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 RaNDoM6913/claude-code-superkit --skill html-to-3d-texturegit clone --depth 1 https://github.com/RaNDoM6913/claude-code-superkitWrote 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/random6913/claude-code-superkit/html-to-3d-texture)<a href="https://agentmods.dev/skills/random6913/claude-code-superkit/html-to-3d-texture"><img src="https://agentmods.dev/badge/skills/random6913/claude-code-superkit/html-to-3d-texture/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/random6913/claude-code-superkit/html-to-3d-texture"><img src="https://agentmods.dev/badge/skills/random6913/claude-code-superkit/html-to-3d-texture.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 | $0.00050 | $0.01135 |
| Opus 5.5 | $0.00020 | $0.00454 |
| Sonnet 5.5 | $0.00010 | $0.00227 |
| Haiku 4.5 | $0.00005 | $0.00113 |
Grade A, and why
html-to-3d-texture 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 5d 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 — 154 lines — stays where its author put it; the contents beside it link to each section on GitHub.
HTML to 3D Texture Pipeline
Capture React components as PNG images for use as textures on 3D model screens.
The snippets below are implementation examples, not installed capture tools. Inspect the project's dependencies, capture route/selector and output directory before adapting them. Playwright and its browser, html2canvas and sharp are not supplied by this skill. Use available authorized tooling; missing prerequisites leave capture UNVERIFIED. Dependency installation, service startup and browser access follow the task's existing authority, not the presence of these examples.
Architecture
React Component → Capture (Playwright/html2canvas) → PNG → Three.js Texture → 3D Mesh
Method 1: Playwright Capture (recommended for quality)
Best for: production screenshots, pixel-perfect captures.
// scripts/capture-screen.mjs
import { chromium } from 'playwright';
const PORT = process.argv[2] || 3000;
const WIDTH = 440; // Native screen width
const HEIGHT = 956; // Native screen height
const SCALE = 2; // Retina (output: 880x1912)
async function capture() {
const browser = await chromium.launch();
const page = await browser.newPage({
viewport: { width: WIDTH, height: HEIGHT },
deviceScaleFactor: SCALE,
});
await page.goto(`http://localhost:${PORT}/capture`);
await page.waitForLoadState('networkidle');
// Find target element
const el = await page.locator('[data-screen-id="main"]');
await el.screenshot({
path: 'public/textures/screen.png',
type: 'png',
});
await browser.close();
console.log(`Captured: ${WIDTH * SCALE}x${HEIGHT * SCALE}px`);
}
capture();
Method 2: html2canvas (runtime capture)
Best for: dynamic content that changes during session.
import html2canvas from 'html2canvas';
import * as THREE from 'three';
async function captureToTexture(element: HTMLElement): Promise<THREE.CanvasTexture> {
const canvas = await html2canvas(element, {
scale: 2,
useCORS: true,
backgroundColor: null, // transparent
});
const texture = new THREE.CanvasTexture(canvas);
texture.colorSpace = THREE.SRGBColorSpace;
texture.needsUpdate = true;
return texture;
}
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.
- 5d ago Changed · +8 lines ca31808c2cad
- 1mo ago First seen · 146 lines · 50 tokens per session scan A 5d653443cff0
html-to-3d-texture is a skill published in the GitHub repository RaNDoM6913/claude-code-superkit (3 stars, last pushed 5d ago), licensed MIT. It adds 50 tokens to every session and 1,135 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
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