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 configure-animationgit 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/configure-animation)<a href="https://agentmods.dev/skills/playcanvas/create-playcanvas/configure-animation"><img src="https://agentmods.dev/badge/skills/playcanvas/create-playcanvas/configure-animation/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/configure-animation"><img src="https://agentmods.dev/badge/skills/playcanvas/create-playcanvas/configure-animation.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 | $0.00059 | $0.00539 |
| Opus 5 | $0.00030 | $0.00269 |
| Sonnet 5 | $0.00012 | $0.00108 |
| Haiku 4.5 | $0.00006 | $0.00054 |
Grade A, and why
configure-animation 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 9d 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:
- configure-animation — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Animation setup
Use the inspect-glb skill first. Never guess clip or joint names.
Choose the smallest playback model
- Use the selected authoring surface's simple playback path for a single clip.
- Use an
AnimStateGraphfor locomotion blending, transitions, or event-driven actions. - Adapt the official animation examples with the
find-examplesskill instead of writing a state graph from memory.
Keep blend inputs valid
Clamp every 1D blend parameter to the first and last child points before updating it. PlayCanvas does not clamp values outside that span: every child can receive zero weight and synchronized clips can receive non-finite speeds, freezing the pose. Exercise the first, interior, and last blend points with real gameplay input.
Retarget only compatible rigs
For each source animationTargets entry, remove its final .translation, .rotation, .scale, or
.weights suffix and match the remaining path against the destination's nodePaths. The top-level
model root may differ; the remaining parent chain must match. Equal joint counts or similar bone
names are insufficient. Confirm the result in the running app as the apply-conventions skill
describes; frozen, partial, or exploded motion means the rigs are incompatible.
Prove playback
An assigned clip, active state, or advancing state time does not prove that the skeleton is moving. For clips expected to move, sample the local position or rotation of two non-root joints over several rendered frames. Require a finite animation speed, active-state time, and progress, and confirm pose changes at idle and at both ends of each blend tree. Zero joint motion indicates a binding, playback, or blend-weight failure even when reported state names look correct.
Diagnose failures
- A T-pose usually means no clip was assigned, target paths differ, or animation is attached outside the rendered hierarchy.
- Put scale on a model wrapper, not skinned bones.
- Match playback rate to real movement speed when visible foot sliding matters.
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.
- 9d ago First seen · 51 lines · 59 tokens per session scan A cec5a4617e44
configure-animation is a skill published in the GitHub repository playcanvas/create-playcanvas (53 stars, last pushed today), licensed MIT. It adds 59 tokens to every session and 539 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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