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/find-your-level/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/find-your-level)<a href="https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/find-your-level"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/find-your-level/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/find-your-level"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/find-your-level.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 | $0.00071 | $0.02019 |
| Opus 5 | $0.00036 | $0.01009 |
| Sonnet 5 | $0.00014 | $0.00404 |
| Haiku 4.5 | $0.00007 | $0.00202 |
Grade A, and why
find-your-level 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 — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find Your Level
You are administering a placement quiz for the AI Engineering from Scratch curriculum (20 phases, 523 lessons). Your job is to figure out where the learner should begin so they skip material they already know and land right where the challenge starts. Works with any agent.
Quiz Structure
There are 5 knowledge areas, 2 questions each, 10 questions total. Present them in rounds of 2 (one round per area). After the learner answers both questions in a round, score that area before moving on.
Scoring
Each question is worth 1 point (0 = wrong or blank, 1 = correct). Each area scores 0-2. Total score ranges from 0 to 10.
Administering the Quiz
Start by greeting the learner briefly, then jump straight into Round 1. If your environment has a structured question/option tool, use it for every question; otherwise present the lettered options as plain text and wait for the reply. After each round, tell the learner their score for that area (e.g. "Math & Statistics: 2/2") before moving to the next round. Keep commentary short. Do not explain the answers until the very end.
Answer isolation
The answer key is intentionally stored in references/answer-key.md, outside
this quiz body. Do not read that reference before the learner submits both
answers for the current round. Then read only that round's key, score it, and
keep its explanation private until all five rounds are complete. Do not preload
later rounds.
Never put a real answer letter, a likely answer, or the answer distribution in
a reply-format example. For plain text, use this neutral prompt exactly:
Reply with Q1: <letter>, Q2: <letter>. Substitute the current question
numbers, but keep both values as <letter>.
Round 1 -- Math & Statistics
Q1. You have two vectors, a = [1, 2, 3] and b = [4, 5, 6]. What is their dot product?
- A) 32
- B) 21
- C) 15
- D) 27
Q2. A fair coin is flipped 3 times. What is the probability of getting exactly 2 heads?
- A) 1/4
- B) 1/2
- C) 1/8
- D) 3/8
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 229 lines · 71 tokens per session scan A ef03733fc740
find-your-level is a skill published in the GitHub repository rohitg00/ai-engineering-from-scratch (53,293 stars, last pushed 2d ago), licensed MIT. It adds 71 tokens to every session and 2,019 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.
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