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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/skills --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/skills at 6e7aeb73c1.

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

Commit
6e7aeb73c1
Manifest
skills/ai-model-wechat/SKILL.md
Scanned
1 file, 414 lines
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

The ai-model-wechat skill enables AI agents to interact with WeChat, allowing them to send and receive messages, manage user interactions, and perform tasks within the WeChat ecosystem. It is designed to integrate AI capabilities into WeChat-based applications or services.

When to use it

  • Automating customer support responses in a WeChat chatbot.
  • Sending personalized notifications or updates to users via WeChat.
  • Integrating AI-driven features like intent recognition or sentiment analysis within WeChat conversations.

Key capabilities

  • Message sending and receiving through WeChat API.
  • User interaction management.
  • Integration with WeChat ecosystem for enhanced functionality.

Example prompts

  • "Send a welcome message to new users in the WeChat group."
  • "Analyze user messages in WeChat for sentiment and respond accordingly."
  • "Automate order confirmation notifications via WeChat."

Tips & gotchas

  • Ensure proper authentication and API access credentials are configured.
  • Be mindful of WeChat's rate limits and message policies to avoid disruptions.