wechat-webhooks

wechat-webhooks is a skill for Claude Code, Codex from hookdeck/webhook-skills. It costs 75 tokens per session (2,070 once invoked), scanned A, original, MIT.

A guide for receiving WeChat Pay APIv3 notifications and checking that they really came from WeChat Pay. It covers decrypting notification data and handling payment or refund events.

In plain words
What is it for?
Use it to build a WeChat Pay webhook endpoint, verify signed requests, decrypt transaction data, and process successful payments or refunds.
Why use it?
It helps prevent forged or incorrectly processed payment notifications. It also explains common signature-verification and decryption failures.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/hookdeck/webhook-skills/wechat-webhooks.svg)](https://agentmods.dev/skills/hookdeck/webhook-skills/wechat-webhooks)
Your own site
<a href="https://agentmods.dev/skills/hookdeck/webhook-skills/wechat-webhooks"><img src="https://agentmods.dev/badge/skills/hookdeck/webhook-skills/wechat-webhooks.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,070 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 5.1 $0.00075 $0.02070
Opus 5 $0.00037 $0.01035
Sonnet 5 $0.00015 $0.00414
Haiku 4.5 $0.00007 $0.00207

Measured 2d ago against content hash 283827d1086d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

wechat-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 2d ago.

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/wechat-webhooks/SKILL.md · 160 lines

How it starts

The opening of the file, as written. The whole thing — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WeChat Pay Webhooks

When to Use This Skill

  • How do I receive WeChat Pay webhooks (APIv3 notifications)?
  • How do I verify the Wechatpay-Signature header?
  • How do I decrypt the encrypted resource in a WeChat Pay notification?
  • How do I handle TRANSACTION.SUCCESS or REFUND.SUCCESS events?
  • Why is my WeChat Pay signature verification failing?

How WeChat Pay Notifications Work

WeChat Pay APIv3 does not use HMAC or the Standard Webhooks spec. Each notification is:

  1. Asymmetrically signed (SHA256withRSA) — verify with the WeChat Pay platform public key, matched by the Wechatpay-Serial header, over the message "{timestamp}\n{nonce}\n{body}\n".
  2. Separately encrypted — the resource object is AEAD_AES_256_GCM ciphertext. Decrypt resource.ciphertext with your 32-byte APIv3 key to recover the transaction/refund JSON.

The signed body is the raw request bytes (the ciphertext envelope), so verify first, then decrypt. Always use the raw request body — never JSON.parse before verifying.

Verification (core)

const crypto = require('crypto');

// 0. Select the platform public key by Wechatpay-Serial. WeChat publishes new
//    certificates ~24h before signing with them, so an unpinned rotation must
//    fail with its own error, not a generic "invalid signature".
const PLATFORM_KEYS = JSON.parse(process.env.WECHAT_PAY_PLATFORM_KEYS || '{}');

function selectPlatformKey(serial) {
  const key = PLATFORM_KEYS[serial];
  if (!key) {
    throw new Error(
      `No platform key configured for serial ${serial} — ` +
      'fetch the current certs via GET /v3/certificates and add it'
    );
  }
  return key;
}

// 1. Verify the RSA-SHA256 signature over "{timestamp}\n{nonce}\n{body}\n"
function verifySignature(timestamp, nonce, rawBody, signatureB64, platformPublicKey) {
  const message = `${timestamp}\n${nonce}\n${rawBody}\n`;
  const verifier = crypto.createVerify('RSA-SHA256').update(message, 'utf8');
  try {
    return verifier.verify(platformPublicKey, signatureB64, 'base64');
  } catch {
    return false; // malformed key/signature
  }
}

// 2. Decrypt resource.ciphertext (AEAD_AES_256_GCM) with your 32-byte APIv3 key
function decryptResource({ ciphertext, nonce, associated_data }, apiV3Key) {
  const buf = Buffer.from(ciphertext, 'base64');
  const decipher = crypto.createDecipheriv('aes-256-gcm', apiV3Key, nonce);
  decipher.setAuthTag(buf.subarray(buf.length - 16));           // last 16 bytes = auth tag
  if (associated_data) decipher.setAAD(Buffer.from(associated_data));
  const plain = Buffer.concat([decipher.update(buf.subarray(0, -16)), decipher.final()]);
  return JSON.parse(plain.toString('utf8'));
}

Read the full file on GitHub · 160 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. 2d ago First seen · 160 lines · 75 tokens per session scan A 283827d1086d

Subscribe to this mod's changes

wechat-webhooks is a skill published in the GitHub repository hookdeck/webhook-skills (84 stars, last pushed 2d ago), licensed MIT. It adds 75 tokens to every session and 2,070 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.

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