skills.rest
sancovp
sancovpCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

prove-or-disprove-property-from-code

Analyze code constructs to prove or disprove mathematical property instantiations.

Updated Jun 8, 2026
Search Tags:#code analysis#codebase#mathematical proof#mathematical property#construct analysis
One-click install
npx skills add https://github.com/sancovp/doc-mirror --skill prove-or-disprove-property-from-code
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prove-or-disprove-property-from-code
Source: https://github.com/sancovp/doc-mirror/tree/main/skills/doc-mirror-prompts/resources/prompts/research/proof/prove-or-disprove-property-from-code
Command: npx skills add https://github.com/sancovp/doc-mirror --skill prove-or-disprove-property-from-code

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill helps to automatically prove or disprove a mathematical property that a code construct instantiates.

Core Features & Use Cases

  • Mathematical Proof Generation: Automatically generate a proof for a mathematical property that a code construct satisfies.
  • Code Analysis: Analyze the code construct to deduce the mathematical structure it instantiates.
  • Use Case: If you have a code construct and you want to know whether it satisfies a specific mathematical property (like a Scott domain), use this Skill to get an automated proof or disproof.

Quick Start

Use the skill 'prove-or-disprove-property-from-code' to check if the code construct in 'module1.py' satisfies the property of being a Scott domain.

Frequently Asked Questions about prove-or-disprove-property-from-code

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

FAQPage Schema
How do I automatically prove a mathematical property from source code constructs?▼

To prove a mathematical property from source code, this Skill analyzes your codebase constructs to deduce their mathematical structure and automatically generates a formal proof or disproof of property instantiation.

What is the process for checking if code satisfies a specific mathematical property like a Scott domain?▼

Checking if code satisfies a mathematical property involves analyzing the code construct's structure to deduce its mathematical instantiation, which then allows the system to verify properties like a Scott domain automatically.

Can I analyze real-world codebases to deduce their underlying mathematical structure?▼

Yes, you can analyze real-world codebases to deduce mathematical structure by examining code constructs, enabling the automated verification of whether they instantiate specific mathematical properties.

Does this automated code analysis tool work without external dependencies?▼

Yes, this code analysis tool works without external dependencies, allowing you to independently verify mathematical properties directly from your codebase constructs.

What are the limitations of automatically disproving mathematical properties in code constructs?▼

The limitations of disproving mathematical properties depend on the complexity of your code structure; it requires in-depth analysis of both the codebase constructs and the underlying mathematical principles to ensure accurate results.

Related Skills

Explore More Software Engineering Skills→
NikhilVijayakumarNikhilVijayakumar

journal-math-extractor

Convert mathematical logic in source code into LaTeX equations.

Community
Intermediate
nicholls-incnicholls-inc
5

lean-spec

Convert signed-off informal verification specs into type-checked Lean 4 stubs.

Official
Advanced
opensage-agentopensage-agent
113

get-caller

Identify direct and indirect callers of functions using Neo4j callgraph data.

Official
Intermediate
pauljbernardpauljbernard
5

Formal Proof Construction

Construct rigorous mathematical proofs for undecidability and security lower bounds.

Community
Advanced