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Counterexample guided refinement

Skill a5c-ai/babysitter/library/specializations/domains/science/computer-science/skills/counterexample-guided-refinement

Implement CEGAR for synthesis and verification workflowsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill counterexample-guided-refinement

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SKILL.md

1.3 KB, 161 tokens by cl100k_base, as published. Nobody here has run it

Counterexample-Guided Refinement

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

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

Tools/Libraries

  • CPAChecker
  • SeaHorn
  • BLAST
  • SLAM

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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