Tencent SkillHub · Communication & Collaboration

Linkedin Monitor

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.

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High Signal

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

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

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: CRON-PAYLOAD.md, README.md, SKILL.md, docs/SETUP.md, docs/TROUBLESHOOT.md, package.json

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.1.0

Provenance

Publisher: dylanbaker24
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 14 sections Open source page

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

LevelNameBehavior0Monitor OnlyAlerts to new messages only1Draft + ApproveDrafts replies, waits for approval2Auto-Reply SimpleAuto-handles acknowledgments, scheduling3Full 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 } }

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

"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

Category context

Messaging, meetings, inboxes, CRM, and teammate communication surfaces.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

5 Docs1 Config

SKILL.md Primary doc
CRON-PAYLOAD.md Docs
docs/SETUP.md Docs
docs/TROUBLESHOOT.md Docs
README.md Docs
package.json Config