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 agentmods add skills/internscience/molclaw/molclaw-visualize-moleculenpx skills add InternScience/MolClaw --skill molclaw-visualize-moleculegit 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-visualize-molecule)<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-visualize-molecule"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-visualize-molecule.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00037 | $0.00416 |
| Opus 5 | $0.00018 | $0.00208 |
| Sonnet 5 | $0.00007 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00042 |
Grade A, and why
molclaw-visualize-molecule 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 2d 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.
What it actually says
MolClaw Molecule Visualization
Use the live MCP tool visualize_molecule when the task needs a simple molecular
structure image.
This tool produces a depiction only. It does not calculate molecular properties
or protein–ligand interactions. Use interaction_visualizer instead when the
task requires residue-level interaction analysis.
Input
The live schema has one required field:
| Field | Type | Meaning |
|---|---|---|
input |
string | A SMILES string or a server-side .sdf, .smi, .smiles, or .mol path |
For a local molecular file, upload it with the MolClaw file-transfer tool first and pass the returned server-side artifact path. Do not invent a server path.
MCP call
From a SMILES string:
<tool_call>{"tool_name":"visualize_molecule","arguments":{"input":"CCO"}}</tool_call>
From a server-side artifact:
<tool_call>{"tool_name":"visualize_molecule","arguments":{"input":"<artifact:molecule/candidate.sdf>"}}</tool_call>
Output
On success, the result contains:
status: "success"msgimage_path: server-generated PNG path
Treat the returned image as the authoritative artifact. In Drug-Pipe online inference, the raw server path is converted to a canonical artifact reference before it is shown to the model or used in the final answer.
If the tool returns an error, preserve the observation and revise the input; do not claim that an image was created.
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.
- 2d ago First seen · 61 lines · 37 tokens per session scan A 4e3292b0e7f9
molclaw-visualize-molecule is a skill published in the GitHub repository InternScience/MolClaw (33 stars, last pushed 29d ago), licensed MIT. It adds 37 tokens to every session and 416 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 2026-09-03.
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