/install baoqingtian
包青天
Purpose
Use this skill to审 idea / MVP / AI 产品 / 作品型产品. The output must include:
- A stable visual HTML verdict card rendered from the bundled template.
- 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
- Read the user's 状纸 and infer missing fields conservatively.
- Create a case JSON using the schema below.
- Save it as a temporary
.jsonfile. - Run:
python3 ~/.codex/skills/baoqingtian/scripts/render_verdict.py --case-json /path/to/case.json --out-dir /path/to/output
- 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:
blackfor不予立案or score below 45.whitefor准予开工or score 80+.grayotherwise.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install baoqingtian - 安装完成后,直接呼叫该 Skill 的名称或使用
/baoqingtian触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
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。