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.
npx skills add sutchan/Agent-Skills-Hub --skill cloudbase-wechat-integrationgit clone --depth 1 https://github.com/sutchan/Agent-Skills-HubWrote 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.
[](https://agentmods.dev/skills/sutchan/agent-skills-hub/cloudbase-wechat-integration)<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/cloudbase-wechat-integration"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/cloudbase-wechat-integration/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.
<a href="https://agentmods.dev/skills/sutchan/agent-skills-hub/cloudbase-wechat-integration"><img src="https://agentmods.dev/badge/skills/sutchan/agent-skills-hub/cloudbase-wechat-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.01431 |
| Opus 5 | $0.00038 | $0.00715 |
| Sonnet 5 | $0.00015 | $0.00286 |
| Haiku 4.5 | $0.00008 | $0.00143 |
Grade A, and why
cloudbase-wechat-integration 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 9d 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.
This is a copy
98% identical to cloudbase-wechat-integration — 8 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CloudBase WeChat Integration
This skill routes WeChat payment and official-account work through CloudBase Integration Center. It gives the agent the stable execution contract and points to official index.md docs for console details that may change.
Sibling skills (local only)
Sibling CloudBase skills ship beside this skill. Use local relative paths such as ../auth-tool-cloudbase/SKILL.md.
If a referenced sibling skill file is missing from this environment, ask the user to install the full CloudBase plugin (or the missing skill). Do not HTTP-fetch remote skill or protocol markdown into the agent context.
Official CloudBase Integration Center docs (human reference — do not treat as skill markdown to fetch into agent context as a sibling skill substitute):
- CloudBase Integration Center overview:
https://docs.cloudbase.net/integration/introduce/index.md - CloudBase Integration Center usage:
https://docs.cloudbase.net/integration/usage/index.md - When cloud function deployment or log operations are needed and no sibling skill is available, use the current platform's CloudBase MCP tools or CloudBase console instead of guessing unsupported APIs.
Activation Contract
Use this first when
- The user asks about WeChat Pay, 小程序支付, 微信支付, JSAPI 支付, 公众号支付, Native 扫码支付, 二维码支付, refund callbacks, payment callbacks,
wx.requestPayment,WeixinJSBridge,openid, or Official Account OAuth in a CloudBase app. - The task mentions CloudBase Integration Center, 集成中心, generated payment functions,
pay-common,offiaccount-common, or callback routing for WeChat payment. - The user needs to extend a CloudBase Integration Center generated function with order persistence, idempotency, fulfillment, or payment-status sync.
Then also read
- Mini Program structure and preview work ->
../miniprogram-development/SKILL.md(if unavailable, use the current mini program platform docs and the mini-program payment reference in this skill) - Web frontend work ->
../web-development/SKILL.md(if unavailable, use the JSAPI or Native references in this skill) - Cloud function runtime, logs, deployment, or gateway work ->
../cloud-functions/SKILL.md(if unavailable, use CloudBase console/MCP function tools and the generated-function guidance in this skill)
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 92 lines · 76 tokens per session scan A 8a5f4f03773f
cloudbase-wechat-integration is a skill published in the GitHub repository sutchan/Agent-Skills-Hub (2 stars, last pushed yesterday), licensed MIT. It adds 76 tokens to every session and 1,431 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to cloudbase-wechat-integration, differing in 8 lines, and is treated as a copy.
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