/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.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install baoqingtian - After installation, invoke the skill by name or use
/baoqingtian - Provide required inputs per the skill's parameter spec and get structured output
What is 包青天skill?
Use when judging an early product idea, MVP, AI tool, creator product, or launched demo with Baoqingtian-style demand evidence, verdicts, seven-day validatio... It is an AI Agent Skill for Claude Code / OpenClaw, with 0 downloads so far.
How do I install 包青天skill?
Run "/install baoqingtian" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 包青天skill free?
Yes, 包青天skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 包青天skill support?
包青天skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 包青天skill?
It is built and maintained by David Lee (@shaohuadavidlee); the current version is v0.1.3.