkill12016d agoApache-2.0A33Claude Code, Codex