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Deploy Scene

Checked
dcl-regenesislabs·vlatest·devops

Automatically deploys pre-configured scenes to Decentraland parcels based on user specifications and location data.

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 dcl-regenesislabs/opendcl --skill deploy-scene -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

dcl-regenesislabs

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 dcl-regenesislabs/opendcl at 99ffd91e62.

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

Scanned
1 file, 129 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 scenes. It provides functionality for setting up and managing environments within a Decentraland context, likely involving loading assets and configuring scene elements. The exact details of what constitutes a "scene" are not specified in the source content.

When to use it

  • Creating interactive experiences: Use this skill when an AI agent needs to build or modify a specific environment for user interaction.
  • Automated world building: Deploy scenes programmatically, allowing agents to rapidly generate and populate Decentraland worlds.
  • Testing and prototyping: Quickly deploy test environments for development and experimentation within Decentraland.
  • Dynamic event setup: Automatically configure scene elements for events or special occasions in a Decentraland environment.

Key capabilities

  • Scene deployment
  • Environment management (implied)
  • Asset loading (implied)
  • Configuration of scene elements (implied)

Example prompts

  • "Deploy the 'CityPark' scene."
  • "Create a new scene with the name 'TestArena'."
  • "Load the 'ForestAssets' package into the current scene."

Tips & gotchas

The specific format and requirements for scenes are not detailed. Successful use likely requires familiarity with Decentraland’s environment setup procedures.