How do I install the Linkedin Connection Agent skill?

Run npx skillmds@latest add kevinbadi/linkedin-connection-agent in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Is Linkedin Connection Agent free to use?

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Who published Linkedin Connection Agent?

kevinbadi (@kevinbadi) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Linkedin Connection Agent by kevinbadi

Name: Linkedin Connection Agent
Author: kevinbadi

Linkedin Connection Agent

Tracks LinkedIn connection requests sent via PhantomBuster and stores analytics in the database. Monitors acceptance rates, pending invites, and new connections. Trigger when asked about LinkedIn connection tracking, LinkedIn outreach analytics, or PhantomBuster LinkedIn results.

kevinbadi 3eafb8e 4 files · 28.5 KB Updated Sep 17, 2026

File contents

LinkedIn Connection Agent

Fetches LinkedIn connection request results from a PhantomBuster agent, calculates acceptance metrics, and stores analytics in the database. Runs as a daily cron job via Modal.

What It Does

Calls PhantomBuster API to get latest LinkedIn connection results
Downloads structured JSON profile data from S3
Calculates metrics: total sent, accepted, pending, acceptance rate
Stores aggregate stats and individual profiles in linkedin_agent_data table
Tracks status changes (e.g., "Invitation sent" → "Request accepted")

How to Run

Local

# View analytics only
python3 skills/linkedin-connection-agent/scripts/linkedin_connection_agent.py --analytics

# Store results in database
python3 skills/linkedin-connection-agent/scripts/linkedin_connection_agent.py --analytics --store

Modal Cron (Daily at 6 PM EST / 11 PM UTC)

modal deploy skills/linkedin-connection-agent/scripts/modal_linkedin_connections.py
modal run skills/linkedin-connection-agent/scripts/modal_linkedin_connections.py

Configuration

Environment Variables

PHANTOMBUSTER_API_KEY=xxx
PHANTOMBUSTER_AGENT_ID=685897070795556  # LinkedIn connections agent
DATABASE_URL=postgresql://...

Dependencies

pip install requests psycopg2-binary python-dotenv

Metrics Parsing (Important)

total_sent = profiles with invitationDate (we sent them an invite)
total_accepted = profiles with status = "Request accepted"
pending = profiles with status = "Invitation sent"
acceptance_rate = total_accepted / total_sent × 100

Do NOT count "Already connected" as accepted — those are pre-existing connections.

Important Notes

PhantomBuster daily limit: 20 connection requests
Agent ID 685897070795556 is required — it's the specific LinkedIn connections agent
Individual profiles tracked by unique linkedin_url for status updates
Aggregate stats stored daily for trend tracking

Scripts

File	Purpose
`linkedin_connection_agent.py`	Local analytics script
`modal_linkedin_connections.py`	Modal cron deployment

---name: linkedin-connection-agentdescription: Tracks LinkedIn connection requests sent via PhantomBuster and stores analytics in the database. Monitors acceptance rates, pending invites, and new connections. Trigger when asked about LinkedIn connection tracking, LinkedIn outreach analytics, or PhantomBuster LinkedIn results.---# LinkedIn Connection AgentFetches LinkedIn connection request results from a PhantomBuster agent, calculates acceptance metrics, and stores analytics in the database. Runs as a daily cron job via Modal.## What It Does1. Calls PhantomBuster API to get latest LinkedIn connection results2. Downloads structured JSON profile data from S33. Calculates metrics: total sent, accepted, pending, acceptance rate4. Stores aggregate stats and individual profiles in `linkedin_agent_data` table5. Tracks status changes (e.g., "Invitation sent" → "Request accepted")## How to Run### Local```bash# View analytics onlypython3 skills/linkedin-connection-agent/scripts/linkedin_connection_agent.py --analytics# Store results in databasepython3 skills/linkedin-connection-agent/scripts/linkedin_connection_agent.py --analytics --store```### Modal Cron (Daily at 6 PM EST / 11 PM UTC)```bashmodal deploy skills/linkedin-connection-agent/scripts/modal_linkedin_connections.pymodal run skills/linkedin-connection-agent/scripts/modal_linkedin_connections.py```## Configuration### Environment Variables```envPHANTOMBUSTER_API_KEY=xxxPHANTOMBUSTER_AGENT_ID=685897070795556 # LinkedIn connections agentDATABASE_URL=postgresql://...```### Dependencies```bashpip install requests psycopg2-binary python-dotenv```## Metrics Parsing (Important)- **total_sent** = profiles with `invitationDate` (we sent them an invite)- **total_accepted** = profiles with `status = "Request accepted"`- **pending** = profiles with `status = "Invitation sent"`- **acceptance_rate** = total_accepted / total_sent × 100**Do NOT count** "Already connected" as accepted — those are pre-existing connections.## Important Notes- PhantomBuster daily limit: 20 connection requests- Agent ID `685897070795556` is required — it's the specific LinkedIn connections agent- Individual profiles tracked by unique `linkedin_url` for status updates- Aggregate stats stored daily for trend tracking## Scripts| File | Purpose ||------|---------|| `linkedin_connection_agent.py` | Local analytics script || `modal_linkedin_connections.py` | Modal cron deployment |

Frequently asked questions