linkedin-icp-definer

linkedin-icp-definer is a skill for Claude Code, Codex from styfinity/linkedin-engine. It costs 53 tokens per session (559 once invoked), scanned A, original, MIT.

A LinkedIn audience-definition tool that identifies the ideal customer profile (ICP)—the kind of person and company most likely to buy—from sales evidence. It also records people or companies to exclude and writes the result into a brief.

In plain words
What is it for?
Use it to identify relevant job titles, seniority, company sizes, industries, buying triggers, disqualifiers, and current buying signals for LinkedIn outreach.
Why use it?
It prevents outreach from targeting a vague or imagined audience. It uses won and lost sales notes to make targeting consistent before contacting people.

Skill for Claude CodeCodex

Part of the linkedin-engine plugin — 29 skills, 1 hook, 1 MCP server 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 skills/styfinity/linkedin-engine/linkedin-icp-definer
Any agent
npx skills add styfinity/linkedin-engine --skill linkedin-icp-definer
Clone the repo
git clone --depth 1 https://github.com/styfinity/linkedin-engine

Made for: Claude Code, Codex.

Or install linkedin-engine, the plugin that ships this one along with the rest of its 29 skills, 1 hook, 1 MCP server.

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-icp-definer

README.md
[![agentmods](https://agentmods.dev/badge/skills/styfinity/linkedin-engine/linkedin-icp-definer.svg)](https://agentmods.dev/skills/styfinity/linkedin-engine/linkedin-icp-definer)
Your own site
<a href="https://agentmods.dev/skills/styfinity/linkedin-engine/linkedin-icp-definer"><img src="https://agentmods.dev/badge/skills/styfinity/linkedin-engine/linkedin-icp-definer.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 559 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00053 $0.00559
Opus 5 $0.00026 $0.00280
Sonnet 5 $0.00011 $0.00112
Haiku 4.5 $0.00005 $0.00056

Measured 4d ago against content hash 45d595fffb43, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linkedin-icp-definer 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.

skills/linkedin-icp-definer/SKILL.md · 31 lines

How it starts

The opening of the file, as written. The whole thing — 31 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn ICP Definer

Your ICP is not who you wish bought from you. It is who actually does. This skill reads the evidence, names the disqualifiers out loud, and locks it into the brief so every other skill scores against the same target.

Inputs

  • Won and lost notes, descriptions of your best clients, and who you do NOT want: $ARGUMENTS
  • The brief (offer, pains, voice) loads automatically. If the offer section is thin, fixing it is the first thing to flag.

Do this

  1. Derive the ICP from the evidence, not from aspiration. From the won notes, pull the pattern: title, seniority, company size, industry, and the trigger that made them buy (the event or pain that started the conversation).
  2. Cross-check the lost notes. If a profile shape keeps losing, it is a disqualifier, not a stretch target. Say so.
  3. Write explicit disqualifiers. Name the titles, company sizes, stages, or situations that look close but never convert. Be specific enough that a person could be ruled out in five seconds.
  4. List the 2 or 3 buying signals that mark a live one right now (a hiring post, a funding event, a role change, a public complaint about the exact pain the offer solves).
  5. Phrase every line so the other skills can score against it. Concrete attributes, not adjectives.

Output

A ready-to-paste "## ICP" block for linkedin-brief.md, with three labelled parts: Fit criteria (title, seniority, company size, industry, buying trigger), Disqualifiers (explicit, ruled-out shapes), and Buying signals (the 2 or 3 live markers). Hand it back ready to drop straight into the brief.

Rules

  • ICP from evidence, not aspiration. If a claim is not backed by a won or lost note, mark it an assumption to test, not a fact.
  • Name disqualifiers explicitly. A target with no disqualifiers is not defined yet.
  • Every attribute must be something a sibling skill can score against. No vague adjectives.
  • No em-dashes. Use a comma, a period, or " - ".
  • This writes to the brief but does not send anything. It only shapes who the outreach skills aim at.

Read the full file on GitHub · 31 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. 4d ago First seen · 31 lines · 53 tokens per session scan A 45d595fffb43

Subscribe to this mod's changes

linkedin-icp-definer is a skill published in the GitHub repository styfinity/linkedin-engine (7 stars, last pushed 2mo ago), licensed MIT. It adds 53 tokens to every session and 559 once invoked, about $0.0003 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.

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