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 oyi77/1ai-skills --skill canvas-designgit clone --depth 1 https://github.com/oyi77/1ai-skillsWrote 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/oyi77/1ai-skills/canvas-design)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/canvas-design"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/canvas-design/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/oyi77/1ai-skills/canvas-design"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/canvas-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector 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 | $0.00055 | $0.02782 |
| Opus 5.5 | $0.00022 | $0.01113 |
| Sonnet 5.5 | $0.00011 | $0.00556 |
| Haiku 4.5 | $0.00006 | $0.00278 |
Grade A, and why
canvas-design 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 1mo 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 — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Canvas Design
When to Use
Trigger phrases:
-
"canvas design"
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"Design visual art and graphics using HTML5 Canvas, p5"
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When creating visual diagrams, charts, or infographics
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When generating algorithmic/generative art
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When building interactive data visualizations
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When designing custom graphics for presentations or documents
When NOT to Use
- For photo editing (use image editors)
- For UI component design (use
frontend-ui-design) - For video content (use video generation skills)
Overview
Create professional visual content using programmatic design tools. Supports HTML5 Canvas, p5.js for generative art, SVG for scalable graphics, and Canvas API for data visualization.
Canvas design spans three approaches: pixel-level rendering (HTML Canvas API, node-canvas) where every pixel is explicitly drawn; declarative vectors (SVG) where shapes are defined as DOM elements that remain selectable and scalable; and creative coding (p5.js, Processing) which provides a friendly API for generative art and interactive sketches.
Python stack: Pillow (PIL) for server-side image generation, compositing, and batch processing. Works in CI/CD pipelines, web backends, and data workflow automation. Browser stack: HTML5 Canvas 2D API for raster graphics, SVG for vector graphics, and p5.js for generative art and creative coding. Zero-install — runs in every browser. Node.js stack: node-canvas provides a Cairo-backed Canvas API for server-side rendering, enabling automated social media image generation, chart rendering, and thumbnail creation.
Key capabilities: generative art with algorithmic patterns, data-driven infographics and charts, responsive diagrams that scale across devices, real-time interactive visualizations, and automated asset generation for content pipelines.
Workflow
- Define visual spec — Dimensions, style, color palette, content
- Choose tool — p5.js (generative), SVG (scalable), Canvas (pixel)
- Create composition — Layout, shapes, text, images
- Apply style — Colors, gradients, shadows, typography
- Export — PNG, SVG, or interactive HTML
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.
- 1mo ago First seen · 231 lines · 55 tokens per session scan A 757aadb4bdd0
canvas-design is a skill published in the GitHub repository oyi77/1ai-skills (17 stars, last pushed yesterday), licensed MIT. It adds 55 tokens to every session and 2,782 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 2026-08-30.
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