algorithmic-art

algorithmic-art is a skill for Claude Code, Codex from plurigrid/asi. It costs 44 tokens per session (786 once invoked), scanned A, original, MIT.

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems.

Skill for Claude CodeCodex

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/plurigrid/asi/algorithmic-art
Any agent
npx skills add plurigrid/asi --skill algorithmic-art
Clone the repo
git clone --depth 1 https://github.com/plurigrid/asi

Made for: Claude Code, Codex.

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 algorithmic-art

README.md
[![agentmods](https://agentmods.dev/badge/skills/plurigrid/asi/algorithmic-art.svg)](https://agentmods.dev/skills/plurigrid/asi/algorithmic-art)
Your own site
<a href="https://agentmods.dev/skills/plurigrid/asi/algorithmic-art"><img src="https://agentmods.dev/badge/skills/plurigrid/asi/algorithmic-art.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 786 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00044 $0.00786
Opus 5 $0.00022 $0.00393
Sonnet 5 $0.00009 $0.00157
Haiku 4.5 $0.00004 $0.00079

Measured 2d ago against content hash 1dfc85c1af9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

algorithmic-art 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 2d 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.

ies/music-topos/.agents/skills/algorithmic-art/SKILL.md · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Algorithmic Art

Create generative art with code using p5.js, featuring seeded randomness for reproducibility.

Core Concepts

Seeded Randomness

// Use seed for reproducible results
function setup() {
  randomSeed(42);
  noiseSeed(42);
}

Noise Functions

// Perlin noise for organic patterns
let x = noise(frameCount * 0.01) * width;
let y = noise(frameCount * 0.01 + 1000) * height;

Common Patterns

Flow Fields

let cols, rows, scale = 20;
let particles = [];
let flowfield;

function setup() {
  createCanvas(800, 800);
  cols = floor(width / scale);
  rows = floor(height / scale);
  flowfield = new Array(cols * rows);

  for (let i = 0; i < 1000; i++) {
    particles.push(new Particle());
  }
}

function draw() {
  let yoff = 0;
  for (let y = 0; y < rows; y++) {
    let xoff = 0;
    for (let x = 0; x < cols; x++) {
      let angle = noise(xoff, yoff) * TWO_PI * 2;
      let v = p5.Vector.fromAngle(angle);
      flowfield[x + y * cols] = v;
      xoff += 0.1;
    }
    yoff += 0.1;
  }

  particles.forEach(p => {
    p.follow(flowfield);
    p.update();
    p.show();
  });
}

Recursive Trees

function branch(len) {
  line(0, 0, 0, -len);
  translate(0, -len);

  if (len > 4) {
    push();
    rotate(PI / 6);
    branch(len * 0.67);
    pop();

    push();
    rotate(-PI / 6);
    branch(len * 0.67);
    pop();
  }
}

Particle Systems

class Particle {
  constructor() {
    this.pos = createVector(random(width), random(height));
    this.vel = createVector(0, 0);
    this.acc = createVector(0, 0);
    this.maxSpeed = 4;
  }

  follow(flowfield) {
    let x = floor(this.pos.x / scale);
    let y = floor(this.pos.y / scale);
    let force = flowfield[x + y * cols];
    this.acc.add(force);
  }

  update() {
    this.vel.add(this.acc);
    this.vel.limit(this.maxSpeed);
    this.pos.add(this.vel);
    this.acc.mult(0);
  }

  show() {
    stroke(255, 5);
    point(this.pos.x, this.pos.y);
  }
}

Read the full file on GitHub · 137 lines

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. 2d ago First seen · 137 lines · 44 tokens per session scan A 1dfc85c1af9c

Subscribe to this mod's changes

algorithmic-art is a skill published in the GitHub repository plurigrid/asi (61 stars, last pushed 1mo ago), licensed MIT. It adds 44 tokens to every session and 786 once invoked, about $0.0002 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 2026-09-01.

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