error-guardSystem safety and control-plane skill that prevents agent deadlocks and freezes. Provides non-LLM control commands to inspect task state, flush message queues, cancel long-running work, and recover safely without restarting the container. Use when implementing or operating long-running tasks, sub-agents, benchmarks, background monitors (e.g., Moltbook, PNR checks), or when the system becomes unresponsive and needs immediate recovery controls.
Install via ClawdBot CLI:
clawdbot install Amar1432/error-guard⚠️ System‑level skill (Advanced users)
This skill defines the control‑plane safety primitives for OpenClaw.
It is intentionally minimal, non‑blocking, and designed to prevent agent freezes, deadlocks, and unrecoverable states when running long‑lived or high‑risk workloads.
Warning: This skill operates at the agent control‑plane level.
It should be installed only by users who understand OpenClaw’s execution model and are running workloads that can block, hang, or run for extended periods.
Report current system health and task registry state.
Returns:
Constraints:
Emergency stop.
Immediately:
Constraints:
Safe recovery sequence.
Steps:
/flushThis skill is the last line of defense. Keep it small, fast, and reliable.
Generated Mar 1, 2026
When running automated AI model benchmarks that involve extended inference tasks, the system can become unresponsive due to task deadlocks. Error Guard allows operators to monitor task health with /status and safely recover stalled benchmarks using /recover without restarting the container, ensuring continuous testing and data integrity.
In financial systems using sub-agents for real-time PNR checks or transaction monitoring, agents may freeze under high load. This skill provides non-LLM commands like /flush to immediately clear queues and cancel tasks, preventing downtime and maintaining compliance with strict uptime requirements in banking or fintech.
For IoT deployments with background monitors (e.g., Moltbook) that track device health over long periods, system freezes can disrupt data collection. Error Guard enables operators to inspect task states via /status and execute emergency recovery with /flush, ensuring reliable monitoring without manual intervention in industrial or smart city applications.
When processing long-running medical data analysis tasks, such as image segmentation or patient record audits, agent deadlocks can delay critical outcomes. This skill allows safe recovery via /recover to reset control-plane state without restarting containers, minimizing disruption in time-sensitive healthcare environments.
Offer Error Guard as part of a subscription-based SaaS platform for AI developers, providing tools to prevent agent freezes in production environments. Revenue is generated through tiered pricing based on usage volume and support levels, targeting enterprises with high-availability needs.
Provide consulting services to integrate Error Guard into existing AI systems for clients in finance or IoT, ensuring reliability and safety. Revenue comes from project-based fees and ongoing maintenance contracts, leveraging the skill's advanced control-plane capabilities for custom deployments.
Distribute Error Guard as open-source software with dual licensing, offering free community use and paid enterprise licenses for additional features like priority support or enhanced security. Revenue is generated from enterprise licenses and professional support packages for large organizations.
💬 Integration Tip
Install this skill only in environments with long-running or high-risk AI workloads, and ensure operators are trained on its control-plane commands to avoid misuse during recovery operations.
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