360 Secure SkillHub
360 安全技能中心

Moot Court AI

核心功能是依托书记员、原被告代理律师、审判长4类AI角色，遵循中国民事诉讼流程，通过Lobster确定性编排完成完整民事庭审模拟。典型场景包括法律教学实训、案件推演、庭审预案预演。输入需准备案件相关文件，输出为庭审日志及判决书，使用前需配置指定API密钥。

baobaodawang-creater
baobaodawang-creater
热度 51.42
最近更新 2026-05-11 17:33:46
分类：自动化依赖：第三方 API / 读写文件 / MCP 服务应用场景：法律文档 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add moot-court-ai
Metadata
name
moot-court-ai
description
Simulate a full Chinese civil court hearing with 4 role-based agents (clerk, plaintiff, defendant, judge) orchestrated by deterministic Lobster workflow.
version
1.0.0
metadata
{"openclaw":{"requires":{"env":["DEEPSEEK_API_KEY","DASHSCOPE_API_KEY"],"bins":["openclaw","lobster"]},"primaryEnv":"DEEPSEEK_API_KEY","emoji":"⚖️","homepage":"https://github.com/baobaodawang-creater/moot-court-ai"}}

Moot Court AI

Moot Court AI is an OpenClaw skill that runs a 4-agent Chinese civil court simulation with strict workflow control.

Agent system

  • clerk (书记员): announces opening, checks identity, controls stage transitions.
  • plaintiff (原告代理律师): argues for plaintiff, presents claim and evidence.
  • defendant (被告代理律师): performs three-validity challenges and defense.
  • judge (审判长): stays neutral, summarizes issues, applies legal syllogism, and renders judgment.

Model stack

  • DeepSeek: deepseek-chat, deepseek-reasoner
  • Qwen: qwen-max (DashScope compatible endpoint)

Workflow principle

  • Deterministic orchestration with Lobster.
  • Agent communication follows fixed hearing stages.
  • Process follows Chinese civil procedure order (庭前准备 -> 诉辩交换 -> 举证质证 -> 法庭辩论 -> 最后陈述 -> 宣判).

Installation requirements

You must configure both API keys before running:

  • DEEPSEEK_API_KEY
  • DASHSCOPE_API_KEY

Recommended usage

  1. Prepare case files (case-brief.md, complaint.md, defense.md, evidence folders).
  2. Initialize materials into agent workspaces.
  3. Run moot-court.lobster through OpenClaw/Lobster.
  4. Export judgment and hearing log for review.