molclaw-prolif-protein-protein

molclaw-prolif-protein-protein is a skill for Claude Code, Codex from InternScience/MolClaw. It costs 27 tokens per session (1,043 once invoked), scanned A, original, MIT.

A tool for studying how two proteins interact across a molecular simulation, which is a sequence of computed protein shapes over time.

In plain words
What is it for?
It is for creating interaction fingerprints from protein-protein trajectories and profiling interface stability and residue contributions.
Why use it?
It helps show whether a protein interface stays stable and which amino acids contribute to the interaction.

Skill for Claude CodeCodex

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

Good fit It is for creating interaction fingerprints from protein-protein trajectories and profiling interface stability and residue contributions.

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Install with agentmods
npx agentmods add skills/internscience/molclaw/molclaw-prolif-protein-protein
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-protein-protein
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 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,043 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 $0.00027 $0.01043
Opus 5 $0.00014 $0.00522
Sonnet 5 $0.00005 $0.00209
Haiku 4.5 $0.00003 $0.00104

Measured 11d ago against content hash 33dacb5168b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

molclaw-prolif-protein-protein 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 11d 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-protein-protein/SKILL.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ProLIF Protein-Protein Interface 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-protein interaction trajectories and generate interface interaction fingerprints. Use this skill to evaluate interface stability and identify key residue contributions across simulation.

Routing note: This tool is the primary choice for protein-protein trajectory interface profiling (multi-frame analysis). For single-structure protein-protein interface analysis, use molclaw-interaction-visualizer in protein mode instead — it produces interface heatmaps, network diagrams, and decision-ready JSON.

Input Source Mapping

Parameter Source Guidance
topology_path System topology from MD tools: e.g., protein_openmm_md, prepare_protein_md, goca_pipeline
trajectory_path Trajectory from the same MD tools, containing dynamic information for both protein chains
selection_a User-defined selection string for protein chain A, for example segid A or protein and chainid A
selection_b User-defined selection string for protein chain B, for example segid B or protein and chainid B

Usage

Tool: prolif_protein_protein

Analyze a protein-protein trajectory and return interaction fingerprints or counts with summary metrics.
Args:
    topology_path (str): Path to the system topology file.
    trajectory_path (str): Path to the trajectory file.
    selection_a (str): Selection string for partner A.
    selection_b (str): Selection string for partner B.
    interactions (List[str]|None): Optional interaction types to compute.
    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.
Return:
    status (str): 'success' or 'error'.
    msg (str): Human-readable summary or error message.
    command (str): The executed command label ('protein-protein').
    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 · 104 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. 11d ago First seen · 104 lines · 27 tokens per session scan A 33dacb5168b2

Subscribe to this mod's changes

molclaw-prolif-protein-protein 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 1,043 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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