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Zhow01
Zhow01COMMUNITY
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command-center

Aggregate AI agent sessions, LLM usage, costs, and system vitals in real time.

52|3|Updated Apr 3, 2026
Search Tags:#ai agents#dashboard#real-time#cost tracking#openclaw#session monitoring#llm usage
One-click install
npx skills add https://github.com/Zhow01/SkillAttack --skill command-center-zhow01
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: command-center
Source: https://github.com/Zhow01/SkillAttack/tree/main/data/hot100skills/047_jontsai_command-center
Command: npx skills add https://github.com/Zhow01/SkillAttack --skill command-center-zhow01

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Real-time visibility into AI agent activity and resource usage is hard when using multiple tools; this Skill consolidates sessions, LLM usage, cost metrics, and system vitals into one centralized dashboard.

Core Features & Use Cases

  • Real-time session monitoring for multiple agents
  • Token usage and cost tracking
  • System health metrics and cron task visibility
  • Cerebro topic management and privacy controls
  • Easy local deployment with zero-build setup

Quick Start

Install the skill via ClawHub, navigate to skills/command-center, and start the server with 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 AI agent sessions and LLM usage in real-time?▼

Real-time session monitoring for AI agents is achieved by centralizing token usage, cost tracking, and system vitals into a single dashboard. This provides live visibility across multiple agents running concurrently.

What is the best way to track token usage and costs across multiple AI agents?▼

Tracking token usage and costs across multiple agents requires a centralized dashboard that aggregates LLM metrics. It measures token consumption and calculates associated costs in real-time to provide unified financial visibility.

How do I set up a local dashboard for AI agent monitoring without a build step?▼

To set up local AI agent monitoring without a build step, install the tool via ClawHub, navigate to the skill directory, and execute the server script using Node.js version 18 or higher.

Does OpenClaw support real-time monitoring of system health and cron tasks for AI agents?▼

OpenClaw supports real-time monitoring of system health and cron tasks by serving a static UI with SSE and REST-like APIs. This delivers live system vitals and scheduled task visibility.

Can I use Node.js to serve a static UI and APIs for AI agent data retrieval?▼

Node.js serves a static UI and APIs for AI agent data retrieval by running a server script that auto-detects the workspace. It exposes endpoints via SSE and REST-like patterns for live metrics.

When do I need a centralized dashboard for AI agent activity and resource usage?▼

A centralized dashboard for AI agent activity is needed when using multiple tools simultaneously and real-time visibility into resource usage becomes difficult. It consolidates sessions, costs, and vitals into one view.

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