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 pixijs-2dgit 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/pixijs-2d)<a href="https://agentmods.dev/skills/kevin-liu-01/agent-machines/pixijs-2d"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/pixijs-2d/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/pixijs-2d"><img src="https://agentmods.dev/badge/skills/kevin-liu-01/agent-machines/pixijs-2d.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 | $0.00108 | $0.05492 |
| Opus 5 | $0.00054 | $0.02746 |
| Sonnet 5 | $0.00022 | $0.01098 |
| Haiku 4.5 | $0.00011 | $0.00549 |
Grade A, and why
pixijs-2d 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 8d 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 pixijs-2d — 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 — 936 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PixiJS 2D Rendering Skill
Fast, lightweight 2D rendering engine for creating interactive graphics, particle effects, and canvas-based applications using WebGL/WebGPU.
When to Use This Skill
Trigger this skill when you encounter:
- "Create 2D particle effects" or "animated particles"
- "2D sprite animation" or "sprite sheet handling"
- "Interactive canvas graphics" or "2D game"
- "UI overlays on 3D scenes" or "HUD layer"
- "Draw shapes programmatically" or "vector graphics API"
- "Optimize rendering performance" or "thousands of sprites"
- "Apply visual filters" or "blur/displacement effects"
- "Lightweight 2D engine" or "alternative to Canvas2D"
Use PixiJS for: High-performance 2D rendering (up to 100,000+ sprites), particle systems, interactive UI, 2D games, data visualization with WebGL acceleration.
Don't use for: 3D graphics (use Three.js/R3F), simple animations (use Motion/GSAP), basic DOM manipulation.
Core Concepts
1. Application & Renderer
The entry point for PixiJS applications:
import { Application } from 'pixi.js';
const app = new Application();
await app.init({
width: 800,
height: 600,
backgroundColor: 0x1099bb,
antialias: true, // Smooth edges
resolution: window.devicePixelRatio || 1
});
document.body.appendChild(app.canvas);
Key Properties:
app.stage: Root container for all display objectsapp.renderer: WebGL/WebGPU renderer instanceapp.ticker: Update loop for animationsapp.screen: Canvas dimensions
2. Sprites & Textures
Core visual elements loaded from images:
import { Assets, Sprite } from 'pixi.js';
// Load texture
const texture = await Assets.load('path/to/image.png');
// Create sprite
const sprite = new Sprite(texture);
sprite.anchor.set(0.5); // Center pivot
sprite.position.set(400, 300);
sprite.scale.set(2); // 2x scale
sprite.rotation = Math.PI / 4; // 45 degrees
sprite.alpha = 0.8; // 80% opacity
sprite.tint = 0xff0000; // Red tint
app.stage.addChild(sprite);
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.
- 8d ago First seen · 936 lines · 108 tokens per session scan A bbae14f6bd72
pixijs-2d is a skill published in the GitHub repository Kevin-Liu-01/Agent-Machines (29 stars, last pushed yesterday), licensed MIT. It adds 108 tokens to every session and 5,492 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pixijs-2d, differing in 0 lines, and is treated as a copy.
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