content-linkedin

content-linkedin is a skill for Claude Code, Codex from vstorm-co/content-skills. It costs 33 tokens per session (1,301 once invoked), scanned A, original, MIT.

A skill for writing LinkedIn posts in a professional voice adapted to the subject and the author’s brand. LinkedIn is a professional social network used for sharing work-related updates and ideas.

In plain words
What is it for?
Use it to create LinkedIn posts, adapt existing brand-voice guidance, and write updates for professional audiences.
Why use it?
It helps turn a topic into a post format that fits the message, such as a personal story, professional insight, or contrarian opinion.

Skill for Claude CodeCodex

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

Good fit Use it to create LinkedIn posts, adapt existing brand-voice guidance, and write updates for professional audiences.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vstorm-co/content-skills/content-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 vstorm-co/content-skills --skill content-linkedin
Clone the repo
git clone --depth 1 https://github.com/vstorm-co/content-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 content-linkedin

README.md
[![agentmods](https://agentmods.dev/badge/skills/vstorm-co/content-skills/content-linkedin/github.svg)](https://agentmods.dev/skills/vstorm-co/content-skills/content-linkedin)
Your own site
<a href="https://agentmods.dev/skills/vstorm-co/content-skills/content-linkedin"><img src="https://agentmods.dev/badge/skills/vstorm-co/content-skills/content-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 content-linkedin

Your own site · 80×15
<a href="https://agentmods.dev/skills/vstorm-co/content-skills/content-linkedin"><img src="https://agentmods.dev/badge/skills/vstorm-co/content-skills/content-linkedin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,301 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 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.01301
Opus 5 $0.00016 $0.00651
Sonnet 5 $0.00007 $0.00260
Haiku 4.5 $0.00003 $0.00130

Measured 12d ago against content hash 85596a1241e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

content-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 12d 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.

skills/content-linkedin/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Post Generation

Before You Start

  1. Check for brand voice: Read brand/VOICE.md if it exists. Adapt the brand voice for LinkedIn's professional-but-personal tone. If no voice file exists, default to professional, authentic, and insight-driven.

  2. Determine post type: Choose the format that fits the content:

    • Personal Story -- Lessons from experience (templates/personal-story.template)
    • Professional Insight -- Frameworks, observations, advice (templates/professional-insight.template)
    • Contrarian Take -- Challenging industry assumptions (templates/contrarian-take.template)
  3. Gather inputs: Topic, key message, target audience (role/seniority), any data or examples to include.


LinkedIn's Unique Culture

LinkedIn sits in a specific cultural space. Understand it before writing:

What works:

  • Professional experiences told as personal stories
  • Specific, actionable advice grounded in real experience
  • Vulnerable honesty about failures and lessons learned
  • Frameworks and mental models that help people think
  • Data-backed observations about industry trends
  • Asking genuine questions that invite thoughtful discussion

What doesn't work:

  • Corporate press releases disguised as personal posts
  • Vague inspirational platitudes ("Success is a journey, not a destination")
  • Humblebragging ("I'm so humbled to announce...")
  • Engagement bait without substance ("Agree?" "Thoughts?")
  • Reposting motivational quotes with "This." as your commentary
  • Multi-paragraph LinkedIn posts that are actually just ads

The core rule: LinkedIn rewards posts that make the reader think, learn, or reflect. If your post does none of these, rewrite it.


Post Structure

LinkedIn's algorithm and reading experience reward a specific structure:

Hook Line (First 1-2 Lines)

  • This is the only thing visible before "...see more"
  • It must create enough curiosity or value-promise to earn the click
  • Strong hooks: bold claim, surprising observation, specific result, a question
  • Weak hooks: "I'm excited to share...", "Big news!", generic statements

Read the full file on GitHub · 156 lines

Files

What ships with it

4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 12d ago First seen · 156 lines · 33 tokens per session scan A 85596a1241e7

Subscribe to this mod's changes

content-linkedin is a skill published in the GitHub repository vstorm-co/content-skills (22 stars, last pushed 4mo ago), licensed MIT. It adds 33 tokens to every session and 1,301 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.