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 agentmods add skills/plurigrid/asi/algorithmic-artnpx skills add plurigrid/asi --skill algorithmic-artgit clone --depth 1 https://github.com/plurigrid/asiWrote 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/plurigrid/asi/algorithmic-art)<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>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 | $0.00044 | $0.00786 |
| Opus 5 | $0.00022 | $0.00393 |
| Sonnet 5 | $0.00009 | $0.00157 |
| Haiku 4.5 | $0.00004 | $0.00079 |
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.
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);
}
}
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.
- 2d ago First seen · 137 lines · 44 tokens per session scan A 1dfc85c1af9c
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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