linkedin-project-post

linkedin-project-post is a command for coding agents from alfredang/skills. It costs 45 tokens per session (807 once invoked), scanned A, original, no licence file.

A command for creating a LinkedIn post, where LinkedIn is a professional social network, about a coding project.

In plain words
What is it for?
Use it to draft posts with a hook, demo and repository links, features, technologies, a call to action, and hashtags; it can also publish through a LinkedIn connection.
Why use it?
It gathers the project details needed for a post and can capture a demo screenshot, reducing the work of presenting a project online.

Command

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.

agentmods
npx agentmods add commands/alfredang/skills/linkedin-project-post
Clone the repo
git clone --depth 1 https://github.com/alfredang/skills

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-project-post

README.md
[![agentmods](https://agentmods.dev/badge/commands/alfredang/skills/linkedin-project-post.svg)](https://agentmods.dev/commands/alfredang/skills/linkedin-project-post)
Your own site
<a href="https://agentmods.dev/commands/alfredang/skills/linkedin-project-post"><img src="https://agentmods.dev/badge/commands/alfredang/skills/linkedin-project-post.svg" alt="Measured on agentmods" height="20"></a>
Per session 45 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 807 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00045 $0.00807
Opus 5 $0.00023 $0.00404
Sonnet 5 $0.00009 $0.00161
Haiku 4.5 $0.00005 $0.00081

Measured 5d ago against content hash 2611cc5ee908, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linkedin-project-post 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 5d 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.

commands/linkedin-project-post.md · 54 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 5d ago First seen · 54 lines · 45 tokens per session scan A 2611cc5ee908

Subscribe to this mod's changes

linkedin-project-post is a command published in the GitHub repository alfredang/skills (2 stars, last pushed 2mo ago), with no licence file. It adds 45 tokens to every session and 807 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 2026-08-31.