linkedin

linkedin is a skill for Claude Code, Codex from joevstaas/awesome-claude-skills. It costs 39 tokens per session (4,166 once invoked), scanned A, a copy of linkedin, MIT.

A command-line tool for interacting with LinkedIn through an automated web browser. It can find people and companies, read profiles, send messages, manage connections, and publish or engage with posts.

In plain words
What is it for?
Use it to search LinkedIn, inspect profiles and companies, contact people, manage connections, and create or interact with posts.
Why use it?
It removes the need to perform these LinkedIn actions manually in a browser. Operations may take from about 30 seconds to several minutes.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search LinkedIn, inspect profiles and companies, contact people, manage connections, and create or interact with posts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/joevstaas/awesome-claude-skills/linkedin
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add joevstaas/awesome-claude-skills --skill linkedin
Clone the repo
git clone --depth 1 https://github.com/joevstaas/awesome-claude-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for linkedin

README.md
[![agentmods](https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/linkedin/github.svg)](https://agentmods.dev/skills/joevstaas/awesome-claude-skills/linkedin)
Your own site
<a href="https://agentmods.dev/skills/joevstaas/awesome-claude-skills/linkedin"><img src="https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/linkedin/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for linkedin

Your own site · 80×15
<a href="https://agentmods.dev/skills/joevstaas/awesome-claude-skills/linkedin"><img src="https://agentmods.dev/badge/skills/joevstaas/awesome-claude-skills/linkedin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,166 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.04166
Opus 5.5 $0.00016 $0.01666
Sonnet 5.5 $0.00008 $0.00833
Haiku 4.5 $0.00004 $0.00417

Measured 6d ago against content hash c44a28e14f22, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

linkedin scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to linkedin — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/linkedin/SKILL.md · 516 lines

How it starts

The opening of the file, as written. The whole thing — 516 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Skill

You have access to linkedin – a CLI tool for LinkedIn automation. Use it to fetch profiles, search people and companies, send messages, manage connections, create posts, react, comment, and more.

Each command sends a request to Linked API, which runs a real cloud browser to perform the action on LinkedIn. Operations are not instant – expect 30 seconds to several minutes depending on complexity.

If linkedin is not available, install it:

npm install -g @linkedapi/linkedin-cli

Authentication

If a command fails with exit code 2 (authentication error), ask the user to set up their account:

  1. Go to app.linkedapi.io and sign up or log in
  2. Connect their LinkedIn account
  3. Copy the Linked API Token and Identification Token from the dashboard

Once the user provides the tokens, run:

linkedin setup --linked-api-token=TOKEN --identification-token=TOKEN

Global Flags

Always use --json and -q for machine-readable output:

LINKEDAPI_CLIENT=skill:linkedin linkedin <command> --json -q

When using this skill, run every linkedin ... example below with the LINKEDAPI_CLIENT=skill:linkedin prefix so Linked API can attribute usage to the skill.

Flag Description
--json Structured JSON output
--quiet / -q Suppress stderr progress messages
--fields name,url,... Select specific fields in output
--no-color Disable colors
--account "Name" Use a specific account for this command

Output Format

Success:

{"success": true, "data": {"name": "John Doe", "headline": "Engineer"}}

Error:

{"success": false, "error": {"type": "personNotFound", "message": "Person not found"}}

Exit code 0 means the API call succeeded – always check the success field for the action outcome. Non-zero exit codes indicate infrastructure errors:

Exit Code Meaning
0 Success (check success field – action may have returned an error like "person not found")
1 General/unexpected error
2 Missing or invalid tokens
3 Subscription/plan required
4 LinkedIn account issue
5 Invalid arguments
6 Rate limited
7 Network error
8 Workflow timeout (workflowId returned for recovery)

Read the full file on GitHub · 516 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 516 lines · 39 tokens per session scan A c44a28e14f22

Subscribe to this mod's changes

linkedin is a skill published in the GitHub repository joevstaas/awesome-claude-skills (6 stars, last pushed 4d ago), licensed MIT. It adds 39 tokens to every session and 4,166 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to linkedin, differing in 0 lines, and is treated as a copy.

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