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 grillinggit 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/grilling)<a href="https://agentmods.dev/skills/vinvcn/mattpocock-skills-zh-cn/grilling"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/grilling/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/grilling"><img src="https://agentmods.dev/badge/skills/vinvcn/mattpocock-skills-zh-cn/grilling.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 | $0.00043 | $0.00439 |
| Opus 5 | $0.00022 | $0.00219 |
| Sonnet 5 | $0.00009 | $0.00088 |
| Haiku 4.5 | $0.00004 | $0.00044 |
Grade A, and why
grilling 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.
What it actually says
持续访谈用户，直到达成共同理解。把这件事映射成一棵 design tree：每个 decision 都分支到挂在它下面的那些 decisions。
按 rounds 逐轮处理这棵树。frontier 是那些 prerequisites 已经敲定的 decisions——也就是你现在就可以问、无需猜测还没听到的答案的那些问题。在一轮里问完整条 frontier：给每个问题编号并附上你的推荐答案。然后等用户回答，再进入下一轮。
每个问题的格式如下：
❓ **Q1** - **<问题标题>**：<问题正文，可能有多段，包括多个选项>
➡️ <你的推荐答案>
每一轮用户给出的回答都会重塑这棵树——敲定的 decisions 会把 frontier 向外推，并解锁依赖它们的问题。重新计算 frontier，然后问下一轮。其答案依赖本轮中另一个仍未解决的问题，属于 更晚的 一轮，而不是本轮。
寻找 facts 是你的工作，绝不是用户的。当一个 frontier 问题需要来自 environment（filesystem、tools 等）的 fact 时，派一个 sub-agent 去查——不要问用户任何你自己能查到的东西。不要被它阻塞：一次正在进行的探索是一个尚未敲定的 prerequisite，所以只有它下游的问题才需要等 sub-agent 回报——现在先问 frontier 的其余部分。decisions 属于用户——逐个交给他，并等待。
当 frontier 为空时，会话才算结束：design tree 的每个分支都访问过，没有留下任何被默默假设的东西。在用户确认我们已经达成共同理解之前，不要采取行动。
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 · 22 lines · 43 tokens per session scan A 50f72749ef73
grilling is a skill published in the GitHub repository vinvcn/mattpocock-skills-zh-CN (4,149 stars, last pushed 4d ago), licensed MIT. It adds 43 tokens to every session and 439 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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