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 playcanvas/create-playcanvas --skill assemble-scenegit clone --depth 1 https://github.com/playcanvas/create-playcanvasWrote 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/playcanvas/create-playcanvas/assemble-scene)<a href="https://agentmods.dev/skills/playcanvas/create-playcanvas/assemble-scene"><img src="https://agentmods.dev/badge/skills/playcanvas/create-playcanvas/assemble-scene/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/playcanvas/create-playcanvas/assemble-scene"><img src="https://agentmods.dev/badge/skills/playcanvas/create-playcanvas/assemble-scene.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 | $0.00036 | $0.00319 |
| Opus 5.5 | $0.00014 | $0.00128 |
| Sonnet 5.5 | $0.00007 | $0.00064 |
| Haiku 4.5 | $0.00004 | $0.00032 |
Grade A, and why
assemble-scene 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 23d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- assemble-scene — 100% identical, 0 lines differ
What it actually says
Scene assembly
Each scene object has one named root. Put position, heading, rigidbody, collision, and
scripts on the root, and the calibrated visual from calibrate-model below it. Apply calibration
once; if the tuning record is missing, calibrate first.
- Name roots by role, with predictable names for repeated instances.
- Size colliders from measured bounds and keep them aligned with render bounds.
- Space roots by the scaled footprint in the tuning record, not by pivot position. A non-90° yaw rotates the footprint, so reserve its larger horizontal extent.
- Keep UI, effects, cameras, and lights outside model hierarchies.
- Remove the root through its surface's lifecycle and unregister events it owns.
- Rigid bodies need Ammo loaded first (
build-app).
Check placement
After a rendered frame, measure each support or attachment at the object's actual position, using
a mount point, raycast, or geometry sample read through inspect-runtime. A positive gap floats; a negative gap penetrates.
Overlapping world AABBs between unrelated roots are a failure unless two different views prove the
overlap is empty space.
Read only the reference matching the code: direct Engine, React, or Web Components.
What ships with it
3 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.
- 23d ago Changed 92fb56aea5ee
- 24d ago Changed · -25 lines · -9 tokens per session 12f8ddc262c0
- 1mo ago First seen · 54 lines · 45 tokens per session scan A f0b4c8bb770f
assemble-scene is a skill published in the GitHub repository playcanvas/create-playcanvas (61 stars, last pushed today), licensed MIT. It adds 36 tokens to every session and 319 once invoked, about $0.0001 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 2026-08-30.
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