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Data Model Creation

Checked
tencentcloudbase·vlatest·database·MIT

Helps with data, data modeling, creation as part of working with databases and data persistence workflows.

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 data-model-creation -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.

Scanned
1 file, 187 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 create and manage data models within Tencent Cloud Base, allowing for the definition of database schemas and table structures. It streamlines the setup phase of applications by automating the translation of logical requirements into executable cloud resources.

When to use it

  • Initializing a new project that requires immediate database schema definitions.
  • Dynamically generating table structures based on evolving application logic.
  • Automating repetitive data model updates across multiple environments.
  • Rapidly prototyping data relationships before committing to full infrastructure deployment.

Key capabilities

  • Creation of new data models within the Tencent Cloud Base environment.
  • Management of database schema definitions and table configurations.
  • Integration with the cloudbase-mcp toolset for resource provisioning.

Example prompts

  • "Create a new data model for an e-commerce product catalog with fields for name, price, and inventory count."
  • "Define a user authentication table including email, password hash, and created timestamp columns."
  • "Set up a relational data model linking orders to customers and products in Tencent Cloud Base."

Tips & gotchas

Ensure your Tencent Cloud Base instance is properly configured and accessible before attempting model creation. Verify that the specific schema constraints align with your application's expected data types to prevent runtime errors later.