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 Kevin-Liu-01/Agent-Machines --skill lightweight-3d-effectsgit clone --depth 1 https://github.com/Kevin-Liu-01/Agent-MachinesWrote 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/kevin-liu-01/agent-machines/lightweight-3d-effects)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/lightweight-3d-effects"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/lightweight-3d-effects/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/kevin-liu-01/agent-machines/lightweight-3d-effects"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/lightweight-3d-effects.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00110 | $0.06812 |
| Opus 5 | $0.00055 | $0.03406 |
| Sonnet 5 | $0.00022 | $0.01362 |
| Haiku 4.5 | $0.00011 | $0.00681 |
Grade A, and why
lightweight-3d-effects 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 7d 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 lightweight-3d-effects — 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 — 1,092 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lightweight 3D Effects Skill
Overview
This skill combines three powerful libraries for decorative 3D elements and micro-interactions:
- Zdog: Pseudo-3D engine for designer-friendly vector illustrations
- Vanta.js: Animated 3D backgrounds powered by Three.js/p5.js
- Vanilla-Tilt.js: Smooth parallax tilt effects responding to mouse/gyroscope
When to Use This Skill
- Add decorative 3D illustrations without heavy frameworks
- Create animated backgrounds for hero sections
- Implement subtle parallax tilt effects on cards/images
- Build lightweight landing pages with visual depth
- Add micro-interactions that enhance UX without performance impact
Zdog - Pseudo-3D Illustrations
Core Concepts
Zdog is a pseudo-3D engine that renders flat, round designs in 3D space using Canvas or SVG.
Key Features:
- Designer-friendly declarative API
- Small file size (~28kb minified)
- Canvas or SVG rendering
- Drag rotation built-in
- Smooth animations
Basic Setup
<!DOCTYPE html>
<html>
<head>
<script src="https://unpkg.com/zdog@1/dist/zdog.dist.min.js"></script>
<style>
.zdog-canvas {
display: block;
margin: 0 auto;
background: #FDB;
cursor: move;
}
</style>
</head>
<body>
<canvas class="zdog-canvas" width="240" height="240"></canvas>
<script>
let isSpinning = true;
let illo = new Zdog.Illustration({
element: '.zdog-canvas',
zoom: 4,
dragRotate: true,
onDragStart: function() {
isSpinning = false;
},
});
// Add shapes
new Zdog.Ellipse({
addTo: illo,
diameter: 20,
translate: { z: 10 },
stroke: 5,
color: '#636',
});
new Zdog.Rect({
addTo: illo,
width: 20,
height: 20,
translate: { z: -10 },
stroke: 3,
color: '#E62',
fill: true,
});
function animate() {
illo.rotate.y += isSpinning ? 0.03 : 0;
illo.updateRenderGraph();
requestAnimationFrame(animate);
}
animate();
</script>
</body>
</html>
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.
- 7d ago First seen · 1,092 lines · 110 tokens per session scan A d0ae4223cce3
lightweight-3d-effects is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 110 tokens to every session and 6,812 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to lightweight-3d-effects, differing in 0 lines, and is treated as a copy.
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