molclaw-prolif-tool

molclaw-prolif-tool is a skill for Claude Code, Codex from InternScience/MolClaw. It costs 30 tokens per session (2,924 once invoked), scanned A, original, MIT.

A toolkit for studying how proteins and other molecules interact across docking results, molecular-dynamics simulations, single structures, and protein-protein interfaces. It produces interaction fingerprints, which record the types of contacts between molecules.

In plain words
What is it for?
Use it to compare docking poses, track interactions during molecular-dynamics simulations, and profile protein-protein interfaces. Input files must be uploaded to the server first.
Why use it?
It lets researchers compare molecular contacts across many poses or simulation frames instead of inspecting each structure manually.

Skill for Claude CodeCodex

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

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.

agentmods
npx agentmods add skills/internscience/molclaw/molclaw-prolif-tool
Any agent
npx skills add InternScience/MolClaw --skill molclaw-prolif-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-prolif-tool

README.md
[![agentmods](https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-prolif-tool.svg)](https://agentmods.dev/skills/internscience/molclaw/molclaw-prolif-tool)
Your own site
<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-prolif-tool"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-prolif-tool.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,924 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00030 $0.02924
Opus 5 $0.00015 $0.01462
Sonnet 5 $0.00006 $0.00585
Haiku 4.5 $0.00003 $0.00292

Measured 6d ago against content hash 99134e3eb321, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

molclaw-prolif-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 6d 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-prolif-tool/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ProLIF Multi-Scenario Analysis Toolkit

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.

[!IMPORTANT] Tool Priority: For single-structure interaction analysis (one complex, one pose), use molclaw-interaction-visualizer (local script) as the primary tool instead of prolif_pdb. ProLIF remains the primary tool for:

  • prolif_docking — batch docking pose fingerprint comparison
  • prolif_md — MD trajectory interaction dynamics
  • prolif_protein_protein — protein-protein trajectory interface profiling

These capabilities are NOT available in interaction-visualizer.

[!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.

Usage

1. MD Trajectory Fingerprinting

The description of tool prolif_md.

Compute ProLIF fingerprints for an MD trajectory and return standardized summary metrics.
Args:
    topology_path (str): Path to the topology file (e.g., .psf, .pdb, .prmtop).
    trajectory_path (str): Path to the trajectory file to analyze.
    ligand_selection (str): Selection string identifying ligand atoms.
    protein_selection (str): Selection string for protein atoms. Default: 'protein'.
    interactions (List[str]|None): Optional interaction types to compute (e.g., Hydrophobic, HBDonor).
    count (bool): If True, compute interaction counts instead of fingerprints. Default: False.
    vicinity_cutoff (float|None): Optional distance cutoff for vicinity interactions.
    params_json (str|None): Optional JSON parameter file path for ProLIF interaction settings.
    start (int|None): Optional start frame index.
    stop (int|None): Optional stop frame index (exclusive).
    step (int|None): Optional frame stride.
    residues (List[str]|None): Optional explicit residue list to include.
    all_residues (bool): If True, include all residues in analysis. Default: False.
Return:
    status (str): 'success' or 'error'.
    msg (str): Human-readable summary or error message.
    command (str): The executed command label ('md').
    output_dir (str|None): Run-specific directory under tool_result/prolif_result.
    output_file (str|None): Path to the generated CSV file.
    n_frames (int|None): Number of processed frames.
    n_interactions (int|None): Number of interaction columns in output.
    frequent_interactions (List[dict]|None): High-frequency interactions (>30%) with keys 'interaction' and 'frequency'.
    result_summary (dict|None): Full summary dictionary from the wrapper.

Read the full file on GitHub · 318 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. 6d ago First seen · 318 lines · 30 tokens per session scan A 99134e3eb321

Subscribe to this mod's changes

molclaw-prolif-tool is a skill published in the GitHub repository InternScience/MolClaw (33 stars, last pushed 29d ago), licensed MIT. It adds 30 tokens to every session and 2,924 once invoked, about $0.0002 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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