danghuangshang is a multi-agent collaboration system that organizes specialized AI agents into a hierarchy modeled on historical Chinese government institutions. Users delegate tasks to these agents through platforms such as Discord or Feishu, with roles for coordination, coding, review, memory, and automation. Its catalogue entries are the project's agents and skills.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add wanikua/danghuangshang --skill ai-court-skillgit clone --depth 1 https://github.com/wanikua/danghuangshangWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/wanikua/danghuangshang/ai-court-skill)<a href="https://agentmods.dev/skills/wanikua/danghuangshang/ai-court-skill"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/ai-court-skill/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/wanikua/danghuangshang/ai-court-skill"><img src="https://agentmods.dev/badge/skills/wanikua/danghuangshang/ai-court-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00020 | $0.00511 |
| Opus 5 | $0.00010 | $0.00255 |
| Sonnet 5 | $0.00004 | $0.00102 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
ai-court scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
AI Court | 当皇上
一行命令起王朝，三省六部皆 AI。
安装
clawdhub install ai-court
使用
1. 选择制度
明朝内阁制（推荐）：
cd ~/.openclaw && cp -r clawd/skills/ai-court/configs/ming-neige/* .
唐朝三省制：
cd ~/.openclaw && cp -r clawd/skills/ai-court/configs/tang-sansheng/* .
现代企业制：
cd ~/.openclaw && cp -r clawd/skills/ai-court/configs/modern-ceo/* .
2. 选择 IM 平台
飞书（国内推荐）⭐
cd ~/.openclaw && cp -r clawd/skills/ai-court/configs/feishu/* .
配置飞书凭证：
- App ID 和 App Secret
- 详见
references/feishu-setup.md
Discord（国际推荐）
cd ~/.openclaw && cp -r clawd/skills/ai-court/configs/ming-neige/* .
配置 Discord Bot Token：
- 详见
references/discord-setup.md
3. 配置 API Key
{
"models": {
"providers": {
"dashscope": {
"apiKey": "sk-your-api-key"
}
}
}
}
4. 验证安装
bash clawd/skills/ai-court/scripts/doctor.sh
5. 启动
openclaw start
IM 平台对比
| 平台 | 适用场景 | 优势 |
|---|---|---|
| 飞书 | 国内用户、企业团队 | 无需翻墙、WebSocket 长连接 |
| Discord | 国际用户、开源社区 | 功能强大、机器人生态好 |
链接
What ships with it
23 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .clawdhubignore 29 B
- configs/feishu/agents/bingbu.md 224 B
- configs/feishu/agents/duchayuan.md 910 B
- configs/feishu/agents/gongbu.md 215 B
- configs/feishu/agents/guozijian.md 128 B
- configs/feishu/agents/hanlin_bianxiu.md 246 B
- configs/feishu/agents/hanlin_jiantao.md 265 B
- configs/feishu/agents/hanlin_shujishi.md 238 B
- configs/feishu/agents/hanlin_xiuzhuan.md 244 B
- configs/feishu/agents/hanlin_zhang.md 418 B
- configs/feishu/agents/hubu.md 209 B
- configs/feishu/agents/libu.md 164 B
- configs/feishu/agents/libu2.md 167 B
- configs/feishu/agents/neige.md 1.2 KB
- configs/feishu/agents/neiwufu.md 137 B
- configs/feishu/agents/qijuzhu.md 149 B
- configs/feishu/agents/silijian.md 2.4 KB
- configs/feishu/agents/taiyiyuan.md 131 B
- configs/feishu/agents/xingbu.md 206 B
- configs/feishu/agents/yushanfang.md 143 B
- configs/feishu/README.md 740 B
- references/feishu-setup.md 3.7 KB
- scripts/doctor.sh 1.9 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 90 lines · 20 tokens per session scan A 991d6cd1a522
ai-court is a skill published in the GitHub repository wanikua/danghuangshang (2,700 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 511 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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