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Ai Model Web

Checked
tencentcloudbase·vlatest·ai-ml·MIT

Helps with AI, data modeling, web development 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-web -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-web/SKILL.md
Scanned
2 files, 722 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

ai-model-web

What it does

This skill enables AI agents to discover and install capabilities from the Tencent Cloud Base AI model library. It acts as a bridge, allowing agents to dynamically access specific pre-trained models and tools hosted on Tencent Cloud infrastructure.

When to use it

  • You need to equip an agent with specialized vision or language models available on Tencent Cloud.
  • Your workflow requires dynamic installation of new AI capabilities without manual configuration.
  • You are building applications that leverage the specific ecosystem of Tencent Cloud Base services.
  • You want to streamline the deployment process for complex AI tasks using a standardized skill interface.

Key capabilities

  • Discovery: Browse and identify available AI models within the Tencent Cloud Base catalog.
  • Installation: Programmatically install selected models into the agent's runtime environment.
  • Integration: Connect agents directly to Tencent Cloud's hosted AI infrastructure for inference.

Example prompts

  • "Install the latest image recognition model from the Tencent Cloud Base library."
  • "Discover all available large language models supported by this skill and list their parameters."
  • "Configure my agent to use a specific speech-to-text model found in the cloud base."

Tips & gotchas

Ensure your AI agent has network access to the Tencent Cloud registry to successfully discover and pull models. Verify that the installed models are compatible with your agent's execution environment before running inference tasks.