Kryptogo Pay Webhook

Organization

paid-tw

kryptogo-pay-webhook

Implements KryptoGO Payment webhook/callback handling for receiving payment status notifications. Use when building webhook endpoints, handling payment callbacks, or implementing 支付狀態通知 for KryptoGO Payment.

Overview

Publisher	paid-tw
Repository	`skills`
Skill name	`kryptogo-pay-webhook`
Stars	284
Forks	19
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by paid-tw on GitHub. Read the source before you install it.

Installation

Install the Kryptogo Pay Webhook AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/paid-tw/skills/tree/main/plugins/kryptogo-pay/skills/kryptogo-pay-webhook
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/paid-tw/skills/tree/main/plugins/kryptogo-pay/skills/kryptogo-pay-webhook

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/paid-tw/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/plugins/kryptogo-pay/skills/kryptogo-pay-webhook .claude/skills/kryptogo-pay-webhook

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kryptogo Pay Webhook in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Kryptogo Pay Webhook on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Kryptogo Pay Webhook is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

KryptoGO Payment Webhook 回調處理任務

你的任務是在用戶的專案中實作 KryptoGO Payment Webhook 回調處理。

串接 Checklist

端點建立 - 建立 POST endpoint 接收回調
狀態處理 - 處理所有 5 種支付狀態
冪等處理 - 實作冪等性避免重複處理
回應確認 - 回應 HTTP 200 確認收到
測試驗證 - 驗證端點可正常運作

Step 1: 確認環境

詢問用戶：

框架類型：你使用什麼後端框架？
- Node.js (Express / Fastify / NestJS)
- Python (Django / Flask / FastAPI)
- 其他
資料庫：使用什麼資料庫儲存訂單？
- 需要知道如何更新訂單狀態

用戶輸入: $ARGUMENTS

Step 2: 建立 Webhook 端點

建立 POST 端點接收 KryptoGO 的回調通知。

端點路徑建議: /api/payment/callback 或 /webhook/kryptogo

必要行為:

接收 POST JSON body
驗證 payment_intent_id 存在於資料庫
根據 status 更新訂單狀態
回應 HTTP 200

Step 3: 處理所有支付狀態

必須處理以下 5 種狀態：

狀態	處理邏輯
`pending`	通常不會收到此狀態的回調
`success`	更新訂單為已付款，記錄 `payment_tx_hash`
`expired`	標記訂單為過期
`insufficient_not_refunded`	記錄異常，等待退款
`insufficient_refunded`	記錄退款資訊 `refund_tx_hash`、`refund_amount`

Step 4: 實作冪等性

確保同一個 payment_intent_id 的回調不會被重複處理：

檢查訂單是否已經更新為最終狀態
使用 payment_intent_id 作為冪等鍵

Step 5: 測試

建立一個 Payment Intent（帶 callback_url）
完成支付後確認端點收到回調
驗證訂單狀態正確更新
驗證回應 HTTP 200

Callback Payload 格式

json
{
  "payment_intent_id": "0h39QkYfZps7AUD1xQsj3MDFVLIMaGoV",
  "client_id": "9c5a79fc1117310f976b53752659b61d",
  "fiat_amount": "300.0",
  "fiat_currency": "TWD",
  "payment_deadline": 1715462400,
  "status": "success",
  "payment_chain_id": "arb",
  "symbol": "USDT",
  "crypto_amount": "2.53",
  "payment_tx_hash": "0x1234567890abcdef...",
  "received_crypto_amount": "2.53",
  "aggregated_crypto_amount": "2.50",
  "order_data": {
    "order_id": "uid_12345",
    "item_id": "100"
  },
  "callback_url": "https://example.com/callback",
  "group_key": "buy_stone_with_usdt"
}

重要欄位

欄位	說明
`payment_intent_id`	用來比對你資料庫中的訂單
`status`	判斷該做什麼處理
`payment_tx_hash`	成功時的區塊鏈交易 Hash
`received_crypto_amount`	實際收到的加密貨幣金額
`aggregated_crypto_amount`	扣除手續費後的金額
`refund_tx_hash`	退款時的區塊鏈交易 Hash
`refund_amount`	退款金額
`order_data`	你建立 Payment Intent 時傳入的自訂資料

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Kryptogo Pay Webhook AI skill do?

Why use Kryptogo Pay Webhook on TypingMind?

Because you install it once and use it with any model. Kryptogo Pay Webhook is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Kryptogo Pay Webhook in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/paid-tw/skills/tree/main/plugins/kryptogo-pay/skills/kryptogo-pay-webhook. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Kryptogo Pay Webhook?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Kryptogo Pay Webhook?

As many as you like. As long as a model supports skills, you can use Kryptogo Pay Webhook with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Kryptogo Pay Webhook AI skill free?

Yes. It is published on GitHub by paid-tw under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

KryptoGO Payment Webhook 回調處理任務

串接 Checklist

Step 1: 確認環境

Step 2: 建立 Webhook 端點

Step 3: 處理所有支付狀態

Step 4: 實作冪等性

Step 5: 測試

Callback Payload 格式

重要欄位

詳細參考文件

Bundled files

Frequently asked questions

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