command-center

Monitor OpenClaw AI agents with a real-time dashboard.

Updated Mar 15, 2026

Search Tags:#monitoring #ai #llm #dashboard #cost tracking #openclaw

Ready to run

npx skills add https://github.com/ProyectoG007/Skill.bat --skill command-center

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: command-center
Source: https://github.com/ProyectoG007/Skill.bat/tree/main/scripts/08_Automation/01.%20command-center-1.4.1
Command: npx skills add https://github.com/ProyectoG007/Skill.bat --skill command-center

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides real-time visibility into your OpenClaw deployment, allowing you to monitor AI agent activity, track costs, and manage system health from a single, secure dashboard.

Core Features & Use Cases

Session Monitoring: View all active AI sessions with live updates on token usage, costs, and activity status.
System Vitals: Track CPU, memory, disk, and temperature for your AI infrastructure.
Cost Tracking: Monitor LLM token usage, estimate costs, and project monthly savings.
Job Management: View and manage scheduled cron jobs for your AI agents.
Use Case: As an AI operations manager, you can use this Skill to quickly check the status of all running agents, identify any high-cost sessions, and ensure your system is healthy, all without needing to log into multiple services.

Quick Start

Start the command center dashboard by running node lib/server.js.

Frequently Asked Questions about command-center

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I monitor OpenClaw AI agent session activity and LLM token usage in real-time?▼

You can monitor OpenClaw AI agent session activity and LLM token usage in real-time by launching a dashboard that provides live updates on active sessions, status, and costs. Start the command center dashboard by running node lib/server.js.

What is the best way to track LLM token costs across Anthropic and OpenAI APIs?▼

The best way to track LLM token costs across Anthropic and OpenAI APIs is to use a centralized dashboard that integrates with these services to monitor token usage, estimate ongoing costs, and project monthly savings.

Does this dashboard support tracking system vitals like CPU and memory for AI infrastructure?▼

Yes, the dashboard supports tracking system vitals for AI infrastructure. It utilizes system monitoring tools to provide real-time visibility into CPU, memory, disk, and temperature metrics.

Can I view and manage scheduled cron jobs for my AI agents from a single interface?▼

Yes, you can view and manage scheduled cron jobs for your AI agents from a single interface. The command center dashboard includes job management features to oversee all scheduled tasks.

Do I need any specific dependencies installed to run the AI agent monitoring dashboard?▼

No external dependencies are required to run the AI agent monitoring dashboard. The Skill operates independently using its internal scripts, references, and assets to start the server.