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scotthuang

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

by scotthuang · GitHub ↗ · v1.0.3
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Install in OpenClaw
/install long-task-monitor
Description
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、...
README (SKILL.md)

注意:本 Skill 依赖 hook-logger 插件读取 Worker 状态,必须先安装。

当用户说"长任务"、"监控任务"、"执行训练"等需要长时间运行任务时使用此技能。

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"

使用前提

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)

使用方式

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 \x3Ctask_id> worker "\x3CsessionKey>"

# 4. 启动 Monitor
sessions_spawn(task="...", label="monitor-xxx", cleanup="delete")

# 5. 更新 Monitor Session Key
node long-task.js update \x3Ctask_id> monitor "\x3CsessionKey>"

# 6. 任务完成时手动清理
node long-task.js complete \x3Ctask_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 \x3Ctask_id> worker "\x3CsessionKey>"

# 更新 Monitor Session Key
node long-task.js update \x3Ctask_id> monitor "\x3CsessionKey>"

# 生成 Worker 启动命令
node long-task.js worker-command \x3Ctask_id> "worker任务"

# 生成 Monitor 启动命令
node long-task.js monitor-command \x3Ctask_id> \x3Cworker_session_key> 1

# 标记任务完成并清理 sessions
node long-task.js complete \x3Ctask_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/\x3Ctask-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

  1. 定期记录 - 写入 monitor-rounds/current-round.json(注:实际取决于执行频率)
  2. 10 分钟到 - Announce 返回结果
  3. 检测完成 - 发现 Worker agent_end 事件时返回
  4. 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

注意事项

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 \x3Ctask_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

