What are loop invariants and when should I use them?

Loop invariants are annotations used to guide ESBMC when a loop's bounds are too large or unknown, helping the tool prove correctness where standard bounded checking might time out.

What languages does the ESBMC verification skill support?

The skill supports a wide range of languages including C, C++, Python (3.10+ with type annotations), Solidity, CUDA, and Java/Kotlin (via Soot conversion).

Can ESBMC detect multi-threading issues?

Yes, it includes specialized strategies for concurrency verification, such as deadlock detection and data race checking using context-bounded model checking.

Do I need to install ESBMC separately to use this skill?

Yes, ESBMC must be installed on your system and available in your PATH. The skill will check for a valid installation before attempting to run verification commands.

How does formal verification differ from standard unit testing?

Unlike traditional testing which checks specific inputs, ESBMC uses formal methods to reason about all possible execution paths within a bound, allowing it to prove the absence of certain bug classes.

ESBMC Formal Verification

Name: ESBMC Formal Verification
Author: esbmc

byesbmc

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安全与测试

Verifies code correctness and detects complex bugs using SMT-based formal methods for C, C++, Python, and more.

The ESBMC Verification skill integrates the Efficient SMT-based Context-Bounded Model Checker into Claude Code, enabling developers to mathematically prove the absence of bugs or identify subtle edge cases. It supports a wide range of safety properties, including array bounds, pointer safety, and concurrency issues like deadlocks and race conditions. By utilizing advanced techniques such as k-induction and symbolic execution across multiple languages—including C, C++, Python, Solidity, and CUDA—it provides a rigorous, formal alternative to traditional testing for mission-critical software and security audits.

主要功能

01Multi-language formal verification for C, C++, Python, Solidity, and CUDA

022 GitHub stars

03Concurrency safety auditing for deadlocks and data races

04Automated detection of memory leaks, buffer overflows, and undefined behavior

05Smart solver selection using high-performance backends like Boolector and Z3

06Support for loop invariants and function contracts to scale verification

使用场景

01Verifying complex concurrent logic in multi-threaded systems to prevent race conditions

02Proving the mathematical correctness of security-critical C/C++ memory management

03Identifying logic vulnerabilities and safety violations in Solidity smart contracts

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add esbmc/agent-marketplace esbmc-verification

For use in Claude.ai and ChatGPT

Download Skill