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lulu-monitor露露监视器

Agent Skill

lulu-monitor 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。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

51,817

周安装

2,076

GitHub Stars

公开资料未说明

下载量

16,774
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:lulu-monitor(露露监视器)
来源仓库:https://github.com/easonc13/lulu-monitor
安装命令:
openclaw skills install lulu-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 lulu-monitor

简介

lulu-monitor 作为 LuLu 防火墙的 AI 伴侣,监控警报并发送 Telegram 通知。

  • 适合远程设备安全管理、异常连接识别或自动化响应场景。
  • 支持实时推送、一键允许/阻止和连接历史追溯功能。
  • 使用前需配置 Telegram Bot Token,建议启用双因素认证增强安全性。
  • 注意网络延迟可能导致通知滞后,应设置合理的轮询间隔。

SKILL.md

name
lulu-monitor
description
AI-powered LuLu Firewall companion for macOS. Monitors firewall alerts, analyzes connections with AI, sends Telegram notifications with Allow/Block buttons. Use when setting up LuLu integration, handling firewall callbacks, or troubleshooting LuLu Monitor issues.

LuLu Monitor

AI-powered companion for LuLu Firewall on macOS.

LuLu Monitor Screenshot

What It Does

  1. Monitors LuLu firewall alert popups
  2. Extracts connection info (process, IP, port, DNS)
  3. Spawns a fast AI (haiku) to analyze the connection
  4. Sends Telegram notification with risk assessment
  5. Provides 4 action buttons: Always Allow, Allow Once, Always Block, Block Once
  6. Executes the action on LuLu when user taps a button

Auto-Execute Mode (Optional)

For reduced interruptions, enable auto-execute mode. When the AI has high confidence (known safe programs like curl, brew, node, git connecting to normal destinations), it will:

  1. Automatically execute the Allow action
  2. Still send a Telegram notification explaining what was auto-allowed

To enable:

# Create config.json in install directory
cat > ~/.openclaw/lulu-monitor/config.json << 'EOF'
{
  "telegramId": "YOUR_TELEGRAM_ID",
  "autoExecute": true,
  "autoExecuteAction": "allow-once"
}
EOF

Options:

  • autoExecute: false (default) - all alerts require manual button press
  • autoExecuteAction: "allow-once" (default, conservative) or "allow" (permanent rule)

Installation

Prerequisites

Run the check script first:

bash scripts/check-prerequisites.sh

Required:

  • LuLu Firewall: brew install --cask lulu
  • Node.js: brew install node
  • OpenClaw Gateway: Running with Telegram channel configured
  • Accessibility Permission: System Settings > Privacy > Accessibility > Enable Terminal/osascript

Gateway Configuration (Required)

The monitor calls sessions_spawn via OpenClaw's /tools/invoke HTTP API. This tool is blocked by default. Add it to the allowlist in ~/.openclaw/openclaw.json:

{
  "gateway": {
    "tools": {
      "allow": ["sessions_spawn"]
    }
  }
}

Without this, alerts will be detected but fail to forward (404 in logs).

Install

bash scripts/install.sh

This will:

  1. Clone the repo to ~/.openclaw/lulu-monitor/
  2. Install npm dependencies
  3. Set up launchd for auto-start
  4. Start the service

Verify

curl http://127.0.0.1:4441/status

Should return {"running":true,...}

Sending Alerts with Inline Buttons

⚠️ The message tool's buttons/components parameter does NOT work for Telegram inline buttons. You must use the CLI via exec:

openclaw message send --channel telegram --target <chat_id> \
  --message "🔔 LuLu Alert: <summary>" \
  --buttons '[[{"text":"✅ Always Allow","callback_data":"lulu:allow"},{"text":"✅ Allow Once","callback_data":"lulu:allow-once"}],[{"text":"❌ Always Block","callback_data":"lulu:block"},{"text":"❌ Block Once","callback_data":"lulu:block-once"}]]'

After sending via CLI, reply with NO_REPLY to avoid duplicate messages.

Handling Callbacks

When user clicks a Telegram button, OpenClaw receives a callback like:

callback_data: lulu:allow
callback_data: lulu:allow-once
callback_data: lulu:block
callback_data: lulu:block-once

To handle it, call the local endpoint:

curl -X POST http://127.0.0.1:4441/callback \
  -H "Content-Type: application/json" \
  -d '{"action":"allow"}'  # or "block", "allow-once", "block-once"

This will:

  1. Click the appropriate button on LuLu alert
  2. Set Rule Scope to "endpoint"
  3. Set Rule Duration to "Always" or "Process lifetime"
  4. Edit the Telegram message to show result

Troubleshooting

Service not running

# Check status
launchctl list | grep lulu-monitor

# View logs
tail -f ~/.openclaw/lulu-monitor/logs/stdout.log

# Restart
launchctl unload ~/Library/LaunchAgents/com.openclaw.lulu-monitor.plist
launchctl load ~/Library/LaunchAgents/com.openclaw.lulu-monitor.plist

Accessibility permission issues

AppleScript needs permission to control LuLu. Go to: System Settings > Privacy & Security > Accessibility Enable: Terminal, iTerm, or whatever terminal you use

Alert not detected

  • Ensure LuLu is running: pgrep -x LuLu
  • Check if alert window exists: osascript -e 'tell application "System Events" to tell process "LuLu" to get every window'

Uninstall

bash ~/.openclaw/lulu-monitor/skill/scripts/uninstall.sh

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

74.05%
按下载量换算12,421

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install lulu-monitor 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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