ai-tool-handoff

Delegate bulk contract clause extraction to AI review tools with trust-level QA.

183|37|Updated May 15, 2026
One-click install
npx skills add https://github.com/zhou210712/claude-for-legal-ZH --skill ai-tool-handoff-zhou210712
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ai-tool-handoff
Source: https://github.com/zhou210712/claude-for-legal-ZH/tree/main/corporate-legal/skills/ai-tool-handoff
Command: npx skills add https://github.com/zhou210712/claude-for-legal-ZH --skill ai-tool-handoff-zhou210712

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reduces the risk and cost of using AI-assisted document extraction tools by detecting when bulk diligence-issue extraction is appropriate, handing the batch to the right tool workflow, and then running a QA layer based on your configured trust level.

Core Features & Use Cases

  • Detects when AI tools should be used: triggers on high-volume extraction contexts such as “交给AI工具”, “批量审查”, “AI提取”, or diligence-issue-extraction for large document categories.
  • Coordinates batch handoff to Luminance/Kira: prepares the batch, specifies extraction targets and importance thresholds, and generates a tool loading request aligned with your local corporate-legal setup.
  • Performs trust-level QA on tool output: applies “direct use”, “sample X%”, or “full manual review for marked items” according to ~/.claude/plugins/config/claude-for-legal/CLAUDE.md, then proceeds to judgment for whether found clauses are actually triggered by the transaction.
  • Prevents incorrect tool scenarios: explicitly avoids handing off when documents are highly negotiated/customized, when the task is about transaction implications rather than existence verification, or when supplemental/interaction-heavy documents may be missed by tools.

Typical use case: You have 200–600 similar client contracts and need to identify whether specific clause types exist (e.g., change-of-control, assignment, exclusivity, most-favored-nation, termination, auto-renewal), then map results into diligence issues and closing checklists with QA.

Quick Start

Ask the assistant to “交给AI工具进行批量审查,提取控制权变更等条款并按 CLAUDE.md 的信任层级做 QA”,同时确保你已完成 corporate-legal 的实务级 CLAUDE.md 配置。

Frequently Asked Questions about ai-tool-handoff

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I safely use AI tools for bulk contract clause extraction during legal diligence?

To delegate bulk clause extraction to AI tools, prepare a batch of similar contracts, specify extraction targets like change-of-control or assignment clauses, and generate a tool loading request aligned with your local corporate-legal CLAUDE.md configuration before running QA.

When should I not use AI tools for contract review?

AI contract review tools should be avoided for highly negotiated or customized documents, tasks analyzing transaction implications rather than clause existence, or interaction-heavy supplemental documents that automated extraction may miss.

How does trust-level QA work for AI-extracted contract clauses?

Trust-level QA validates AI-extracted clauses by applying direct use, percentage sampling, or full manual review for marked items per your CLAUDE.md configuration, then judging whether found clauses are actually triggered by the transaction structure.

Can I use AI extraction for 200 to 600 similar client contracts?

AI extraction is suitable for 200 to 600 similar client contracts when identifying whether specific clause types like change-of-control, assignment, exclusivity, most-favored-nation, termination, or auto-renewal exist, mapping results into diligence issues with QA.