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 domain-modelinggit 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/domain-modeling)<a href="https://agentmods.dev/skills/vinvcn/mattpocock-skills-zh-cn/domain-modeling"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/domain-modeling/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/domain-modeling"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/domain-modeling.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 | $0.00042 | $0.00766 |
| Opus 5 | $0.00021 | $0.00383 |
| Sonnet 5 | $0.00008 | $0.00153 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
domain-modeling 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 13d 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 — 75 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Domain Modeling
在设计过程中主动构建并打磨项目的 domain model。这是 active discipline:挑战术语、发明 edge-case scenarios,并在概念成形的当下写入 glossary 和 decisions。(仅仅读取 CONTEXT.md 来获取词汇,不是这个 skill;那只是任何 skill 都能做的一行习惯。这个 skill 用于改变 model,而不是消费 model。)
File structure
多数 repos 只有一个 context:
/
|- CONTEXT.md
|- docs/
| `- adr/
| |- 0001-event-sourced-orders.md
| `- 0002-postgres-for-write-model.md
`- src/
如果 root 有 CONTEXT-MAP.md,说明 repo 有多个 contexts。map 指向每个 context 的位置:
/
|- CONTEXT-MAP.md
|- docs/
| `- adr/ -> system-wide decisions
`- src/
|- ordering/
| |- CONTEXT.md
| `- docs/adr/ -> context-specific decisions
`- billing/
|- CONTEXT.md
`- docs/adr/
按需懒创建文件:只有在有内容要写时才创建。如果没有 CONTEXT.md,当第一个 term 被解决时创建它。如果没有 docs/adr/,当第一个 ADR 需要出现时创建它。
During the session
Challenge against the glossary
当用户使用的术语与 CONTEXT.md 中既有语言冲突时,立即指出。"Your glossary defines 'cancellation' as X, but you seem to mean Y - which is it?"
Sharpen fuzzy language
当用户使用模糊或过载术语时,提出一个精确的 canonical term。"You're saying 'account' - do you mean the Customer or the User? Those are different things."
Discuss concrete scenarios
讨论 domain relationships 时,用具体场景做压力测试。发明能探测 edge cases 的场景,迫使用户精确定义概念之间的 boundaries。
Cross-reference with code
当用户描述某事如何工作时,检查代码是否同意。如果发现矛盾,要指出:"Your code cancels entire Orders, but you just said partial cancellation is possible - which is right?"
Update CONTEXT.md inline
当一个 term 被解决时,立刻更新 CONTEXT.md。不要批量攒到最后;随着概念出现就捕获。使用 CONTEXT-FORMAT.md 中的格式。
CONTEXT.md 必须完全不包含 implementation details。不要把 CONTEXT.md 当 spec、scratch pad 或 implementation decisions 的仓库。它只是一份 glossary。
Offer ADRs sparingly
只有以下三项都成立时,才提出创建 ADR:
- Hard to reverse - 之后改变主意的成本有意义
- Surprising without context - 未来读者会疑惑 "why did they do it this way?"
- The result of a real trade-off - 确实存在替代方案,而你基于具体理由选择了其中一个
缺少任一项就跳过 ADR。使用 ADR-FORMAT.md 中的格式。
What ships with it
3 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.
- 13d ago First seen · 75 lines · 42 tokens per session scan A 4d96f32f0456
domain-modeling is a skill published in the GitHub repository vinvcn/mattpocock-skills-zh-CN (4,149 stars, last pushed 5d ago), licensed MIT. It adds 42 tokens to every session and 766 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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