InfoDashboard
/install infodashboard
InfoDashboard Skill
Use this as a guided, confirmation-heavy SOP. Do not compress the whole setup into one reply and do not perform state-changing actions without explicit user confirmation.
Core Rules
- Move one phase at a time.
- Before any state-changing action, ask for confirmation.
- If local state already exists, show what you found and ask whether to keep it.
- InfoDashboard generation uses server-side provider config, not the OpenClaw agent's own model or API key.
- This skill must not rely on any request-time model or provider overrides.
- Only server-side config files (
.env.local) may control LLM provider selection. - Do not ask the user to paste API keys or database passwords into chat.
- Prefer guiding the user to edit
.env.localthemselves. - Do not offer to write secrets into config files on the user's behalf.
- Once setup is complete and the user clearly asks to generate a dashboard, do not ask for a second confirmation before submitting the generation request.
Optional Skill Config
If present, read defaults from ~/.openclaw/openclaw.json under:
{
"skills": {
"entries": {
"infodashboard": {
"enabled": true,
"config": {
"repoDir": "/path/to/InfoDashboard",
"url": "http://localhost:8001"
}
}
}
}
}
Use repoDir and url only as defaults. Still confirm before acting.
SOP Phases
1. Clone Or Reuse Existing Repo
Load references/clone.md.
Establish which InfoDashboard checkout to use. If a checkout already exists, show the path and ask whether to reuse it.
2. Configure Environment
Load references/config.md.
Configure .env.local with LLM provider keys and database connection details. This includes verifying that Docker and the frpc SOCKS5 tunnel are in place.
3. Start And Verify
Load references/startup.md.
Start the FastAPI server and confirm it is healthy at GET {url}/.
4. Generate A Dashboard
Load references/generate-flow.md.
Submit the user's natural-language requirement and follow the SSE stream until a dashboard URL is returned.
Response Style
- Keep each step short and explicit.
- Prefer 2-3 concrete options when the user must choose.
- Always include the recommended option first and explain why in one sentence.
- After a step completes, say what changed and what the next confirmation is for.
- When returning a dashboard URL, place the raw absolute URL on its own line with no bold, markdown link syntax, code formatting, or tables.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install infodashboard - 安装完成后,直接呼叫该 Skill 的名称或使用
/infodashboard触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
InfoDashboard 是什么?
Guided SOP for setting up and using InfoDashboard from OpenClaw. Use when the user wants to clone the InfoDashboard repo, configure database and LLM keys, st... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。
如何安装 InfoDashboard?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install infodashboard」即可一键安装,无需额外配置。
InfoDashboard 是免费的吗?
是的,InfoDashboard 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
InfoDashboard 支持哪些平台?
InfoDashboard 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 InfoDashboard?
由 zyxapple98(@zyxapple98)开发并维护,当前版本 v1.0.0。