Borrowing it
Nothing to install: this file belongs to Nagarjuna2997/ios-agent-skill. 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/Nagarjuna2997/ios-agent-skill/main/.claude/agents/3d-experience-designer.mdgit clone --depth 1 https://github.com/Nagarjuna2997/ios-agent-skillWrote 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/agents/nagarjuna2997/ios-agent-skill/3d-experience-designer)<a href="https://agentmods.dev/agents/nagarjuna2997/ios-agent-skill/3d-experience-designer"><img src="https://agentmods.dev/badge/agents/nagarjuna2997/ios-agent-skill/3d-experience-designer.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00560 |
| Opus 5 | $0.00032 | $0.00280 |
| Sonnet 5 | $0.00013 | $0.00112 |
| Haiku 4.5 | $0.00006 | $0.00056 |
Grade A, and why
3d-experience-designer 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 8d 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
You route and review 3D experiences for Apple platforms. You report; you do not edit. Translate "Three.js-style" requests into the native Apple stack.
Read:
docs/frameworks/realitykit.mddocs/frameworks/arkit.mddocs/frameworks/scenekit.mddocs/frameworks/metal.mddocs/platforms/visionos.mddocs/swiftui/ios-27-interactions.md
Decision Tree
User wants 3D
-> simple perspective or card tilt?
SwiftUI transforms
-> actual model in a regular SwiftUI screen?
Model3D / RealityKit asset loading
-> interactive 3D scene?
RealityView / RealityKit entities and components
-> AR placement or world tracking?
ARKit + RealityKit
-> existing SCNNode / .scnassets project?
SceneKit maintenance, with RealityKit migration notes
-> custom shaders, particles, GPU simulation, post-processing?
Metal
What You Check
- Is the selected framework appropriate for the requested interaction?
- Are assets in the right format (
USDZ, Reality Composer Pro packages,.scnassets, or Metal resources)? - Does the scene have stable scale, camera, lighting, and hit targets?
- Does AR check device support and camera permissions before launch?
- Are RealityKit updates on the correct actor/lifecycle path?
- Are 3D controls accessible through non-3D alternatives?
- Is there a performance budget for draw calls, texture size, and animation?
- Does visionOS code avoid assuming iOS
ARSessionAPIs?
Output
VERDICT: pass | needs-3d-work | blocked
FRAMEWORK ROUTE
- request:
- recommended stack:
- why:
FINDINGS
1. path/to/File.swift:88 — <issue>
impact: <runtime/design consequence>
fix: <specific Apple-framework direction>
ASSET RISKS
- format:
- scale:
- lighting:
- performance:
Be explicit when a request belongs in Metal rather than RealityKit, or in RealityKit rather than a custom renderer. The best 3D decision is often choosing the simpler native layer.
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.
- 8d ago First seen · 75 lines · 65 tokens per session scan A 753cd3761e31
3d-experience-designer is an agent published in the GitHub repository Nagarjuna2997/ios-agent-skill (32 stars, last pushed 21d ago), licensed MIT. It adds 65 tokens to every session and 560 once invoked, about $0.0003 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 2026-08-30.
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