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 ddcat-ai/open-ai-canvas --skill canvas-editinggit clone --depth 1 https://github.com/ddcat-ai/open-ai-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/ddcat-ai/open-ai-canvas/canvas-editing)<a href="https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/canvas-editing"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/canvas-editing/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/ddcat-ai/open-ai-canvas/canvas-editing"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/canvas-editing.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 | $0.00037 | $0.00245 |
| Opus 5 | $0.00018 | $0.00122 |
| Sonnet 5 | $0.00007 | $0.00049 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
canvas-editing 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 11d 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
可靠画布编辑
- 写操作前必须先读取
canvas_get_context；已有节点只使用真实 id。 - 复杂批量修改先用
canvas_validate_ops，通过后再用canvas_apply_ops。 - 单个文本优先
canvas_create_text_node；生成流程优先canvas_generate_text/image/video/audio；只有批量事务才直接组装 ops。 - 新节点沿现有内容右侧或下方网格布局，保留间距，避免遮挡和重叠。
- 删除、覆盖、批量移动和触发生成属于高影响动作，依赖网页侧确认，不要绕过确认。
- 执行后检查返回结果。没有变化、部分失败、任务仍在运行时必须如实说明。
- 媒体节点尽量保留原始比例；不要为了“看起来完成”随意改尺寸或创建孤立占位节点。
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.
- 11d ago First seen · 15 lines · 37 tokens per session scan A 97c696fbd84f
canvas-editing is a skill published in the GitHub repository ddcat-ai/open-ai-canvas (862 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 245 once invoked, about $0.0002 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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