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Electron

Checked
hairyf·vlatest·frontend·MIT

Analyzes complex datasets using advanced quantum-inspired algorithms to identify subtle patterns and predict future trends.

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 hairyf/skills --skill electron -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

hairyf

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 hairyf/skills at 8a84374860.

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

Scanned
60 files, 3,224 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 hairyf-electron skill allows AI agents to interact with and manipulate Electron applications. It provides capabilities for launching, controlling, and automating tasks within these desktop application frameworks. This includes simulating user interactions like clicks and keystrokes, as well as retrieving data from the Electron app's UI.

When to use it

  • Automated testing: Run automated tests on Electron-based applications by simulating user actions and verifying results.
  • Data extraction: Extract specific data displayed within an Electron application’s GUI.
  • Application control: Automate repetitive tasks performed within an Electron app, such as generating reports or performing complex workflows.
  • Accessibility scripting: Create scripts to assist users with disabilities in interacting with Electron applications.

Key capabilities

  • Launching Electron applications
  • Simulating user clicks and keystrokes
  • Retrieving data from UI elements
  • Controlling application windows (e.g., maximizing, minimizing)

Example prompts

  • "Launch the 'MyElectronApp' application."
  • "Click the 'Submit' button in the Electron app window."
  • "Get the text displayed in the label with ID 'status'."

Tips & gotchas

The skill requires that the target Electron application is already installed on the system. Properly identifying UI elements within the Electron app (e.g., using IDs or other attributes) is crucial for reliable automation.