linkedin

linkedin is a skill for Claude Code, Codex from Linked-API/linkedin-skills. It costs 39 tokens per session (6,222 once invoked), scanned A, a copy of linkedin, MIT.

A tool for automating LinkedIn tasks through a cloud browser, including finding profiles and companies, managing connections, sending messages, and publishing or responding to posts. LinkedIn is a professional networking platform.

In plain words
What is it for?
Use it to search for people or companies, read profiles, send connection requests or messages, manage connections, create posts, react or comment, and retrieve LinkedIn data.
Why use it?
Repeated LinkedIn work can take time and may require checking authentication, account limits, and operation status. The instructions describe the available commands, setup requirements, and how to handle authentication failures.

Skill for Claude CodeCodex

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

Good fit Use it to search for people or companies, read profiles, send connection requests or messages, manage connections, create posts, react or comment, and retrieve LinkedIn data.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/linked-api/linkedin-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 Linked-API/linkedin-skills --skill linkedin
Clone the repo
git clone --depth 1 https://github.com/Linked-API/linkedin-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/linked-api/linkedin-skills/linkedin/github.svg)](https://agentmods.dev/skills/linked-api/linkedin-skills/linkedin)
Your own site
<a href="https://agentmods.dev/skills/linked-api/linkedin-skills/linkedin"><img src="https://agentmods.dev/badge/skills/linked-api/linkedin-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/linked-api/linkedin-skills/linkedin"><img src="https://agentmods.dev/badge/skills/linked-api/linkedin-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 6,222 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 91% 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 $0.06222
Opus 5.5 $0.00016 $0.02489
Sonnet 5.5 $0.00008 $0.01244
Haiku 4.5 $0.00004 $0.00622

Measured today against content hash 5d518b8cf157, 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 today.

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

91% identical to linkedin — 144 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.

linkedin/SKILL.md · 658 lines

How it starts

The opening of the file, as written. The whole thing — 658 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 · 658 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. today Changed · +17 lines 5d518b8cf157
  2. 4d ago Changed · +27 lines dba6ad80c92b
  3. 8d ago Changed · +33 lines 3f32c98926bd
  4. 11d ago Changed · +8 lines f199751efed5
  5. 17d ago Changed · +26 lines 545ce70238a6
  6. 1mo ago First seen · 547 lines · 39 tokens per session scan A 655c8f4efc15

Subscribe to this mod's changes

linkedin is a skill published in the GitHub repository Linked-API/linkedin-skills (97 stars, last pushed yesterday), licensed MIT. It adds 39 tokens to every session and 6,222 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 91% identical to linkedin, differing in 144 lines, and is treated as a copy.

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