whatsapp-webhooks

whatsapp-webhooks is a skill for Claude Code, Codex from hookdeck/webhook-skills. It costs 72 tokens per session (2,222 once invoked), scanned A, original, MIT.

A guide for receiving WhatsApp Business Platform notifications from Meta and checking their signatures. It explains the one-time GET verification step and the signed POST messages used for events.

In plain words
What is it for?
Use it to build a WhatsApp webhook endpoint, complete Meta's verification handshake, verify signed requests, and handle message or status events.
Why use it?
It helps prevent fake messages and setup errors when connecting an application to WhatsApp. It also separates incoming messages from delivery and read-status updates.

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/whatsapp-webhooks
Any agent
npx skills add hookdeck/webhook-skills --skill whatsapp-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 whatsapp-webhooks/plugin install whatsapp-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 whatsapp-webhooks

README.md
[![agentmods](https://agentmods.dev/badge/skills/hookdeck/webhook-skills/whatsapp-webhooks.svg)](https://agentmods.dev/skills/hookdeck/webhook-skills/whatsapp-webhooks)
Your own site
<a href="https://agentmods.dev/skills/hookdeck/webhook-skills/whatsapp-webhooks"><img src="https://agentmods.dev/badge/skills/hookdeck/webhook-skills/whatsapp-webhooks.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 2,222 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 $0.00072 $0.02222
Opus 5 $0.00036 $0.01111
Sonnet 5 $0.00014 $0.00444
Haiku 4.5 $0.00007 $0.00222

Measured yesterday against content hash 8b3e5dce67b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

whatsapp-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/whatsapp-webhooks/SKILL.md · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WhatsApp Webhooks

Receive webhooks from the WhatsApp Business Platform (Cloud API), delivered by Meta's Graph API. WhatsApp webhooks are Meta webhooks: they require a one-time GET verification handshake and sign every POST with X-Hub-Signature-256. They do not follow the Standard Webhooks spec.

When to Use This Skill

  • How do I receive WhatsApp webhooks?
  • How do I complete the WhatsApp / Meta webhook verification handshake (hub.challenge)?
  • How do I verify the WhatsApp X-Hub-Signature-256 signature?
  • Why is my WhatsApp webhook signature verification failing?
  • How do I handle inbound WhatsApp messages vs. message status updates?

Two Things Every Endpoint Must Do

  1. GET handshake — When you register the endpoint, Meta sends a GET with hub.mode=subscribe, hub.verify_token, and hub.challenge. If the mode is subscribe and the token matches your configured verify token, respond 200 with the raw hub.challenge value as the body (no JSON, no quotes).
  2. POST signature check — Every event POST carries X-Hub-Signature-256: sha256=<hex>. Compute HMAC-SHA256 over the raw request body using your app secret and compare timing-safe.

Verification (core)

Compute HMAC-SHA256 over the raw bytes of the request body keyed on your Meta app secret, then compare against the hex digest after sha256=. Use the raw body exactly as received — Meta escapes non-ASCII characters (e.g. é), so re-serializing parsed JSON produces a different, failing digest.

Node:

const crypto = require('crypto');

function verifyWhatsAppSignature(rawBody, signatureHeader, appSecret) {
  const [algo, sig] = (signatureHeader || '').split('=');
  if (algo !== 'sha256' || !sig) return false;
  const expected = crypto.createHmac('sha256', appSecret).update(rawBody).digest('hex');
  try {
    return crypto.timingSafeEqual(Buffer.from(sig, 'hex'), Buffer.from(expected, 'hex'));
  } catch {
    return false; // length mismatch = invalid
  }
}

Read the full file on GitHub · 185 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 · 185 lines · 72 tokens per session scan A 8b3e5dce67b3

Subscribe to this mod's changes

whatsapp-webhooks is a skill published in the GitHub repository hookdeck/webhook-skills (84 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 2,222 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 2026-09-03.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens