Android Apk Pentester

Community

ptn1411

android-apk-pentester

Use when performing authorized Android APK, XAPK, or APKS security testing that needs static analysis, split install handling, rooted emulator setup, mitmproxy interception, Frida hook generation, or emulator/root detection validation.

Overview

Publisher	ptn1411
Repository	`skill`
Skill name	`android-apk-pentester`
Stars	275
Forks	133
Bundled files	9
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
9 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by ptn1411 on GitHub. Read the source before you install it.

Installation

Install the Android Apk Pentester AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ptn1411/skill/tree/main/android-apk-pentester
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ptn1411/skill.git /tmp/skill
mkdir -p .claude/skills
cp -r /tmp/skill/android-apk-pentester .claude/skills/android-apk-pentester

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Android Apk Pentester in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Android Apk Pentester on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Android Apk Pentester is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Android APK Pentester

Purpose

Use this skill for authorized Android application security testing. It supports static APK/XAPK/APKS analysis, split APK installation, rooted emulator setup, traffic interception, and Frida hook generation for lab validation.

Load references/android_pentest_patterns.md when you need detailed detection vectors, certificate injection notes, APK format differences, or native protection signatures.

Workflow

Phase	Script	Purpose
0	`scripts/setup_avd.py`	Start/configure an emulator, enable adb root/remount, push `frida-server`
1	`scripts/analyze_apk.py`	Extract manifest metadata, permissions, DEX strings, native libs, and protection indicators
2	`scripts/install_apk.py`	Install APK, XAPK, split APKs, or bundletool APKS archives
3	`scripts/disguise_emulator.py`	Apply lab emulator property/profile changes and verify common emulator markers
4	`scripts/setup_intercept.py`	Inject mitmproxy CA into system store and configure device proxy
5	`scripts/generate_hooks.py`	Generate Frida scripts for SSL pinning tests, crypto logging, and detection validation

Usage

bash
# Prepare emulator command plan first
python android-apk-pentester/scripts/setup_avd.py --avd Pixel_API_35 --frida-server frida-server --writable-system --dry-run

# Static analysis
python android-apk-pentester/scripts/analyze_apk.py app.apk --out output/apk-analysis
python android-apk-pentester/scripts/analyze_apk.py app.xapk --out output/apk-analysis
python android-apk-pentester/scripts/analyze_apk.py app.apks --out output/apk-analysis

# Install packages
python android-apk-pentester/scripts/install_apk.py app.apk
python android-apk-pentester/scripts/install_apk.py app.xapk
python android-apk-pentester/scripts/install_apk.py app.apks --bundletool bundletool.jar

# Interception and dynamic validation
python android-apk-pentester/scripts/setup_intercept.py --inject-cert --set-proxy
python android-apk-pentester/scripts/generate_hooks.py --target com.example.app --all --out hooks/

Outputs

File	Content
`apk_analysis.json`	Manifest metadata, permissions, components, strings, native libs, findings
`hooks/*.js`	Generated Frida scripts for authorized runtime testing
`hooks/hooks_manifest.json`	Hook selection and run commands
`intercept/`	Optional mitmproxy capture output

Practical Notes

Use setup_avd.py --dry-run before changing an emulator.
Use .apks only with bundletool.jar or BUNDLETOOL_JAR.
Android 7+ apps usually ignore user CAs; use system CA injection in the lab emulator.
Re-run disguise_emulator.py after each cold boot because property changes are RAM-only.
Prefer physical devices for targets that rely on hardware-backed attestation.

Anti-Patterns

Mistake	Fix
Running emulator setup without preview	Use `setup_avd.py --dry-run` first
Treating APKS as a ZIP of directly installable APKs	Use `bundletool install-apks` via `install_apk.py`
Using only a user-installed CA	Inject the CA into the system trust store on a test emulator
Forgetting split APK order	Use XAPK extraction or bundletool instead of manual `adb install`
Assuming every detection vector is bypassable	Hardware attestation and kernel-level checks need a physical device

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
references/android_pentest_patterns.md6 KB
scripts/analyze_apk.py22 KB
scripts/disguise_emulator.py15 KB
scripts/generate_hooks.py31 KB
scripts/install_apk.py8 KB
scripts/setup_avd.py6 KB
scripts/setup_intercept.py13 KB
tests/test_android_apk_pentester.py4 KB

Frequently asked questions

What does the Android Apk Pentester AI skill do?

Why use Android Apk Pentester on TypingMind?

Because you install it once and use it with any model. Android Apk Pentester is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Android Apk Pentester in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ptn1411/skill/tree/main/android-apk-pentester. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Android Apk Pentester?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Android Apk Pentester?

As many as you like. As long as a model supports skills, you can use Android Apk Pentester with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Android Apk Pentester AI skill free?

It is published on GitHub by ptn1411. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Android APK Pentester

Purpose

Workflow

Usage

Outputs

Practical Notes

Anti-Patterns

Bundled files

Frequently asked questions

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