What is LinkedIn Automation?

A LinkedIn workflow assistant for planning and publishing posts, finding potential business contacts, and managing outreach.

Use it to plan LinkedIn content, create and schedule posts, search and qualify leads, and send connection requests.

It reduces the manual work of keeping a content schedule, searching for suitable contacts, and preparing follow-up messages.

LinkedIn Automation — Skill by claude-office-skills/skills

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 claude-office-skills/skills --skill linkedin-automation

Clone the repo

git clone --depth 1 https://github.com/claude-office-skills/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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/claude-office-skills/skills/linkedin-automation/github.svg)](https://agentmods.dev/skills/claude-office-skills/skills/linkedin-automation)

Your own site

<a href="https://agentmods.dev/skills/claude-office-skills/skills/linkedin-automation"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/linkedin-automation/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/claude-office-skills/skills/linkedin-automation"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/linkedin-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,472 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. Third-party audits

Socket warn 23 Oct 2026
Snyk pass 20 Oct 2026

How audits are shown

Origin original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00019	$0.02472
Opus 5.5	$0.00008	$0.00989
Sonnet 5.5	$0.00004	$0.00494
Haiku 4.5	$0.00002	$0.00247

Measured 2mo ago against content hash 118be0e0ed91, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

LinkedIn Automation 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 2mo 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.

linkedin-automation/SKILL.md · 456 lines

How it starts

The opening of the file, as written. The whole thing — 456 lines — stays where its author put it; the contents beside it link to each section on GitHub.