ai-engineering-from-scratch-zh is a Chinese-language adaptation of a course that teaches AI engineering by implementing algorithms, tools, and agents from the ground up. It is for learners following a 20-stage path across mathematics, machine learning, agent systems, and production topics, with lessons using Python, TypeScript, Rust, and Julia. The catalogue entries provide agent skills and instructions associated with the course.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add fancyboi999/ai-engineering-from-scratch-zh --skill migration-review-skillgit clone --depth 1 https://github.com/fancyboi999/ai-engineering-from-scratch-zhWrote 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/fancyboi999/ai-engineering-from-scratch-zh/migration-review-skill)<a href="https://agentmods.dev/skills/fancyboi999/ai-engineering-from-scratch-zh/migration-review-skill"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/migration-review-skill/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/fancyboi999/ai-engineering-from-scratch-zh/migration-review-skill"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/migration-review-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00048 | $0.00312 |
| Opus 5 | $0.00024 | $0.00156 |
| Sonnet 5 | $0.00010 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
Grade A, and why
migration-review 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 12d 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.
What it actually says
Migration 审查
仅审查 $ARGUMENTS 指定的 migration 文件，以及验证其兼容性所需的代码。本 Skill 不授权应用 migration。
- Run
python3 ${CLAUDE_SKILL_DIR}/scripts/check_scope.py $ARGUMENTS. - 若检查器拒绝任何
migrations/外的路径，立即停止。 - 阅读 references/review-checklist.md。
- 检查每个被接受文件及其 schema 假设。
- 报告正向行为、回滚限制、锁风险、数据量风险、验证证据和未解决 blocker。
返回以下标题：Scope、Evidence、Risks、Rollback、Blockers 和 Decision。所需证据缺失时，必须使用 Decision: blocked。
随附检查器是 scripts/check_scope.py。allowed-tools 条目只为调用回合预批准该命令，不移除其它 tool，也不替代项目权限 Rule。
What ships with it
2 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.
- 12d ago First seen · 20 lines · 48 tokens per session scan A 650debaf886b
migration-review is a skill published in the GitHub repository fancyboi999/ai-engineering-from-scratch-zh (1,055 stars, last pushed 3d ago), licensed MIT. It adds 48 tokens to every session and 312 once invoked, about $0.0002 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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