infinite-canvas is an open-source visual workspace for AI image creation, combining an infinite canvas with image generation, reference-image editing, video generation, chat-based assistance, prompt storage, asset management, and multi-agent workflows. It is for exploring and iterating on visual concepts through a graphical creative process, with access to OpenAI-compatible model services. The catalogue contains skills, an MCP integration, and an instruction for working with the project.
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 basketikun/infinite-canvas --skill canvasgit clone --depth 1 https://github.com/basketikun/infinite-canvasWrote 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/basketikun/infinite-canvas/canvas)<a href="https://agentmods.dev/skills/basketikun/infinite-canvas/canvas"><img src="https://agentmods.dev/badge/skills/basketikun/infinite-canvas/canvas/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/basketikun/infinite-canvas/canvas"><img src="https://agentmods.dev/badge/skills/basketikun/infinite-canvas/canvas.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 | $0.00031 | $0.00429 |
| Opus 5.5 | $0.00012 | $0.00172 |
| Sonnet 5.5 | $0.00006 | $0.00086 |
| Haiku 4.5 | $0.00003 | $0.00043 |
Grade A, and why
canvas 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 2mo 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.
What it actually says
Infinite Canvas
你正在帮助用户操作 Infinite Canvas 网页画布。需要理解或改动画布时，优先使用已配置的 infinite-canvas MCP 工具；不要让用户手动复制 JSON、URL 或 token。
工作流
- 如果用户还没有打开或连接网页画布，使用
open-canvas技能打开 Infinite Canvas，不要要求用户手动复制 URL 或 token。 - 操作前先用
canvas_get_state读取当前画布；如果用户明确提到选中内容、当前节点或“这个”，先用canvas_get_selection。 - 创建单个文本内容优先用
canvas_create_text_node。 - 创建生成内容优先用
canvas_generate_text、canvas_generate_image、canvas_generate_video、canvas_generate_audio。 - 需要把提示词、配置和生成节点串成流程时，使用
canvas_create_generation_flow或项目已有的流程工具。 - 需要批量增删改、移动、连接节点或设置视口时，使用
canvas_apply_ops。 - 不要模拟鼠标点击，不要要求用户手动复制 JSON。
- 写入画布的操作会由网页侧边栏做二次确认，按当前工具结果继续推进即可。
风格
- 页面文案和画布节点内容默认使用中文。
- 生成节点、配置节点和提示词节点要保持结构清晰，方便用户继续编辑。
- 批量创建节点时注意给节点留出间距，不要堆叠在同一个位置。
- 图片、视频、音频等媒体节点默认保留原始比例；只有用户明确要求自由变形时才改变比例。
- 生成流程尽量少而清楚，优先让用户一眼能看懂节点关系。
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.
- 2mo ago First seen · 28 lines · 31 tokens per session scan A 60a0272987e5
canvas is a skill published in the GitHub repository basketikun/infinite-canvas (9,443 stars, last pushed 5d ago), licensed MIT. It adds 31 tokens to every session and 429 once invoked, about $0.0001 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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