molclaw-prolif-md

molclaw-prolif-md is a skill for Claude Code, Codex from InternScience/MolClaw. It costs 28 tokens per session (1,166 once invoked), scanned A, original, MIT.

A tool for examining how a small molecule interacts with a protein across a molecular-dynamics simulation. Molecular dynamics is a computer simulation showing how atoms move over time, and a protein-ligand interaction fingerprint records their contacts.

In plain words
What is it for?
Use it with trajectory files to analyze selected frames and residues; use a single-structure visualizer when you only have one protein-ligand snapshot.
Why use it?
It shows whether binding interactions stay stable throughout the simulation instead of relying on one snapshot.

Skill for Claude CodeCodex

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

Good fit Use it with trajectory files to analyze selected frames and residues; use a single-structure visualizer when you only have one protein-ligand snapshot.

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Install with agentmods
npx agentmods add skills/internscience/molclaw/molclaw-prolif-md
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-prolif-md
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-md

README.md
[![agentmods](https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-prolif-md.svg)](https://agentmods.dev/skills/internscience/molclaw/molclaw-prolif-md)
Your own site
<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-prolif-md"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-prolif-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,166 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 $0.00028 $0.01166
Opus 5 $0.00014 $0.00583
Sonnet 5 $0.00006 $0.00233
Haiku 4.5 $0.00003 $0.00117

Measured 8d ago against content hash 4ec758b8d6bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

molclaw-prolif-md 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 8d 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-md/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ProLIF MD Interaction Fingerprinting Skill

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.

[!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.

Task Description

Analyze protein-ligand interaction fingerprints in molecular dynamics (MD) trajectories, with support for frame slicing and residue controls. Use this skill to evaluate whether binding patterns remain stable throughout simulation.

Routing note: This tool is the primary choice for MD trajectory interaction dynamics (multi-frame analysis). For single-structure analysis (one frame, one complex), use molclaw-interaction-visualizer instead.

Input Source Mapping

Parameter Source Guidance
topology_path Output topology file from MD workflow tools: e.g., protein_openmm_md, prepare_complex, prepare_protein_md, or goca_pipeline (.psf/.pdb/.prmtop)
trajectory_path Output trajectory file from the same MD workflow tools (.dcd/.nc/.xtc)
ligand_selection User-provided ligand selection string, for example resname LIG or resid 100-101
protein_selection Defaults to protein; can be customized to narrow protein scope

Usage

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 · 110 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. 8d ago First seen · 110 lines · 28 tokens per session scan A 4ec758b8d6bf

Subscribe to this mod's changes

molclaw-prolif-md is a skill published in the GitHub repository InternScience/MolClaw (33 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 1,166 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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