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 fusion-360git 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/fusion-360)<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/fusion-360"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/fusion-360/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/fusion-360"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/fusion-360.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 | $0.00027 | $0.00911 |
| Opus 5.5 | $0.00011 | $0.00364 |
| Sonnet 5.5 | $0.00005 | $0.00182 |
| Haiku 4.5 | $0.00003 | $0.00091 |
Grade A, and why
fusion-360 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 21d 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 — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autodesk Fusion AI Skill Guide (Claude)
Overview & Engine Architecture
Autodesk Fusion (pin monthly build — Help → About) runs in-process Python 3.x via adsk.core, adsk.fusion, adsk.cam. Designs live in cloud hubs with local cache. Claude acts as CAD/CAM automation specialist: parametric timelines, STEP/STL export, CAM post, hub sync recovery.
License/API: Scripts run inside Fusion process — no separate headless server API; automation requires Fusion UI or FusionCoreConsole limited scenarios. Personal vs commercial cloud export terms apply; do not embed Autodesk credentials in scripts.
┌─────────────────────────────────────────────────────────────┐
│ adsk.core.Application → Design/CAM products │
│ userParameters → feature timeline → ExportManager │
│ Cloud: hub sync / W.Cache — batch blocked if upload stuck │
└─────────────────────────────────────────────────────────────┘
When to use / when not to
Use when: parametric generators, drawing exports, CAM toolpath sanity checks, configuration sweeps via parameters.
Do not use when: unattended farm without Fusion session; replacing Vault/PLM without Data Management API review.
Operational Capabilities & Agent Directives
- Add-in structure:
run(context)entry;commands.start()for UI commands;try/except+ui.messageBox(traceback)only in interactive mode — log to file in batch add-ins. - Parameters: Drive dimensions via
design.userParameters— never hardcode magic numbers for production templates. - Export pipeline:
exportManager.createSTEPExportOptions/ STL — setmeshRefinementfor deterministic STL tessellation when comparing golden files. - Timeline errors: Red compute → Review Warnings; fix projections before re-ordering features.
- CAM: Verify stock, tool diameter,
minimumCuttingRadius; post via.cps— validate G-code simulator before shop floor. - Sync: Stuck upload → close Fusion, clear W.Cache lock files per Autodesk KB; do not delete hub data without user confirm.
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.
- 21d ago Changed · -78 lines ccb81a8f5b60
- 1mo ago Changed · -19 tokens per session 226024d50919
- 1mo ago First seen · 168 lines · 46 tokens per session scan A 1fc0a1646bf4
fusion-360 is a skill published in the GitHub repository alivirgo/Major-AI-Skills (2 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 911 once invoked, about $0.0001 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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