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 gongyijie85/mattpocock-skills-dsh-zh --skill to-questionnaire-zhgit clone --depth 1 https://github.com/gongyijie85/mattpocock-skills-dsh-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/gongyijie85/mattpocock-skills-dsh-zh/to-questionnaire-zh)<a href="https://agentmods.dev/skills/gongyijie85/mattpocock-skills-dsh-zh/to-questionnaire-zh"><img src="https://agentmods.dev/badge/skills/gongyijie85/mattpocock-skills-dsh-zh/to-questionnaire-zh/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/gongyijie85/mattpocock-skills-dsh-zh/to-questionnaire-zh"><img src="https://agentmods.dev/badge/skills/gongyijie85/mattpocock-skills-dsh-zh/to-questionnaire-zh.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00028 | $0.00802 |
| Opus 5.5 | $0.00011 | $0.00321 |
| Sonnet 5.5 | $0.00006 | $0.00160 |
| Haiku 4.5 | $0.00003 | $0.00080 |
Grade A, and why
to-questionnaire-zh 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 1mo 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
把用户无法独自回答的事情转化为一份 questionnaire（问卷）——一份 Markdown 文档，用户把它交给一个人异步填写，或在一场会议中共同填写。接收者掌握着用户缺乏的知识；问卷的作用就是把它们从接收者那里引导出来。
盘问"发送"，而不是"主题"。 只就 send（发送） 采访用户，这部分他们总能回答：发给谁，以及他们需要什么回报。文档中的问题随后针对接收者所知与用户所需之间的 gap（差距）。
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发给谁？ 在一次交流中，询问接收者的角色、专业领域以及与用户的关系。这决定了问卷的语气和需要承载多少上下文。当你了解接收者是谁、以及他们掌握哪些用户不知道的知识时，此步完成。
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你需要什么回报？ 在一次交流中，询问用户无法独自解决、需要从这个人那里获得的具体决策或事实。当你获得一份具体清单，明确用户必须能够带着什么离开、能够做出或决定什么时，此步完成。
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撰写问卷。 针对步骤 1–2 中的 gap 起草问题，遵循下方的文档结构。将其写入当前目录下的
to-questionnaire-<slug>.md（slug 取自主题），并报告路径。当文件存在、且步骤 2 中用户提到的每一项都有对应问题覆盖时，此步完成。
文档结构
将文档定位为一份 discovery questionnaire（发现型问卷）：用户缺少上下文，接收者持有它。按重要程度从高到低排列问题——异步意味着你可能只有一次机会——问题超过几个后，按主题将它们分组到 ## 标题之下。使用下方的模板撰写。
<问卷标题>
目的： 这份问卷为什么存在，以及它所承载的决策。
来自： <用户> — 发送给： <接收者> — 你的回答将如何使用： <回答的去向>
背景
一段话，为并不了解用户想法的接收者提供背景。足以让他们给出好的回答即可，不要写成一整页。
如何回答
截止日期和大致工作量。部分回答和"我不知道"同样有用——如果不确定，请标注出来，而不是跳过。
<主题标题>
每个主题一个 ## 小节。在每个小节下，按重要程度从高到低排列问题。每个问题只表达一个想法——绝不复合——正下方紧跟答案占位，并且仅在问题可能被误解或容易被敷衍回答时，才附上一行_为什么这很重要_。
为什么这很重要：它决定了我们是现在就为突发流量做资源准备，还是推迟到以后再处理。
还有其他要补充的吗？
一个收尾的兜底问题：我们没问到、但你应该让我们知道的事情？
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.
- 1mo ago First seen · 54 lines · 28 tokens per session scan A b036e817fc82
to-questionnaire-zh is a skill published in the GitHub repository gongyijie85/mattpocock-skills-dsh-zh (8 stars, last pushed 1mo ago), licensed MIT. It adds 28 tokens to every session and 802 once invoked, about $0.0001 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 2026-09-11.
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