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Ai Model Wechat

Checked
tencentcloudbase·vlatest·ai-ml·MIT

Helps with AI, data modeling as part of building AI and machine learning applications workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add tencentcloudbase/cloudbase-ai-toolkit --skill ai-model-wechat -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

tencentcloudbase

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned tencentcloudbase/cloudbase-mcp at 6032e5d15f.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6032e5d15f
Manifest
config/source/skills/ai-model-wechat/SKILL.md
Scanned
3 files, 1,242 lines
Copies in repo
3 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to interact with Tencent Cloud's WeChat Mini Program ecosystem, allowing for direct discovery and installation of specific AI capabilities within the WeChat environment. It bridges the gap between autonomous agent logic and the rich application layer of WeChat Mini Programs.

When to use it

  • You need an AI agent to autonomously find and install new AI models directly inside a WeChat Mini Program.
  • Your workflow requires integrating Tencent Cloud's specific AI services without manual user intervention.
  • You are building an agent that operates primarily within the Chinese market's dominant messaging platform.

Key capabilities

  • Discovery of available AI models hosted on Tencent Cloud.
  • Installation and configuration of selected models via WeChat Mini Program interfaces.
  • Direct integration between agent execution context and cloud-based AI resources.

Example prompts

  • "Find the latest image generation model available on Tencent Cloud and install it in my WeChat Mini Program."
  • "Set up a text-to-speech capability for my customer service bot using the Tencent Cloud AI Model library."
  • "Install a natural language processing tool to enhance my existing WeChat application's chat features."

Tips & gotchas

Ensure your AI agent has appropriate permissions and authentication tokens required to access the Tencent Cloud API via WeChat. This skill is specific to the Tencent ecosystem; it cannot be used for installing models on other cloud providers or outside of the WeChat environment.