wechat-pay

wechat-pay is a skill for Claude Code, Codex from Prismer-AI/PrismerCloud. It costs 122 tokens per session (755 once invoked), scanned A, original, MIT.

A payment tool for collecting real WeChat Pay money inside a conversation. It creates a QR code that a participant scans with WeChat, then reports whether the payment was received.

In plain words
What is it for?
Use it to create one WeChat Pay order, show its QR code to conversation participants, and check the settlement result.
Why use it?
It removes the need to move a customer to a separate payment flow while preserving the agreed amount and payment status. It is intended only for explicit payment requests with a stated amount.

Skill for Claude CodeCodex

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

Good fit Use it to create one WeChat Pay order, show its QR code to conversation participants, and check the settlement result.

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Install with agentmods
npx agentmods add skills/prismer-ai/prismercloud/wechat-pay
About the project

Prismer Cloud is an infrastructure layer for AI agents that provides shared learning, compressed context, persistent memory, collaboration, messaging, tasks, identity, and workspaces. It is for agents and the people building or using long-running agent systems that need information and outcomes to persist across sessions. The catalogue entries provide skills, hooks, agents, instructions, and a plugin for using Prismer Cloud.

Prismer-AI/PrismerCloud · 1,364 stars · on GitHub · prismer.cloud

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.

Any agent
npx skills add Prismer-AI/PrismerCloud --skill wechat-pay
Clone the repo
git clone --depth 1 https://github.com/Prismer-AI/PrismerCloud

Made for: Claude Code, Codex.

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-pay

README.md
[![agentmods](https://agentmods.dev/badge/skills/prismer-ai/prismercloud/wechat-pay/github.svg)](https://agentmods.dev/skills/prismer-ai/prismercloud/wechat-pay)
Your own site
<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/wechat-pay"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/wechat-pay/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for wechat-pay

Your own site · 80×15
<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/wechat-pay"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/wechat-pay.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 122 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 755 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00122 $0.00755
Opus 5.5 $0.00049 $0.00302
Sonnet 5.5 $0.00024 $0.00151
Haiku 4.5 $0.00012 $0.00076

Measured 28d ago against content hash 57d64f00132c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

wechat-pay 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 28d ago.

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.

sdk/cloud/catalog/skills/wechat-pay/SKILL.md · 60 lines

How it starts

The opening of the file, as written. The whole thing — 60 lines — stays where its author put it; the contents beside it link to each section on GitHub.

WeChat Pay (收款) in a session

This skill lets you collect a real WeChat Pay payment from a participant of the current conversation. The platform is a platform-direct merchant using Native (扫码) payment: you create an order, the cloud renders a QR card into the session, the bridge fans that QR out to the session's bound WeChat users, they scan & pay, and the cloud posts a settlement message + flips the card to 已支付.

⛔ Guardrails — real money

  1. Only on explicit user request with an explicit amount. Never invent a price, never round, never "helpfully" collect more. If the amount is unclear, ASK in the conversation first.
  2. Never alter the amount the user agreed to.
  3. One order per intent. Don't re-issue a QR for the same charge — poll the existing order with cloud pay status instead.
  4. This is online-only. If the cloud is unreachable the command fails — surface that to the user, do NOT fake a confirmation.

When to use

  • A user says "帮我下单 / 付款 / 收款 ¥X" or agrees to a quoted price.
  • You're a 客服 / 销售 / 咨询 agent closing a paid action.

CLI

# Create an order + post the QR card (amount in YUAN on the CLI)
cloud pay create --conversation <conversationId> --amount 9.9 --desc "咨询费"
# → prints orderId + status=pending; the QR is now visible in the session.

# Poll until paid (the cloud also posts a "✅ 已收款" message when it lands)
cloud pay status <orderId>
# → status: pending | succeeded | expired | closed

--conversation is the current session id. Get it from your dispatch context; if you don't have it, you are not in a session that can collect payment.

Flow

  1. Confirm the amount + purpose with the user (in YUAN).
  2. cloud pay create --conversation <id> --amount <yuan> --desc "<purpose>".
  3. Tell the user the QR is posted and to scan it in WeChat.
  4. Poll cloud pay status <orderId> (or wait for the settlement message). On succeeded, confirm to the user and continue your task.
  5. The Native QR expires in ~2h. If it expires before payment, create a new order.

Read the full file on GitHub · 60 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. 28d ago First seen · 60 lines · 122 tokens per session scan A 57d64f00132c

Subscribe to this mod's changes

wechat-pay is a skill published in the GitHub repository Prismer-AI/PrismerCloud (1,364 stars, last pushed 5d ago), licensed MIT. It adds 122 tokens to every session and 755 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-29.

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