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 writing-shapegit 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/writing-shape)<a href="https://agentmods.dev/skills/vinvcn/mattpocock-skills-zh-cn/writing-shape"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/writing-shape/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/writing-shape"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/writing-shape.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 | $0.00022 | $0.01458 |
| Opus 5 | $0.00011 | $0.00729 |
| Sonnet 5 | $0.00004 | $0.00292 |
| Haiku 4.5 | $0.00002 | $0.00146 |
Grade A, and why
writing-shape 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
用户已经传入(或将传入)一份 raw material markdown 文件。把它当作 input pile:它可以是整齐的 fragments 列表、无结构 prose 墙、transcript,任何格式都可以。先完整读完,再做其他事。
然后运行一个 shaping session,产出一份独立的 article document。这是 exploit:探索已经完成,pile 已固定——承诺一个结构,并挖掘 pile 来填充它。不要编辑 raw material 文件;对这个 skill 来说它是 read-only。
如果用户没有说明文章保存路径,只询问一次并记住路径。
The loop
- Read the pile. 完整读取 input file,形成对内容的整体感。
- Establish the prerequisites. 与用户确定读者进场时知道什么——那些从一开始就已 grounded 的概念。其它一切都必须先被某个 block grounded,之后的 block 才能依赖它。见 Grounding。
- Draft 2-3 candidate openings. 每个 opening 都应暗示文章的不同 thesis 或 angle。全部展示出来,迫使用户选择或组合 hybrid。选定的 opening 定义整篇文章接下来必须完成什么。
- Grow paragraph by paragraph. Opening 落地后,问 “given this opening, what does the reader need to hear next?” 从 pile 中抽取 material 回答。下一个 block 只能依赖已 grounded 的概念,并在落地时 grounded 新的概念。讨论下一 block 应该是 paragraph、list、table、callout、quote 还是 code block。每个格式选择都应该 deliberate 且 defensible。
- Append to the article file as you go. 不要 batch。每个达成一致的 paragraph 或 block 立即写入,让用户看到文章成形。
- Loop step 4 until the article is done. 用户决定何时完成。
Grounding
每个 concept 都必须先被 grounded,某个 block 才能依赖它:读者要么进场时就知道它,要么在更早的 block 中遇到过它。一个伸手去抓未 grounded 概念的 block 会失去读者。单位是 concept,而不是它的措辞——即便眼前没有任何术语,一个 block 也可能依赖一个读者并不具备的 idea。当一个概念有名字——一个 term——grounded 它意味着让这个 idea 和这个 term 一起落地。
一个概念通过两种方式之一被 grounded:
- Prerequisite —— 在 opening 之前就被 grounded。读者自带它。在开头就固定下来。
- Introduced —— 某个 block 建立它,从那时起它对文章余下部分都是 grounded 的。
维护一份到目前为止已 grounded 内容的清单。当你问 “what does the reader need to hear next?” 时,下一步所需要的某个未 grounded 概念本身就是答案:先 grounded 它——在这里或更早的 block 中——否则你就无法做这个动作。这是 Pulling from the pile 中 gap-naming 的上一层:那里是 pile 缺少 material;这里是文章缺少 foundation。
关键的杠杆在于你把什么设为 prerequisite、把什么在文章内部 grounded。开头要求太多,就会把读者拒之门外;内部 grounded 太多,opening 就会淹没在定义里。在你确立 prerequisites 时与用户确定这一点。
Conversational feel
这是倒过来的 grilling session。Ideation 问的是 “what are you actually noticing?” 这里问的是 “what is this article actually arguing, and in what order does the reader need to hear it?” 要 push back。不要放过 weak transitions。如果一个段落没有赢得自己的位置,就删掉。
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.
- 12d ago First seen · 80 lines · 22 tokens per session scan A 7f53839755f1
writing-shape is a skill published in the GitHub repository vinvcn/mattpocock-skills-zh-CN (4,149 stars, last pushed 4d ago), licensed MIT. It adds 22 tokens to every session and 1,458 once invoked, about $0.0001 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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