Skip to content
TrustedSkillsbeta
Back to all skills

Ai Model Nodejs

Checked
tencentcloudbase·vlatest·backend·MIT

Helps with AI, data modeling as part of developing backend services and APIs 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-nodejs -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-nodejs/SKILL.md
Scanned
3 files, 421 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-nodejs skill enables integration of AI models into Node.js backend applications, allowing developers to leverage machine learning capabilities directly within their server-side code. It provides tools and APIs for deploying, managing, and interacting with AI models in a Node.js environment.

When to use it

  • Building scalable backend services that require real-time AI inference.
  • Integrating pre-trained AI models into existing Node.js applications.
  • Developing microservices that utilize machine learning for data processing or decision-making.

Key capabilities

  • Seamless integration of AI models with Node.js frameworks.
  • Support for deploying and managing AI models on the server side.
  • APIs for interacting with AI models during runtime.

Example prompts

  • "Deploy a pre-trained image classification model in my Node.js backend."
  • "How do I integrate an NLP model into a REST API using this skill?"
  • "Can I use this skill to run AI inference on incoming HTTP requests?"

Tips & gotchas

  • Ensure your Node.js environment meets the required version and dependencies for the AI models you plan to use.
  • Model performance may vary based on hardware resources available on the server.