Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
System 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.
System 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.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
⚠️ 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. Main agent never blocks: no long exec, no external I/O, no LLM calls. Event-driven: workers emit events; the control plane listens. Fail-safe first: recovery commands must always respond. Minimal state: track only task metadata (never payloads).
Report current system health and task registry state. Returns: Active tasks (taskId, type, state) Start time and last heartbeat Flags for stalled or overdue tasks Constraints: Must run in constant time Must not call any model or external API
Emergency stop. Immediately: Cancel all active tasks Kill active exec/process sessions Clear pending message queue Reset in-memory task registry Constraints: Must always respond No waiting on workers No model calls
Safe recovery sequence. Steps: Execute /flush Reset control-plane state Optionally reload skills/state (no container restart)
Sub-agent runner helper (event-driven) Task watchdogs with TTL and silence detection Structured event protocol (task.started, task.heartbeat, task.completed, ...) Back-pressure and task classes (interactive / batch / background)
This skill does not store payloads, prompts, messages, or model outputs Only minimal task metadata is persisted (taskId, timestamps, state) No API keys, credentials, or user data are read or written Safe to publish and share publicly
No business logic No background polling loops No user-facing features No LLM reasoning paths This skill is the last line of defense. Keep it small, fast, and reliable.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.