Borrowing it
Nothing to install: this file belongs to aphollis/fusion-spatial-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aphollis/fusion-spatial-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/aphollis/fusion-spatial-mcpWrote 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/instructions/aphollis/fusion-spatial-mcp/claude-md)<a href="https://agentmods.dev/instructions/aphollis/fusion-spatial-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/aphollis/fusion-spatial-mcp/claude-md/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/instructions/aphollis/fusion-spatial-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/aphollis/fusion-spatial-mcp/claude-md.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 | $0.00427 | $0.00427 |
| Opus 5.5 | $0.00171 | $0.00171 |
| Sonnet 5.5 | $0.00085 | $0.00085 |
| Haiku 4.5 | $0.00043 | $0.00043 |
Grade A, and why
fusion-spatial-mcp CLAUDE.md 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 2mo 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.
What it actually says
fusion-spatial-mcp — session context
Read docs/BUILD_PLAN.md FIRST — it is the authoritative, self-contained plan
with milestones, acceptance gates, Fusion-specific traps, and pointers into
the reference implementation. Follow its phase order (F0→F5); do not write
spatial tool code before the F2 conformance gate passes.
Hard rules:
- Design Fusion-native. This project is not a port of the Rhino server:
tool vocabulary, workflows, and agent guidance come from Fusion's own
concepts (timeline, features, constrained sketches, user parameters,
components). The sibling checkout
../rhino-gh-mcpis an infrastructure donor only: a source of engineering patterns (TCP bridge, threading, token efficiency).spatial-corelives in its own sibling repo../spatial-core(consumed viafile:dependency — never fork/copy its source). Do not carry Grasshopper concepts or names across. - Never run generated code against the user's live Fusion session without asking first. Compile-check offline; batch live testing into agreed steps.
- Fusion API traps: internal units are ALWAYS centimeters (convert to the design's default display unit at the adapter); documents are commonly Y-up (report the actual axis); use entityToken as body id; API calls only on the main thread via CustomEvent marshaling; listener binds WITHOUT SO_REUSEADDR.
- This repo is public — no machine-specific paths or private details in
committed files. Machine tooling notes live in session memory, not here.
Validate add-in Python offline with any CPython 3.9+
py_compile. - Fusion 360 is installed (webdeploy production). Dev add-ins folder: %APPDATA%\Autodesk\Autodesk Fusion 360\API\AddIns\ (user has prior add-in experience — "Sheeter" add-in and the FusionRhinoBar project).
- Commit per milestone with concise messages; push to origin (public repo).
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.
- 2mo ago First seen · 30 lines · 427 tokens per session scan A 69aae7e7291b
fusion-spatial-mcp CLAUDE.md is an instructions file published in the GitHub repository aphollis/fusion-spatial-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 427 tokens to every session, about $0.0017 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.
fusion-spatial-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| fusion-spatial-mcp CLAUDE.mdaphollis/fusion-spatial-mcp | Instructions file | 0 | 3mo ago | MIT | A | 427 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |