Openclaw Monitor

What This Skill Does

The Openclaw Monitor skill is a robust system administration tool designed specifically for the OpenClaw AI ecosystem. Developed by frank-bot07, this skill acts as the central observability hub for your autonomous agent operations. It provides granular visibility into the health and performance of your agents by tracking key performance indicators such as token consumption, task completion rates, and the integrity of scheduled background processes (crons). By maintaining internal interchange files, the skill categorizes data into public-facing health indicators and private, sensitive financial or operational reports, ensuring that you can audit your AI activity without compromising security. Whether you are managing a single agent or a fleet, this skill provides the telemetry necessary to optimize resource allocation and debug failures effectively.

Installation

To integrate the Openclaw Monitor into your agent framework, use the following clawhub command in your terminal: clawhub install openclaw/skills/skills/frank-bot07/openclaw-monitor Ensure your system has the necessary read/write permissions for the state/ directory, as the skill needs to generate local markdown logs for its monitoring operations.

Use Cases

• Cost Control: Regularly audit token spend per model or skill to stay within budget constraints.
• Performance Tuning: Identify bottlenecks in task execution by analyzing failure rates and cron health.
• Operational Auditing: Maintain a historical record of system activity for compliance and performance improvement.
• System Maintenance: Perform routine database backups and restores to ensure persistent state safety across agent updates.

Example Prompts

1. "monitor status - give me a quick health summary of my agents today."
2. "monitor tokens --period 30d --by model - show me how much this is costing me."
3. "monitor tasks --failed - list all tasks that failed in the last 24 hours so I can debug them."

Tips & Limitations

• Security: Remember that state/status.md and state/token-spend.md contain private data; do not share these files publicly.
• Manual Sync: If you notice metrics appearing out of date, use the monitor refresh command to regenerate the interchange files.
• Performance: Running complex aggregates or full database backups on very large historical logs may temporarily impact agent response times. Schedule heavy data operations during off-peak hours.