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aia-generation

Generate a draft AI Impact Assessment with regulatory classifications and conditions.

Updated May 28, 2026
Search Tags:#ai#compliance#risk-analysis#ai-governance#impact-assessment#regulatory-footprint
One-click install
npx skills add https://github.com/gtgspot/clegal --skill aia-generation-gtgspot
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: aia-generation
Source: https://github.com/gtgspot/clegal/tree/main/ai-governance-legal/skills/aia-generation
Command: npx skills add https://github.com/gtgspot/clegal --skill aia-generation-gtgspot

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps legal and governance teams perform a consistent, defensible AI Impact Assessment (AIA) that structures intake, risk analysis, regulatory footprint classification per regime in scope, policy consistency checks, and actionable recommendations with conditions.

Core Features & Use Cases

  • Structured intake and risk analysis tailored to AI governance workflows.
  • Regulatory footprint classification with regime-specific risk tiers and citations.
  • Policy consistency diffs against the seed house style to ensure uniform governance language.
  • Generated handoff-ready recommendations, including conditions and owner assignments for deployment.

Quick Start

Kick off by providing the AI system details and trigger the generation of a draft AIA for governance review.

Frequently Asked Questions about aia-generation

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

FAQPage Schema
How do I perform an AI Impact Assessment for governance and compliance?▼

An AI Impact Assessment structures intake, risk tracking, and regulatory footprint classification per regime in scope to identify and mitigate AI governance risks. This generates a draft AIA with conditions and handoff flags for review.

What is regulatory footprint classification in AI risk analysis?▼

Regulatory footprint classification maps an AI system against specific regimes in scope to assign risk tiers and citations. This mechanism ensures the impact assessment accurately reflects multi-regime compliance requirements.

How do I generate handoff-ready recommendations for AI deployment?▼

To generate handoff-ready recommendations, the AI risk assessment performs policy consistency checks against a seed house style and outputs conditioned recommendations with assigned owners for deployment review.

Can I check AI governance policy consistency against a house style?▼

Yes, policy consistency diffs are checked against a seed house style defined in CLAUDE.md to ensure uniform governance language. This enforces specific formatting and citation rules throughout the draft AIA.

What do I need to provide to start an AI risk assessment?▼

You need to provide the AI system details to trigger the generation of a draft AIA. The structured intake process then uses these details to perform risk analysis and classify the regulatory footprint.

Are there limitations to using a structured AIA for AI governance?▼

The structured AIA outputs a draft for governance review with conditions and handoff flags rather than a final automated approval. It requires legal teams to manually verify the conditioned recommendations and assigned owners before deployment.

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