Counterexample-Guided Refinement
SkillDev toolsImplement CEGAR for synthesis and verification workflows
Use Counterexample-Guided Refinement in Claude, ChatGPT or Ahel Desktop
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Then ask your AI: use the Counterexample-Guided Refinement skill
Details
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.
No other account needed.
Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
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
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
counterexample-guided-refinement- Source
- github.com/a5c-ai/babysitter
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