linkedin-copy

linkedin-copy is a skill for Claude Code, Codex from floomhq/moto. It costs 72 tokens per session (884 once invoked), scanned A, original, MIT.

A writing guide for LinkedIn posts, profile text, and other professional content. LinkedIn is a social network used for careers, hiring, and business networking.

In plain words
What is it for?
Use it to draft LinkedIn posts, update a profile bio, describe professional experience, or share something built, learned, or observed.
Why use it?
It helps avoid vague advice, forced personal stories, and engagement-bait posts by focusing on specific experiences, useful details, and short paragraphs.

Skill for Claude CodeCodex

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

Good fit Use it to draft LinkedIn posts, update a profile bio, describe professional…

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Install with agentmods
npx agentmods add skills/floomhq/moto/linkedin-copy
View source ↗ floomhq/moto
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 floomhq/moto --skill linkedin-copy
Clone the repo
git clone --depth 1 https://github.com/floomhq/moto

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-copy

README.md
[![agentmods](https://agentmods.dev/badge/skills/floomhq/moto/linkedin-copy.svg)](https://agentmods.dev/skills/floomhq/moto/linkedin-copy)
Your own site
<a href="https://agentmods.dev/skills/floomhq/moto/linkedin-copy"><img src="https://agentmods.dev/badge/skills/floomhq/moto/linkedin-copy.svg" alt="Measured on agentmods" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 884 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 $0.00072 $0.00884
Opus 5 $0.00036 $0.00442
Sonnet 5 $0.00014 $0.00177
Haiku 4.5 $0.00007 $0.00088

Measured 7d ago against content hash 027d61f5c3ee, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

linkedin-copy 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 7d 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.

claude/skills/linkedin-copy/SKILL.md · 122 lines

How it starts

The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Copy Skill

The Problem with Most LinkedIn Content

LinkedIn is saturated with:

  • Humble brags disguised as lessons ("I was rejected 47 times before...")
  • Fake vulnerability ("I almost quit until...")
  • Generic advice ("5 things I wish I knew earlier")
  • Engagement bait ("Comment YES if you agree")

Good LinkedIn content is rare precisely because it's genuinely useful, honest, and specific.

What Works

Specificity over generality: "We increased checkout conversion by 23% by removing one field" beats "small changes = big results"

Show the work: What actually happened, what you built, what you learned. Data > inspiration.

Honest takes: Disagree with conventional wisdom if you have evidence. Nuance beats hot takes.

Short paragraphs: One idea per paragraph. No walls of text. LinkedIn is a scroll feed.

Post Formats

The Observation Post

Share something you noticed that others might have missed.

[Specific observation about your field/work]

[Why this matters - the implication]

[Your take or what you're doing about it]

The Build Post

Show something you built, shipped, or created.

[What you built - one sentence]

[Why it was hard / what problem it solves]

[Key result or learning]

[Link or call to action if relevant]

The Learning Post

Share something you learned that changed how you think.

[The old assumption you had]

[What changed your mind - specific incident, data, or experience]

[The new way you think about it]

The Contrarian Take

Disagree with conventional wisdom, backed by evidence.

[The common advice / conventional wisdom]

[Why it's wrong or incomplete - with your evidence]

[What you think instead]

Formatting Rules

  • First line is the hook - must make someone stop scrolling
  • Short paragraphs - 1-3 sentences max
  • No bullet lists on first post (LinkedIn de-ranks heavy formatting)
  • End with a question only if you genuinely want answers (not engagement bait)
  • No hashtag spam - 2-3 relevant hashtags maximum, at the end
  • No "thoughts?" at the end - it's a tell that the post is engagement farming

Read the full file on GitHub · 122 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. 7d ago First seen · 122 lines · 72 tokens per session scan A 027d61f5c3ee

Subscribe to this mod's changes

linkedin-copy is a skill published in the GitHub repository floomhq/moto (32 stars, last pushed 2mo ago), licensed MIT. It adds 72 tokens to every session and 884 once invoked, about $0.0004 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.

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