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agent-monitorAgent 监视器

Agent Skill

agent-monitor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,644

周安装

108

GitHub Stars

公开资料未说明

下载量

855
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:agent-monitor(Agent 监视器)
来源仓库:https://github.com/openlark/agent-monitor
安装命令:
openclaw skills install agent-monitor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install agent-monitor

简介

agent-monitor 实现座席工作状态的实时监控与自动激活机制。

  • 当检测到子代理长时间无响应时,可触发停滞状态处理流程。
  • 支持运行状态检测与异常响应,提升代理系统稳定性。
  • 安装命令为 openclaw skills install agent-monitor,需确认权限与维护状态。
  • 使用前请核实是否会触发联网、命令执行或文件读写操作。

SKILL.md

name
agent-monitor
description
Agent work status monitoring and automatic activation system. Triggers when monitoring subagent runtime status, detecting prolonged unresponsive "stalled" states, and automatically activating them to resume operation. Suitable for long-running task monitoring, automated operations, agent health checks, and similar scenarios.

Agent Monitor - Agent Work Status Monitoring

Overview

This skill provides subagent work status monitoring and automatic activation capabilities:

  1. Status Monitoring - Real-time monitoring of agent runtime status
  2. Stall Detection - Detecting "stalled" states where an agent has been unresponsive for over 5 minutes
  3. Automatic Activation - Automatically sending activation messages to resume agent operation

Core Capabilities

1. Monitor Agent Status

Use the subagents tool to obtain a list of currently running agents:

# List recently running agents
subagents(action="list", recentMinutes=30)

2. Detect Stalled Status

Detection logic:

  • Obtain the agent's last activity time
  • Calculate the difference from the current time
  • If over 5 minutes (300 seconds) with no activity → Determine as "stalled"

3. Automatically Activate Agents

Use the steer action of the subagents tool to send an activation message:

# Send an activation message to a specified agent
subagents(action="steer", target="<agent-id>", message="Continue working")

Workflow

┌─────────────────────┐
│  Get Agent List     │
└──────────┬──────────┘
           ▼
┌─────────────────────┐
│ Check Each Agent's  │
│  Last Activity Time │
└──────────┬──────────┘
           ▼
      ┌────────┐
      │ >5min? ├──No──┐
      └────┬───┘      │
          Yes│         │
           ▼          │
┌─────────────────────┐│
│  Determine as       ││
│  Stalled Status     ││
└──────────┬──────────┘│
           ▼           │
┌─────────────────────┐│
│  Send Activation    ││
│  Message to Resume  ││
└─────────────────────┘│
           │           │
           └───────────┘
                 ▼
        ┌─────────────────┐
        │ Continue Monitoring│
        └─────────────────┘

Usage Examples

Example 1: Monitor All Agents

# 1. Get agent list
result = subagents(action="list", recentMinutes=30)

# 2. Check each agent's status
for agent in result.agents:
    idle_time = calculate_idle_time(agent.lastActivity)
    if idle_time > 300:  # Over 5 minutes
        # 3. Automatically activate
        subagents(action="steer", target=agent.id, message="Please continue executing the task")

Example 2: Monitor a Specific Agent

# Monitor an agent with a specified ID
agent_id = "builder-agent-001"
result = subagents(action="list", recentMinutes=10)

# Find the target agent
for agent in result.agents:
    if agent.id == agent_id:
        if is_stalled(agent, threshold=300):
            activate_agent(agent_id)

Script Tool

monitor_agents.py

Located at scripts/monitor_agents.py, provides complete monitoring functionality:

# Monitor and automatically activate stalled agents
python scripts/monitor_agents.py --threshold 300 --auto-activate

# Detect only, without automatic activation
python scripts/monitor_agents.py --threshold 300 --dry-run

# Monitor a specific agent
python scripts/monitor_agents.py --target agent-id-001

Parameter descriptions:

  • --threshold: Stall determination threshold (seconds), default 300 (5 minutes)
  • --auto-activate: Automatically activate stalled agents
  • --dry-run: Detect only, do not execute activation
  • --target: Specify a specific agent ID to monitor

Integration into Scheduled Tasks

The monitoring script can be integrated into cron scheduled tasks for continuous monitoring:

# Check every 2 minutes
*/2 * * * * python /path/to/monitor_agents.py --auto-activate

Notes

  1. Threshold Setting: Adjust the stall determination threshold based on the task type; complex tasks may require longer thresholds
  2. Activation Message: Activation messages sent should be concise and clear, prompting the agent to continue working
  3. Avoid False Activation: Ensure the agent is genuinely stalled before activating to avoid interfering with normal thought processes
  4. Logging: It is recommended to log each detection and activation operation for subsequent analysis

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.11%
按下载量换算625

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

权限需确认

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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