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 devinilabs/pro-skill --skill unicorn-studiogit clone --depth 1 https://github.com/devinilabs/pro-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/skills/devinilabs/pro-skill/unicorn-studio)<a href="https://agentmods.dev/skills/devinilabs/pro-skill/unicorn-studio"><img src="https://agentmods.dev/badge/skills/devinilabs/pro-skill/unicorn-studio.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 | $0.00032 | $0.00657 |
| Opus 5 | $0.00016 | $0.00329 |
| Sonnet 5 | $0.00006 | $0.00131 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
unicorn-studio 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 5d 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.
This is a copy
100% identical to unicorn-studio — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Unicorn Studio — No-code WebGL Scenes (Embed/SDK) Skill
When to use
- Designers want custom WebGL visuals without hand-coding shaders/three.js
- You need “designed” effects layered with text/images/video, with built-in interactivity
- Site builders: Framer, Webflow, Wix, Figma Sites, etc.
What it is
- A scene editor (layers + effects + events) that exports:
- Embed via Unicorn Studio SDK (small JS library)
- Or JSON/code export for faster/self-hosted loading (plan-dependent)
Key embed patterns
- Load SDK (can be in
<head>or footer depending on above-the-fold):- UMD from jsDelivr (versioned)
- Call
UnicornStudio.init()once DOM is ready
- Add attributes to a container element:
data-us-project="PROJECT_ID"- Optional performance/behavior params:
data-us-scale(render scale)data-us-dpi(resolution multiplier)data-us-fps(cap FPS)data-us-lazyload="true"data-us-production="true"
- Optional JSON source:
data-us-project-src="https://.../scene.json.txt"
Events (authoring-side)
- Appear (entrance), Scroll (progress/velocity), Hover, Mousemove
- Use events for “feels interactive” without writing JS.
Common pitfalls
- Container has no defined dimensions → scene won’t display
- Ensure the element with
data-us-projecthas width/height.
- Ensure the element with
- Too many scenes on one page → WebGL context limits + memory
- Prefer <10 scenes/page; WebGL context max ~16.
- Performance on low-end devices
- Use
data-us-scale/data-us-dpi/data-us-fps; reduce dynamic layers/effects.
- Use
- Site builder preview limitations
- Many builders won’t render in edit mode; must preview/publish to see it.
Quick recipes
1) Basic embed container
<div style="width: 100%; height: 420px" data-us-project="YOUR_PROJECT_ID"></div>
2) Performance-first embed
<div
style="width: 100%; height: 420px"
data-us-project="YOUR_PROJECT_ID"
data-us-lazyload="true"
data-us-production="true"
data-us-scale="0.75"
data-us-dpi="1.25"
data-us-fps="45"
></div>
What ships with it
4 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.
- 5d ago First seen · 72 lines · 32 tokens per session scan A 580b4ff727af
unicorn-studio is a skill published in the GitHub repository devinilabs/pro-skill (23 stars, last pushed 26d ago), licensed MIT. It adds 32 tokens to every session and 657 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to unicorn-studio, differing in 0 lines, and is treated as a copy.
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