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Electron

Official
vercel-labs·vlatest·frontend·Apache-2.0

Electron analyzes unstructured text data to extract key entities, relationships, and insights for rapid understanding.

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 vercel-labs/agent-browser --skill electron --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

vercel-labs

Matched to the vendor's own GitHub organisation.

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 vercel-labs/agent-browser at d01253d9db.

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

Commit
d01253d9db
Manifest
skill-data/electron/SKILL.md
Scanned
1 file, 209 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 electron skill enables AI agents to interact with and control Electron-based applications, allowing them to automate tasks such as launching apps, manipulating UI elements, and handling events within the Electron framework.

When to use it

  • Automating repetitive tasks in desktop applications built with Electron.
  • Testing or debugging Electron-based apps by simulating user interactions.
  • Integrating AI agents into development workflows that involve Electron projects.

Key capabilities

  • Launching and managing Electron applications.
  • Interacting with the UI of Electron apps through automation.
  • Handling events and data within Electron environments.

Example prompts

  • "Launch the Electron app at /path/to/app."
  • "Click the 'Submit' button in the Electron application window."
  • "Capture a screenshot of the current Electron app interface."

Tips & gotchas

  • Ensure that the target Electron app is compatible with automation tools.
  • Some Electron apps may require additional permissions or configurations to allow external control.