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