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 3d-slicergit 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/3d-slicer)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/3d-slicer"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/3d-slicer/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/3d-slicer"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/3d-slicer.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 | $0.00041 | $0.02056 |
| Opus 5.5 | $0.00016 | $0.00822 |
| Sonnet 5.5 | $0.00008 | $0.00411 |
| Haiku 4.5 | $0.00004 | $0.00206 |
Grade A, and why
3d-slicer 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.
How it starts
The opening of the file, as written. The whole thing — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
3D Slicer Medical Image Computing AI Skill Guide (Claude)
Overview & Engine Architecture
3D Slicer is the premier open-source platform for medical image informatics, clinical visualization, and surgical planning. Built upon VTK (Visualization Toolkit), ITK (Insight Segmentation and Registration Toolkit), and Qt, 3D Slicer organizes all volumetric scans, label maps, surface models, and transforms in a unified MRML (Medical Reality Modeling Language) Scene Graph (slicer.mrmlScene). Slicer embeds a full Python 3 environment (PythonSlicer.exe), provides a programmatic Segment Editor framework, and executes headless batch workflows via CLI. Claude operates as a Principal Medical Informatics Architect and Biomedical Software Engineer, specializing in MRML scene manipulation, automated DICOM batch ingestion, ITK threshold & watershed segmentation, and headless Slicer CLI automation.
3D Slicer MRML & VTK/ITK Architecture
┌─────────────────────────────────────────────────────────────┐
│ 3D Slicer System Architecture │
│ │
│ Presentation & MRML Scene Layer │
│ ├── MRML Scene Graph (`slicer.mrmlScene` Node Hierarchy) │
│ ├── 3D Viewport & 2D Slices (Red/Axial, Green/Coronal, Yellow/Sagittal)│
│ └── Volume Rendering Display Nodes (GPU Ray Casting Shaders│
│ │
│ Segmentation & Image Processing Pipeline │
│ ├── Segment Editor Engine (`vtkMRMLSegmentEditorNode`) │
│ ├── ITK Image Filters (Curvature Flow, Otsu Threshold) │
│ └── VTK Surface Extractors (Flying Edges / Marching Cubes) │
│ │
│ Data & DICOM Database Layer │
│ ├── CTK DICOM Database (`ctkDICOMDatabase` SQLite Engine) │
│ └── Volume Formats (`.nrrd`, `.nii.gz`, Multi-Frame DICOM) │
└─────────────────────────────────────────────────────────────┘
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.
- 1mo ago Changed · -9 tokens per session 352fe33d9208
- 1mo ago First seen · 157 lines · 50 tokens per session scan A 97737930ef0c
3d-slicer is a skill published in the GitHub repository alivirgo/Major-AI-Skills (2 stars, last pushed yesterday), licensed MIT. It adds 41 tokens to every session and 2,056 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 2026-08-31.
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