typegpu

A guide to building GPU-rendered HyperFrames compositions with TypeGPU or WebGPU, browser technologies for drawing graphics on a computer's graphics processor. It covers shaders, particles, canvas effects, and exact timeline control.

In plain words
What is it for?
Use it for liquid-glass effects, particle systems, shader-based visuals, compute work, and other canvas layers driven by WebGPU.
Why use it?
It helps animations render the same frame reliably during playback and video export. It also addresses devices where WebGPU is unavailable and ensures submitted graphics finish before capture.

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/alecs5am/ralphy/typegpu
Any agent
npx skills add alecs5am/ralphy --skill typegpu
Clone the repo
git clone --depth 1 https://github.com/alecs5am/ralphy

Made for: Claude Code, Codex.

Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,718 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 $0.00064 $0.01718
Opus 5 $0.00032 $0.00859
Sonnet 5 $0.00013 $0.00344
Haiku 4.5 $0.00006 $0.00172

Measured 2d ago against content hash 6a5036e107a0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

typegpu 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • typegpu — 100% identical, 0 lines differ
.agents/skills/typegpu/SKILL.md · 175 lines

How it starts

The opening of the file, as written. The whole thing — 175 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TypeGPU / WebGPU for HyperFrames

HyperFrames supports TypeGPU and raw WebGPU through its typegpu runtime adapter. The adapter does not own your pipeline. It publishes HyperFrames time and dispatches a seek event so your composition can render the exact GPU frame.

Contract

  • Initialize WebGPU asynchronously (await navigator.gpu.requestAdapter()), but register all GSAP tweens synchronously — before any await. The HyperFrames player reads the timeline immediately at page load.
  • Render from HyperFrames time, not performance.now().
  • Listen for the hf-seek event and re-render at exactly that time.
  • Guard against environments where WebGPU is unavailable — the adapter does not check for you.
  • For video renders, call await device.queue.onSubmittedWorkDone() after submitting GPU work to ensure the canvas is flushed before the frame is captured.

The adapter sets window.__hfTypegpuTime and dispatches new CustomEvent("hf-seek", { detail: { time } }) on each seek.

Basic Pattern

<canvas id="gpu-layer"></canvas>
<script>
  (async () => {
    if (!navigator.gpu) return;
    const adapter = await navigator.gpu.requestAdapter();
    if (!adapter) return;
    const device = await adapter.requestDevice();
    const canvas = document.getElementById("gpu-layer");
    canvas.width = 1920;
    canvas.height = 1080;
    const ctx = canvas.getContext("webgpu");
    const fmt = navigator.gpu.getPreferredCanvasFormat();
    ctx.configure({ device, format: fmt, alphaMode: "opaque" });

    // Build your pipeline, buffers, bind groups...
    const timeUniform = new Float32Array([0]);
    const timeBuf = device.createBuffer({
      size: 16,
      usage: GPUBufferUsage.UNIFORM | GPUBufferUsage.COPY_DST,
    });

    function render(t) {
      timeUniform[0] = t;
      device.queue.writeBuffer(timeBuf, 0, timeUniform);
      const enc = device.createCommandEncoder();
      const pass = enc.beginRenderPass({
        colorAttachments: [
          {
            view: ctx.getCurrentTexture().createView(),
            loadOp: "clear",
            clearValue: { r: 0, g: 0, b: 0, a: 1 },
            storeOp: "store",
          },
        ],
      });
      pass.setPipeline(pipeline);
      pass.setBindGroup(0, bindGroup);
      pass.draw(3);
      pass.end();
      device.queue.submit([enc.finish()]);
    }

    render(0);
    window.addEventListener("hf-seek", (e) => render(e.detail.time));
  })();
</script>

Read the full file on GitHub · 175 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 · 175 lines · 64 tokens per session scan A 6a5036e107a0

Subscribe to this mod's changes

typegpu is a skill published in the GitHub repository alecs5am/ralphy (128 stars, last pushed 7d ago), licensed Apache-2.0. It adds 64 tokens to every session and 1,718 once invoked, about $0.0003 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 2026-08-30.

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