molclaw-protein-openmm

molclaw-protein-openmm is a skill for Claude Code, Codex from InternScience/MolClaw. It costs 24 tokens per session (1,560 once invoked), scanned A, original, MIT.

A workflow for running molecular dynamics simulations of proteins with OpenMM, a software toolkit for simulating molecular motion, and extracting evenly spaced frames from the resulting trajectory. It accepts protein structures in PDB format.

In plain words
What is it for?
Use it to run explicit- or implicit-solvent protein simulations and obtain regularly spaced structures for later analysis.
Why use it?
It provides a defined preparation, simulation, and frame-extraction process for studying or refining protein structures. Input files may need to be uploaded and cleaned before use.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to run explicit- or implicit-solvent protein simulations and obtain regularly spaced structures for later analysis.

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Install with agentmods
npx agentmods add skills/internscience/molclaw/molclaw-protein-openmm
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 InternScience/MolClaw --skill molclaw-protein-openmm
Clone the repo
git clone --depth 1 https://github.com/InternScience/MolClaw

Made for: Claude Code, Codex.

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.

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README.md
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Your own site
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Your own site · 80×15
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Per session 24 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,560 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00024 $0.01560
Opus 5 $0.00012 $0.00780
Sonnet 5 $0.00005 $0.00312
Haiku 4.5 $0.00002 $0.00156

Measured 9d ago against content hash 429726c43af8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

molclaw-protein-openmm scanned grade A with 0 findings 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 9d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/L1_tools/molclaw-protein-openmm/SKILL.md · 199 lines

How it starts

The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Protein OpenMM MD and Frame Extraction

Note:

  • Local files are not directly accessible by the server. Please upload them to the server using molclaw-file-transfer before execution.
  • For PDB file inputs, it is recommended to preprocess them using molclaw-pdbfixer before execution.
  • Please refer to skill molclaw-scp-server to complete tool invocation.

Usage

1. Protein OpenMM MD

The description of tool protein_openmm_md.

Runs OpenMM-based protein molecular dynamics preparation and simulation for structure refinement workflows.
Args:
    protein_pdb (str): Absolute or relative path to input protein PDB.
    solvent_type (str): Solvent mode, 'explicit' or 'implicit', default 'explicit'.
    gb_model (str): GB model for implicit solvent mode, default 'GBn2'.
    water_model (str): Water model for explicit solvent mode, default 'tip3p'.
    force_field (str): OpenMM force field name, default 'amber14'.
    md_time (float): Production MD time in picoseconds, default 100000.0.
    platform (str): OpenMM compute platform, default 'CUDA'.
    full_md (bool): Run full MD procedure if True, default False.
Return:
    status (str): 'success' or 'error'.
    msg (str): Human-readable execution summary.
    command (str): The invoked command ('protein_openmm_md').
    run_dir (str | None): Final run directory under tool_result/openmm_md_result.
    work_dir (str | None): Same as run_dir for compatibility.
    trajectory_path (str | None): Path to md_traj.dcd when available.
    energy_log (str | None): Path to md.log when available.
    generated_files (List[str]): File paths relative to work_dir.
    md_time (float): Echoed requested MD time in ps.
    solvent_type (str): Echoed solvent mode.
    force_field (str): Echoed force field.
    full_md (bool): Echoed full MD mode.

How to use tool protein_openmm_md :

response = await client.session.call_tool(
    "protein_openmm_md",
    arguments={
        "protein_pdb": "/path/to/input.pdb",
        "solvent_type": "implicit",
        "gb_model": "OBC2",
        "water_model": "tip3p",
        "force_field": "amber14",
        "md_time": 1000.0,
        "platform": "CUDA",
        "full_md": True
    }
)
result = client.parse_result(response)
key_output = result["work_dir"]

Read the full file on GitHub · 199 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. 9d ago First seen · 199 lines · 24 tokens per session scan A 429726c43af8

Subscribe to this mod's changes

molclaw-protein-openmm is a skill published in the GitHub repository InternScience/MolClaw (33 stars, last pushed 1mo ago), licensed MIT. It adds 24 tokens to every session and 1,560 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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