wechatpay-payscore

Integrates WeChat Pay Score onboarding, authentication, and CURD workflows for developers and non-developers alike.

323|23|Updated Mar 23, 2026
One-click install
npx skills add https://github.com/wechatpay-apiv3/wechatpay-skills --skill wechatpay-payscore
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wechatpay-payscore
Source: https://github.com/wechatpay-apiv3/wechatpay-skills/tree/main/wechatpay-payscore
Command: npx skills add https://github.com/wechatpay-apiv3/wechatpay-skills --skill wechatpay-payscore

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you integrate WeChat Pay Score end-to-end by guiding product selection, producing official-structure API examples, and providing fast reference docs for business rules, quality checks, and troubleshooting.

Core Features & Use Cases

  • Product selection for merchant/service-provider models: Choose the correct access mode and sub-order mode (先免/先享) for your business scenario, including key preconditions like service_id and notification setup.
  • Official-structured example guidance (Java/Go): Retrieve example paths and parameters for creating, querying, canceling, completing, modifying, syncing, refunding, and handling three callback types (user confirm / user paid / refund result).
  • Business knowledge & operational readiness: Explain critical fields and constraints such as risk_fund rules, complete amount formula, required IDs, state transitions, and routing rules; then help you assess readiness for上线.
  • Quality assessment &排障 workflow: Provide a structured quality radar and an error-code-first troubleshooting process (错误码 TOP 20 + common issues), then recommend running the quality assessment.

Quick Start

Use the wechatpay-payscore skill when you need to integrate “微信支付分” by asking: “WeChat Pay Score integration: explain required preconditions, and give me the correct API examples and callback handling steps for merchant mode in Java.”

Frequently Asked Questions about wechatpay-payscore

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate WeChat Pay Score API for merchant mode with correct callback handling?

WeChat Pay Score API integration for merchant mode requires upfront access-mode confirmation, stepwise data collection, and deterministic retrieval of official API examples to handle create, query, cancel, and three callback types safely.

What are the required preconditions for WeChat Pay Score service provider access?

WeChat Pay Score service provider access requires setting up a valid service_id, configuring notification endpoints, and selecting the correct sub-order mode (先免/先享) before retrieving official-structure API examples for order processing and refunds.

Why is my WeChat Pay Score refund failing and how do I troubleshoot error codes?

WeChat Pay Score refund troubleshooting uses an error-code-first process analyzing the TOP 20 codes and common issues, directing you to quality assessment checks after resolving the specific error state transition or routing problem.

How do WeChat Pay Score callbacks work and how should I route user confirm and refund results?

WeChat Pay Score callbacks involve three types: user confirm, user paid, and refund result. Correct callback routing depends on your confirmed access mode, specific identifiers, and the official API example structure for each event.

Can I use Java or Go examples to create and complete WeChat Pay Score orders?

Yes, WeChat Pay Score integration provides official-structured example guidance in both Java and Go for creating, querying, completing, modifying, syncing, and refunding orders, including specific parameters and risk_fund rules for each operation.

What is the WeChat Pay Score quality assessment radar and when should I run it?

The WeChat Pay Score quality assessment radar is a structured readiness check for operational constraints like risk_fund rules and complete amount formulas. You should run it after completing error-code troubleshooting and before going live.