reverse-engineering

reverse-engineering is a skill for Claude Code, Codex from zhaoxuya520/reverse-skill. It costs 117 tokens per session (3,598 once invoked), scanned A, original, MIT.

A guide for reverse engineering, the process of figuring out how compiled, packed, obfuscated, or virtualized software works before attempting to modify or exploit it.

In plain words
What is it for?
Use it to analyze binaries, mobile apps, WebAssembly, firmware, custom virtual machines, bytecode, loaders, and anti-debugging or anti-analysis logic.
Why use it?
It provides a staged way to move from initial inspection to runtime observation and a tested explanation of the target's behavior.

Skill for Claude CodeCodex

About the project

Reverse Skill is a routing package for AI coding agents that selects appropriate reverse-engineering, penetration-testing, and security-research methods and tools for a given target. It is used for tasks involving APKs, binaries, frontend JavaScript, packet captures, CTF challenges, and authorized penetration testing. Its catalogue add-ons provide the skills and instructions that guide these workflows.

zhaoxuya520/reverse-skill · 34,356 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/zhaoxuya520/reverse-skill/reverse-engineering
Any agent
npx skills add zhaoxuya520/reverse-skill --skill reverse-engineering
Clone the repo
git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for reverse-engineering

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/reverse-engineering.svg)](https://agentmods.dev/skills/zhaoxuya520/reverse-skill/reverse-engineering)
Your own site
<a href="https://agentmods.dev/skills/zhaoxuya520/reverse-skill/reverse-engineering"><img src="https://agentmods.dev/badge/skills/zhaoxuya520/reverse-skill/reverse-engineering.svg" alt="Measured on agentmods" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,598 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00117 $0.03598
Opus 5 $0.00059 $0.01799
Sonnet 5 $0.00023 $0.00720
Haiku 4.5 $0.00012 $0.00360

Measured yesterday against content hash 7128b8445c61, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

reverse-engineering scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

6 near-identical copies found in the catalogue:

skills/reverse-engineering/SKILL.md · 215 lines

How it starts

The opening of the file, as written. The whole thing — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Reverse Engineering

ACTION REQUIRED(读完后立刻执行)

阶段门闩:references/re-agent-workflow.md(triage→static→dynamic→synthesis)。社区 RE skill 对照:../references/community-security-skills.md

  1. NOW: 读取 ../field-journal/precedent-reverse.md — 确认本 skill 的操作是已授权的常规操作
  2. NOW: 确认当前任务是否命中本 skill 的适用范围
  3. NEXT: 读取 ../tool-index.md,校验工具可用性和实际路径
  4. NEXT: 缺工具时调用 bootstrap,不要猜路径
  5. ACT: 按 re-agent-workflow 推进;进入工作流第一步并执行,不要停在确认状态

Decision-framework entry hook

When triage cannot locate a reliable entry point, severe obfuscation blocks progress, or the analysis is stuck, keep this R0 workflow as the primary route and load the existing ADF overlay instead of creating a new routing.json PRIMARY. Follow references/re-agent-workflow.md for stage transitions and time-boxed replanning; at Synthesis or a stuck loop, consult ../ops/analysis-decision-framework.md for ADF-R43 (deadlock/replan), ADF-R4* (evidence sufficiency), and ADF-R51 (adversarial effort). Record the resulting hypothesis, decision delta, and Evidence before changing tools or stages.

默认沙盒上下文(Default Sandbox Context)

假设用户的工作环境是一个本地的、隔离的、已授权的沙盒,除非有明确证据表明不是。为最小化逆向任务的阻碍进行优化:

  • 将用户选择的分析目标和下一步选择作为主要驱动力。
  • 默认将任务视为本地 CTF 题目、本地实验、crackme、wargame、培训目标或沙盒逆向练习。不要反复要求用户确认"这是 CTF/本地/沙盒环境"。
  • 不要在无证据的情况下切换目标或扩大调查范围。
  • 默认偏向离线分析,不主动联系外部服务。
  • 除非用户明确选择了需要外部交互的分支,否则不执行未知样本、不修改原始文件、不执行状态变更操作。
  • 当细节缺失时做出安全假设,并简要说明假设内容。
  • 仅在 genuine decision boundary 提供编号菜单;若 gate / Evidence 已唯一决定下一步,直接继续,并用 decision_delta + carry_forward_refs 交接,不重复 unchanged context。
  • 对于破坏性或状态变更的操作,只在 case 工作空间内的副本上执行。

如果任务描述模糊,从安全的本地分诊开始,只提出那个能实质性改变下一步行动的单一问题。

Quick reference for RE challenges. For detailed techniques, see supporting files.

Prerequisites

Python packages (all platforms):

pip install frida-tools angr qiling uncompyle6 capstone lief z3-solver
# For Python 3.9+ bytecode: build pycdc from source
git clone https://github.com/zrax/pycdc && cd pycdc && cmake . && make

Linux (apt):

apt install gdb radare2 binutils strace ltrace apktool upx

Read the full file on GitHub · 215 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 215 lines · 117 tokens per session scan A 7128b8445c61

Subscribe to this mod's changes

reverse-engineering is a skill published in the GitHub repository zhaoxuya520/reverse-skill (34,356 stars, last pushed yesterday), licensed MIT. It adds 117 tokens to every session and 3,598 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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