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 open-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/open-canvas)<a href="https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/open-canvas"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/open-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/open-canvas"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/open-canvas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 24 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 34 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00035 | $0.00841 |
| Opus 5 | $0.00017 | $0.00420 |
| Sonnet 5 | $0.00007 | $0.00168 |
| Haiku 4.5 | $0.00003 | $0.00084 |
Grade A, and why
open-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 12d 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
打开影策画布
当用户要求打开、启动、进入或使用影策时，不要把 URL 交给用户手动复制，不要通过浏览器点击“新建画布”。优先快速拉起本地画布和本地 Canvas Agent，然后直接打开带 mode、agentUrl、agentToken 的 URL，让网页自动创建或选择画布并连接 Agent。
默认打开方式
- 新建画布：
<画布网页地址>/canvas?mode=new&agentUrl=<Local URL>&agentToken=<Connect token> - 最近画布：
<画布网页地址>/canvas?mode=recent&agentUrl=<Local URL>&agentToken=<Connect token> - 自己选择：
<画布网页地址>/canvas?mode=choose&agentUrl=<Local URL>&agentToken=<Connect token>
默认打开新建本地画布；只有用户明确要求线上地址、最近画布或自己选择时，才改用对应模式。
工作流
- 如果当前仓库是影策项目，优先使用当前仓库的
web/前端。 - 先检查本地端口归属：如果
3000、3001等端口已被占用，必须用lsof/ps或服务输出确认监听进程的工作目录属于当前仓库的web/，不能只因为端口存在就当成本地画布。 - 如果已有当前仓库的 Next dev 服务，复用它并记录真实画布地址，例如
http://localhost:3001。 - 如果没有当前仓库的服务，启动本地画布开发服务，默认在
web/下运行bun run dev；若默认端口被其他项目占用，改用空闲端口启动，例如bunx next dev --webpack -H 0.0.0.0 -p <空闲端口>。不要执行构建或测试。 - 启动本地 Canvas Agent，必须带上第 3/4 步得到的真实画布地址：
CANVAS_URL=<真实画布地址> npx -y @ddcat666/open-ai-canvas-agent。如果 Agent 已经在运行，则读取~/.infinite-canvas/canvas-agent.json或启动输出获取Local URL和 token。 - 读取 Agent 输出或配置中的
Local URL和Connect token，不要让用户手动复制。 - 不走本地 Agent 的
/open跳转；直接构造并打开最终 URL：<真实画布地址>/canvas?mode=new&agentUrl=<Local URL>&agentToken=<Connect token>。 - 画布网页会自动新建具体画布、打开本机 Agent 面板并连接本地 Agent；不要用浏览器点击新建画布。
- 打开后再使用
canvas_get_state检查画布是否已经连接；如果尚未连接，等待片刻再检查，不要改用线上站点，除非用户明确要求。
用户只安装插件时
- 如果当前工作区不是影策源码仓库，优先提示用户先打开或启动影策网页，再连接本地 Agent。
- 可以使用线上画布地址或用户给出的本地地址作为
<画布网页地址>，但仍要通过本地 Canvas Agent 获取 token 后再打开最终 URL。 - 不要假设用户已经安装本仓库依赖；插件的 MCP 会通过
npx -y @ddcat666/open-ai-canvas-agent mcp使用已发布的 Canvas Agent。
不要要求用户手动填写 URL、token 或复制 JSON。
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.
- 12d ago First seen · 37 lines · 35 tokens per session scan A e76f401ee896
open-canvas is a skill published in the GitHub repository ddcat-ai/open-ai-canvas (874 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 841 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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