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Mobile App Debugging

Checked
iskenkenya·vlatest·testing·GPL-3.0

Helps with mobile development, debugging as part of testing, debugging, and quality assurance 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 iskenkenya/1panel-client --skill mobile-app-debugging -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

iskenkenya

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 iskenkenya/open1panelapp at 8109f914f7.

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

Commit
8109f914f7
Manifest
.trae/skills/mobile-app-debugging/SKILL.md
Scanned
3 files, 741 lines
Copies in repo
3 — all of them scanned
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 debug mobile applications. It provides tools for identifying and resolving errors in Android and iOS apps, including analyzing crash logs and suggesting code fixes. The agent can also simulate user interactions to reproduce bugs and test solutions.

When to use it

  • Troubleshooting app crashes: When users report unexpected application closures or freezes.
  • Identifying performance bottlenecks: To analyze slow loading times or unresponsive UI elements within a mobile app.
  • Reproducing reported bugs: To recreate user-reported issues and verify fixes.
  • Testing code changes: After implementing new features or bug fixes to ensure stability.

Key capabilities

  • Crash log analysis
  • Code suggestion for error resolution
  • User interaction simulation
  • Android & iOS app debugging support

Example prompts

  • "Analyze this crash log from an Android device and suggest possible causes."
  • "Simulate a user tapping the 'Submit' button on the checkout screen of our iOS app."
  • "I fixed bug XYZ in version 1.2.3, can you test it?"

Tips & gotchas

The agent requires access to relevant application code and crash logs for effective debugging. Ensure sufficient permissions are granted to allow the AI agent to analyze and suggest changes.