semantic-equivalence-verifier

Name: semantic-equivalence-verifier
Availability: InStock
Author: ArabelaTso

Analyze control flow, data flow, and observable behavior to verify semantic equivalence between code artifacts.

142|14|Updated Feb 14, 2026

Search Tags:#refactoring #formal methods #code comparison #semantic verification #symbolic execution #code equivalence

Ready to run

npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill semantic-equivalence-verifier

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: semantic-equivalence-verifier
Source: https://github.com/ArabelaTso/Skills-4-SE/tree/main/skills/semantic-equivalence-verifier
Command: npx skills add https://github.com/ArabelaTso/Skills-4-SE --skill semantic-equivalence-verifier

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill ensures that two different pieces of code produce the exact same results and exhibit the same behavior, preventing regressions and validating refactoring efforts.

Core Features & Use Cases

Code Comparison: Rigorously compare functions, classes, or modules for semantic equivalence.
Refactoring Validation: Confirm that code changes preserve original functionality.
Migration Verification: Ensure that code ported to a new language or framework behaves identically.
Use Case: After refactoring a complex algorithm, use this Skill to prove that the new version behaves exactly like the old one for all valid inputs, giving you confidence in the change.

Quick Start

Use the semantic-equivalence-verifier skill to compare the function 'calculate_discount_v1' in 'utils.py' with 'calculate_discount_v2' in 'refactored_utils.py'.

Frequently Asked Questions about semantic-equivalence-verifier

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

FAQPage Schema

How do I verify semantic equivalence between two code versions after refactoring?▼

Semantic equivalence verification analyzes control flow, data flow, and observable behavior to prove two code implementations behave identically. It uses formal reasoning and symbolic execution to rigorously compare functions, classes, or modules for all valid inputs.

How can I check if code behaves identically when ported to a new framework?▼

You can check ported code behavior by running a semantic equivalence comparison between the original and migrated modules. This validates that the new framework implementation matches the original behavior by examining data flow and observable outputs.

Can I use symbolic execution to compare two functions for identical behavior?▼

Yes, symbolic execution compares functions for identical behavior by rigorously evaluating execution paths and data flow. This formal reasoning approach ensures both implementations produce the exact same results for valid inputs.

Does semantic verification work for comparing classes and modules or just functions?▼

Semantic verification works for comparing classes and modules, not just functions. It rigorously analyzes control flow and observable behavior across entire code artifacts, ensuring identical behavior across different implementations or versions.

What are the limitations of using formal methods for code comparison?▼

Formal methods for code comparison require rigorous analysis of control flow and data flow, which may be resource intensive for highly complex modules. It ensures identical observable behavior but focuses strictly on semantic equivalence rather than performance metrics.