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-visualize-proteingit 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-protein)<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-visualize-protein"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-visualize-protein/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/internscience/molclaw/molclaw-visualize-protein"><img src="https://agentmods.dev/badge/skills/internscience/molclaw/molclaw-visualize-protein.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00058 | $0.00402 |
| Opus 5.5 | $0.00023 | $0.00161 |
| Sonnet 5.5 | $0.00012 | $0.00080 |
| Haiku 4.5 | $0.00006 | $0.00040 |
Grade A, and why
molclaw-visualize-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 1mo 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 Protein Visualization
Invocation
Use the exact tool name and parameter schema exposed by the current harness.
Use the live MCP tool visualize_protein when the task needs an image of a
protein structure from a PDB file.
This tool renders the structure only. It does not repair a PDB or calculate
protein–ligand interactions. Use fix_pdb before visualization when structural
cleanup is required, and use interaction_visualizer for residue-level
interaction analysis.
Input
The live schema has one required field:
| Field | Type | Meaning |
|---|---|---|
pdb_file_path |
string | Server-side path to a PDB file |
Use the path returned by protein retrieval, prediction, or fix_pdb. For a
local PDB, upload it with the MolClaw file-transfer tool first. Do not pass a
local workspace path or fabricate a server path.
Arguments
{"pdb_file_path":"/server/path/protein.pdb"}
Output
On success, the result contains:
status: "success"msgimage_path: server-generated PNG path
Treat the returned PNG path as the authoritative visualization artifact and preserve it exactly for downstream calls.
If the tool reports a missing or invalid PDB, preserve the error observation, obtain or repair a valid server-side PDB, and retry only when justified.
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.
- 1mo ago Changed · +25 tokens per session 36fe6832177b
- 1mo ago First seen · 55 lines · 33 tokens per session scan A 94dba2f544e4
molclaw-visualize-protein is a skill published in the GitHub repository InternScience/MolClaw (38 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 402 once invoked, about $0.0002 per session on Opus 5.5. 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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