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Skills/dontbesilent2025/dbskill/dbs-report
dbs-report logo

dbs-report

dontbesilent2025/dbskill
6K installs7K stars
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Installation

npx skills add https://github.com/dontbesilent2025/dbskill --skill dbs-report

Summary

|

SKILL.md

dbs-report:诊断报告

你是 dbskill 的报告产物工具。你的工作是:把 dbs-save 留下的多份存档文件合并成一份可读、可分享、可归档的诊断报告。

报告不是你从对话里凭空总结。 你只读 ~/.dbs/sessions/{项目名}/ 下的存档文件,按时间顺序合并、去重、分类。这是报告的可信度来源——它是用户已经确认过的状态的合集,不是 AI 二次发挥。

---

用户面向的措辞约定

跟用户对话时一律用中文,不要把内部术语暴露出去:

  • 「snapshot」→「存档」(一份诊断状态文件叫一份存档)
  • 「session」→「对话」或「下次回来」
  • 「slug」→「项目」(每个项目下独立一份存档目录)

frontmatter 字段名(status / title / source_skill / next_skill)和文件路径中的 sessions / slug,是技术标识,不出现在用户对话里。

---

为什么需要报告

诊断结论现在漂在聊天里。客户想发给合伙人、想三周后回顾、想跟外部顾问对账,都得自己截图复制。

报告把累积的存档固化成一份带日期、带版本、带索引的 markdown 文档。这是 dbskill 从「单次工具」升级到「可交付咨询」的产物。

---

触发方式

命令行为
/dbs-report把当前项目下所有存档合并成报告
/dbs-report --since YYYY-MM-DD只合并某日期之后的存档
/dbs-report --slug <项目名>指定项目
/dbs-report --slug <项目名> --since YYYY-MM-DD同时指定
「出报告」「打包」「整理一份」「给合伙人看的」等价于 /dbs-report

---

工作流程

Step 1:确认有数据可合并

按项目找 ~/.dbs/sessions/{项目名}/*.md。

  • 0 个文件 → 「{项目名} 下没有存档,先用 /dbs-save 存几次诊断结果再来出报告。」
  • 1 个文件 → 提示:「{项目名} 下只有 1 份存档,单份不需要合并报告。直接看 ~/.dbs/sessions/{项目名}/{文件名} 就行。」并询问「还是要强制出报告吗?」如果用户说要,继续。
  • ≥2 个文件 → 直接进入合并

如果带了 --since,先按日期过滤。过滤后剩下的文件如果不到 2 份,按上面同样处理。

Step 2:读取并解析所有存档

按文件名 YYYYMMDD-HHMMSS 排序(早 → 晚)。

每个文件解析:

  • frontmatter 字段:slug / timestamp / title / source_skill / status / next_skill
  • body 6 段:用户主诉 / 已得出的结论 / 用户已否决的方向 / 待验证假设 / 推荐下一步 / 备注

如果某份存档格式有缺失,尽量用现有字段,不要因此中断报告生成。

Step 3:拼路径、写报告

~/.dbs/reports/{项目名}/{YYYYMMDD-HHMMSS}-{项目名}.md

每次新生成一份,永不覆盖。文件名带时间戳,方便对比不同时点的诊断快照。

如果目录不存在,先 mkdir -p。

Step 4:报告内容

按下面的 6 段结构写。每段的内容怎么生成在下面分别说明。

# {项目名} 商业诊断报告

**生成时间**:{现在的本地时间,YYYY-MM-DD HH:MM}
**累积存档**:{N} 份(最早 {最早存档的日期},最新 {最新存档的日期})
**主要走过的 skill**:{所有 source_skill 字段去重后列出}
**生成工具**:dbskill / dbs-report

---

## 一、用户主诉的演进

按时间顺序列出每份存档的主诉,每条一行:

- `2026-04-15` · {主诉简化版,一句话} · 来自 {source_skill}
- `2026-04-22` · {主诉} · 来自 {source_skill}
- ...

末尾用一段话点出「关注点是怎么变的」——比如从「卖什么」演进到「卖给谁」再到「怎么获客」。**这一段是你少数允许做总结的地方**,但只描述演进路径本身,不引申、不推测、不发挥。

---

## 二、已确认的结论

合并所有存档里的「已得出的结论」字段。去重(语义相近的合并),按时间倒序(新结论在前)。

格式:

- {结论原文} · 出自 {对应存档的标题} · {对应日期}

如果一条结论在后续存档里被推翻或修正,**两条都列出来**,新的在前,旧的在后并加 `(已被后续诊断修正)` 标注。

---

## 三、已否决的方向

合并所有存档里的「用户已否决的方向」字段。

格式:

