aia-generation

Generate structured AI impact assessments with regulatory classification and deployment conditions.

Updated Dec 4, 2025
One-click install
npx skills add https://github.com/PolliticalSolutions/political-portal --skill aia-generation-polliticalsolutions
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aia-generation
Source: https://github.com/PolliticalSolutions/political-portal/tree/main/.claude/skills/ai-governance-legal/aia-generation
Command: npx skills add https://github.com/PolliticalSolutions/political-portal --skill aia-generation-polliticalsolutions

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps teams produce a structured, regulator-facing AI impact assessment that explains what an AI system does, who is affected, what risks exist, and what conditions are required for responsible deployment.

Core Features & Use Cases

  • Structured AI impact assessment workflow: Guides risk-track selection, conversational intake, and assessment writing in the house style.
  • Regulatory classification across regimes: Determines applicable regulatory obligations per regime in scope and tags citations by source tier.
  • Policy consistency and conditions: Produces a policy-diff, mitigation/risk framing, and a conditions + handoff checklist for follow-on reviews.

Quick Start

Run the aia-generation skill and describe the AI system or use case you need assessed, such as "AI résumé screening for HR."

Frequently Asked Questions about aia-generation

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

FAQPage Schema
How do I generate an AI impact assessment for a specific use case?

An AI impact assessment is a structured document explaining what an AI system does, who is affected, and what risks exist. It is needed for responsible deployment to determine regulatory obligations and required conditions before launching an AI use case.

How do I document regulatory classification across multiple regimes for AI compliance?

To classify AI risks, the assessment selects a risk track, performs conversational intake on the system, and analyzes impacts. It frames risks and mitigations while producing a conditions checklist with handoff flags for human oversight.

Can I use this to produce a policy consistency diff for AI deployment conditions?

Verification handling ensures the AI impact assessment is source-attributed and sign-off ready. It satisfies house-style formatting requirements and includes uncertainty handling with verification gates before final deployment recommendations.

What is the best way to structure human oversight and handoff flags in an AI impact assessment?

No specific dependencies are required to start an AI impact assessment. You only need to describe your AI system or use case to trigger the workflow, which handles regulatory research, risk analysis, and formatting automatically.