linkedin-webhooks

linkedin-webhooks is a skill for Claude Code, Codex from hookdeck/webhook-skills. It costs 60 tokens per session (1,857 once invoked), scanned A, original, MIT.

A guide to receiving LinkedIn's automatic HTTP notifications and checking that they really came from LinkedIn. It covers endpoint checks and lead or community-management events.

In plain words
What is it for?
Use it to build a LinkedIn webhook handler, verify requests, and process lead-sync or organization-social-action notifications.
Why use it?
It helps prevent forged requests and avoids common mistakes when LinkedIn checks or signs your endpoint.

Skill for Claude CodeCodex

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/hookdeck/webhook-skills/linkedin-webhooks
Any agent
npx skills add hookdeck/webhook-skills --skill linkedin-webhooks
Clone the repo
git clone --depth 1 https://github.com/hookdeck/webhook-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin linkedin-webhooks/plugin install linkedin-webhooks after adding the marketplace above.

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-webhooks

README.md
[![agentmods](https://agentmods.dev/badge/skills/hookdeck/webhook-skills/linkedin-webhooks.svg)](https://agentmods.dev/skills/hookdeck/webhook-skills/linkedin-webhooks)
Your own site
<a href="https://agentmods.dev/skills/hookdeck/webhook-skills/linkedin-webhooks"><img src="https://agentmods.dev/badge/skills/hookdeck/webhook-skills/linkedin-webhooks.svg" alt="Measured on agentmods" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,857 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 $0.00060 $0.01857
Opus 5 $0.00030 $0.00928
Sonnet 5 $0.00012 $0.00371
Haiku 4.5 $0.00006 $0.00186

Measured yesterday against content hash 9931c89fc11a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

linkedin-webhooks 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 yesterday.

The scan reads SKILL.md. This mod also ships 7 executable files (examples/express/src/index.js, examples/express/test/webhook.test.js, examples/fastapi/main.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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-webhooks/SKILL.md · 152 lines

How it starts

The opening of the file, as written. The whole thing — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.

LinkedIn Webhooks

When to Use This Skill

  • How do I receive LinkedIn webhooks?
  • How do I pass the LinkedIn challengeCode endpoint validation?
  • How do I verify the LinkedIn X-LI-Signature header?
  • Why is my LinkedIn webhook signature verification failing?
  • How do I handle LinkedIn LEAD_ACTION or ORGANIZATION_SOCIAL_ACTION_NOTIFICATIONS events?

LinkedIn webhooks are two endpoints on one URL:

  1. GET — endpoint validation. LinkedIn sends ?challengeCode=<uuid> and you echo back a JSON challengeResponse. Re-run every 2 hours; 3 consecutive failures block the endpoint.
  2. POST — event delivery. Each request carries an X-LI-Signature header you must verify.

Both use HMAC-SHA256 keyed with your app's clientSecret, hex-encoded. LinkedIn does not follow the Standard Webhooks spec, and there is no linkedin-api-client SDK method for webhook verification — verify manually.

Verification (core)

Two HMACs, both keyed with clientSecret, both lowercase hex. The message differs:

  • Challenge (GET): message = challengeCode (the raw UUID).
  • Signature (POST): message = the literal string "hmacsha256=" prepended to the raw JSON body. The hmacsha256= prefix lives only in the string-to-sign; the X-LI-Signature header value is the bare hex digest.

Node:

const crypto = require('crypto');

// GET endpoint validation — respond 200 with {challengeCode, challengeResponse} within 3s
function challengeResponse(challengeCode, clientSecret) {
  return crypto.createHmac('sha256', clientSecret).update(challengeCode).digest('hex');
}

// POST signature verification — pass the RAW body, compare timing-safe
function verify(rawBody, signatureHeader, clientSecret) {
  const stringToSign = 'hmacsha256=' + rawBody; // prefix is only in the string-to-sign
  const expected = crypto.createHmac('sha256', clientSecret).update(stringToSign).digest('hex');
  try {
    return crypto.timingSafeEqual(Buffer.from(signatureHeader || '', 'hex'), Buffer.from(expected, 'hex'));
  } catch {
    return false;
  }
}

Read the full file on GitHub · 152 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. yesterday First seen · 152 lines · 60 tokens per session scan A 9931c89fc11a

Subscribe to this mod's changes

linkedin-webhooks is a skill published in the GitHub repository hookdeck/webhook-skills (84 stars, last pushed yesterday), licensed MIT. It adds 60 tokens to every session and 1,857 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 2026-09-03.

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