技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 8 · 2.7k · 9 current installs · 9 all-time installs
⭐ 8
安装量（当前） 9
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：amar1432/error-guard
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill's code and runtime instructions are consistent with a control‑plane safety utility — it persists only minimal metadata, implements /status, /flush, and /recover, and does not request credentials — but it is a high‑privilege control component (can spawn and kill sessions and write state) and should be reviewed and tested in isolation before use.
目的
The name/description (control‑plane safety, task registry, flush/recover) match the code: registry, status/flush/recover commands, spawn and session helpers, and watchdog logic are all present and serve the stated purpose.
说明范围
SKILL.md promises no LLM calls, no payload storage, and minimal state; the code follows this model (only task metadata persisted). One minor mismatch: SKILL.md says 'no external I/O' but example worker (moltbook-worker) contains a placeholder fetch simulation (currently no real network call). The control APIs (sessions_send, sessions_spawn, process.list/kill) are platform SDK calls and are expected for a control‑plane skill, but they do give t…
安装机制
No install spec (no external downloads) which is low risk. However the package contains TypeScript source files; there is no build/install instruction in SKILL.md — ensure the platform will compile/load these sources as expected. There is also a small syntax/typo artifact (imports using 'as any') that should be reviewed before runtime.
证书
The skill declares no environment variables, credentials, or config paths and the code does not access secrets or external API keys. Persisted state is limited to a local state.json containing only task metadata (taskId, timestamps, state).
持久
This skill has significant control-plane privileges: it can spawn sub‑agents (sessions_spawn), send session messages (sessions_send), list and kill exec/sessions (process.list/process.kill), and it writes a local state file. These capabilities are coherent with its purpose but mean the skill can affect other running tasks and system behavior — test in an isolated environment and restrict who can invoke it. Note: always:true is not set (good); …
综合结论
What to consider before installing: - This is a control‑plane tool: it can spawn and kill sessions and will clear the in‑memory registry and attempt to kill exec sessions on /flush. Those are powerful actions that can interrupt other work; run it in a test environment first. - The skill does not ask for credentials and only persists minimal task metadata to skills/error-guard/state.json, but verify that path and file permissions are acceptable…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Error Guard — Control‑Plane Safety」。简介：System safety and control-plane skill that prevents agent deadlocks and freezes…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/amar1432/error-guard/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: error-guard
description: >
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.
---
# 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 user data are read or written
- Safe to publish and share publicly
## Non-Goals
- 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.