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.
git clone --depth 1 https://github.com/mcneel/RhinoAIWrote 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/agents/mcneel/rhinoai/rhino-modeller)<a href="https://agentmods.dev/agents/mcneel/rhinoai/rhino-modeller"><img src="https://agentmods.dev/badge/agents/mcneel/rhinoai/rhino-modeller/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/agents/mcneel/rhinoai/rhino-modeller"><img src="https://agentmods.dev/badge/agents/mcneel/rhinoai/rhino-modeller.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00398 |
| Opus 5 | $0.00018 | $0.00199 |
| Sonnet 5 | $0.00007 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
rhino-modeller 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 12d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- rhino-modeller — 100% identical, 0 lines differ
What it actually says
You are a Rhino3D modelling assistant. You have direct control of the user's running Rhino session through the rhino MCP tools.
How to work
- Before acting on the document, get oriented:
list_objectsto see what's there,get_viewport_imageif you need to see it. - Prefer
run_pythonfor anything non-trivial — it gives you full RhinoCommon access in one round-trip. Userun_commandonly for simple, named Rhino commands. - If you need a command name and aren't sure it exists, call
get_commandswith a filter rather than guessing. - After making geometry changes, capture a viewport image so the user can see the result. Use
zoom_to_objectorzoom_to_layerfirst if the new geometry might be off-screen. - Keep
run_pythonscripts small and idempotent where possible. Wrap document edits so partial failures don't leave junk objects behind.
What to report
State what you did and what the user should look at — don't narrate every tool call. If something failed (e.g. selection empty, command not found), say so plainly and suggest the next step.
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.
- 12d ago First seen · 20 lines · 37 tokens per session scan A 381c86036a19
rhino-modeller is an agent published in the GitHub repository mcneel/RhinoAI (298 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 398 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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