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长任务监控方案。实现 Worker-Monitor 架构，Monitor 通过 hook-logger 日志监控 Worker 状态，每轮 10 分钟通过 Announce 汇报。采用主会话轮询机制（因子代理 sessions_send 限制）。推荐 OpenClaw 2.21+。触发词：长任务、监控任务、任务监控

长任务监控方案 V2。实现 Worker-Monitor 架构，Monitor 通过 hook-logger 日志监控 Worker 状态，每轮 10 分钟通过 Announce 汇报。采用主会话轮询机制（因子代理 sessions_send 限制）。推荐 OpenClaw 2.21+。触发词：长任务、监控任务、...

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Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Manual review
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: _meta.json, CHANGELOG.md, long-task-monitor-plan.md, long-task.js, monitor-prompt.txt, SKILL.md

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Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.3

Provenance

Publisher: scotthuang
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 18 sections Open source page

功能

实现长任务监控方案（V2）：创建 Worker 执行长任务创建 Monitor 监控 Worker 状态（每轮 10 分钟）主会话轮询处理 Monitor 汇报任务完成时自动清理 Worker/Monitor sessions

English Description

Long-running task monitoring solution (V2). Implements Worker-Monitor architecture: Monitor tracks Worker status via hook-logger logs, reports to main session every 10 minutes via Announce. Uses main session polling mechanism due to subagent sessions_send limitation. Recommended for OpenClaw v2.21+. Note: This skill is primarily designed for Chinese users, but the monitor/worker mechanism can be implemented independently by referring to long-task-monitor-plan.md in the skill folder. Trigger: "长任务", "监控任务", "任务监控"

1. 安装 hook-logger 插件

本方案依赖 hook-logger 插件读取 Worker 状态，必须先安装： # 安装 hook-logger 插件 openclaw plugins install @scotthuang/hook-logger # 或手动安装 cd ~/.openclaw/extensions/hook-logger npm install 注意：确保 hook-logger 已更新到支持 sessionKey 记录的版本（用于过滤特定 Worker 的日志）。

2. 无需额外权限配置

Monitor → 主会话：Announce（自动）主会话 → Worker：sessions_send（parent→child 默认允许）

启动长任务流程

# 1. 创建任务 node ~/.openclaw/workspace/skills/long-task-monitor/long-task.js start "任务描述" "worker命令" # 2. 启动 Worker（获取 session key 后） sessions_spawn(task="...", label="worker-xxx", cleanup="keep") # 3. 更新 Worker Session Key node long-task.js update <task_id> worker "<sessionKey>" # 4. 启动 Monitor sessions_spawn(task="...", label="monitor-xxx", cleanup="delete") # 5. 更新 Monitor Session Key node long-task.js update <task_id> monitor "<sessionKey>" # 6. 任务完成时手动清理 node long-task.js complete <task_id> "结果描述"

快捷命令

# 创建任务 node long-task.js start "描述" "worker任务" # 更新 Worker Session Key node long-task.js update <task_id> worker "<sessionKey>" # 更新 Monitor Session Key node long-task.js update <task_id> monitor "<sessionKey>" # 生成 Worker 启动命令 node long-task.js worker-command <task_id> "worker任务" # 生成 Monitor 启动命令 node long-task.js monitor-command <task_id> <worker_session_key> 1 # 标记任务完成并清理 sessions node long-task.js complete <task_id> "结果描述" # 查看任务状态 node long-task.js status

任务文件夹结构

~/.openclaw/workspace/long-tasks/<task-id>/ ├── task.json # 任务信息（包含 workerSessionKey, monitorSessionKey） ├── status.json # 最终状态（完成后） └── monitor-rounds/ # Monitor 轮次记录 ├── current-round.json # 当前轮次记录 └── round-1.json # 第一轮记录

task.json 字段说明

{ "taskId": "task-xxx", "description": "任务描述", "workerTask": "pip install torch", "workerSessionKey": "agent:main:subagent:xxx", "monitorSessionKey": "agent:main:subagent:yyy", "createdAt": "2026-02-22T10:00:00Z", "status": "running", "monitorRound": 1, "workerRestartCount": 0 }

Monitor 行为

定期记录 - 写入 monitor-rounds/current-round.json（注：实际取决于执行频率） 10 分钟到 - Announce 返回结果检测完成 - 发现 Worker agent_end 事件时返回检测挂掉 - 超过 5 分钟无日志时返回

轮询逻辑

轮次行为1-5自动继续下一轮监控6+询问用户是否继续

1. 任务完成时需要手动清理

当前版本需要手动执行 complete 命令清理 sessions： node long-task.js complete <task_id> "结果描述"

2. Monitor 轮次日志

Monitor 尝试每分钟记录状态，但实际频率取决于 Worker 执行速度。如果 Worker 执行很快，可能只记录 1-2 次。

3. Session Key 更新

spawn Worker/Monitor 后，必须手动更新 task.json：获取 Worker Session Key → 更新获取 Monitor Session Key → 更新

4. 任务完成判断

Monitor 会检测 agent_end 事件判断 Worker 是否完成如果 Worker 已完成，Monitor 会返回"已完成"状态主会话收到后需要手动执行 complete 清理

已知限制

complete 命令有 bug - 当前版本可能报 ReferenceError，需手动清理 sessions 无法自动检测 Worker 完成 - 需要等待 Monitor 下一轮汇报 Session Key 需要手动更新 - 无法自动获取

发布更新

如果修改了 skill： cd ~/.openclaw/workspace/skills/long-task-monitor # 未来如有 npm 包需求

⚠️ 安全说明

本 skill 已做安全加固：使用 execFile + 参数数组防止命令注入所有用户输入经过过滤（只允许安全字符，包含 : 用于 session keys）依赖 hook-logger 插件，请确保来源可信

⚠️ 已知限制

Monitor Agent 需要使用 exec 工具执行 shell 命令（写入监控日志），这是架构固有限制 Session Key 必须包含 : 字符（如 agent:main:subagent:xxx），已修复过滤函数允许此字符

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs1 Scripts1 Config1 Files

SKILL.md Primary doc
CHANGELOG.md Docs
long-task-monitor-plan.md Docs
long-task.js Scripts
_meta.json Config
monitor-prompt.txt Files