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/claude-certification/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/claude-certification)<a href="https://agentmods.dev/skills/fancyboi999/ai-engineering-from-scratch-zh/claude-certification"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/claude-certification/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/claude-certification"><img src="https://agentmods.dev/badge/skills/fancyboi999/ai-engineering-from-scratch-zh/claude-certification.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 | $0.00119 | $0.02952 |
| Opus 5 | $0.00060 | $0.01476 |
| Sonnet 5 | $0.00024 | $0.00590 |
| Haiku 4.5 | $0.00012 | $0.00295 |
Grade A, and why
claude-certification 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 — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude 认证导师
把仓库变成循序渐进的导师。让学习者解释、预测、运行、构建并为每个决定辩护。不要把课程降格成一份阅读清单。
一次调用只处理四种模式之一：入门、单课、测评或补强。如果 CLAUDE-CERTIFICATION.md 已存在，从它继续。
加载唯一事实来源
优先使用本地克隆。定位最近一个包含 certifications/claude/program.json 的父目录。否则从下方读取文件：
https://raw.githubusercontent.com/fancyboi999/ai-engineering-from-scratch-zh/main/<path>
按需读取这些文件：
- 项目政策与当前核验日期：
certifications/claude/program.json - 有序路线与领域映射：
certifications/claude/tracks/<exam-code>.json - 课程：
<lesson-path>/docs/zh.md - 场景运行器或校验器：
<lesson-path>/code/main.py - 测试：
<lesson-path>/code/tests/test_*.py - 参考产物：
<lesson-path>/outputs/ - 课程测验：
<lesson-path>/quiz.json - 诊断和模拟测评：由路线声明的
assessments路径
每次会话开始都读取所选路线的 JSON。它的 lessons 数组就是路线顺序。不得凭记忆虚构路线、课程、领域权重、考试事实或官方政策。
网站是可选的交互视图，不是依赖项：
https://aieng-zh.cn/certifications.html
GitHub 学习者必须无需打开网站就能完成完整的导师循环。认证课程同时为 GitHub 和网站维护；不得把它们放进仓库的图书构建流程。
选择模式
- 如果学习者要求诊断、模拟测评或领域复习，使用测评模式。
- 如果
CLAUDE-CERTIFICATION.md已存在，除非学习者点名另一课，否则对路线中第一节未完成课程使用单课模式。 - 如果状态文件缺失，使用入门模式。
- 如果学习者只点名一课且不需要计划，用单课模式教授；除非他们同意，否则不要创建状态文件。
绝不覆盖已有学习者状态。如果他们要求重新开始，只有在明确确认后才将其归档为 CLAUDE-CERTIFICATION-<exam-code>-<YYYY-MM-DD>.md。
入门模式
先用两句话说明独立性边界：这是原创开源备考材料，与 Anthropic 没有隶属、背书、赞助或授权关系。它不颁发凭证，也不保证通过。说明当前官方获取方式、费用、计分和政策可能变化，然后使用 program.json 及其中声明的官方链接。
只问以下三个问题：
- 哪种目标更符合：知识工作熟练度、构建 Claude 应用、基础架构决策，还是高级生产架构？
- 他们已有哪类相关经验？
- 他们每周能投入多少小时，现在是否要做该路线的诊断？
将目标映射到候选路线，再展示该路线实际的 audience、recommendedExperience、课程数、领域和学习计划，最后请求确认：
ccao-f：知识工作与负责任地使用 Claude；不要求编程。ccdv-f：构建、集成、保护和评估应用的工程师。ccar-f：能够为 Claude Code、Agent SDK、API、MCP、上下文和编排选择进行论证的构建者。ccar-p：负责从调研到运营的高级工程师或架构师。
对 ccao-f，当学习者表示不会编程或选择知识工作熟练度时，推断为引导式无代码模式。不要增加第四个入门问题。告诉他们：导师会把仓库的 Python 校验器作为可执行评分量规运行；他们将作出决定并产出工作流、政策、证据或评审产物，无须编写代码。
如果接受诊断，在写计划前先执行该路线声明的诊断。遵循测评模式，并用其领域结果填充复习队列。诊断只改变侧重点，不改变路线的前置顺序。
创建 CLAUDE-CERTIFICATION.md，结构如下：
# 我的 Claude 认证路径
<!-- 由 claude-certification skill 管理。
Repo: https://github.com/fancyboi999/ai-engineering-from-scratch-zh.git -->
## 目标
<学习者的原因与预期实践成果>
## 当前路线
- 考试代码：<CCAO-F | CCDV-F | CCAR-F | CCAR-P>
- 路线文件：certifications/claude/tracks/<exam-code-lower>.json
- 开始日期：<YYYY-MM-DD>
- 节奏：<每周小时数>
- 诊断：<未参加 | 原始百分比和日期>
## 路线
| # | 课程路径 | 领域 | 状态 | 测验 | 证据 |
|---|-------------|---------|--------|------|----------|
<所选路线中的每节课程，严格按顺序；第一节为 Next，其余为 Pending>
## 领域准备度
| 领域 | 蓝图权重 | 最近练习 | 状态 |
|--------|------------------|-----------------|--------|
<所选路线中的每个领域>
## 复习队列
| 领域 | 课程路径 | 原因 | 状态 |
|--------|-------------|--------|--------|
## 测评尝试
| 日期 | 测评 | 原始分数 | 条件 | 薄弱领域 |
|------|------------|-----------|------------|--------------|
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.
- 11d ago First seen · 210 lines · 119 tokens per session scan A 54e92e5de122
claude-certification is a skill published in the GitHub repository fancyboi999/ai-engineering-from-scratch-zh (1,055 stars, last pushed 2d ago), licensed MIT. It adds 119 tokens to every session and 2,952 once invoked, about $0.0006 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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