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linkedin-monitor领英监控

Agent Skill

linkedin-monitor 用于处理音频、语音、转写和声音素材相关任务,适合在 OpenClaw 中需要整理音频流程、转写内容或生成配音素材时使用。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

65,527

周安装

2,786

GitHub Stars

公开资料未说明

下载量

22,957
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:linkedin-monitor(领英监控)
来源仓库:https://github.com/dylanbaker24/linkedin-monitor
安装命令:
openclaw skills install linkedin-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 linkedin-monitor

简介

Bulletproof LinkedIn 收件箱监控具有渐进式自主性。每小时监控一次消息,用您的声音草拟回复,并提醒您有新对话。支持从仅监控到完全自主的 4 个自主级别。

SKILL.md

name
linkedin-monitor
description
Bulletproof LinkedIn inbox monitoring with progressive autonomy. Monitors messages hourly, drafts replies in your voice, and alerts you to new conversations. Supports 4 autonomy levels from monitor-only to full autonomous.
version
1.0.0
author
Dylan Baker / lilAgents

LinkedIn Monitor

Reliable LinkedIn inbox monitoring for Clawdbot.

Features

  • Hourly monitoring — Checks inbox every hour, 24/7
  • Deterministic state — No duplicate notifications, ever
  • Progressive autonomy — Start supervised, graduate to autonomous
  • Health checks — Alerts when auth expires or things break
  • Your voice — Drafts replies using your communication style

Quick Start

# 1. Setup (interactive)
linkedin-monitor setup

# 2. Verify health
linkedin-monitor health

# 3. Run manually (test)
linkedin-monitor check

# 4. Enable cron (hourly)
linkedin-monitor enable

Autonomy Levels

LevelNameBehavior
0Monitor OnlyAlerts to new messages only
1Draft + ApproveDrafts replies, waits for approval
2Auto-Reply SimpleAuto-handles acknowledgments, scheduling
3Full AutonomousReplies as you, books meetings, networks

Default: Level 1 — Change with linkedin-monitor config autonomyLevel 2

Commands

linkedin-monitor setup      # Interactive setup wizard
linkedin-monitor health     # Check auth status
linkedin-monitor check      # Run one check cycle
linkedin-monitor enable     # Enable hourly cron
linkedin-monitor disable    # Disable cron
linkedin-monitor status     # Show current state
linkedin-monitor config     # View/edit configuration
linkedin-monitor logs       # View recent activity
linkedin-monitor reset      # Clear state (start fresh)

Configuration

Location: ~/.clawdbot/linkedin-monitor/config.json

{
  "autonomyLevel": 1,
  "alertChannel": "discord",
  "alertChannelId": "YOUR_CHANNEL_ID",
  "calendarLink": "cal.com/yourname",
  "communicationStyleFile": "USER.md",
  "timezone": "America/New_York",
  "schedule": "0 * * * *",
  "morningDigest": {
    "enabled": true,
    "hour": 9,
    "timezone": "Asia/Bangkok"
  },
  "safetyLimits": {
    "maxMessagesPerDay": 50,
    "escalationKeywords": ["angry", "legal", "refund"],
    "dailyDigest": true
  }
}

How It Works

Monitoring Flow

1. Health Check
   └── Verify LinkedIn auth (lk CLI)
   
2. Fetch Messages
   └── lk message list --json
   
3. Compare State
   └── Filter: only messages not in state file
   
4. For Each New Message
   ├── Level 0: Alert only
   ├── Level 1: Draft reply → Alert → Wait for approval
   ├── Level 2: Simple = auto-reply, Complex = draft
   └── Level 3: Full autonomous response
   
5. Update State
   └── Record message IDs (prevents duplicates)

State Management

State is managed by scripts, not the LLM. This guarantees:

  • No duplicate notifications
  • Consistent behavior across sessions
  • Visible state for debugging

State files: ~/.clawdbot/linkedin-monitor/state/

Sending Approved Messages

When at Level 1, approve drafts with:

send [name]           # Send draft to [name]
send all              # Send all pending drafts
edit [name] [text]    # Edit draft before sending
skip [name]           # Discard draft

Troubleshooting

"Auth expired"

lk auth login
linkedin-monitor health

"No messages found"

linkedin-monitor check --debug

Duplicate notifications

linkedin-monitor reset  # Clear state
linkedin-monitor check  # Fresh start

Dependencies

  • lk CLI (LinkedIn CLI) — npm install -g lk
  • jq (JSON processor) — brew install jq

Files

~/.clawdbot/linkedin-monitor/
├── config.json          # Your configuration
├── state/
│   ├── messages.json    # Seen message IDs
│   ├── lastrun.txt      # Last check timestamp
│   └── drafts.json      # Pending drafts
└── logs/
    └── activity.log     # Activity history

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

70.38%
按下载量换算16,157

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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