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wpank

Realtime Dashboard

by wpank · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
1098
Downloads
0
Stars
6
Active Installs
1
Versions
Install in OpenClaw
/install realtime-dashboard
Description
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.
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install realtime-dashboard
  3. After installation, invoke the skill by name or use /realtime-dashboard
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Slug realtime-dashboard
Version 1.0.0
License
All-time Installs 6
Active Installs 6
Total Versions 1
Frequently Asked Questions

What is Realtime Dashboard?

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. It is an AI Agent Skill for Claude Code / OpenClaw, with 1098 downloads so far.

How do I install Realtime Dashboard?

Run "/install realtime-dashboard" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Realtime Dashboard free?

Yes, Realtime Dashboard is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Realtime Dashboard support?

Realtime Dashboard is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Realtime Dashboard?

It is built and maintained by wpank (@wpank); the current version is v1.0.0.

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