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OpenClaw

error-guard

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.

amar14320 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install amar1432/error-guard

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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.

Design Principles

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).

Command Surface (Phase 1)

/status

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
/flush

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
/recover

Safe recovery sequence.

Steps:

  1. Execute /flush
  2. Reset control-plane state
  3. Optionally reload skills/state (no container restart)

Future Extensions (Not Implemented Yet)

  • 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)

Security & Privacy

  • 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 u...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/amar1432/error-guard
Version
—
Commit
593132535473686d8f200e43da9b1fdb4d065b65
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# 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.

## Design Principles

> **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).

## Command Surface (Phase 1)

### /status

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

### /flush

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

### /recover

Safe recovery sequence.

Steps:
1. Execute `/flush`
2. Reset control-plane state
3. Optionally reload skills/state (no container restart)

## Future Extensions (Not Implemented Yet)

- 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)

## Security & Privacy

- 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 u...

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