invariant-inference
CommunityProve loop correctness with AI.
Software Engineering#formal methods#code verification#assertion generation#program analysis#loop invariants#invariant inference
AuthorArabelaTso
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps developers automatically infer and generate loop invariants, which are crucial for proving code correctness and understanding complex loop behavior.
Core Features & Use Cases
- Automated Invariant Generation: Analyzes loops in Python, Java, and C/C++ to identify properties that hold true throughout execution.
- Assertion Generation: Converts inferred invariants into executable code assertions (e.g.,
assertstatements) for verification. - Use Case: When debugging a complex algorithm with a tricky loop, use this Skill to generate assertions that help pinpoint the exact condition causing incorrect behavior or to formally verify the loop's logic.
Quick Start
Use the invariant-inference skill to generate loop invariants for the provided Python code snippet.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: invariant-inference Download link: https://github.com/ArabelaTso/Skills-4-SE/archive/main.zip#invariant-inference Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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