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Hugging Face Space Deployer

Checked
ghostscientist·vlatest·ai-ml·Apache-2.0

This skill automatically deploys your Hugging Face Spaces to production, simplifying deployment and making your models accessible online.

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 ghostscientist/skills --skill hugging-face-space-deployer -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

ghostscientist

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

    Only contacts known or declared hosts: huggingface.co.

    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.

    Hosts contacted

    huggingface.comodel provider

  • 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 ghostscientist/skills at 775eb2a1c6.

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

Commit
775eb2a1c6
Manifest
skills/hugging-face-space-deployer/SKILL.md
Scanned
17 files, 2,441 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

This skill allows AI agents to deploy applications directly to Hugging Face Spaces. It automates the process of creating and configuring a Space, handling dependencies and ensuring your application is accessible online. The deployed spaces can be used for demos, experimentation, or hosting machine learning models.

When to use it

  • You want to quickly share a demo of a new AI model or tool with others.
  • You need a simple way to host a web application that uses machine learning libraries.
  • You're developing an interactive visualization and want to make it publicly available.
  • You’re creating a prototype for a larger project and need a readily accessible deployment environment.

Key capabilities

  • Space creation
  • Dependency management
  • Automated configuration
  • Deployment automation

Example prompts

  • "Deploy my Gradio app to Hugging Face Spaces."
  • "Create a new Space with Python 3.9 and install the transformers library."
  • “Publish this Streamlit application as a public Hugging Face Space.”

Tips & gotchas

  • Requires an active Hugging Face account and API token for authentication.
  • The deployed Space will inherit default settings from your Hugging Face profile; customize further if needed after deployment.