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Dev Desktop Sandbox

Checked
coder·vlatest·security·AGPL-3.0

This skill creates a safe, isolated development environment (sandbox) for testing code changes without affecting your main system, boosting productivity and reducing risks.

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 coder/xum --skill dev-desktop-sandbox --full-depth -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

coder

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 coder/mux at 54082e00e3.

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

Commit
54082e00e3
Manifest
.xum/skills/dev-desktop-sandbox/SKILL.md
Scanned
1 file, 117 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 dev-desktop-sandbox skill provides a contained environment where AI agents can execute desktop applications and scripts. This allows agents to interact with software beyond standard web interfaces, enabling them to perform tasks like automating workflows or testing application functionality. The sandbox ensures that these actions are isolated from the host system for safety and stability.

When to use it

  • Automating repetitive desktop tasks: An agent can automate data entry into a legacy desktop application without manual intervention.
  • Testing software applications: Agents can be used to execute test scripts against desktop applications, simulating user interactions.
  • Interacting with specialized software: Enables agents to work with tools that lack web-based APIs, such as image editing or CAD programs.
  • Simulating user workflows: Agents can mimic complex user actions within a desktop environment for training or analysis purposes.

Key capabilities

  • Execution of desktop applications
  • Script execution within the sandbox
  • Isolated operating environment
  • Automation of desktop workflows

Example prompts

  • "Run my_script.py in the desktop sandbox."
  • "Open and interact with Microsoft Excel, then calculate the sum of column A."
  • "Launch Adobe Photoshop and apply a Gaussian blur to this image."

Tips & gotchas

  • The skill requires appropriate permissions to access and execute applications within the host operating system.
  • Be mindful of resource limitations within the sandbox environment; complex tasks may require more processing power or memory.