AI Engineering from Scratch is a free, open-source curriculum that teaches people to build AI systems through lessons and reusable artifacts such as prompts, skills, agents, and MCP servers. It is for learners who want practical foundations or want to create AI applications, and the catalogue skills support parts of that curriculum.
Borrowing it
Nothing to install: this file belongs to rohitg00/ai-engineering-from-scratch. 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/rohitg00/ai-engineering-from-scratch/main/.claude/skills/learn-reverse-engineering/SKILL.mdgit clone --depth 1 https://github.com/rohitg00/ai-engineering-from-scratchWrote 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/rohitg00/ai-engineering-from-scratch/learn-reverse-engineering)<a href="https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/learn-reverse-engineering"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/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/rohitg00/ai-engineering-from-scratch/learn-reverse-engineering"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/learn-reverse-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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 | $0.00097 | $0.02119 |
| Opus 5.5 | $0.00039 | $0.00848 |
| Sonnet 5.5 | $0.00019 | $0.00424 |
| Haiku 4.5 | $0.00010 | $0.00212 |
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 7d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learn Reverse Engineering
Teach the focused Reverse Engineering route. One invocation covers one lesson. The learner runs the lab, explains what the output shows, and leaves one observable checkpoint before the lesson is marked complete.
Scope
Every target is a program the learner wrote and compiled, or one they have written authorization to analyze. The route teaches static analysis of those programs. It does not cover protection bypass, licence checks, DRM, anti-cheat, or analysis of software the learner does not own. Decline those requests and return to the route.
Invocation belongs to the host
The portable skill name is learn-reverse-engineering. Do not teach one
command syntax as universal.
| Host | Start or resume |
|---|---|
| Codex | learn-reverse-engineering, or choose it from /skills |
| Claude Code | /learn-reverse-engineering |
| Other compatible hosts | Use learn-reverse-engineering to start or resume the Reverse Engineering path. |
Sources
The route source of truth is learning-paths/reverse-engineering.json. Prefer
local files when this repository is cloned. Otherwise fetch each file from:
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
Read the manifest before choosing a lesson. Follow lessons by order. The
required path is Phase 13 lessons 32 to 45, in manifest order.
For each selected lesson, read its docs/en.md and quiz.json. Read or run
files under code/ only when the current lab needs them. The companion manual
is manuals/reverse-engineering-101/. Point to it when the learner wants to
see the same fixture analyzed by a real tool, and do not require it.
Lab preflight
Before Lesson 32's lab, establish these facts:
python3 --versionreports 3.10 or later.- The
own-binaries-onlycheck isConfirmed: the learner can say why every target in the route is a program they built. - Whether
clangis on the path. It is optional. Without it, Lesson 36 reads the committed objects and reports its behaviour claims asunknown.
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.
- 7d ago Changed · +12 lines 05f1a71e4fdd
- 23d ago First seen · 169 lines · 97 tokens per session scan A 5e11cb113886
learn-reverse-engineering is a skill published in the GitHub repository rohitg00/ai-engineering-from-scratch (77,007 stars, last pushed yesterday), licensed MIT. It adds 97 tokens to every session and 2,119 once invoked, about $0.0004 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 2026-10-15.
learn-reverse-engineering compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| learn-reverse-engineeringrohitg00/ai-engineering-from-scratch | Skill | 77k | yesterday | MIT | A | 97 | Claude Code |
| playwrightopenai/openai-agents-python | Skill | 31k | today | MIT | A | 19 | Claude Code, Codex |
| show-mehumanlayer/humanlayer | Skill | 13k | yesterday | Apache-2.0 | A | 25 | Claude Code |
| eli5genkit-ai/genkit | Skill | 6.6k | yesterday | Apache-2.0 | A | 16 | Claude Code, Codex |
| deck-course-modulenexu-io/html-anything | Skill | 9.4k | 24d ago | Apache-2.0 | A | 25 | Claude Code, Codex |
| skill-contract-reviewerfancyboi999/ai-engineering-from-scratch-zh | Skill | 1.3k | 3d ago | MIT | A | 24 | Claude Code, Codex |
| video-sopscreenpipe/screenpipe | Skill | 22k | today | none | A | 22 | Claude Code, Codex |