subagent-overseer

What This Skill Does

The subagent-overseer skill is a sophisticated, non-intrusive monitoring daemon designed for complex OpenClaw multi-agent workflows. Instead of relying on expensive, token-heavy LLM polling cycles to check on the progress of background sub-agents, this skill utilizes a lightweight bash-based daemon. By performing periodic checks on the /proc filesystem and tracking changes to the local directory, the overseer provides a real-time, deterministic status report in a structured JSON file. This architectural decision ensures that your agent remains focused on high-level reasoning tasks while the OS-level monitor manages the tedious background oversight, reducing latency and avoiding redundant AI overhead.

Installation

To integrate this monitoring capability into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/globalcaos/subagent-overseer

Ensure that you have appropriate write permissions for the /tmp/overseer/ directory, as the daemon requires this location to maintain the status.json file used for heartbeat synchronization.

Use Cases

• Autonomous Research Chains: Monitor long-running research sub-agents that are writing data to files over extended periods to ensure they haven't crashed.
• Complex Development Tasks: Keep track of multiple code-generation agents spawned for distinct tasks, preventing zombie processes from consuming CPU cycles.
• System Health Monitoring: When building agent swarms, use the overseer to verify the openclaw-gateway health to ensure the entire infrastructure remains operational.

Example Prompts

1. "Initialize the overseer for the current project directory with a 60-second interval and enable voice alerts for stuck agents."
2. "Check the current sub-agent status file and report if any agents are flagged as stuck or in warning mode."
3. "The sub-agent overseer is reporting a stale process in the current workspace; list the active sessions and kill the one marked as stuck."

Tips & Limitations

• Token Efficiency: Because the overseer writes a clean JSON file, your agent can read the status in a single pass without needing to trigger a full environment scan.
• Performance: For high-load environments, keep the --interval above 180 seconds to minimize I/O overhead.
• Limitations: The skill is primarily designed for Linux environments. macOS users may encounter compatibility issues due to differences in /proc filesystem implementation.