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Moot Court AI
作者
baobaodawang-creater
· GitHub ↗
· v1.0.0
· MIT-0
239
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install moot-court-ai
功能描述
Simulate a full Chinese civil court hearing with 4 role-based agents (clerk, plaintiff, defendant, judge) orchestrated by deterministic Lobster workflow.
安全使用建议
This skill is plausible but incomplete. Before installing or providing API keys: (1) confirm the referenced 'moot-court.lobster' workflow exists and inspect it (the skill bundle does not include it); (2) verify the GitHub homepage and author to ensure the workflow is legitimate; (3) understand what local files the agents will read — do not place secrets in case files; (4) limit the API keys’ permissions or use dedicated/test keys for DeepSeek/DashScope; (5) run the skill in an isolated environment if you must test it. If the maintainer can supply the missing lobster workflow and a clear runbook, re-evaluate; otherwise treat this package as incomplete and proceed cautiously.
功能分析
Type: OpenClaw Skill
Name: moot-court-ai
Version: 1.0.0
The moot-court-ai skill bundle is a simulation tool for Chinese civil court proceedings using a multi-agent workflow. The provided files (SKILL.md and _meta.json) describe a legitimate orchestration of agents (clerk, judge, etc.) using the Lobster workflow engine and standard LLM providers (DeepSeek, Qwen). No malicious code, data exfiltration, or suspicious prompt-injection instructions were identified.
能力评估
Purpose & Capability
Name/description describe a Lobster-orchestrated 4-agent simulation and require openclaw + lobster binaries and two model API keys, which is coherent; however the SKILL.md references running a 'moot-court.lobster' workflow and deterministic Lobster orchestration while no workflow file or runtime artifacts are included in the skill bundle. That omission makes the skill incomplete and undermines the claim it will provide the orchestration.
Instruction Scope
Instructions expect the user to prepare case files and 'initialize materials into agent workspaces', then run the lobster workflow. This reasonably implies the agent will read user-supplied files (case briefs, complaints, evidence). The instructions are otherwise high-level and do not ask for unrelated system data, but they are vague about where the lobster file comes from and how agent workspaces are populated.
Install Mechanism
There is no install script (instruction-only), so nothing is written to disk by the skill itself. This is low-risk from an install perspective, but it increases reliance on external files and binaries being present and correct.
Credentials
The two required env vars (DEEPSEEK_API_KEY, DASHSCOPE_API_KEY) match the declared model stack (DeepSeek and a DashScope-compatible Qwen endpoint). Requesting two model keys is proportionate to a multi-model orchestration; no unrelated credentials are requested.
Persistence & Privilege
The skill does not request always: true and declares no config paths. Autonomous invocation is allowed (default) but not combined with elevated persistence or cross-skill config changes.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install moot-court-ai - 安装完成后，直接呼叫该 Skill 的名称或使用
/moot-court-ai触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release: 4-agent Chinese civil court simulation
元数据
常见问题
Moot Court AI 是什么？
Simulate a full Chinese civil court hearing with 4 role-based agents (clerk, plaintiff, defendant, judge) orchestrated by deterministic Lobster workflow. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 239 次。
如何安装 Moot Court AI？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install moot-court-ai」即可一键安装，无需额外配置。
Moot Court AI 是免费的吗？
是的，Moot Court AI 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Moot Court AI 支持哪些平台？
Moot Court AI 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Moot Court AI？
由 baobaodawang-creater（@baobaodawang-creater）开发并维护，当前版本 v1.0.0。
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