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harrylabsj

Legal Settlement Evaluation Framework

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
51
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Install in OpenClaw
/install legal-settlement-evaluation-framework
Description
Provides structured checklists and templates to evaluate legal settlement options considering exposure, evidence, costs, timing, and non-monetary terms.
README (SKILL.md)

Legal Settlement Evaluation Framework

Overview

Helps evaluate settlement options using exposure, evidence strength, litigation cost, non-monetary terms, timing, and uncertainty. This is a descriptive OpenClaw skill for legal-industry workflow support. It provides structured frameworks, checklists, templates, and issue-spotting prompts. It does not execute code, call external APIs, access legal databases, retrieve court records, automate filings, or perform legal services.

When to Use

  • Assessing settlement offers
  • Preparing client recommendation memos
  • Comparing litigation versus resolution options

Target Users

  • Litigators
  • In-house counsel
  • Claims teams
  • Business stakeholders

Inputs to Collect

  • Matter or project context, including jurisdiction if known
  • Relevant facts, documents, parties, dates, and constraints
  • Desired output format, audience, and level of detail
  • Known deadlines, risk concerns, or review priorities

Core Modules

  1. Exposure and damages range table — provides structured prompts, checklists, and review fields for this area.
  2. Evidence strength factors — provides structured prompts, checklists, and review fields for this area.
  3. Cost/time/risk comparison — provides structured prompts, checklists, and review fields for this area.
  4. Non-monetary term checklist — provides structured prompts, checklists, and review fields for this area.
  5. Decision memo template — provides structured prompts, checklists, and review fields for this area.

Workflow

  1. Confirm the user's legal workflow goal and the relevant practice context.
  2. Ask for missing facts, documents, dates, parties, jurisdiction, and audience where needed.
  3. Apply the modules below as a structured thinking framework.
  4. Produce checklists, templates, matrices, memos, or planning aids tailored to the user's context.
  5. Flag uncertainty, verification needs, deadlines, ethics concerns, confidentiality issues, and attorney-review points.

Expected Outputs

  • Settlement evaluation matrix
  • Risk-adjusted comparison
  • Client recommendation outline
  • Open issues list

Example Prompts

  • "Build a settlement evaluation matrix for a contract dispute."
  • "Help compare accepting an offer versus continuing litigation."

Safety and Legal Limitations

  • This skill provides informational workflow support only and is not legal advice.
  • It does not create an attorney-client relationship and does not replace review by a qualified attorney.
  • Laws, court rules, deadlines, ethics duties, privilege, confidentiality, and professional responsibility rules vary by jurisdiction and matter.
  • Users must verify all legal authorities, filing requirements, deadlines, facts, citations, and strategic decisions with qualified counsel.
  • The skill must not be used to fabricate evidence, coach false testimony, evade regulation, access data unlawfully, or bypass confidentiality obligations.
  • Specific limitation for this skill: Does not predict court outcomes or advise acceptance; final settlement decisions require attorney-client analysis.

Acceptance Criteria

  • Package is descriptive only: no handler.py, scripts, external APIs, network calls, or command execution.
  • SKILL.md and README.md are English-first and include an explicit legal-information disclaimer.
  • Outputs are frameworks, checklists, templates, or planning aids rather than legal conclusions.
  • Includes target users, when-to-use guidance, inputs, workflow, outputs, examples, and safety limitations.
  • skill.json contains unique slug, tags, trigger keywords, requires_api=false, and readiness=stable.
Usage Guidance
This package is internally consistent and appears to be a safe, document-only framework for evaluating settlements. Before installing or invoking it, consider: (1) Do not paste privileged or confidential client documents into the skill — treat outputs as informational and verify with counsel; (2) remember the skill is not legal advice and you should confirm jurisdiction-specific rules and deadlines with an attorney; (3) because the skill can be invoked by the agent (disable-model-invocation=false), consider whether you want to allow autonomous use in agents that access confidential matter data; disable autonomous invocation if you prefer manual control; (4) monitor future versions or edits to ensure no code or external endpoints are added (the acceptance criteria forbid handlers/scripts — confirm updates respect that). Overall, the package looks coherent with its stated purpose.
Capability Analysis
Type: OpenClaw Skill Name: legal-settlement-evaluation-framework Version: 1.0.0 The skill bundle is a purely descriptive framework for legal settlement evaluation and contains no executable code, scripts, or external API dependencies. It adheres to the 'descriptive' type requirements defined in SKILL.md and skill.json, providing only structured prompts and templates for an AI agent to follow, with explicit legal disclaimers and no evidence of malicious intent, data exfiltration, or prompt injection attacks.
Capability Assessment
Purpose & Capability
Name, description, README, SKILL.md, and skill.json all describe a purely descriptive legal-workflow aid. No binaries, env vars, or external APIs are declared or required, which is proportionate to producing checklists and templates.
Instruction Scope
SKILL.md instructs the agent to solicit facts from the user and produce frameworks, checklists, matrices, and memos. It explicitly disclaims code execution, external API calls, database access, or automated filings. It does not direct the agent to read system files, env vars, or send data to unexpected endpoints.
Install Mechanism
No install spec and no code files are present (instruction-only). That minimizes on-disk risk and matches the acceptance criteria requiring a descriptive-only package.
Credentials
The skill requests no environment variables, credentials, or config paths. There are no secret-like names or unrelated credential requests in the package metadata or SKILL.md.
Persistence & Privilege
Flags are default: always=false and disable-model-invocation=false (normal). The skill does not request persistent presence, nor does it attempt to modify other skills or system settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install legal-settlement-evaluation-framework
  3. After installation, invoke the skill by name or use /legal-settlement-evaluation-framework
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: document-only legal workflow skill.
Metadata
Slug legal-settlement-evaluation-framework
Version 1.0.0
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Legal Settlement Evaluation Framework?

Provides structured checklists and templates to evaluate legal settlement options considering exposure, evidence, costs, timing, and non-monetary terms. It is an AI Agent Skill for Claude Code / OpenClaw, with 51 downloads so far.

How do I install Legal Settlement Evaluation Framework?

Run "/install legal-settlement-evaluation-framework" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Legal Settlement Evaluation Framework free?

Yes, Legal Settlement Evaluation Framework is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Legal Settlement Evaluation Framework support?

Legal Settlement Evaluation Framework is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Legal Settlement Evaluation Framework?

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

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