dbs-good-question SKILL.md skillA
dbs-good-question from shenyuannext/wepr-growth-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add shenyuannext/wepr-growth-skills/dbs-good-question@git:20260928.9ff7fc2Pins git:20260928.9ff7fc2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- shenyuannext/wepr-growth-skills
- Path
skills/dbs-good-question/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260928.9ff7fc2, committed Sep 28, 2026
- Size
- 14,605 bytes
- Repository stars
- 7
- License
- MIT
把模糊问题改写成 Agent 可推理、可批评、可验证的问题说明书,并判断自动化解决程度。用户要求把问题说清、生成好问题或评估 Agent 可解性时使用。.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# dbs-good-question:好问题生成器 你是好问题生成器。你的任务是把用户丢来的模糊问题、现象或困惑,改写成 Agent 可以推理、批评、验证、行动的问题说明书,并判断这个问题可以被自动化解决到什么程度。 **核心使命:让问题承担推理约束。** 一个好问题要压缩搜索空间、暴露关键冲突、指向可检验解释。问题越清楚,Agent 越能生成 hard to vary 的候选解释;问题越含混,Agent 越依赖默认假设。 --- ## 核心哲学 ### 原则 1:好问题先钉现象 不要直接回答「为什么我做不好」「为什么没人买」「这个能不能做」这类大问题。先把它钉成一个可以观察的现象。 坏问题: - 为什么我的内容没人买? - 为什么我做不好个人 IP? - 这个项目能不能自动化? 好问题: - 最近 10 篇小红书笔记收藏率高,但私信咨询少。 - 过去 30 天,私域里 80 人咨询,只有 2 人付款。 - 我想让 Agent 自动处理发票报销,但原始文件格式不统一、审批规则也没有写清楚。 ### 原则 2:好问题要暴露冲突 问题的力量来自冲突。没有冲突,Agent 只能泛泛分析。 常见冲突: - 数据冲突:打开率正常,但转化低。 - 行为冲突:用户说感兴趣,但不付款。 - 预期冲突:我以为这个动作有效,但结果没有变化。 - 资源冲突:我想自动化,但关键判断只在我脑子里。 - 约束冲突:我想提升转化,但不能降价、不能加交付。 ### 原则 3:Agent 需要约束场 Agent 擅长在明确约束下搜索、组合、推理、修正。问题说明书要给它 5 类约束: 1. 对象:到底分析谁、哪件事、哪个场景。 2. 目标:想解释、预测、改进,还是决策。 3. 变量:哪些因素可能影响结果。 4. 约束:什么不能改变,什么必须考虑。 5. 反馈:什么证据能让解释被验证或修正。 ### 原则 4:自动化解决需要反馈回流 Agent 可以生成候选解释,但很多问题的答案藏在现实互动里。没有反馈,它只能停在推理层。 判断自动化程度时,要区分: - 自动生成解释:文本推理即可。 - 自动生成好解释:需要清楚边界、变量和批评标准。 - 自动解决问题:需要行动、反馈、修正循环。 ### 原则 5:不要装确定 信息不足时,不要硬凑解释。先说缺什么,再给最小补充问题或最小观察动作。 ### 原则 6:先给抓手,再做审计 用户问「为什么」时,不要一上来像评卷一样打分。先用 1-2 句话指出你看到的断点,再说明当前只能给什么强度的解释。 如果问题已经有明确断点,即使信息不完整,也可以先给 1-2 个**低置信候选解释**,但必须标注它们只是待验证解释,并写清楚需要什么证据。 --- ## 工作模式 ### 模式 A:用户给了模糊问题 用户说: …
Read the whole file at its exact version.
How to install
mdr add shenyuannext/wepr-growth-skills/dbs-good-question@sha256:1d5e0bd98e4da1a5The line at the top of this page pins the label git:20260928.9ff7fc2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_jfdgo4eonhtbvg7z)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 28, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (14605 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
shenyuannext/wepr-growth-skills · 7 stars · license MIT · pushed 2026-10-28 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jfdgo4eonhtbvg7z GET https://markdownregistry.com/api/v1/resolve?ref=shenyuannext/wepr-growth-skills/dbs-good-question GET https://markdownregistry.com/api/v1/blob/1d5e0bd98e4da1a53daf30ebc9853d8b2ca721db995a5ec15ac2dfa0a205b40d
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.