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jrhueiueng
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cold-start-interview

Configures an AI governance practice profile via a structured cold-start interview.

Updated May 19, 2026
Search Tags:#claude.md#impact assessment#policy configuration#ai governance#vendor ai review#mcp connectors#triage red lines
One-click install
npx skills add https://github.com/jrhueiueng/codex-for-legal --skill cold-start-interview-jrhueiueng
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: cold-start-interview
Source: https://github.com/jrhueiueng/codex-for-legal/tree/main/plugins/jrhueiueng/codex-for-legal/skills/ai-governance-legal__cold-start-interview
Command: npx skills add https://github.com/jrhueiueng/codex-for-legal --skill cold-start-interview-jrhueiueng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of getting a new AI-governance workflow configured correctly when you are missing (or have only placeholder) practice-profile details needed for consistent triage, impact assessments, and vendor AI review.

Core Features & Use Cases

  • Guided cold-start onboarding: runs a structured interview to learn your AI governance role, practice setting, and operating context so outputs follow your actual posture rather than generic defaults.
  • Policy and agreement extraction: extracts commitments, prohibitions, governance tiers, red lines, and approved/prohibited tool guidance from your AI/acceptable use policy, impact assessment, and key vendor AI agreements.
  • Integration verification: rescans configured MCP connectors via a dedicated mode and updates the integrations table, reporting success only when calls actually work.

Quick Start

Run /ai-governance-legal:cold-start-interview to collect your policy, assessment, and vendor agreement inputs and write your AI governance practice profile into the plugin configuration.

Frequently Asked Questions about cold-start-interview

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

FAQPage Schema
How do I set up AI governance from scratch when missing policy and vendor agreement details?▼

To set up AI governance from scratch, run a cold-start interview that extracts commitments, prohibitions, and red lines from your AI policy, impact assessment, and vendor agreements to generate a ready-to-use CLAUDE.md configuration.

What is a cold-start interview for AI governance configuration?▼

A cold-start interview for AI governance is a structured onboarding process that learns your governance role and practice setting to produce a practice profile replacing generic defaults with your actual operating posture.

How do I verify MCP connectors are working before updating the AI governance integration table?▼

To verify MCP connectors, run a dedicated rescan mode that tests configured connectors via actual MCP tool calls, updating the integration table to mark connectors as connected only after successful execution.

Can I use placeholder markers in my AI governance practice profile during onboarding?▼

You can use placeholder markers in your AI governance practice profile during initial setup, but the cold-start interview identifies these scaffolding templates and overwrites them with extracted policy details and verified connector data.

Does the AI governance onboarding process support pausing and resuming the policy extraction interview?▼

The AI governance onboarding process supports pause and resume handling during the cold-start interview, allowing you to halt policy extraction and integration verification without losing previously collected configuration data.

When should I refresh the AI governance configuration after adding new MCP connectors?▼

You should refresh the AI governance configuration during integration updates when new MCP connectors are added, triggering a rescan that verifies tool calls and updates the integrations table with successful connection statuses.

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