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 canvasgit 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)<a href="https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/canvas"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-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/ddcat-ai/open-ai-canvas/canvas"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-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 | $0.00506 |
| Opus 5 | $0.00015 | $0.00253 |
| Sonnet 5 | $0.00006 | $0.00101 |
| Haiku 4.5 | $0.00003 | $0.00051 |
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 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
影策画布
你正在帮助用户操作影策网页画布。需要理解或改动画布时，优先使用已配置的 yingce 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技能打开影策，不要要求用户手动复制 URL 或 token。 - 操作前先用
canvas_get_context读取语义化画布和资源状态；如果用户明确提到选中内容、当前节点或“这个”，再用canvas_get_selection。 - 不知道真实节点 id 时使用
canvas_find_nodes；涉及媒体参考时使用canvas_get_resources。 - 复杂批量操作先用
canvas_validate_ops，再用canvas_apply_ops。 - 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、参考素材和生成目标节点串成流程时，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。
更具体的资源感知生成和可靠编辑流程分别见 asset-aware-generation、canvas-editing。
风格
- 页面文案和画布节点内容默认使用中文。
- 生成目标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.
- 11d ago First seen · 32 lines · 31 tokens per session scan A 9045c131fce1
canvas is a skill published in the GitHub repository ddcat-ai/open-ai-canvas (862 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 506 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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