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Discover Mobile

Checked
rand·vlatest·frontend·MIT

Automatically identifies mobile website elements and their properties for streamlined testing and automation workflows.

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 rand/cc-polymath --skill discover-mobile -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

rand

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 rand/cc-polymath at baa2df1144.

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

Commit
baa2df1144
Manifest
skills/discover-mobile/SKILL.md
Scanned
1 file, 76 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

The discover-mobile skill enables AI agents to locate and install mobile-specific capabilities within the TrustedSkills registry. It bridges the gap between general agent needs and specialized mobile device functionality, ensuring agents can interact with phone hardware and apps effectively.

When to use it

  • Configure an agent to manage smartphone settings like battery optimization or screen brightness.
  • Enable an agent to launch specific native applications on a user's mobile device.
  • Allow an agent to access mobile sensors such as the camera, microphone, or GPS for field tasks.
  • Deploy mobile-first workflows that require touch interface interactions or location-based services.

Key capabilities

  • Discovery of mobile-oriented skills within the registry ecosystem.
  • Installation and activation of agents capable of handling device-specific commands.
  • Integration with mobile operating system APIs for deeper hardware access.

Example prompts

  • "Install a skill that allows me to take photos using my phone's camera."
  • "Set up an agent to check my current GPS location and send it to a contact."
  • "Discover and enable mobile skills for managing my calendar directly from the device."

Tips & gotchas

Ensure the target AI agent has physical or simulated access to the mobile device, as these skills rely on hardware interaction. Verify that the mobile operating system permissions are granted before expecting sensor or app control to function correctly.