ai-model-wechat SKILL.md skillA
ai-model-wechat from tencentcloudbase/cloudbase-ai-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add tencentcloudbase/cloudbase-ai-toolkit/ai-model-wechat@v2.36.2Pins v2.36.2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- tencentcloudbase/cloudbase-ai-toolkit
- Path
connectors/cloudbase/skills/references/ai-model-wechat/SKILL.md- Versions recorded
- 2
- Latest version
- v2.36.2, committed Oct 28, 2026
- First version recorded
- Oct 28, 2026
- Size
- 27,409 bytes
- Repository stars
- 1,163
- License
- MIT
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 cloudbase (main managed, also 小程序成长计划 with `hy3`), the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model id goes in the data wrapper `model` field. MUST run two-step preflight before code — see body. NOT…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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@sha256:f80d86fc4c6971b0The line at the top of this page pins the label v2.36.2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_g4c2xf5z7jg5usxj)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, all committed on Oct 28, 2026.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.36.2 latest | 2026-10-28 | 805010a | 27,409 B | A | view · diff |
| v2.36.1 | 2026-10-28 | d82ffdd | 27,409 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 (27409 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 · 1,163 stars · license MIT · pushed 2026-11-08 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_g4c2xf5z7jg5usxj GET https://markdownregistry.com/api/v1/resolve?ref=tencentcloudbase/cloudbase-ai-toolkit/ai-model-wechat GET https://markdownregistry.com/api/v1/blob/f80d86fc4c6971b0ce3ec38e48b06c8f0dbc9309ff0e56be94687b7dfb34be81
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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