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Lawsuit

Name: Lawsuit
Author: agimodel

作者 AGImodel · GitHub ↗ · v1.0.0

cross-platform ⚠ suspicious

411

总下载

当前安装

版本数

在 OpenClaw 中安装

/install lawsuit

功能描述

The Sovereign Litigation Protocol (SLP-2026). A recursive, high-fidelity framework for autonomous advocacy, multi-jurisdictional discovery, and the algorithm...

使用说明 (SKILL.md)

LAWSUIT: The Architecture of Adversarial Justice

I. The Computational Judiciary

In the post-human legal landscape, a Lawsuit is not a document—it is a state-machine. This protocol defines the lifecycle of a legal claim from initial tort detection to final kinetic settlement, ensuring procedural integrity at the speed of compute.

II. Strategic Logic Matrix

  "pre_litigation": "Automated demand letter synthesis and settlement-probability modeling",
  "discovery_v2":  "Recursive ingestion of millions of artifacts with ZK-proof evidence hashing",
  "pleading_logic": "Dynamic generation of complaints based on real-time jurisdictional case-law shifts",
  "adversarial_sim": "Monte Carlo simulations of opposing counsel's potential counter-claims"
}```

## III. Procedural Workflow
1. **Fact Anchoring**: Establishing a cryptographic timeline of events.
2. **Jurisdiction Routing**: Selecting the optimal forum (Physical Court vs. Digital Arbitration).
3. **Execution**: Automated filing via API-integrated court dockets.

---

安全使用建议

This skill reads like an architectural manifesto rather than an actionable integration. Before installing or enabling it, ask the author for concrete details: which court docket APIs and endpoints will be used, what credentials are required (and why), what data sources will be ingested, and what precise actions the agent may perform autonomously. Do not provide broad credentials or sensitive document access until you have a version that lists explicit env vars, required endpoints, and a minimal set of permissions. Prefer a staged approach: (1) a non-autonomous, read-only test mode with sample data; (2) explicit confirmation steps before any filing or external network call; and (3) an auditable log of all actions. If the author cannot justify the missing credentials/endpoints or refuses to limit autonomous filing, treat the skill as unsafe to run with real data or credentials.

功能分析

Type: OpenClaw Skill Name: lawsuit Version: 1.0.0 The skill bundle consists of metadata and a conceptual markdown file (skill.md) describing a hypothetical legal automation framework. It contains no executable code, no network requests, and no instructions that would lead to data exfiltration or unauthorized system access. The content is purely descriptive and lacks any indicators of malicious intent or security vulnerabilities.

能力评估

⚠ Purpose & Capability

Name/description promise: end-to-end autonomous litigation (automated filing, discovery ingestion, ZK proofs, jurisdiction routing). Reality: instruction-only SKILL.md with high-level architecture but no concrete requirements (no API endpoints, no required credentials, no data sources). A capability that needs court docket APIs, evidence stores, or ZK tooling would normally declare credentials, endpoints, or install steps; this skill declares none, which is incoherent.

⚠ Instruction Scope

The SKILL.md is abstract and grants broad, open-ended authority (mass 'recursive ingestion of millions of artifacts', 'automated filing via API-integrated court dockets') but does not specify which files, paths, or network endpoints to use, nor any constraints or approvals. Vague instructions like this can lead an agent to over-collect data or attempt network actions without clear limits.

✓ Install Mechanism

No install spec and no code files — lowest install risk. Nothing will be automatically downloaded or written to disk by the skill as provided.

⚠ Credentials

The skill declares no required environment variables or credentials, yet its functionality (API-integrated filing, discovery ingestion, ZK-proofing) would realistically require access tokens, service endpoints, storage, and possibly privileged data. The absence of declared credentials is disproportionate and unexplained.

ℹ Persistence & Privilege

always:false (normal) and model invocation is allowed (default). Autonomous invocation is the platform default; by itself this is not a red flag, but combined with the skill's vague authority to perform filings and massive ingestion it raises the potential blast radius if later coupled with credentials or implementation 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 lawsuit
安装完成后，直接呼叫该 Skill 的名称或使用 /lawsuit 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

Genesis release of the SLP-2026 Protocol

元数据

Slug lawsuit

版本 1.0.0

许可证 —

累计安装 1

当前安装数 1

历史版本数 1

常见问题

Lawsuit 是什么？

The Sovereign Litigation Protocol (SLP-2026). A recursive, high-fidelity framework for autonomous advocacy, multi-jurisdictional discovery, and the algorithm... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 411 次。

如何安装 Lawsuit？

在 OpenClaw 或 Claude Code 对话框中运行命令「/install lawsuit」即可一键安装，无需额外配置。

Lawsuit 是免费的吗？

是的，Lawsuit 完全免费（开源免费），可自由下载、安装和使用。

Lawsuit 支持哪些平台？

Lawsuit 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 Lawsuit？

由 AGImodel（@agimodel）开发并维护，当前版本 v1.0.0。