proof-driven

Automates formal verification plans for software features with property-based testing.

5|2|Updated Nov 17, 2025
One-click install
npx skills add https://github.com/OutlineDriven/odin-gemini-cli-extension --skill proof-driven
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proof-driven
Source: https://github.com/OutlineDriven/odin-gemini-cli-extension/tree/main/skills/proof-driven
Command: npx skills add https://github.com/OutlineDriven/odin-gemini-cli-extension --skill proof-driven

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Proof-driven development helps teams ensure software correctness by requiring formal verification and proofs before implementation.

Core Features & Use Cases

  • Guides teams to apply property-based testing and theorem proving during development.
  • Offers reference materials (frameworks, examples, formal-tools) to accelerate verification.
  • Enforces a zero-unproven-property policy to prevent unverified code from entering production.

Quick Start

Define a property to verify for a feature and outline the initial set of properties to test.

Frequently Asked Questions about proof-driven

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

FAQPage Schema
What is proof-driven development and how does it ensure software correctness?

Proof-driven development ensures software correctness by requiring formal verification and theorem proving before implementation. It enforces a zero-unproven-property policy, preventing unverified code from entering production by outlining property categories and validation guidance.

How do I create a formal verification plan for a software feature?

To create a formal verification plan, define a property to verify for a feature and outline the initial set of properties to test. This automates the creation of verification plans, specifying recommended tooling and validation guidance for property-based testing and formal tools.

Does proof-driven verification work for QA teams across different programming languages?

Proof-driven verification applies to software engineers and QA teams across languages when constructing proofs and property-based tests. It offers reference materials like frameworks and formal-tools to accelerate verification regardless of the specific programming language.

What's the difference between property-based testing and formal theorem proving in verification?

Property-based testing validates properties through generated test cases, while formal theorem proving mathematically verifies correctness. Proof-driven development guides teams to apply both during development, enforcing a zero-unproven-property policy to prevent unverified code from entering production.

When do I need to enforce a zero-unproven-property policy in software development?

A zero-unproven-property policy is needed when constructing proofs and property-based tests for requirements in early to late development. It prevents unverified code from entering production by ensuring all software properties undergo formal verification before implementation.