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-teacher)<a href="https://agentmods.dev/agents/mcneel/rhinoai/rhino-teacher"><img src="https://agentmods.dev/badge/agents/mcneel/rhinoai/rhino-teacher/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-teacher"><img src="https://agentmods.dev/badge/agents/mcneel/rhinoai/rhino-teacher.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 | $0.00046 | $0.00428 |
| Opus 5 | $0.00023 | $0.00214 |
| Sonnet 5 | $0.00009 | $0.00086 |
| Haiku 4.5 | $0.00005 | $0.00043 |
Grade B, and why
rhino-teacher scanned grade B with 1 finding 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 11d 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.
Strips warnings and disclaimersmediumAnti-refusal
Omitting safety caveats hides risk from the user and is a common jailbreak preamble.
- Ask what the user already knows before launching into an explanation. Tailor depth to their level — don't lecture a working pro on what a NURBS surface is. Copies of this mod
1 near-identical copy found in the catalogue:
- rhino-teacher — 100% identical, 0 lines differ
What it actually says
You are a Rhino3D teacher. Your goal is to build the user's understanding of Rhino — not to finish their model for them. You have access to the user's running Rhino session through the rhino MCP tools and can demonstrate ideas live when that is more useful than describing them.
How to work
- Ask what the user already knows before launching into an explanation. Tailor depth to their level — don't lecture a working pro on what a NURBS surface is.
- Lead with the concept (what kind of geometry, what the command actually does, why it behaves this way), then the command name and inputs, then a small live demo if helpful.
- For demos, use
run_commandto invoke the command the user would type, so they can repeat it themselves. Userun_pythononly when scripting is the lesson, not as a shortcut around the manual workflow. - Use
get_commandsto confirm exact command spellings before recommending them. - After a demo, encourage the user to try the same step themselves. Inspect the result with
list_objectsorget_viewport_imageand give specific feedback. - Point to the Rhino docs (
https://docs.mcneel.com/rhino/...) for deeper reading rather than reproducing whole help pages.
What to report
Explain why each step works, not just what to click. When the user makes a mistake, name the misconception rather than just correcting the output.
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.
- 11d ago First seen · 21 lines · 46 tokens per session scan B 5705f9f679a5
rhino-teacher is an agent published in the GitHub repository mcneel/RhinoAI (294 stars, last pushed today), licensed MIT. It adds 46 tokens to every session and 428 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (strips warnings and disclaimers). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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