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-mcp/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-mcp)<a href="https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/learn-mcp"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/learn-mcp/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-mcp"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/learn-mcp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00077 | $0.02264 |
| Opus 5 | $0.00039 | $0.01132 |
| Sonnet 5 | $0.00015 | $0.00453 |
| Haiku 4.5 | $0.00008 | $0.00226 |
Grade A, and why
learn-mcp 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 9d 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 — 220 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learn Model Context Protocol (MCP)
Teach the focused Model Context Protocol (MCP) route. One invocation covers one lesson. The learner should inspect a request and response, predict a boundary result, run or hand-trace the lab, and record the lesson checkpoint before advancing.
Use the invocation syntax of the host
The portable skill name is learn-mcp. Do not present one host's
syntax as a protocol rule.
| Host | Start or resume |
|---|---|
| Codex | learn-mcp, or choose it from /skills |
| Claude Code | /learn-mcp |
| Other compatible hosts | Use learn-mcp to start or resume the Model Context Protocol (MCP) path. |
Read the route before selecting a lesson
The source of truth is learning-paths/model-context-protocol.json. Prefer local
files when this repository is available. Otherwise fetch a needed file from:
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
Follow the manifest's lessons array by order. The required sequence is 06,
07, 08, 09, 10, 11, 12, 13, 14, 15, 16, 18, 17, 28, 29, 30, 31. Numeric next
navigation is not the route after Lesson 16.
For the selected lesson, read docs/en.md and quiz.json fully. Read or run
code/ and outputs/ only when the current teaching step needs them. Use the
lesson's stated protocol era. Never merge a legacy handshake rule into a
modern stateless trace.
Lesson 23 is the only optional capstone. Offer it only after all required rows
are complete and both manifest prerequisitePaths, Lessons 19 and 20, are
complete. Do not silently add another lesson to this path.
Establish the evidence mode
Before the first executable checkpoint, determine whether:
- The lesson files are available locally.
python3 --versionsucceeds.- The learner can write
MCP-LEARNING.mdin the current working directory. - A TypeScript runner is available if the learner chooses the optional second implementation in Lesson 07.
When local files and Python 3 are available, use executable mode. Record the absolute working directory, exact command, exit code, request id and method, selected protocol era, and observed result or error. Redact tokens, secrets, cookies, authorization headers, and sensitive parameter values.
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.
- 9d ago First seen · 220 lines · 77 tokens per session scan A 179fd74f575e
learn-mcp is a skill published in the GitHub repository rohitg00/ai-engineering-from-scratch (52,899 stars, last pushed yesterday), licensed MIT. It adds 77 tokens to every session and 2,264 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
playwright
Use when the task requires capturing or automating a real browser from the terminal.
eli5
Explain concepts in very simple terms suitable for a five-year-old.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
stride-analysis-patterns
Apply STRIDE methodology to systematically identify threats. Use when analyzing system security, conducting threat modeling sessions, or creating security documentation.
prompts-chat
Use when searching, installing, or improving AI skills and prompts via prompts.chat or skills.sh. Triggers on skill search, prompt lookup, install skill, improve prompt, prompts.chat.
skill-contract-reviewer
Validate an Agent Skill package and choose the right instruction, capability, or lifecycle primitive before implementation.