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Deploying To Globe

Checked
invertase·vlatest·devops

This skill instantly deploys your application globally across multiple cloud providers, streamlining deployment and maximizing reach.

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 invertase/globe-agent-skills --skill deploying-to-globe -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

invertase

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 invertase/agent-skills at 6f614fec5c.

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

Scanned
60 files, 8,812 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 enables automated deployment of assets to Globe, a platform for creating interactive 3D experiences. It handles uploading models, textures, and other resources directly from your agent's workflow. The skill streamlines the process of updating and managing content within Globe projects, reducing manual effort and accelerating iteration cycles.

When to use it

  • You need to regularly update 3D models or textures in a Globe project.
  • Your AI agent is responsible for generating new assets that should be automatically deployed.
  • You want to automate the process of publishing changes to your Globe environment, eliminating manual steps.
  • You are building an automated pipeline for creating and deploying interactive 3D experiences.

Key capabilities

  • Asset uploading to Globe
  • Support for various asset types (models, textures)
  • Automated deployment workflows
  • Integration with agent processes

Example prompts

  • "Deploy the new 'city_model.glb' file to my Globe project."
  • "Update the texture 'brick_wall.png' in my Globe scene."
  • “Publish all changes from my local directory to the ‘production’ environment on Globe.”

Tips & gotchas

  • Ensure your AI agent has appropriate credentials and permissions configured within your Globe account for successful deployment.
  • The skill may require specific file formats or configurations depending on your Globe project setup.