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Pentest Mobile App

Checked
jd-opensource·vlatest·security·Apache-2.0

Automates initial mobile app penetration testing, identifying common vulnerabilities like insecure data storage and weak authentication.

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 jd-opensource/joysafeter --skill pentest-mobile-app -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

jd-opensource

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 jd-opensource/joysafeter at 12234a11a9.

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

Commit
12234a11a9
Manifest
skills/pentest-mobile-app/SKILL.md
Scanned
3 files, 122 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

This skill allows AI agents to perform penetration testing on mobile applications. It can identify vulnerabilities such as insecure data storage, improper session handling, and broken authentication mechanisms. The agent will generate a report detailing identified risks and potential remediation steps for enhanced security posture.

When to use it

  • Before releasing a new version of a mobile app to the public.
  • To assess the security of a third-party mobile application integrated into your system.
  • As part of a regular security audit process for existing mobile applications.
  • When responding to a suspected security breach or vulnerability report related to a mobile app.

Key capabilities

  • Vulnerability identification
  • Report generation
  • Mobile application penetration testing

Example prompts

  • "Perform a pentest on the iOS version of [App Name] and identify any potential vulnerabilities."
  • "Can you analyze the Android APK for [App Name] and report back on insecure data storage practices?"
  • “Run a security assessment against [App Name], focusing on authentication mechanisms.”

Tips & gotchas

The skill's effectiveness depends on providing accurate details about the target mobile application, including platform (iOS or Android) and version. Results should be reviewed by a qualified security professional for proper interpretation and remediation planning.