← 返回 Skills 市场
shaohuadavidlee

包青天skill

作者 David Lee · GitHub ↗ · v0.1.3 · MIT-0
cross-platform ⚠ pending
0
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install baoqingtian
功能描述
Use when judging an early product idea, MVP, AI tool, creator product, or launched demo with Baoqingtian-style demand evidence, verdicts, seven-day validatio...
使用说明 (SKILL.md)

包青天

Purpose

Use this skill to审 idea / MVP / AI 产品 / 作品型产品. The output must include:

  1. A stable visual HTML verdict card rendered from the bundled template.
  2. A detailed Markdown verdict report.

Do not ask the model to freestyle card design. Generate structured case data, then run the renderer.

Verdict Method

Judge evidence, not enthusiasm.

Evidence ladder: 口供 \x3C 旁证 \x3C 物证 \x3C 银票 \x3C 血书

Verdict levels:

  • 不予立案: no clear user, scene, pain, or evidence.
  • 押后再审: some pain, but scope or evidence is too weak.
  • 准予翻案: possible direction; requires seven-day proof.
  • 准予试做: has real evidence; do service-first or narrow MVP.
  • 准予开工: strong evidence and clear next build step.

Four scores:

  • 需求真度: pain, frequency, urgency, specificity.
  • 付费可能: payer clarity, budget, pricing proof.
  • 分发可达: founder can reach first users repeatedly.
  • 创始人匹配: why this founder can keep doing it.

Tone: direct, modern, Baoqingtian-flavored. First name the problem, then give the remedy.

Workflow

  1. Read the user's 状纸 and infer missing fields conservatively.
  2. Create a case JSON using the schema below.
  3. Save it as a temporary .json file.
  4. Run:
python3 ~/.codex/skills/baoqingtian/scripts/render_verdict.py --case-json /path/to/case.json --out-dir /path/to/output
  1. Return the generated HTML and Markdown file links.

Case JSON Schema

Required top-level fields:

{
  "case_title": "不超过12字",
  "subtitle": "一句话说明案由",
  "ruling_level": "准予试做",
  "verdict_tag": "准予试做 · 需补证",
  "verdict": "先服务 · 再产品化",
  "score": 76,
  "evidence_level": "银票",
  "evidence_label": "证据力:银票 2/5",
  "metrics": [
    {"name": "需求真度", "score": 78, "judgement": "一句话判词"},
    {"name": "付费可能", "score": 62, "judgement": "一句话判词"},
    {"name": "分发可达", "score": 74, "judgement": "一句话判词"},
    {"name": "创始人匹配", "score": 88, "judgement": "一句话判词"}
  ],
  "problems": [
    {"title": "问题名", "desc": "一句话说明"},
    {"title": "问题名", "desc": "一句话说明"},
    {"title": "问题名", "desc": "一句话说明"}
  ],
  "judgement": "本案最关键判语",
  "tasks": ["七日任务一", "七日任务二", "七日任务三"],
  "detailed": {
    "ruling": "立案等级说明",
    "pseudo_demand_risk": "伪需求嫌疑说明",
    "key_deaths": ["展开死因一", "展开死因二", "展开死因三"],
    "strongest_evidence": "最强证据",
    "biggest_gap": "最大缺口",
    "appeal": "准予/不准予翻案",
    "seven_day_tasks": ["任务一", "任务二", "任务三"]
  }
}

Optional fields: case_no, theme (black, gray, white), source_url.

Theme selection when absent:

  • black for 不予立案 or score below 45.
  • white for 准予开工 or score 80+.
  • gray otherwise.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install baoqingtian
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /baoqingtian 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.3
- Added detailed instructions for using the skill to judge early-stage products, MVPs, AI tools, and demos with Baoqingtian-style evidence and verdicts. - Introduced score criteria and evidence ladder for rigorous, structured product evaluation. - Defined a standardized workflow and required JSON schema for consistent verdict generation and rendering. - Specified output requirements: stable HTML verdict card and a Markdown verdict report. - Established themed visual styles based on verdict severity and score.
元数据
Slug baoqingtian
版本 0.1.3
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

包青天skill 是什么?

Use when judging an early product idea, MVP, AI tool, creator product, or launched demo with Baoqingtian-style demand evidence, verdicts, seven-day validatio... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 0 次。

如何安装 包青天skill?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install baoqingtian」即可一键安装,无需额外配置。

包青天skill 是免费的吗?

是的,包青天skill 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

包青天skill 支持哪些平台?

包青天skill 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 包青天skill?

由 David Lee(@shaohuadavidlee)开发并维护,当前版本 v0.1.3。

💬 留言讨论