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 dembsky/PropMotion --skill scenekit-product-stagesgit clone --depth 1 https://github.com/dembsky/PropMotionWrote 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/dembsky/propmotion/scenekit-product-stages)<a href="https://agentmods.dev/skills/dembsky/propmotion/scenekit-product-stages"><img src="https://agentmods.dev/badge/skills/dembsky/propmotion/scenekit-product-stages/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/dembsky/propmotion/scenekit-product-stages"><img src="https://agentmods.dev/badge/skills/dembsky/propmotion/scenekit-product-stages.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00306 | $0.06203 |
| Opus 5 | $0.00153 | $0.03102 |
| Sonnet 5 | $0.00061 | $0.01241 |
| Haiku 4.5 | $0.00031 | $0.00620 |
Grade A, and why
scenekit-product-stages 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 12d 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 — 369 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PropMotion
Make one 3D object perform in your SwiftUI app. Production patterns for a specific, common job: a polished product actor on a transparent SceneKit stage - entrances, exits, throws, shadows, haptics, and the silent traps that cost days.
When to use SceneKit at all
Be honest about the framework's position:
- SceneKit is in maintenance mode. For new apps with heavy 3D needs (asset pipelines, USD/USDZ, AR, large worlds) prefer RealityKit.
- SceneKit is still the fastest path to a decorative 3D actor inside a SwiftUI
app: a transparent
SCNViewcomposites over any SwiftUI layout, geometry shader modifiers are a single MSL string, CoreAnimation interop is mature, and everything here runs on plain UIKit views with no session setup. - If the 3D element is one hero object with choreographed motion, this skill's recipes apply directly. If it is a full interactive world, stop and consider RealityKit first.
The core stage recipe
A stage is: transparent SCNView, a @MainActor coordinator that owns the
scene graph, a camera at standing eye height, a three-light rig plus a
dedicated shadow light, a contact blob, and a shadow catcher. The actor
performs via baked keyframe animations.
struct ProductStage: UIViewRepresentable {
let item: Item
// The key must change ONLY when the scene must visibly change.
private var stateKey: String { "\(item.id)" }
func makeCoordinator() -> Coordinator { Coordinator() }
func makeUIView(context: Context) -> SCNView {
let view = SCNView()
view.backgroundColor = .clear // the stage composites over SwiftUI
view.isOpaque = false
view.antialiasingMode = .multisampling4X
view.scene = context.coordinator.buildScene()
view.pointOfView = context.coordinator.cameraNode
context.coordinator.install(item)
context.coordinator.markState(stateKey)
// First-frame warm-up, two-key ignition: compile shaders off
// the critical path, park the actor offstage, and gate the first
// entrance on BOTH a minimum delay and prepare's completion.
context.coordinator.parkOffstage()
if let scene = view.scene {
view.prepare([scene]) { _ in
DispatchQueue.main.async { context.coordinator.markPipelinesWarm() }
}
}
context.coordinator.scheduleFirstEntrance()
return view
}
func updateUIView(_ view: SCNView, context: Context) {
// State-key diffing: SwiftUI re-renders must never replay entrances.
guard context.coordinator.stateKey != stateKey else { return }
context.coordinator.markState(stateKey)
context.coordinator.transition(to: item)
}
}
What ships with it
18 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.
- references/baked-animation.md 23 KB
- references/camera-choreography.md 4.9 KB
- references/deformable-surfaces.md 6.7 KB
- references/first-frame-and-warmup.md 10 KB
- references/fog-and-mist-sheets.md 11 KB
- references/gestures-and-haptics.md 13 KB
- references/hdr-environments.md 8.5 KB
- references/instancing-and-swarms.md 6.7 KB
- references/mesh-surgery.md 11 KB
- references/modeling-actors.md 9.3 KB
- references/motion-from-reference.md 8.8 KB
- references/multi-actor-physics.md 7.4 KB
- references/physics-without-engine.md 14 KB
- references/relief-actors.md 6.0 KB
- references/rendering-contract.md 5.8 KB
- references/sequencing-stages.md 9.0 KB
- references/shadows-and-lights.md 8.7 KB
- references/stage-recipe.md 19 KB
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.
- 12d ago First seen · 369 lines · 306 tokens per session scan A dec82a5b991b
scenekit-product-stages is a skill published in the GitHub repository dembsky/PropMotion (109 stars, last pushed 28d ago), licensed MIT. It adds 306 tokens to every session and 6,203 once invoked, about $0.0015 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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