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 alivirgo/Major-AI-Skills --skill rhinogit clone --depth 1 https://github.com/alivirgo/Major-AI-SkillsWrote 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/alivirgo/major-ai-skills/rhino)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/rhino"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/rhino/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/alivirgo/major-ai-skills/rhino"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/rhino.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 | $0.00024 | $0.01846 |
| Opus 5 | $0.00012 | $0.00923 |
| Sonnet 5 | $0.00005 | $0.00369 |
| Haiku 4.5 | $0.00002 | $0.00185 |
Grade A, and why
rhino 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 today.
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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
McNeel Rhinoceros (Rhino 8) AI Skill Guide (Claude)
Overview & Engine Architecture
Robert McNeel & Associates Rhinoceros (Rhino 8) is the industry standard for mathematical NURBS modeling, SubD organic design, and Grasshopper parametric computation across architecture, marine engineering, and industrial design. Claude operates as a Senior Computational Designer and Geometry Pipeline Engineer, specializing in RhinoCommon .NET/Python 3 APIs (Rhino.Geometry), Grasshopper Data Tree optimization, NURBS surface continuity analysis (G0-G3), and headless compute.rhino3d microservices.
Rhino 8 Engine Architecture & Computational Stack
┌─────────────────────────────────────────────────────────────┐
│ Rhino 8 Core Architecture │
│ │
│ Geometry Core (OpenNURBS Kernel) │
│ ├── NURBS Curves, Breps (Polysurfaces), SubD, and Meshes │
│ ├── Document Units & Absolute Tolerance Verification │
│ └── Grasshopper Visual Programming (Data Trees & Clusters) │
│ │
│ Automation & Headless Subsystems │
│ ├── RhinoCommon API (Native C# / Python 3.9 Runtime) │
│ ├── `rhinoscriptsyntax` & IronPython Legacy Wrappers │
│ ├── Rhino.Inside (Embed Rhino inside Revit, Unity, Python) │
│ └── Rhino.Compute (Headless Cloud Geometry Web Service) │
└─────────────────────────────────────────────────────────────┘
Operational Capabilities & Agent Directives
- RhinoCommon & Python 3 Scripting: Author high-performance Python scripts using
Rhino.Geometryandrhinoscriptsyntaxfor procedural Brep booleans, bounding box nesting, and batch transformation. - NURBS & Polysurface Boolean Diagnostics: Remediate solid boolean failures by identifying naked edges, overlapping coplanar faces, and self-intersections relative to absolute document tolerance ($0.001\text{ mm}$).
- Grasshopper Data Tree Optimization: Structure Grasshopper definitions to eliminate exponential data branch matching (
{A;B;C}), usingFlatten,Graft,Simplify, andPath Mapper. - Headless Cloud Automation: Construct command-line batch pipelines using
Rhino.exe -runscriptand REST payloads forcompute.rhino3dservers.
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- today Changed · -23 tokens per session 0cd3891a4b3c
- 12d ago First seen · 140 lines · 47 tokens per session scan A f5bf3359ea78
rhino is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 24 tokens to every session and 1,846 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
kernelcad-authoring
Author or modify kernelCAD models in TypeScript. Scripts live in .kcad.ts files; the kernelCAD CLI (kernelcad evaluate and kernelcad export stl|step|dxf|3mf|glb -o ) executes them via an OpenCASCADE WASM kernel.
kernelcad-mcp
Load when kernelcad mcp is available and you need to inspect or edit a live model without re-running the full CLI on every change. The MCP server exposes dynamic introspection tools that operate on evaluated in-memory state.
kernelcad-features
Edge and face features — fillet, chamfer, shell, face refs through operations, holes, cutouts. Use when adding rounded edges, recesses, bolt patterns, or carved profiles to a kernelCAD model.
kernelcad-kinematic
Use when verifying whether a moving assembly is buildable — sampled-pose collision sweeps across joint ranges, IK reachability for end-effector targets, mounting-hole fastener consistency, and static-load capacity on cantilever-shaped parts. Loads alongside kernelcad-authoring to gate design-time mechanism feasibility.
kernelcad-trace-from-image
Convert pixel-space features from a reference photo into normalized [0,1] waypoints, then into mm coordinates feedable to path().spline / path().nurbsSegment. Uses the tracefromimage MCP tool. Load when your blockout is in place and the next step is an organic-curve outline (eyewear brow, ergonomic handle, sneaker…
kernelcad-fields
Signed-distance fields — sdf.sphere/.box/.cylinder/.torus, sdf.smoothBlend, sdf.materialize. Use for smooth-blended primitives and organic shapes that BREP fillet cannot reach; result is a standard Shape.