agentleFS
Sign inStart free
TaiMaBenJiTaiMaBenJi/taima-skills/android-native-auto-reverse/SKILL.md

android-native-auto-reverse

Skill1 starsChanged 47 days agoNo licenceView on GitHub

Unified Android mobile reverse-engineering skill for authorized APK/AAB/XAPK/DEX/JAR/AAR/ELF .so work. Use for static analysis with JADX/apktool/resources, shell/packer recognition with APKiD and apkpackdata rules, Frida/objection runtime Hook, frida-dexdump/BlackDex/FART/youpk dex unpacking, Bangcle/libDexHelper anti-Frida, server-only versus agent-loaded detection triage, clone/pthread detection-thread tracing, Bionic pthread start-routine recovery, and exit_group bypass triage, ART DexFile/mCookie/ClassLoader unpacking strategy, loaded .so dump and repair, Burp Suite/r0capture/request traffic analysis, Frida-to-Python-to-Burp plaintext crypto bridge, OkHttp/Retrofit/WebView/mPaaS RpcInvoker/JsonSerializerV2/API/signature tracing, JADX and IDA/Ghidra Java-native correlation, SO/JNI/RegisterNatives analysis, native crypto/signing, anti-debug/anti-Frida/root/emulator/VPN/proxy checks, and concise evidence reports.

The file

Show its rules and text

We split this skill into the rules it gives an agent

31 rules. About 0 are common, 13 are distinctive, and 18 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈13

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 18

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

Check your setup, free