zzusec/apk-reverse

选用指南

AI 根据 README 整理 · 2026/10/17 08:51:06

使用方式

作为Agent Skill被AI代理加载使用，代理通过读取SKILL.md和按需加载references/中的参考文档来执行任务，也可直接运行scripts/中的脚本（如doctor.py）。

查看 README 依据

# apk-reverse An Agent Skill for Android APK reverse engineering, debloating, ad removal, surgical dex patching, repacking, and runtime/server analysis. It is a **skill**, not a tutorial: it is written to be loaded by an agent (Claude Code, Codex, or any harness that supports the Agent Skills format) while it works, so it is organized for progressive disclosure — a short decision-oriented `SKILL.md`, detailed references loaded only when a step needs them, and parameterized scripts you can run directly. ## How an agent is expected to consume this

index that has to be read to find it. Treat the split's economy as `unknown` -- nothing here has measured it -- and treat the body budget as `observed`. The second is the one that compounds on every task, which is why it is the one gated. If you are an agent reading this: the cheapest possible first command is `python skills/apk-reverse/scripts/doctor.py`. It tells you which of these tools exist here, which scripts can actually run, and whether something in the environment is already poisoning your measurements. ## What it is good at

部署要求

需要Python 3.9或更高版本，并面向Android平台。

查看 README 依据

<a href="https://github.com/newliver666/apk-reverse/network/members"><img src="https://img.shields.io/github/forks/newliver666/apk-reverse?style=flat-square&label=forks&color=49454F" alt="forks"></a> <a href="LICENSE"><img src="https://img.shields.io/github/license/newliver666/apk-reverse?style=flat-square&color=49454F" alt="license"></a> <img src="https://img.shields.io/badge/python-3.9%2B-49454F?style=flat-square&logo=python&logoColor=white" alt="python"> <img src="https://img.shields.io/badge/platform-android-49454F?style=flat-square&logo=android&logoColor=white" alt="android">

已知限制

作者明确说明，SKILL.md的上下文节省效果未完全测量，引用加载的实际成本未知；且该技能不是教程，而是供代理执行的程序化流程。

查看 README 依据

# apk-reverse An Agent Skill for Android APK reverse engineering, debloating, ad removal, surgical dex patching, repacking, and runtime/server analysis. It is a **skill**, not a tutorial: it is written to be loaded by an agent (Claude Code, Codex, or any harness that supports the Agent Skills format) while it works, so it is organized for progressive disclosure — a short decision-oriented `SKILL.md`, detailed references loaded only when a step needs them, and parameterized scripts you can run directly. ## How an agent is expected to consume this

usually described as "cheaper context", and only half of it has been measured here: the always-loaded body has a measured size and a gate that fails when it grows (`check_budget.py`). The other half has not — how many references a real question pulls in, and whether fetching them one at a time ends up costing more than the alternative would have. A question that needs four references is not obviously cheaper than one longer file would have been, and every reference also carries its own entry in the