隐私与广告选择
Git-Stars 会使用必要存储来保障网站运行。可选分析和广告测量脚本默认不加载，只有在你同意后，Google 等合作伙伴才可能按要求使用 Cookie 或类似标识符。 隐私政策
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
这个仓库详情页已经具备足够的原创分析、来源证据和同类对比，可以作为 Git-Stars 的可索引评测页。
100
评测分
解决的问题
AI agents often lack domain knowledge about which reverse engineering or pentesting tool to use for a given task, leading to guesswork and repeated mistakes. This framework solves that by providing a structured routing system that maps task types (APK, ELF, JS, PCAP, CTF) to proven playbooks, automatically checks available tools, and bootstraps missing toolchains on demand. It also captures and reuses experience through a self-evolving knowledge base, preventing the same errors from recurring.
部署现实
当前可用的安装信号是：git clone https://github.com/zhaoxuya520/reverse-skill.git。这只能作为起点，正式使用前建议让 Codex 或 Claude 检查 README、环境变量、运行时版本和部署目标。
商业可用性
当前记录的许可证是 MIT。这是重要的商业使用信号，但仍应核验许可证全文、依赖许可证、模型/API 条款和商标限制。
能力上限
Developers can build AI-assisted security analysis workflows that handle APK/Android reverse engineering, iOS/mobile analysis, frontend JS encryption cracking, binary analysis (ELF/PE), PCAP analysis, and CTF challenges. The ceiling is high: with the routing and toolchain bootstrapping, an AI agent can autonomously execute complex multi-step security assessments, generate evidence-based reports, and maintain a field journal of findings. Real-world use cases include automated malware analysis, vulnerability research, authorized penetration testing, and security education.
Git-Stars 是独立产品，不隶属于 GitHub 或该项目。 分析可能由 AI 辅助生成，依据公开仓库元数据和 README 的短摘要。 我们不镜像完整 README、文档、Issue 或社媒评论。
zhaoxuya520/reverse-skill 被追踪为 PowerShell 项目，主要属于 Developer Tool 方向。这个评估结合公开 GitHub 元数据、分类信号、短来源摘要和 Git-Stars 编辑规则，而不是复制项目文档。
增长检查：该仓库目前有 25k Star，今日 +0，本周 +0，本月 +17k。这些窗口用于区分持续采用信号和短期曝光峰值。
维护检查：当前活跃度为 一般；最近一次推送距今 60 天，未关闭 Issue 为 18，约占总 Star 的 0.07%。这只是采用信号，不替代工程尽调。
采用检查：3.5k Fork 和 25k Watcher 反映项目被复用和关注的程度。许可证信号：MIT。商业或内部使用前请核验许可证兼容性。
适用判断：当你需要「PowerShell 技术栈团队评估生态原生工具」时，这个项目更值得评估；如果「需要法律审查、安全审计或生产 SLA 保证」，则需要谨慎。
来源检查：Git-Stars 当前为这份报告保留了 2 个明确来源引用，近期增长信号为 17k。最终安装、安全和版本信息仍应以原始 GitHub 仓库为准。
原创分析
充分已经具备问题、能力和结论层面的原创判断。
来源
充分已附带仓库元数据和 README/来源引用。
许可证
充分已记录 MIT，可作为评估依据。
维护
充分仓库元数据中可以看到近期活跃信号。
同类对比
充分已有足够相近项目用于对比。
热度
25k 星标
复用
3.5k 复刻
关注
25k 关注者
维护
moderate
许可证
MIT
未解决 Issue
18
reverse-skill is a cybersecurity skills router package that guides AI agents (like Claude Code, Codex CLI, Cursor) through reverse engineering and penetration testing tasks. It provides a structured methodology, tool detection, and repeatable workflows for analyzing APKs, binaries, JavaScript encryption, CTF challenges, and more.
核心特性
- Routes tasks to appropriate methodologies (APK, binary, JS, CTF, etc.) - Checks available tools and executes repeatable workflows - Includes tool index, master routing, and case initialization scripts
Developer Tool
Tools that improve coding, testing, build, and local workflow
git clone https://github.com/zhaoxuya520/reverse-skill.git70
健康评分
一般
提交活跃度
May 13, 2026
创建于
Aug 15, 2026
最近提交
每日同步积累数据后，Star 历史将在此显示。
复刻
未解决
关注者
zhaoxuya520
GitHub 主页codecrafters-io/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
nilbuild/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
practical-tutorials/project-based-learning
Curated list of project-based tutorials
react/react
The library for web and native user interfaces.
trimstray/the-book-of-secret-knowledge
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
✓
许可证
✓
Fork 情况
~ 一般
维护情况
解决的问题
AI agents often lack domain knowledge about which reverse engineering or pentesting tool to use for a given task, leading to guesswork and repeated mistakes. This framework solves that by providing a structured routing system that maps task types (APK, ELF, JS, PCAP, CTF) to proven playbooks, automatically checks available tools, and bootstraps missing toolchains on demand. It also captures and reuses experience through a self-evolving knowledge base, preventing the same errors from recurring.
能力范围
Developers can build AI-assisted security analysis workflows that handle APK/Android reverse engineering, iOS/mobile analysis, frontend JS encryption cracking, binary analysis (ELF/PE), PCAP analysis, and CTF challenges. The ceiling is high: with the routing and toolchain bootstrapping, an AI agent can autonomously execute complex multi-step security assessments, generate evidence-based reports, and maintain a field journal of findings. Real-world use cases include automated malware analysis, vulnerability research, authorized penetration testing, and security education.
结论
This framework is ideal for security professionals, ethical hackers, and researchers who use AI coding agents and need structured, repeatable workflows for reverse engineering and authorized pentesting. It should be avoided by those without proper authorization or ethical boundaries, as the automation could be misused. The key trade-off is between efficiency and control: while it greatly accelerates security analysis, it requires responsible use and human oversight to ensure actions remain legal and ethical.