A reliability tool that monitors AI subagent runs by enforcing completion markers within defined deadlines.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install subagent-watchdog
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install subagent-watchdog using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Subagent Watchdog is a specialized reliability tool designed for complex agentic workflows. In environments where AI agents spawn subagents to handle specific tasks, ensuring task completion is critical for system stability. This skill acts as a supervisor, monitoring the lifecycle of subagent runs through a labeling system. By integrating this into your Openclaw Skills library, you can prevent hanging processes and ensure that every autonomous task either completes successfully or triggers an immediate alert for manual intervention or automated retry.
To integrate this into your workflow, first define the subagent contract in your prompts to ensure they write to subagent-watchdog/state/
# Run watchdog with a 10-minute timeout
./watch.sh "data-processing-agent" 600
You can also configure default timeouts in your ~/.openclaw/openclaw.json file:
{
"caliban": {
"subagentWatchdog": {
"maxRuntimeSeconds": 600
}
}
}
The skill utilizes a structured state directory to track agent progress and manage configurations within the Openclaw Skills ecosystem:
| File/Directory | Description |
|---|---|
| subagent-watchdog/state/ | The central directory for all active and completed task markers. |
| A marker file written by the subagent to signal successful completion. | |
| SUBAGENT_CONTRACT.md | Documentation defining the expected behavior and output format for subagents. |
| ~/.openclaw/openclaw.json | Configuration file for global watchdog settings and messaging IDs. |
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