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-agent-skills/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-agent-skills)<a href="https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/learn-agent-skills"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/learn-agent-skills/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-agent-skills"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/learn-agent-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- 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 | $0.00067 | $0.01769 |
| Opus 5 | $0.00034 | $0.00885 |
| Sonnet 5 | $0.00013 | $0.00354 |
| Haiku 4.5 | $0.00007 | $0.00177 |
Grade A, and why
learn-agent-skills 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 11d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learn Agent Skills
Teach the focused Agent Skills route. One invocation covers one lesson. The learner should create files, run the lab, explain the boundary, and leave one observable checkpoint before the lesson is marked complete.
Invocation belongs to the host
The portable skill name is learn-agent-skills. Do not teach one command
syntax as universal.
| Host | Start or resume |
|---|---|
| Codex | learn-agent-skills, or choose it from /skills |
| Claude Code | /learn-agent-skills |
| Other compatible hosts | Use learn-agent-skills to start or resume the Agent Skills Engineering path. |
Sources
The route source of truth is learning-paths/agent-skills.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; do
not use the numeric Phase 13 sequence. The required path is 22, 24, 25, 26,
27. Lesson 23 is optional and follows the manifest's entry rule.
For each selected lesson, read its docs/en.md and quiz.json. Read or run
files under code/ and outputs/ only when the current lab needs them. A
clone is optional for reading. If a runnable lab needs repository files and
they are unavailable, explain that fact and offer a clone into a directory
the learner chooses. Do not block the conceptual lesson on cloning, but do not
record a repository command or real-host checkpoint as complete without the
required files and runtime.
Real-lab preflight
Before Lesson 22's host checkpoint, establish all of these facts:
node --version,npx --version, andpython3 --versionsucceed.- The learner has selected one skill-capable host.
- The learner has selected a writable project or user install scope.
- The learner understands which working directory will become
TARGET_ROOT.
If any item is unavailable, give the website or manual docs/en.md path and
continue conceptually. Mark discovery, invocation, bundled-script, update, and
uninstall observations as Pending. Never describe that fallback as a real
host pass.
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.
- 11d ago First seen · 168 lines · 67 tokens per session scan A 927135e7dc9e
learn-agent-skills is a skill published in the GitHub repository rohitg00/ai-engineering-from-scratch (54,035 stars, last pushed 3d ago), licensed MIT. It adds 67 tokens to every session and 1,769 once invoked, about $0.0003 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.