task-monitorReal-time web dashboard for OpenClaw sessions and background tasks. Mobile-responsive with auto-refresh.
Install via ClawdBot CLI:
clawdbot install jorgermp/task-monitorReal-time monitoring dashboard for OpenClaw with web interface.
cd skills/task-monitor
npm install./scripts/start-server.shServer will run on port 3030 (accessible on LAN).
Access URLs:
http://localhost:3030http://:3030 ./scripts/stop-server.shcurl http://localhost:3030/api/statusReturns JSON with:
Legacy markdown generator still available:
./scripts/generate-dashboard.jsUpdates DASHBOARD.md in workspace root.
CRON job runs every 5 minutes to update markdown dashboard:
/5 * -> Executes generate-dashboard.js
openclaw sessions list --json + openclaw cron list --jsonWithout cache:
With cache:
The caching system ensures:
Generated Mar 1, 2026
Development teams can use the dashboard to monitor real-time performance of AI agents during testing and deployment. It provides instant visibility into session health, sub-agent activity, and cron job execution, enabling quick debugging and optimization.
IT administrators can deploy this on a LAN to oversee AI-driven automation tasks across an organization. The mobile-responsive design allows on-the-go monitoring from any device, ensuring operational continuity and proactive issue detection.
Universities or training centers can integrate this into AI labs to help students visualize agent interactions and task scheduling. The auto-refresh feature keeps data current for classroom demonstrations and project assessments.
Freelancers using AI agents for client projects can track task progress and session uptime via the web interface. The fast API with caching ensures minimal disruption to workflows while maintaining accurate performance metrics.
Early-stage startups can leverage this skill to monitor AI components in their minimum viable products without heavy infrastructure. The simple installation and low resource usage make it ideal for agile development cycles.
Offer the dashboard as a cloud-hosted service with premium features like extended data retention, custom alerts, and team collaboration tools. Revenue comes from monthly or annual subscriptions based on usage tiers.
Sell on-premise licenses to large organizations needing secure, internal monitoring of AI systems. Include customization, support, and integration services for a one-time fee or annual maintenance contract.
Release the core skill as open source to build a community, then monetize through paid add-ons such as advanced analytics, priority support, or hosted instances. This model drives adoption while generating revenue from power users.
💬 Integration Tip
Ensure Node.js is installed and network ports are open for LAN access; use the provided scripts for easy server management and automation.
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