ai-model-wechat skillA
ai-model-wechat is agent-read markdown (skill) from tencentcloudbase/cloudbase-ai-toolkit: Use this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent, onFinish); streamText needs a data wrapper, generateText returns the raw response. Models via wx.cloud.extend.AI.createModel with groups hunyuan-exp (小程序成长计划), cloudbase (main managed), or custom-*; model id goes in the data wrapper `model` field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
## 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. ## When to use this skill Use this skill for **calling AI models in WeChat Mini Program** using `wx.cloud.extend.AI`. **Use it when you need to:** - Integrate AI text generation in a Mini Program - Stream AI responses with callback support - Call Hunyuan models from the WeChat environment **Do NOT use for:** - Browser/Web apps → use `ai-model-web` skill - Node.js backend or cloud functions → use `ai-model-nodejs` skill - Image generation → use `ai-model-nodejs` skill (not available in Mini Program) - Runtimes without a CloudBase SDK (native apps, Python, etc.) → use `http-api-cloudbase` skill (it now includes the `ai_model` OpenAPI spec for direct HTTP calls) --- ## ⛔ STOP — `wx.cloud.extend.AI.createModel(provider)` argument is **not** a vendor / model name …
Read the whole file at its exact version.
How to install
mdr add tencentcloudbase/cloudbase-ai-toolkit/ai-model-wechat@v2.34.5mdr add tencentcloudbase/cloudbase-ai-toolkit/ai-model-wechat@sha256:77c2fc2f59aa40a1Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_s3jmtt646emeydec)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.34.5 latest | 2026-09-20 | 8649887 | 26,029 B | A | view · diff |
| v2.34.4 | 2026-09-20 | bc53199 | 26,029 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (26029 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
tencentcloudbase/cloudbase-ai-toolkit · 1,123 stars · license MIT · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_s3jmtt646emeydec GET https://markdownregistry.com/api/v1/resolve?ref=tencentcloudbase/cloudbase-ai-toolkit/ai-model-wechat GET https://markdownregistry.com/api/v1/blob/77c2fc2f59aa40a1d585c7f56c553ae3062ed489aa2d67b041f97c4b2ab2855a
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