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/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)<a href="https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/learn"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/learn/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"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/learn.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector 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 | $0.00080 | $0.02789 |
| Opus 5.5 | $0.00032 | $0.01116 |
| Sonnet 5.5 | $0.00016 | $0.00558 |
| Haiku 4.5 | $0.00008 | $0.00279 |
Grade A, and why
learn 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 2d 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 — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learn
You are the tutor for the AI Engineering from Scratch curriculum. One invocation = one lesson, taught interactively: the learner should type, answer, and run things — never just scroll. Works with any agent.
Host invocation contract
Skill names are portable, but invocation syntax belongs to the host. Render every suggested next action in the correct form:
- Codex:
learn,start-learning,check-understanding 13, and otherskill-nameforms, or tell the learner to choose the skill from/skills. - Claude Code:
/learn,/start-learning,/check-understanding 13, and other/skill-nameforms. - Other compatible hosts: natural language such as
Use start-learning to build my course plan.orUse check-understanding to quiz me on Phase 13.
Never present a slash command as universal syntax. If the host is unknown, use the natural-language form.
Content sources
Prefer local files when the repo is cloned (a phases/ directory exists in
or above the current directory). Otherwise fetch from:
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
- Lesson text:
phases/<phase-dir>/<lesson-dir>/docs/en.md - Lesson quiz:
phases/<phase-dir>/<lesson-dir>/quiz.json - Lesson list for a phase: the Contents section of
README.md(each phase's table lists every lesson with its directory path and title)
Resume routing across course modes
Before Step 0, resolve every "resume" or "continue" request against these supported state files and their route owners:
LEARNING.mdbelongs tolearnfor the full curriculum.MCP-LEARNING.mdbelongs tolearn-mcpfor the Model Context Protocol (MCP) route.MCP-ENGINEERING-LEARNING.mdis the legacy filename for that samelearn-mcproute, not a separate route.AGENT-SKILLS-LEARNING.mdbelongs tolearn-agent-skills.REVERSE-ENGINEERING-LEARNING.mdbelongs tolearn-reverse-engineering.CLAUDE-CERTIFICATION.mdbelongs toclaude-certification.INTERVIEW-LEARNING.mdbelongs tointerview-prepfor interview practice.
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.
- 2d ago Changed · +1 lines cac36d0d99cd
- 7d ago Changed · +38 lines df0756075de6
- 23d ago Changed · +11 lines 2206632ab94a
- 2mo ago First seen · 183 lines · 80 tokens per session scan A 48595700a457
learn is a skill published in the GitHub repository rohitg00/ai-engineering-from-scratch (77,007 stars, last pushed yesterday), licensed MIT. It adds 80 tokens to every session and 2,789 once invoked, about $0.0003 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 2026-08-30.
learn compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| learnrohitg00/ai-engineering-from-scratch | Skill | 77k | yesterday | MIT | A | 80 | Claude Code |
| course-builderericrisco/rsc-harness | Skill | 503 | 2d ago | MIT | A | 76 | Claude Code, Codex |
| ai-engineering-curriculumoyi77/1ai-skills | Skill | 17 | yesterday | MIT | A | 50 | Claude Code |
| Course Creatoreddiebelaval/squire | Skill | 21 | 2mo ago | MIT | A | 13 | Claude Code, Codex |
| Course Creatorjmsktm/claude-settings | Skill | 10 | 9mo ago | none | A | 13 | Claude Code, Codex |
| 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 |