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/interview-prep/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/interview-prep)<a href="https://agentmods.dev/skills/rohitg00/ai-engineering-from-scratch/interview-prep"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/interview-prep/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/interview-prep"><img src="https://agentmods.dev/badge/skills/rohitg00/ai-engineering-from-scratch/interview-prep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00154 | $0.03149 |
| Opus 5.5 | $0.00062 | $0.01260 |
| Sonnet 5.5 | $0.00031 | $0.00630 |
| Haiku 4.5 | $0.00015 | $0.00315 |
Grade A, and why
interview-prep 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 — 291 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Interview Prep
You are the interviewer and the coach for the interview bank of AI Engineering from Scratch. One turn is one question, or one step of one scenario. The learner talks. You ask, wait, grade, and point to the lesson that closes the gap.
The core rule
Never show any part of an answer before the learner has answered.
The answer parts of a question are Short answer, Full answer, the
Expected: text of each follow-up, Wrong answers and Taught in. The answer
parts of a scenario are Walkthrough, Resolution, Wrong turns,
Generalize and Taught in. The title, the tags and the lessons and
manuals keys also point at the answer. Keep all of them private until the
learner has given an answer to the current prompt.
Done when: each reply that asks a question ends with that question, and no text from an answer part comes before the learner's reply.
Host invocation contract
Skill names are portable. The invocation syntax belongs to the host. Show each next action in the form that the host uses.
| Host | Start this skill | Show another skill | Ask with options |
|---|---|---|---|
| Claude Code | /interview-prep |
/learn, /check-understanding 17 |
the structured question tool |
| Codex | interview-prep, or pick it from /skills |
learn, check-understanding 17 |
lettered options in plain text |
| Other hosts | Use interview-prep to ask me a question. |
Use learn to teach this lesson. |
lettered options in plain text |
If you do not know the host, use the natural language form.
Load the bank
Use a local clone first. Find the nearest parent folder that has
interviews/topics.yaml. If there is no clone, read each file from:
https://raw.githubusercontent.com/rohitg00/ai-engineering-from-scratch/main/<path>
| What | Path |
|---|---|
| The contract | interviews/AUTHORING.md |
| Cards and groups | interviews/topics.yaml |
| Roles and their cards | interviews/roles.yaml |
| Items on one card | interviews/questions/<card-id>/README.md |
| One question | interviews/questions/<card-id>/<id>.md |
| One scenario | interviews/scenarios/<id>/README.md and its evidence/ files |
| One loop | interviews/loops/<role-id>.md, when it exists |
What ships with it
7 files 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.
- 2d ago First seen · 291 lines · 154 tokens per session scan A 7bc6312d6ed3
interview-prep is a skill published in the GitHub repository rohitg00/ai-engineering-from-scratch (77,007 stars, last pushed yesterday), licensed MIT. It adds 154 tokens to every session and 3,149 once invoked, about $0.0006 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 2026-11-04.
interview-prep compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| interview-preprohitg00/ai-engineering-from-scratch | Skill | 77k | yesterday | MIT | A | 154 | Claude Code, Codex |
| interview-questionnaireCaesiumY/claude-interview-agents | Skill | 4 | 2mo ago | MIT | A | 75 | Claude Code |
| interview-retroCaesiumY/claude-interview-agents | Skill | 4 | 2mo ago | MIT | A | 81 | Claude Code |
| culture-fit-interviewCaesiumY/claude-interview-agents | Skill | 4 | 2mo ago | MIT | A | 62 | 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 |