review-post

review-post is a command for coding agents from warpirate/linkedin-maxxing. It costs 20 tokens per session (44 once invoked), scanned A, original, no licence file.

A review of one LinkedIn post that produces one to three specific lessons for future posts.

In plain words
What is it for?
Use it to examine a LinkedIn post and identify concrete changes to try in the next attempt.
Why use it?
It turns a single post into practical feedback instead of leaving the author to guess what to improve.

Command

Part of the linkedin-maxxing plugin — 17 skills, 17 commands shipped together

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/warpirate/linkedin-maxxing/review-post
Clone the repo
git clone --depth 1 https://github.com/warpirate/linkedin-maxxing

Or install linkedin-maxxing, the plugin that ships this one along with the rest of its 17 skills, 17 commands.

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 review-post

README.md
[![agentmods](https://agentmods.dev/badge/commands/warpirate/linkedin-maxxing/review-post.svg)](https://agentmods.dev/commands/warpirate/linkedin-maxxing/review-post)
Your own site
<a href="https://agentmods.dev/commands/warpirate/linkedin-maxxing/review-post"><img src="https://agentmods.dev/badge/commands/warpirate/linkedin-maxxing/review-post.svg" alt="Measured on agentmods" height="20"></a>
Per session 20 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 44 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 $0.00020 $0.00044
Opus 5 $0.00010 $0.00022
Sonnet 5 $0.00004 $0.00009
Haiku 4.5 $0.00002 $0.00004

Measured 4d ago against content hash d6584daf1dcc, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

review-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 4d 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.

plugins/linkedin-maxxing/commands/review-post.md · 6 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. 4d ago First seen · 6 lines · 20 tokens per session scan A d6584daf1dcc

Subscribe to this mod's changes

review-post is a command published in the GitHub repository warpirate/linkedin-maxxing (4 stars, last pushed 2mo ago), with no licence file. It adds 20 tokens to every session and 44 once invoked, about $0.0001 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.