skill-model-checker

Develop modular semantic theories with ModelChecker and Z3 SMT solver.

13|3|Updated Dec 12, 2023

Search Tags:#research #formal verification #model checker #semantic theories #z3 solver #logic programming

Ready to run

npx skills add https://github.com/benbrastmckie/ModelChecker --skill skill-model-checker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: skill-model-checker
Source: https://github.com/benbrastmckie/ModelChecker/tree/main/.claude_OLD/skills/skill-model-checker
Command: npx skills add https://github.com/benbrastmckie/ModelChecker --skill skill-model-checker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the complex process of researching, developing, and testing modular semantic theories using the ModelChecker framework and the Z3 SMT solver.

Core Features & Use Cases

Theory Development: Define new logical operators and frame constraints.
Testing & Validation: Run unit and integration tests, generate countermodels, and verify theorems.
Use Case: A researcher needs to explore a new modal logic. They can use this Skill to define its operators, test its properties against known examples, and automatically generate countermodels for invalid inferences.

Quick Start

Use the /mc command to start developing semantic theories with ModelChecker.

Frequently Asked Questions about skill-model-checker

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

FAQPage Schema

How do I develop and test semantic theories using the Z3 solver?▼

You can develop and test semantic theories by defining logical operators and frame constraints, then running tests with the Z3 SMT solver to verify theorems and generate countermodels for invalid inferences.

Can I automatically generate countermodels for modal logic inferences?▼

Yes, generating countermodels for invalid inferences is supported. You can define modal logic operators, test their properties against known examples, and automatically produce countermodels to validate theory behavior.

What is the best way to define new logical operators for formal verification?▼

The best way to define new logical operators for formal verification is to specify them within a modular semantic theory framework, adjusting frame constraints and running integration tests to validate their behavior.

Do I need to install the ModelChecker framework separately to use this?▼

The Skill operates using the ModelChecker framework and Z3 SMT solver to facilitate theory development. It is invoked through the /mc command to start defining operators and running model-checker specific tasks.

How does formal verification with an SMT solver handle frame constraints?▼

Formal verification with an SMT solver processes frame constraints by translating your modular semantic theory into logical expressions, allowing you to test properties and analyze theorem results or countermodels.

Why use modular semantic theories for logic programming research?▼

Modular semantic theories streamline logic programming research by allowing you to independently define operators and constraints, making it easier to test specific properties and isolate invalid inferences during development.