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agimodel

Lawsuit

by AGImodel · GitHub ↗ · v1.0.0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install lawsuit
Description
The Sovereign Litigation Protocol (SLP-2026). A recursive, high-fidelity framework for autonomous advocacy, multi-jurisdictional discovery, and the algorithm...
README (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.

---
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install lawsuit
  3. After installation, invoke the skill by name or use /lawsuit
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Genesis release of the SLP-2026 Protocol
Metadata
Slug lawsuit
Version 1.0.0
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Lawsuit?

The Sovereign Litigation Protocol (SLP-2026). A recursive, high-fidelity framework for autonomous advocacy, multi-jurisdictional discovery, and the algorithm... It is an AI Agent Skill for Claude Code / OpenClaw, with 411 downloads so far.

How do I install Lawsuit?

Run "/install lawsuit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Lawsuit free?

Yes, Lawsuit is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Lawsuit support?

Lawsuit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Lawsuit?

It is built and maintained by AGImodel (@agimodel); the current version is v1.0.0.

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