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 agentmods add skills/abdullah4ai/apple-developer-toolkit/visionos-patternsnpx skills add Abdullah4AI/apple-developer-toolkit --skill visionos-patternsgit clone --depth 1 https://github.com/Abdullah4AI/apple-developer-toolkitWhat 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 | $0.00066 | $0.01069 |
| Opus 5 | $0.00033 | $0.00535 |
| Sonnet 5 | $0.00013 | $0.00214 |
| Haiku 4.5 | $0.00007 | $0.00107 |
Grade A, and why
visionos-patterns 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 2d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
visionOS Platform Patterns
Three Scene Types
- Windows — 2D SwiftUI content in a glass panel (default)
- Volumes — 3D content in a bounded box
- Immersive Spaces — full spatial experience around the user
RealityKit Entity Loading
import RealityKit
// In a RealityView
RealityView { content in
if let entity = try? await Entity(named: "Scene", in: realityKitContentBundle) {
// Add collision and input for interaction
entity.components.set(CollisionComponent(shapes: [.generateBox(size: [0.1, 0.1, 0.1])]))
entity.components.set(InputTargetComponent())
content.add(entity)
}
}
Entity Interaction
Entities need CollisionComponent + InputTargetComponent for user interaction:
RealityView { content in
let sphere = ModelEntity(mesh: .generateSphere(radius: 0.1))
sphere.components.set(CollisionComponent(shapes: [.generateSphere(radius: 0.1)]))
sphere.components.set(InputTargetComponent())
content.add(sphere)
} update: { content in
// Update entities
}
.gesture(
TapGesture()
.targetedToAnyEntity()
.onEnded { value in
// Handle tap on entity
}
)
Spatial Gestures
// Tap gesture on entities
.gesture(
TapGesture()
.targetedToAnyEntity()
.onEnded { value in
handleTap(on: value.entity)
}
)
// Drag gesture on entities
.gesture(
DragGesture()
.targetedToAnyEntity()
.onChanged { value in
value.entity.position = value.convert(value.location3D, from: .local, to: .scene)
}
)
ARKit in Immersive Spaces
ARKit is only available in Full Space (not Shared Space):
ImmersiveSpace(id: "full-immersive") {
RealityView { content in
// ARKit features available here
}
}
.immersionStyle(selection: .constant(.full), in: .full)
Observable Pattern
Use @Observable over ObservableObject:
@Observable
class AppModel {
var items: [Item] = []
var selectedItem: Item?
var isImmersive = false
}
// In App
@State private var model = AppModel()
WindowGroup {
ContentView()
.environment(model)
}
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.
- 2d ago First seen · 155 lines · 66 tokens per session scan A fdcf00b7018c
visionos-patterns is a skill published in the GitHub repository Abdullah4AI/apple-developer-toolkit (10 stars, last pushed 5d ago), licensed MIT. It adds 66 tokens to every session and 1,069 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 2026-08-31.
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