Build WeChat Mini Program AI Calls
WeChat Mini Program AI setup has provider, billing, and streaming differences that are easy to misconfigure. This skill guides Claude, Codex, or Claude Code through CloudBase preflight checks and wx.cloud.extend.AI usage.
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "ai-model-wechat" from https://skillstore.io/skills/tencentcloudbase-ai-model-wechat.md and its manifest at https://skillstore.io/api/skills/tencentcloudbase-ai-model-wechat/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Using "ai-model-wechat". I want default AI text generation in a WeChat Mini Program.
Expected outcome:
The skill returns a setup sequence: confirm environment access, check Growth Plan or Token Credits eligibility, verify model readiness, then add the generateText call.
Using "ai-model-wechat". My streamText call returns parameter errors.
Expected outcome:
The skill identifies the Mini Program parameter wrapper difference and reviews callback handling, completion events, and model group readiness.
Using "ai-model-wechat". I need to use a private model endpoint.
Expected outcome:
The skill outlines console or Cloud API onboarding, recommends a custom group name, and keeps API keys out of Mini Program code.
Static analysis reported shell execution, hardcoded URLs, and system reconnaissance patterns. Manual review found documentation text, markdown code examples, CloudBase setup links, and model identifiers only; no prompt injection, credential exfiltration, or hidden execution evidence was found.
Share the versioned assessment report, neutral badge, embed card, and citations. Skillstore reports evidence without deciding whether this Skill is safe.
https://skillstore.io/skills/tencentcloudbase-ai-model-wechat/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/tencentcloudbase-ai-model-wechat?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/tencentcloudbase-ai-model-wechat?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/tencentcloudbase-ai-model-wechat/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/tencentcloudbase-ai-model-wechat.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>tencentcloudbase. (2026). ai-model-wechat security audit report (audit version 2) [Author version 2.23.8]. Skillstore. https://skillstore.io/skills/tencentcloudbase-ai-model-wechat/audits/2@techreport{tencentcloudbase-tencentcloudbase-ai-model-wechat-2026,
author = {tencentcloudbase},
title = {ai-model-wechat security audit report (audit version 2)},
institution = {Skillstore},
year = {2026},
number = {2},
url = {https://skillstore.io/skills/tencentcloudbase-ai-model-wechat/audits/2},
note = {Author version 2.23.8}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "ai-model-wechat security audit report (audit version 2)"
version: "2.23.8"
type: report
authors:
- name: "tencentcloudbase"
date-released: "2026-07-09"
url: "https://skillstore.io/skills/tencentcloudbase-ai-model-wechat/audits/2"
identifiers:
- type: other
value: "skillstore:tencentcloudbase-ai-model-wechat:audit:2"
description: "Skillstore immutable audit report identifier"
Use the skill to plan CloudBase AI setup and add text generation with the correct WeChat Mini Program API shape.
Use the preflight guidance to confirm billing eligibility, model group readiness, and enabled model choices before release.
Use the custom onboarding flow when a managed CloudBase catalog model does not meet project requirements.
I am adding AI text generation to a WeChat Mini Program. Check the required CloudBase setup steps before writing code.
Help me add a streaming chat response in a WeChat Mini Program using wx.cloud.extend.AI and callbacks.
Guide me through checking whether a CloudBase managed model is enabled, including pricing and readiness considerations.
I need to use a third-party or self-hosted model endpoint. Plan the custom CloudBase model group setup and Mini Program integration.
Author
tencentcloudbaseLicense
MIT
Author version
v2.23.8
Skillstore revision
r1
Ref
24b2fe42a456262f3fd0fb3df72e12d9ed2c32ec
Maintenance freshness
7/18/2026
Usage
1 downloads · 0 views
File structure
📄 SKILL.md
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