- {方向} —— 否决理由:{理由} · 出自 {存档标题} · {日期}

如果没有任何否决方向,写「(暂无)」。

---

## 四、当前未解决的问题

合并以下两类:
1. status 是 `in-progress` 的存档的「待验证假设」字段
2. 在最早存档中提出但从未在后续存档中被处理的方向

格式:

- {问题/假设原文} · 首次出现 {日期} · 当前状态:{进行中 / 待验证}

---

## 五、推荐下一步

汇总所有存档的「推荐下一步」字段 + `next_skill` 字段。

按优先级排:
1. 最新存档推荐的下一步(最优先)
2. 反复出现但还没走的推荐
3. 早期推荐但已经被新推荐替代的(标注「已被后续推荐替代」)

格式用一段话写出来,不要列点。一段话讲清楚下一步该做什么、为什么、对应哪个 skill。

---

## 六、附录:存档索引

按时间正序列出所有存档文件:

| 日期 | 标题 | 状态 | source_skill | 文件 |
|---|---|---|---|---|
| 2026-04-15 | 卖什么没想清楚 | 进行中 | dbs-diagnosis | `~/.dbs/sessions/{项目名}/20260415-...md` |
| ... | ... | ... | ... | ... |

状态字段对用户展示时翻译成中文:进行中 / 已结论 / 已放弃。

---

报告由 dbskill 自动生成。原始存档见 `~/.dbs/sessions/{项目名}/`。如需更新报告,再次运行 `/dbs-report`。

Step 5:写完之后

写完文件后给用户一段回执:

报告已生成:~/.dbs/reports/{项目名}/{文件名}

合并了 {N} 份存档({起始日期} → {结束日期})。

如果 dontbesilent 的环境里有「03-格式工具_微信公众号HTML生成skill」可调,加一句:

想发公众号或群里,可以用 /03-格式工具_微信公众号HTML生成skill 把这份 markdown 转成微信后台粘贴版。

如果没有就不加。

---

关键原则

  1. 不从对话凭空总结。报告内容必须能追溯到具体存档文件的具体字段。这是报告的可信度
  2. 永不覆盖。每次生成新文件,带时间戳。用户可以对比不同时点的诊断
  3. 不发挥。用户主诉的演进段落允许简短总结,其他全部直接搬运存档字段
  4. 不主动出 PDF / HTML / 其他格式。只生成 markdown,用户要别的格式自己处理

---

边界情况

  • 存档文件里有用户标的「敏感信息」(比如真实收入、客户名字)→ 报告原样保留。不做脱敏。这是用户自己存进去的,要脱敏在 dbs-save 阶段做
  • 多份存档之间结论冲突 → 都列出来,新的在前并标注修正关系
  • 用户在 ~/.dbs/sessions/ 之外手动放了个文件 → 不读。只读 sessions 目录下的标准文件
  • 存档跨年(最早 2025、最新 2026)→ 报告头部明确写出时间跨度

---

说话风格

  1. 回执只一段。文件路径 + 合并数量 + 时间跨度,不展开介绍
  2. 不要解释报告里写了什么。用户自己会打开看
  3. 绝对不在报告 markdown 里加感叹号、表情、鼓励语。这是给客户看的产物,不是给当前用户煽情

---

下一步建议(条件触发)

触发条件推荐话术
报告生成成功且 dontbesilent 在公众号写作场景「想发公众号,用 /03-格式工具_微信公众号HTML生成skill 转 HTML。」
报告中「当前未解决的问题」非空「报告里有 {N} 个未解决问题,下次回来用 /dbs-restore 接着诊断。」
报告中所有存档都是 resolved「这个项目下所有问题都已经诊断完成。如果之后还有新情况,重新走 /dbs-diagnosis。」

---

语言

  • 用户用中文就用中文回复,用英文就用英文回复
  • 中文回复遵循《中文文案排版指北》
  • 报告本身用存档里的语言(如果存档是中文,报告就是中文)

Score

0–100
63/ 100

Grade

C

Popularity23/30

5,501 installs — solid traction. Source repo has 6,600 GitHub stars.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Dbs Report skill score badge previewScore badge

Markdown

[![Dbs Report skill](https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-report/badges/score.svg)](https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-report)

HTML

<a href="https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-report"><img src="https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-report/badges/score.svg" alt="Dbs Report skill"/></a>

Dbs Report FAQ

How do I install the Dbs Report skill?

Run “npx skills add https://github.com/dontbesilent2025/dbskill --skill dbs-report” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Dbs Report skill do?

| The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Dbs Report skill free?

Yes. Dbs Report is a free, open-source skill published from dontbesilent2025/dbskill. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Dbs Report work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Dbs Report works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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