molclaw-chroma-toolkit

molclaw-chroma-toolkit is a skill for Claude Code, Codex from InternScience/MolClaw. It costs 44 tokens per session (1,832 once invoked), scanned A, original, MIT.

A protein-design toolkit for generating new single-chain proteins, assembling multi-chain proteins, and designing proteins with symmetry constraints. It uses Chroma and can work with CIF or PDB structure files.

In plain words
What is it for?
Use it to generate candidate monomer proteins, create multi-chain assemblies, design symmetry-constrained proteins, or prepare and validate runs using structure files.
Why use it?
It provides separate workflows for common exploratory protein-design tasks, while allowing parameter checks before running a model.

Skill for Claude CodeCodex

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

Good fit Use it to generate candidate monomer proteins, create multi-chain assemblies, design symmetry-constrained proteins, or prepare and validate runs using structure files.

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Install with agentmods
npx agentmods add skills/internscience/molclaw/molclaw-chroma-toolkit
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-chroma-toolkit
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-chroma-toolkit

README.md
[![agentmods](https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-chroma-toolkit.svg)](https://agentmods.dev/skills/internscience/molclaw/molclaw-chroma-toolkit)
Your own site
<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-chroma-toolkit"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-chroma-toolkit.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,832 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 $0.00044 $0.01832
Opus 5 $0.00022 $0.00916
Sonnet 5 $0.00009 $0.00366
Haiku 4.5 $0.00004 $0.00183

Measured 8d ago against content hash 3756d59f6318, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

molclaw-chroma-toolkit 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-chroma-toolkit/SKILL.md · 230 lines

How it starts

The opening of the file, as written. The whole thing — 230 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chroma Protein Generation 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.

Usage

1. Monomer Protein Generation

The description of tool chroma_monomer.

Generates a de novo single-chain protein candidate for exploratory protein design workflows.
Args:
    length (int): Number of residues in the monomer chain. Default: 100.
    steps (int): Diffusion sampling step count. Default: 500.
    device (str): Chroma execution device string. Default: 'cuda:0'.
    fmt (str): Output structure format, one of {'cif', 'pdb'}. Default: 'cif'.
    api_key (str|None): Optional Chroma API key for model access.
    dry_run (bool): If True, validate parameters and prepare output paths without model sampling. Default: False.
Return:
    status (str): 'success' or 'error'.
    msg (str): Human-readable execution summary.
    tool_name (str): Tool identifier 'chroma_monomer'.
    output_dir (str): Run-specific output directory under tool_result/chroma_toolkit_result.
    output_file (str): Target output structure file path.
    length (int): Effective residue length used in generation.
    steps (int): Effective sampling steps used in generation.
    device (str): Effective execution device.
    format (str): Effective output format.

How to use tool chroma_monomer :

response = await client.session.call_tool(
    "chroma_monomer",
    arguments={
        "length": 150,
        "steps": 500,
        "device": "cuda:0",
        "fmt": "cif",
        "dry_run": False
    }
)
result = client.parse_result(response)
output_file = result["output_file"]

Example parameter sets
# 1) Main mode
{
    "length": 150,
    "steps": 500,
    "device": "cuda:0",
    "fmt": "cif",
    "dry_run": False
}

# 2) Variant mode
{
    "length": 100,
    "steps": 50,
    "fmt": "cif",
    "dry_run": True
}

Read the full file on GitHub · 230 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 · 230 lines · 44 tokens per session scan A 3756d59f6318

Subscribe to this mod's changes

molclaw-chroma-toolkit is a skill published in the GitHub repository InternScience/MolClaw (33 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 1,832 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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