Counterexample-Guided Refinement

SkillDev tools

Implement CEGAR for synthesis and verification workflows

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Counterexample-Guided Refinement skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/computer-science/skills/counterexample-guided-refinement/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on CEGAR (Counterexample-Guided Abstraction Refinement) for verification and synthesis.

Capabilities

Counterexample analysis
Predicate abstraction refinement
Interpolation-based refinement
Abstraction refinement loop management
Convergence analysis
Spurious counterexample detection

Usage Guidelines

Initial Abstraction: Define initial abstraction
Verification: Check abstract model
Counterexample Analysis: Analyze counterexamples
Refinement: Refine abstraction if spurious
Iteration: Repeat until verified or real counterexample

Tools/Libraries

CPAChecker
SeaHorn
BLAST
SLAM

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: counterexample-guided-refinement
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter