canvas-generative

canvas-generative is a skill for Claude Code from AThevon/genjutsu. It costs 30 tokens per session (2,426 once invoked), scanned A, a copy of canvas-generative, MIT.

A collection of Canvas 2D techniques for creating algorithmic artwork such as particles, flow fields, noise, fractals, and L-systems.

In plain words
What is it for?
Use it to build responsive, animated generative visuals in browser canvas elements.
Why use it?
It provides guidance for keeping generated graphics sharp on high-resolution screens and stable while resizing or animating.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the genjutsu plugin — 17 skills shipped together

Install

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.

agentmods
npx agentmods add skills/athevon/genjutsu/canvas-generative
Any agent
npx skills add AThevon/genjutsu --skill canvas-generative
Clone the repo
git clone --depth 1 https://github.com/AThevon/genjutsu

Made for: Claude Code.

Or install genjutsu, the plugin that ships this one along with the rest of its 17 skills.

Wrote 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.

agentmods badge for canvas-generative

README.md
[![agentmods](https://agentmods.dev/badge/skills/athevon/genjutsu/canvas-generative.svg)](https://agentmods.dev/skills/athevon/genjutsu/canvas-generative)
Your own site
<a href="https://agentmods.dev/skills/athevon/genjutsu/canvas-generative"><img src="https://agentmods.dev/badge/skills/athevon/genjutsu/canvas-generative.svg" alt="Measured on agentmods" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,426 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00030 $0.02426
Opus 5 $0.00015 $0.01213
Sonnet 5 $0.00006 $0.00485
Haiku 4.5 $0.00003 $0.00243

Measured 6d ago against content hash 9f6747e5e7c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

canvas-generative 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 6d 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.

Origin

This is a copy

100% identical to canvas-generative — 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.

skills/_jutsu/canvas-generative/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Canvas Generative

Algorithmic and generative art with Canvas 2D. Concise rules here. Deep-dive and reference implementations in references/.


Canvas 2D Setup

DPR-Aware Sizing

Every canvas must be sharp on Retina/HiDPI displays. Set the buffer size to the physical pixel size, scale down with CSS.

function setupCanvas(canvas, width, height) {
  const dpr = window.devicePixelRatio || 1;
  canvas.width = width * dpr;
  canvas.height = height * dpr;
  canvas.style.width = `${width}px`;
  canvas.style.height = `${height}px`;
  const ctx = canvas.getContext('2d');
  ctx.scale(dpr, dpr);
  return ctx;
}

Resize Handler

function handleResize(canvas, ctx, draw) {
  const ro = new ResizeObserver(([entry]) => {
    const { width, height } = entry.contentRect;
    const dpr = window.devicePixelRatio || 1;
    canvas.width = width * dpr;
    canvas.height = height * dpr;
    ctx.scale(dpr, dpr);
    draw(); // re-render after resize
  });
  ro.observe(canvas.parentElement);
  return () => ro.disconnect();
}

Animation Loop (RAF)

let animId;
let prevTime = 0;

function loop(time) {
  const dt = Math.min((time - prevTime) / 1000, 0.1); // cap delta to avoid spiral of death
  prevTime = time;

  update(dt);
  render(ctx);

  animId = requestAnimationFrame(loop);
}

// Start
animId = requestAnimationFrame(loop);
// Stop
cancelAnimationFrame(animId);

Noise

Type Characteristics Best For
Perlin Smooth, grid-aligned bias, cheaper Terrain, clouds, gentle organic textures
Simplex No grid artifacts, better gradients, slightly costlier Flow fields, organic motion, seamless tiling
Worley (Cellular) Distance-to-nearest-point, cell-like Voronoi patterns, caustics, cracks, cell textures

Usage rules:

  • Always scale input coordinates (divide by a noiseScale factor) -- raw pixel coords produce visual noise
  • Use octaves (fractal Brownian motion) for detail: sum multiple noise calls at increasing frequency and decreasing amplitude
  • Seed your noise for reproducibility

Read the full file on GitHub · 326 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 6d ago First seen · 326 lines · 30 tokens per session scan A 9f6747e5e7c3

Subscribe to this mod's changes

canvas-generative is a skill published in the GitHub repository AThevon/genjutsu (325 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 2,426 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 canvas-generative, differing in 0 lines, and is treated as a copy.

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