mattpocock-skills-zh-CN is a Simplified Chinese localization of a collection of reusable instructions for coding agents. Chinese-speaking developers use the translated skills to support engineering workflows while keeping their original commands, paths, identifiers, and behavior. The catalogue contains the localized skills, instructions, and plugin components.
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 vinvcn/mattpocock-skills-zh-CN --skill scaffold-exercisesgit clone --depth 1 https://github.com/vinvcn/mattpocock-skills-zh-CNWrote 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/vinvcn/mattpocock-skills-zh-cn/scaffold-exercises)<a href="https://agentmods.dev/skills/vinvcn/mattpocock-skills-zh-cn/scaffold-exercises"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/scaffold-exercises/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/vinvcn/mattpocock-skills-zh-cn/scaffold-exercises"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/scaffold-exercises.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 | $0.00046 | $0.01006 |
| Opus 5.5 | $0.00018 | $0.00402 |
| Sonnet 5.5 | $0.00009 | $0.00201 |
| Haiku 4.5 | $0.00005 | $0.00101 |
Grade A, and why
scaffold-exercises 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 18d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
搭建练习
创建能通过 pnpm ai-hero-cli internal lint 的 exercise directory structures,然后用 git commit 提交。
目录命名
- Sections:
exercises/下的XX-section-name/(例如01-retrieval-skill-building) - Exercises:section 下的
XX.YY-exercise-name/(例如01.03-retrieval-with-bm25) - Section number =
XX,exercise number =XX.YY - Names 使用 dash-case(小写、连字符)
Exercise 变体
每个 exercise 至少需要这些 subfolders 中的一个:
problem/- student workspace,包含 TODOssolution/- reference implementationexplainer/- conceptual material,不含 TODOs
创建 stub 时,除非 plan 指定其他 variant,否则默认使用 explainer/。
必需文件
每个 subfolder(problem/、solution/、explainer/)都需要一个 readme.md,要求:
- 非空(必须有真实内容,即使只有一行 title 也可以)
- 没有 broken links
创建 stub 时,生成带 title 和 description 的最小 readme:
# Exercise Title
Description here
如果 subfolder 有 code,还需要 main.ts(>1 行)。但对 stubs 来说,readme-only exercise 可以接受。
工作流
- Parse the plan - 提取 section names、exercise names 和 variant types
- Create directories - 对每个 path 执行
mkdir -p - Create stub readmes - 每个 variant folder 一个带 title 的
readme.md - Run lint - 执行
pnpm ai-hero-cli internal lint验证 - Fix any errors - 迭代直到 lint 通过
Lint 规则摘要
linter(pnpm ai-hero-cli internal lint)检查:
- 每个 exercise 有 subfolders(
problem/、solution/、explainer/) - 至少存在
problem/、explainer/或explainer.1/之一 - primary subfolder 中存在非空
readme.md - 没有
.gitkeepfiles - 没有
speaker-notes.mdfiles - readmes 中没有 broken links
- readmes 中没有
pnpm run exercisecommands - 除非是 readme-only,否则每个 subfolder 都需要
main.ts
移动/重命名 exercises
重新编号或移动 exercises 时:
- 使用
git mv(不是mv)重命名 directories,保留 git history - 更新 numeric prefix 以维持顺序
- 移动后重新运行 lint
Example:
git mv exercises/01-retrieval/01.03-embeddings exercises/01-retrieval/01.04-embeddings
示例:从 plan 生成 stubs
给定这样的 plan:
Section 05: Memory Skill Building
- 05.01 Introduction to Memory
- 05.02 Short-term Memory (explainer + problem + solution)
- 05.03 Long-term Memory
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.
- 18d ago Changed 87b87db22239
- 1mo ago First seen · 107 lines · 46 tokens per session scan A a73110cc7e1e
scaffold-exercises is a skill published in the GitHub repository vinvcn/mattpocock-skills-zh-CN (5,317 stars, last pushed 7d ago), licensed MIT. It adds 46 tokens to every session and 1,006 once invoked, about $0.0002 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 2026-08-30.
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