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.
npx skills add InternScience/MolClaw --skill molclaw-chroma-toolkitgit clone --depth 1 https://github.com/InternScience/MolClawWrote 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.
[](https://agentmods.dev/skills/internscience/molclaw/molclaw-chroma-toolkit)<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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-transferbefore execution. - For PDB file inputs, it is recommended to preprocess them using
molclaw-pdbfixerbefore execution. - Please refer to skill
molclaw-scp-serverto 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
}
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.
- 8d ago First seen · 230 lines · 44 tokens per session scan A 3756d59f6318
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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