ai-engineering-from-scratch-zh is a Chinese-language adaptation of a course that teaches AI engineering by implementing algorithms, tools, and agents from the ground up. It is for learners following a 20-stage path across mathematics, machine learning, agent systems, and production topics, with lessons using Python, TypeScript, Rust, and Julia. The catalogue entries provide agent skills and instructions associated with the course.
Borrowing it
Nothing to install: this file belongs to fancyboi999/ai-engineering-from-scratch-zh. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/fancyboi999/ai-engineering-from-scratch-zh/main/.claude/skills/learn-reverse-engineering/SKILL.mdgit clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zhWrote 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.
[](https://agentmods.dev/skills/fancyboi999/ai-engineering-from-scratch-zh/learn-reverse-engineering)<a href="https://agentmods.dev/skills/fancyboi999/ai-engineering-from-scratch-zh/learn-reverse-engineering"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/learn-reverse-engineering/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/fancyboi999/ai-engineering-from-scratch-zh/learn-reverse-engineering"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/learn-reverse-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00117 | $0.02139 |
| Opus 5.5 | $0.00047 | $0.00856 |
| Sonnet 5.5 | $0.00023 | $0.00428 |
| Haiku 4.5 | $0.00012 | $0.00214 |
Grade A, and why
learn-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 5d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.
学习逆向工程
讲授逆向工程专项路径，每次调用完成一课。学习者运行实验、解释输出，并留下一个可观察的检查点，才能将本课标记为完成。
范围
所有目标必须是学习者自己编写并编译的程序，或已取得书面分析授权的程序。本路径教授这些程序的静态分析，不涉及保护绕过、许可检查、DRM、反作弊或学习者不拥有的软件。遇到这些请求时，拒绝并返回本路径。
调用方式由宿主决定
可移植技能名是 learn-reverse-engineering。不同宿主的调用语法不同。
| 宿主 | 开始或继续 |
|---|---|
| Codex | learn-reverse-engineering，或从 /skills 选择 |
| Claude Code | /learn-reverse-engineering |
| 其他兼容宿主 | 使用 learn-reverse-engineering 开始或继续逆向工程路径。 |
来源
路径以 learning-paths/reverse-engineering.json 为唯一真相。已克隆仓库时优先读取本地文件，否则从以下地址逐个获取：
https://raw.githubusercontent.com/fancyboi999/ai-engineering-from-scratch-zh/main/<path>
选择课程前先读取清单，按 lessons 的 order 顺序学习。必修范围是第 13 阶段第 32 至 45 课。
对选定课程读取 docs/zh.md 和 quiz.json。当前实验需要时才读取或运行 code/。配套手册在 manuals/reverse-engineering-101/。学习者希望看到真实工具分析同一测试样本时，提供手册链接；手册不是必修项。
实验前置检查
开始第 32 课实验前，查明：
python3 --version是否为 3.10 或更高版本。own-binaries-only是否为Confirmed：学习者能说明路径中的每个分析目标为何都是自己构建的程序。- PATH 中是否有
clang。它是可选项。没有时，第 36 课读取仓库中的目标文件，并将行为断言标记为unknown。
没有 Python 时，给出网站或 docs/zh.md 路径，继续概念讲解。实验观察标记为 Pending，不能表述为实验通过。
查找或创建进度
使用当前工作目录中的 REVERSE-ENGINEERING-LEARNING.md。
文件已存在时，保留学习者的笔记与证据。从首个状态为 Next 或 In progress 的行继续。如果全部为 Done，建议阅读手册，或换一个优化级别重新编译样本复查，不要重置进度。
文件不存在时，无需访谈，直接创建：
# 我的逆向工程路径
<!-- 由 learn-reverse-engineering 导师维护。
来源：learning-paths/reverse-engineering.json -->
## 路径
- 开始日期：<YYYY-MM-DD>
- 必修用时：约 32 小时 25 分钟
- 当前进度：1 / 14
## 前置检查
- Python、十六进制、命令行：Confirmed 或 Pending
- Python 3.10 或更高版本：Confirmed 或 Pending
- clang：Available 或 Not available
- `own-binaries-only`：Confirmed 或 Pending
## 进度
| 顺序 | 课程 | 状态 | 证据 | 完成日期 |
|---:|---|---|---|---|
| 1 | 13/32 从零实现 ELF 读取器 | Next | | |
| 2 | 13/33 反汇编与控制流 | Locked | | |
| 3 | 13/34 提升到伪代码 | Locked | | |
| 4 | 13/35 证据、置信度与未知项 | Locked | | |
| 5 | 13/36 重建并证明等价 | Locked | | |
| 6 | 13/37 逆向工程全景 | Locked | | |
| 7 | 13/38 调用约定与栈帧 | Locked | | |
| 8 | 13/39 编译器惯用模式与优化 | Locked | | |
| 9 | 13/40 链接、加载与去符号二进制 | Locked | | |
| 10 | 13/41 恢复数据与类型 | Locked | | |
| 11 | 13/42 自有程序的动态分析 | Locked | | |
| 12 | 13/43 字节码与托管格式 | Locked | | |
| 13 | 13/44 二进制差分与符号执行 | Locked | | |
| 14 | 13/45 AI 辅助逆向工程 | Locked | | |
## 笔记
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.
- 5d ago First seen · 130 lines · 117 tokens per session scan A 72147eae0777
learn-reverse-engineering is a skill published in the GitHub repository fancyboi999/ai-engineering-from-scratch-zh (1,276 stars, last pushed 4d ago), licensed MIT. It adds 117 tokens to every session and 2,139 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-10-20.
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