counterexample-generator

Automated search for counterexamples to mathematical conjectures

509 stars

Best use case

counterexample-generator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Automated search for counterexamples to mathematical conjectures

Teams using counterexample-generator should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/counterexample-generator/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/mathematics/skills/counterexample-generator/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/counterexample-generator/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How counterexample-generator Compares

Feature / Agentcounterexample-generatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automated search for counterexamples to mathematical conjectures

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Counterexample Generator

## Purpose

Provides automated search capabilities for finding counterexamples to mathematical conjectures and validating proof attempts.

## Capabilities

- Random testing with intelligent sampling
- SMT-based counterexample search
- Quickcheck-style property testing
- Boundary case enumeration
- Finite model finding (Nitpick, Quickcheck)

## Usage Guidelines

1. **Property Specification**: Define testable properties formally
2. **Sampling Strategy**: Choose appropriate random distributions
3. **Constraint Solving**: Use SMT for structured search
4. **Boundary Testing**: Exhaustively check small cases

## Tools/Libraries

- Z3
- CVC5
- Quickcheck
- Nitpick

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