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在 OpenClaw 中安装
/install realtime-dashboard
功能描述
Complete guide to building real-time dashboards with streaming data, WebSocket/SSE, and live updates. Orchestrates dual-stream architecture, React hooks, and data visualization. Use when building trading dashboards, monitoring UIs, or live analytics. Triggers on realtime dashboard, live data, streaming dashboard, trading UI, monitoring.
安全使用建议
This is a documentation/meta-skill and appears internally consistent with its stated purpose. Before installing or following its shell commands: (1) verify the provenance — the registry lists an owner ID but no homepage or known repo; (2) inspect any external installer commands (e.g., npx clawhub install, 'npx add <repo>') before running them; (3) don't blindly run copy/move commands that read from hidden home directories (e.g., ~/.ai-skills) unless you understand what those files contain; (4) review the referenced component skills (dual-stream-architecture, websocket-hub-patterns, etc.) if you plan to use or install them, since this meta-skill links to them but doesn't include their code; (5) treat example endpoints like 'wss://api/ws' as placeholders — replace with your own endpoints rather than using unknown public endpoints. Overall the skill is coherent and not requesting disproportionate privileges, but verify origin and any follow-up installs before executing commands.
功能分析
Type: OpenClaw Skill
Name: realtime-dashboard
Version: 1.0.0
The skill bundle provides a comprehensive guide for building real-time dashboards, including architectural patterns, code examples, and best practices. Both SKILL.md and README.md are purely instructional and descriptive, lacking any evidence of prompt injection attempts against the AI agent, data exfiltration, malicious execution, or persistence mechanisms. The installation instructions are standard for OpenClaw skills, and the 'NEVER Do' section in SKILL.md reinforces secure and robust development practices.
能力评估
Purpose & Capability
The name, description, and SKILL.md all describe the same purpose (real-time dashboards). There are no unexpected environment variables, binaries, or install steps required by the skill itself.
Instruction Scope
Instructions are example-driven and stay within the dashboard domain (dual-stream publishing, WebSocket/SSE, React hooks, visualization). It references internal skill paths like ai/skills/realtime/... and gives example endpoints (e.g., '/api/events', 'wss://api/ws') and local installation copy commands (~/.ai-skills). These are examples/reference pointers rather than directives to exfiltrate data, but you should not blindly run any shell commands that copy files from hidden home directories or invoke installers without inspection.
Install Mechanism
No install spec and no code files are included; the skill is instruction-only so nothing will be written to disk by the skill itself. README examples mention npx-based commands, but those are user-run examples rather than an automated installer embedded in the skill.
Credentials
The skill declares no required environment variables, credentials, or config paths. Example snippets include network endpoints appropriate for a dashboard (WebSocket URLs, local API routes); no unrelated secrets are requested.
Persistence & Privilege
always is false and the skill does not request permanent presence or modify other skills' configs. Model invocation is allowed (platform default) but that is normal for skills and not itself a concern here.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install realtime-dashboard - 安装完成后,直接呼叫该 Skill 的名称或使用
/realtime-dashboard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
版本历史
v1.0.0
- Initial release of the realtime-dashboard meta-skill
- Provides a comprehensive guide for building real-time dashboards with streaming data, WebSocket/SSE, and live updates
- Orchestrates dual-stream architecture with Kafka and Redis for durability and real-time messaging
- Includes implementation steps covering backend event publishing, scalable WebSocket patterns, React real-time hooks, resilient reconnections, and live data visualization
- Offers best-practices, key patterns, checklists, and integration references for trading dashboards, monitoring UIs, or live analytics
元数据
常见问题
Realtime Dashboard 是什么?
Complete guide to building real-time dashboards with streaming data, WebSocket/SSE, and live updates. Orchestrates dual-stream architecture, React hooks, and data visualization. Use when building trading dashboards, monitoring UIs, or live analytics. Triggers on realtime dashboard, live data, streaming dashboard, trading UI, monitoring. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1098 次。
如何安装 Realtime Dashboard?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install realtime-dashboard」即可一键安装,无需额外配置。
Realtime Dashboard 是免费的吗?
是的,Realtime Dashboard 完全免费(开源免费),可自由下载、安装和使用。
Realtime Dashboard 支持哪些平台?
Realtime Dashboard 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 Realtime Dashboard?
由 wpank(@wpank)开发并维护,当前版本 v1.0.0。
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