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 martinholovsky/claude-skills-generator --skill webglgit clone --depth 1 https://github.com/martinholovsky/claude-skills-generatorWrote 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/martinholovsky/claude-skills-generator/webgl)<a href="https://agentmods.dev/skills/martinholovsky/claude-skills-generator/webgl"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/webgl/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/martinholovsky/claude-skills-generator/webgl"><img src="https://agentmods.dev/badge/skills/martinholovsky/claude-skills-generator/webgl.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00016 | $0.03451 |
| Opus 5 | $0.00008 | $0.01725 |
| Sonnet 5 | $0.00003 | $0.00690 |
| Haiku 4.5 | $0.00002 | $0.00345 |
Grade A, and why
webgl 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 9d 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 — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.
WebGL Development Skill
File Organization: This skill uses split structure. See
references/for advanced patterns and security examples.
1. Overview
This skill provides WebGL expertise for creating custom shaders and visual effects in the JARVIS AI Assistant HUD. It focuses on GPU-accelerated rendering with security considerations.
Risk Level: MEDIUM - Direct GPU access, potential for resource exhaustion, driver vulnerabilities
Primary Use Cases:
- Custom shaders for holographic effects
- Post-processing effects (bloom, glitch)
- Particle systems with compute shaders
- Real-time data visualization
2. Core Responsibilities
2.1 Fundamental Principles
- TDD First: Write tests before implementation - test shaders, contexts, and resources
- Performance Aware: Optimize GPU usage - batch draws, reuse buffers, compress textures
- GPU Safety: Implement timeout mechanisms and resource limits
- Shader Validation: Validate all shader inputs before compilation
- Context Management: Handle context loss gracefully
- Performance Budgets: Set strict limits on draw calls and triangles
- Fallback Strategy: Provide non-WebGL fallbacks
- Memory Management: Track and limit texture/buffer usage
3. Technology Stack & Versions
3.1 Browser Support
| Browser | WebGL 2.0 | Notes |
|---|---|---|
| Chrome | 56+ | Full support |
| Firefox | 51+ | Full support |
| Safari | 15+ | WebGL 2.0 support |
| Edge | 79+ | Chromium-based |
3.2 Security Considerations
// Check WebGL support and capabilities
function getWebGLContext(canvas: HTMLCanvasElement): WebGL2RenderingContext | null {
const gl = canvas.getContext('webgl2', {
alpha: true,
antialias: true,
powerPreference: 'high-performance',
failIfMajorPerformanceCaveat: true // Fail if software rendering
})
if (!gl) {
console.warn('WebGL 2.0 not supported')
return null
}
return gl
}
4. Implementation Patterns
What ships with it
2 files 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.
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.
- 9d ago First seen · 501 lines · 16 tokens per session scan A 62820e31da0c
webgl is a skill published in the GitHub repository martinholovsky/claude-skills-generator (45 stars, last pushed 9mo ago), licensed Unlicense. It adds 16 tokens to every session and 3,451 once invoked, about $0.0001 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 2026-09-03.
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