ai-causal-deontic

Name: ai-causal-deontic
Availability: InStock
Author: r-irbe

Formalize causal reasoning and deontic logic in Lean 4 workflows.

2|Updated May 26, 2026

Search Tags:#counterfactuals #ai-governance #lean-4 #causal-reasoning #deontic-logic #causal-models

Ready to run

npx skills add https://github.com/r-irbe/proof-skills --skill ai-causal-deontic

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ai-causal-deontic
Source: https://github.com/r-irbe/proof-skills/tree/main/skills/ai-causal-deontic
Command: npx skills add https://github.com/r-irbe/proof-skills --skill ai-causal-deontic

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Formal frameworks for causal reasoning, counterfactual analysis, and deontic logic for AI systems enable rigorous modeling of causes, effects, and normative requirements in Lean 4 workflows.

Core Features & Use Cases

Pearl's causal hierarchy, structural causal models, and do-calculus for AI reasoning.
Deontic logic and normative rules for AI governance, safety, and policy encoding.
Lean-4 encoding patterns and handoff workflows to related skills for integrated proofs and policy mapping.

Quick Start

Describe a concrete AI scenario and request Lean encoding guidance using the recommended causal-deontic framework.

Frequently Asked Questions about ai-causal-deontic

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

FAQPage Schema

How do I encode structural causal models in Lean 4?▼

Encode structural causal models in Lean 4 using provided formal frameworks for Pearl's causal hierarchy and do-calculus to model AI reasoning. Describe a concrete AI scenario and request encoding guidance to generate structural proofs.

What is deontic logic for AI governance and how does it work?▼

Deontic logic for AI governance formalizes normative rules and obligations to ensure AI safety and policy compliance. It works by encoding legal-ethical requirements into normative systems within Lean 4 workflows.

How do I perform counterfactual analysis for AI systems?▼

Perform counterfactual analysis for AI systems by simulating interventions using structural causal models. This Skill provides formal frameworks to reason about causes and effects through counterfactual simulation in Lean 4.

Can I use Lean 4 to formalize AI policy and ethical rules?▼

Yes, you can use Lean 4 to formalize AI policy and ethical rules by applying deontic logic and normative systems. The Skill provides encoding patterns to map legal-ethical requirements into integrated proofs.

Does this approach support interventional reasoning for AI safety?▼

Yes, interventional reasoning for AI safety is supported through Pearl's causal hierarchy and do-calculus. The framework enables rigorous modeling of interventions and their effects within structural causal models.

What are the limitations of using deontic logic for AI governance?▼

Deontic logic for AI governance requires Lean 4-encoded guidance and clear handoffs to related skills for downstream integrations. Complex legal-ethical rule formalization may need workflow mappings for integrated policy proofs.