Moot Court AI

OpenClaw 技能，通过 Lobster 确定性编排书记员、原告、被告、审判长四个角色代理，按庭前准备、诉辩交换、举证质证、法庭辩论、最后陈述、宣判的固定阶段模拟中国民事庭审，使用 DeepSeek 与通义千问模型，运行前需配置两个 API Key，最终导出判决书与庭审日志供复盘。

热度 51.29

最近更新 2026-05-11 17:33:46

分类：知识依赖：内部调用大模型 / 第三方 API / 读写文件应用场景：法律文档 / 教学辅导 / 工作流 / 报告撰写

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

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.

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).

You must configure both API keys before running:

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