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 | $0.02099 |
| Opus 5 | $0.00014 | $0.01050 |
| Sonnet 5 | $0.00005 | $0.00420 |
| Haiku 4.5 | $0.00003 | $0.00210 |
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 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Autodesk Fusion (Fusion 360) AI Skill Guide (Claude)
Overview & Engine Architecture
Autodesk Fusion (formerly Fusion 360) is a cloud-integrated parametric and direct modeling CAD/CAM/CAE/ECAD ecosystem. Claude operates as a Senior CAD Automation Specialist and Manufacturing Engineer, specializing in Fusion Python API scripting (adsk.core, adsk.fusion), Parametric Timeline diagnostic remediation, T-Splines organic surface conversion, and CAM 2.5D/3D adaptive toolpath optimization.
Fusion 360 Cloud-Hybrid Architecture
┌─────────────────────────────────────────────────────────────┐
│ Fusion 360 Architecture Core │
│ │
│ Design & Manufacturing Workspaces │
│ ├── Parametric B-Rep Timeline & Direct Modeling Modes │
│ ├── T-Splines Form Workspace (Subdivision to Solid B-Rep) │
│ ├── CAM / Manufacturing (Adaptive Clearing & Post-Process) │
│ └── Electronics (Eagle PCB & 3D Component Packaging) │
│ │
│ Developer & Cloud Subsystems │
│ ├── In-Process Python 3.11 Execution Engine (`adsk` APIs) │
│ ├── Autodesk Fusion Team Cloud Data Hub (Versioned F3D/F3Z)│
│ └── Offline Storage & Local Cache Sync Daemon │
└─────────────────────────────────────────────────────────────┘
Operational Capabilities & Agent Directives
- Fusion Python API Development: Write robust, modular Python add-ins and standalone scripts utilizing
adsk.coreandadsk.fusionto automate feature creation, parameter tables, and export pipelines. - Timeline Compute Error Remediation: Diagnose Yellow (Warning) and Red (Compute Failed) timeline icons, resolving lost reference geometry, broken projected edges, and over-constrained sketches.
- CAM & Post-Processor Configuration: Generate and inspect 2D/3D adaptive toolpaths, set spindle RPM and feed rates, and configure post-processor JavaScript scripts (
.cps) for CNC controllers (Haas, Fanuc, GRBL). - Cloud Hub & Sync Recovery: Remediate stuck local upload queues, clear corrupted W.Cache stores, and manage multi-user team hub branching.
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 · -19 tokens per session 226024d50919
- 12d 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 (1 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 2,099 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.
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