  1. complete 命令有 bug - 当前版本可能报 ReferenceError,需手动清理 sessions
  2. 无法自动检测 Worker 完成 - 需要等待 Monitor 下一轮汇报
  3. 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
Usage Guidance
This skill appears to do what it says: orchestrate long-running Worker sessions and spawn Monitor sessions that read local hook-logger logs and write per-task JSON files under ~/.openclaw/workspace/long-tasks. Before installing or running: 1) Ensure you trust and have installed the hook-logger plugin from a trusted source (the skill depends on it). 2) Confirm the openclaw CLI is available if you expect to use the skill's cleanup (the code calls 'openclaw sessions kill'); the registry summary omitted this but _meta.json includes it. 3) Be aware the Monitor prompt instructs usage of exec/shell to write files and read logs — run in an environment where allowing a subagent to run shell commands and access ~/.openclaw logs is acceptable. 4) Note the minor metadata mismatch (registry summary vs _meta.json) — consider asking the author to clarify required binaries and exact permissions. 5) If you will use this with sensitive Worker tasks, review hook-logger logs and the monitor script to ensure no sensitive secrets are unintentionally recorded and that task IDs/session keys are handled per your security policy.
Capability Analysis
Type: OpenClaw Skill Name: long-task-monitor Version: 1.0.3 The skill implements robust input sanitization (`sanitizeInput`) and uses `execFile` with argument arrays in `long-task.js` to prevent shell injection. However, the `monitor-prompt.txt` explicitly instructs the Monitor Agent to use the `exec` tool to write logs to the filesystem. While the command itself (`echo "..." >> {task_folder}/monitor-rounds/current-round.json`) and its dynamic variables (`{round}`, `{task_folder}`) are sanitized before prompt generation, the direct instruction for an agent to use a powerful tool like `exec` for shell commands, even for a stated logging purpose, introduces a higher risk profile. This is acknowledged in `SKILL.md` as an 'architectural limitation'.
Capability Assessment
Purpose & Capability
The skill's name/description align with the provided code and runtime instructions: it implements a Worker–Monitor pattern, relies on hook-logger logs, and manages per-task folders under ~/.openclaw/workspace/long-tasks. Minor incoherence: the top registry summary listed no required binaries, but _meta.json lists requiredBinaries: ["openclaw"] and the code calls the 'openclaw' CLI (for sessions kill). Requiring session-related permissions (sessions-spawn, sessions-send, sessions-kill) in metadata is consistent with the orchestration purpose, but the code mainly generates spawn commands for the user and only directly calls openclaw for killing sessions — so the declared permissions are broader than what the code executes directly.
Instruction Scope
SKILL.md and monitor-prompt instruct the Monitor to read hook-logger logs at ~/.openclaw/workspace/logs/hook-logger/YYYY-MM-DD.log, to write per-round JSON into ~/.openclaw/workspace/long-tasks/<task-id>/monitor-rounds via exec echo commands, and to return results via Announce. All of this is within the stated monitoring purpose. Note: the Monitor prompt explicitly instructs using exec (shell) to write logs — that requires the Monitor agent to have the exec tool available and grants it ability to run shell commands locally; this is expected but important to be aware of. No instructions attempt to read external secrets or send data to remote endpoints.
Install Mechanism
Instruction-only with included JS scripts; there is no external download/install URL. No high-risk install mechanism present. The skill does advise installing the hook-logger plugin (from npm/@scotthuang/hook-logger) which is a normal dependency; installing that plugin is an external action the user must trust.
Credentials
The skill declares no required environment variables and the code does not read env secrets. Metadata (_meta.json) lists requiredBinaries and permissions (openclaw, sessions-spawn/send/kill) which are proportional to session orchestration but differ from the registry summary's 'none' for required binaries — this mismatch should be clarified. No other unrelated credentials are requested.
Persistence & Privilege
The skill is not 'always' enabled and uses the platform default of allowing autonomous invocation. The skill (by design) manipulates sessions and filesystem state under the user's home (~/.openclaw) and can call the openclaw CLI to kill sessions. Those privileges are coherent with its purpose but have non-trivial impact (ability to terminate sessions). There is no evidence the skill modifies other skills' configs or requests system-wide persistent installation beyond its workspace files.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install long-task-monitor
  3. After installation, invoke the skill by name or use /long-task-monitor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
Version 1.0.3 - 文档新增并强调 session key 必须包含冒号(:)用于 agent 标识,过滤函数已允许此字符 - 在安全说明明确仅允许带冒号的 session key 作为安全字符 - 已知限制补充:Monitor Agent 必须使用 exec 工具执行 shell 命令以写入监控日志,这是架构固有限制 - 其他文档细节优化,实际代码未变
v1.0.2
No file changes detected. Documentation updated in SKILL.md with safety information. - Added a new section "⚠️ 安全说明" detailing security hardening, including use of execFile, input filtering, and dependency trust guidance. - No functional or code changes in this version.
v1.0.1
long-task-monitor 1.0.1 - Updated skill description for clarity and brevity. - Moved the English description to its own section for easier reference. - Simplified and streamlined documentation formatting. - No functional or code changes in this version.
v1.0.0
Initial release of long-task-monitor (V2) for long-running task management. - Implements Worker-Monitor architecture for tracking long-duration tasks such as model training and large-scale data processing. - Main session polls Monitor for updates every 10 minutes, accommodating OpenClaw subagent sessions_send limitations. - Provides command-line utilities to start/track/update/complete tasks and manage Worker/Monitor sessions. - Requires hook-logger plugin to read Worker status. - Detailed usage instructions, file structure, and known limitations included in documentation. - Recommended for OpenClaw v2.21+; uses manual session key updates and task completion flow.
Metadata
Slug long-task-monitor
Version 1.0.3
License
All-time Installs 0
Active Installs 0
Total Versions 4
Frequently Asked Questions

What is 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、... It is an AI Agent Skill for Claude Code / OpenClaw, with 822 downloads so far.

How do I install 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?

Run "/install long-task-monitor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

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Yes, 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 is completely free (open-source). You can download, install and use it at no cost.

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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 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 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?

It is built and maintained by scotthuang (@scotthuang); the current version is v1.0.3.

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