molclaw-goca-tool

molclaw-goca-tool is a skill for Claude Code, Codex from InternScience/MolClaw. It costs 27 tokens per session (735 once invoked), scanned A, original, MIT.

A tool for running GoCa, a coarse-grained molecular-dynamics pipeline that simulates protein motion and can produce structure and trajectory files.

In plain words
What is it for?
Use it with a protein PDB structure to perform setup, optional energy minimisation and molecular dynamics, and post-processing; input files may need to be uploaded first.
Why use it?
It organises simulation runs and reports whether setup, the full simulation, or only part of the workflow succeeded.

Skill for Claude CodeCodex

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

Good fit Use it with a protein PDB structure to perform setup, optional energy minimisation and molecular dynamics, and post-processing; input files may need to be uploaded first.

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Install with agentmods
npx agentmods add skills/internscience/molclaw/molclaw-goca-tool
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-goca-tool
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.

agentmods badge for molclaw-goca-tool

README.md
[![agentmods](https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-goca-tool.svg)](https://agentmods.dev/skills/internscience/molclaw/molclaw-goca-tool)
Your own site
<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-goca-tool"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-goca-tool.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 735 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.
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 $0.00027 $0.00735
Opus 5 $0.00014 $0.00367
Sonnet 5 $0.00005 $0.00147
Haiku 4.5 $0.00003 $0.00073

Measured 7d ago against content hash b5bab806b82f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

molclaw-goca-tool 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 7d 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-goca-tool/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GoCa Pipeline

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.

  • GoCa executable path is fixed by the managed wrapper to /data/lwj/wll/code/drug/GoCa/GoCa.

Usage

1. GoCa Pipeline

The description of tool goca_pipeline.

Runs GoCa coarse-grained setup and optional full MD workflow for protein structure relaxation and trajectory generation.
Args:
    protein_pdb (str): Input protein PDB path, required.
    full_md (bool): Whether to run EM, production MD, and post-processing, default True.
    temperature (float): GoCa reduced temperature used for MD, default 45.0.
    md_time (float): MD simulation length in ps, default 12000.0.
    gpu_ids (str | None): Optional GROMACS GPU device IDs, default None.
    dry_run (bool): Create tracked run directory and return normalized parameters without execution, default False.
Return:
    status (str): success, partial_success, or error.
    msg (str): Human-readable run summary.
    output_dir (str): Run-specific directory under tool_result/goca_pipeline_result.
    work_dir (str): Relative GoCa working directory under output_dir.
    protein_pdb (str): Resolved input protein PDB absolute path.
    full_md (bool): Effective full_md value used by wrapper.
    temperature (float): Effective reduced temperature used by wrapper.
    md_time (float): Effective MD time in ps used by wrapper.
    gpu_ids (str | None): Effective GPU IDs used by wrapper.
    dry_run (bool): Effective dry_run value used by wrapper.
    key_files (dict): Key output files relative to output_dir.
    analysis_dir (str | None): Analysis directory relative to output_dir when generated.

How to use tool goca_pipeline :

response = await client.session.call_tool(
    "goca_pipeline",
    arguments={
        "protein_pdb": "/path/to/input.pdb",
        "full_md": True,
        "md_time": 1000.0,
        "temperature": 45.0,
        "gpu_ids": None,
        "dry_run": False
    }
)
result = client.parse_result(response)
key_output = result["output_dir"]

Read the full file on GitHub · 90 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. 7d ago First seen · 90 lines · 27 tokens per session scan A b5bab806b82f

Subscribe to this mod's changes

molclaw-goca-tool is a skill published in the GitHub repository InternScience/MolClaw (33 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 735 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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