formal

Automate formal verification of specifications and implementations using Z3, TLC, and Python.

15|1|Updated Oct 15, 2018
One-click install
npx skills add https://github.com/music-brain88/dotfiles --skill formal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: formal
Source: https://github.com/music-brain88/dotfiles/tree/main/.config/skills/formal
Command: npx skills add https://github.com/music-brain88/dotfiles --skill formal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z3, tlaplus, python, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the verification of formal specifications and implementations using formal methods like Z3, full enumeration, and TLA+, making it easier to ensure correctness and identify discrepancies between specifications and implementations.

Core Features & Use Cases

  • Formal Verification: Validates specifications and implementations against formal models.
  • Bug Detection: Identifies bugs and discrepancies between specifications and implementations.
  • Use Case: Ideal for verifying the correctness of complex systems, such as concurrent processes or distributed systems, and for identifying discrepancies in documentation and code.

Quick Start

Run the formal skill with the target specification or implementation file, e.g., /formal wt.md.

Frequently Asked Questions about formal

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

FAQPage Schema
How do I automate formal verification for concurrent and distributed system specifications?

This Skill automates formal verification for concurrent and distributed systems by validating your specification and implementation files against formal models using Z3, full enumeration, and TLA+.

What is the best way to find discrepancies between a formal specification and its implementation?

To find discrepancies, run automated formal verification against your target files; this Skill compares implementations against formal specifications to identify bugs, mismatches, and documentation inconsistencies.

Do I need Z3 and Python installed to run TLA+ specification verification?

Yes, executing formal verification requires Z3, TLC, and Python installed in your environment, as these dependencies provide the constraint solving and model checking engines needed to validate specifications.

Can I use formal methods to verify the correctness of distributed computing processes?

Yes, formal methods are applied here specifically to verify the correctness of complex systems, targeting concurrent processes and distributed computing architectures to ensure system behavior matches specifications.

How does formal specification validation with Z3 and TLA+ actually work?

Formal specification validation works by applying Z3 for constraint solving and TLA+ for exhaustive model checking, mathematically proving whether an implementation satisfies the defined behavioral specifications.

What are the limitations of using automated formal verification for complex systems?

Limitations include the strict dependency on having Z3, TLC, and Python correctly configured, and the need to translate complex distributed systems into precise formal models before verification can execute.