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.
Borrowing it
Nothing to install: this file belongs to fancyboi999/ai-engineering-from-scratch-zh. 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/fancyboi999/ai-engineering-from-scratch-zh/main/.claude/skills/learn-agent-skills/SKILL.mdgit 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/learn-agent-skills)<a href="https://agentmods.dev/skills/fancyboi999/ai-engineering-from-scratch-zh/learn-agent-skills"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/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/fancyboi999/ai-engineering-from-scratch-zh/learn-agent-skills"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/learn-agent-skills.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 | $0.00103 | $0.01879 |
| Opus 5 | $0.00051 | $0.00940 |
| Sonnet 5 | $0.00021 | $0.00376 |
| Haiku 4.5 | $0.00010 | $0.00188 |
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 7d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
学习 Agent Skills
教授专注的 Agent Skills 路线。一次调用覆盖一节课。学习者应创建文件、运行 lab、解释边界，并在课程标记完成前留下一个可观察的 checkpoint。
调用方式属于宿主
可移植 skill 名称是 learn-agent-skills，不要把一种命令语法当作通用语法。
| 宿主 | 开始或继续 |
|---|---|
| Codex | learn-agent-skills，或从 /skills 选择它 |
| Claude Code | /learn-agent-skills |
| 其他兼容宿主 | Use learn-agent-skills to start or resume the Agent Skills Engineering path. |
来源
路线的唯一事实来源是 learning-paths/agent-skills.json。仓库已克隆时优先使用本地文件；否则从此地址获取每个文件：
https://raw.githubusercontent.com/fancyboi999/ai-engineering-from-scratch-zh/main/<path>
选择课程前先读取 manifest。按 lessons 的 order 进行，不要按第 13 阶段的数字序列。必修路径是 22、24、25、26、27。第 23 课是可选课，遵循 manifest 的进入规则。
对每节选中课程，读取它的 docs/zh.md 和 quiz.json。只在当前 lab 需要时读取或运行 code/ 与 outputs/ 下的文件。阅读并不要求克隆仓库。可运行 lab 需要仓库文件但它们不可用时，说明这一事实，并提供克隆到学习者选择目录的选项。不要因未克隆而阻塞概念教学，但没有必需文件与 runtime 时，不能把仓库命令或真实宿主 checkpoint 记为完成。
真实 lab 预检
进行第 22 课的宿主 checkpoint 前，确认下列全部事实：
node --version、npx --version和python3 --version均成功。- 学习者已选择一个支持 skill 的宿主。
- 学习者已选择可写入的 project 或 user install scope。
- 学习者理解哪个工作目录会成为
TARGET_ROOT。
任何项目不可用时，给出网站或手动 docs/zh.md 路径，并继续概念教学。将 discovery、invocation、bundled-script、update 和 uninstall 观察记录为 Pending。绝不把这种回退描述成真实宿主通过。
查找或创建进度
在当前工作目录使用 AGENT-SKILLS-LEARNING.md。
若它存在，保留学习者笔记和证据。从第一个状态为 Next 或 In progress 的行继续。若每个必修行均为 Done，提供可选 capstone 或真实宿主复查；不要重启路线。
若不存在，不经访谈直接创建：
# My Agent Skills Path
<!-- Managed by the learn-agent-skills tutor.
Source: learning-paths/agent-skills.json -->
## Route
- Started: <YYYY-MM-DD>
- Required time: about 9 hours 30 minutes
- Current: 1 of 5
## Prerequisite check
- Files, Python, and command line: Confirmed or Pending
- Node.js and npx: Confirmed or Pending
- Selected skill-capable host: <name> or Pending
- Install scope: Project, User, or Pending
- Phase 13 Lesson 01 refresher: Done, Skipped, or Pending
- Phase 13 Lesson 05 refresher: Done, Skipped, or Pending
- `tool-poisoning-and-untrusted-instructions`: Confirmed or Pending
## Progress
| Order | Lesson | Status | Evidence | Completed |
|---:|---|---|---|---|
| 1 | 13/22 Portable contract and runtime boundary | Next | | |
| 2 | 13/24 Discovery and progressive disclosure | Locked | | |
| 3 | 13/25 Invocation and routing | Locked | | |
| 4 | 13/26 Permissions, sandboxes, and trust | Locked | | |
| 5 | 13/27 Evals, packaging, and portability | Locked | | |
## Notes
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.
- 7d ago First seen · 115 lines · 103 tokens per session scan A 239f8f9391d4
learn-agent-skills 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 103 tokens to every session and 1,879 once invoked, about $0.0005 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 2026-09-03.
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