How does the skill handle contract violations?

It classifies violations into Preconditions (caller error), Postconditions (callee error), and Invariants (state error), providing specific remediation strategies to fix the root cause.

What is the 'Verification Hierarchy' used by this skill?

The hierarchy prioritizes static assertions and compile-time checks first, followed by test-only contracts, and finally runtime contracts for production enforcement and untrusted data.

Does Design-by-Contract replace unit testing?

No, it complements unit testing by providing continuous verification of logic during execution, ensuring that assumptions and guarantees are met in real-time or at compile-time.

What programming languages does this skill support?

The skill supports over 8 languages, with detailed implementation patterns for Rust (contracts crate), TypeScript (Zod), Python (icontract), Java/Kotlin, and C++ (GSL/Boost).

Design-by-Contract Development

Name: Design-by-Contract Development
Author: Microck

byMicrock

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보안 및 테스팅

Implements formal contract verification using preconditions, postconditions, and invariants to ensure code correctness across multiple programming languages.

소개

This skill provides a comprehensive framework for Design-by-Contract (DbC) development, enabling developers to define formal specifications that govern component behavior. It automates the entire lifecycle—from planning predicates and generating language-specific annotations for Rust, TypeScript, Python, and more, to runtime verification and targeted remediation. By prioritizing a rigorous hierarchy of static assertions over runtime checks, it helps maintain system integrity, simplifies debugging, and documents public API boundaries with formal logic to prevent regression and state corruption.

주요 기능

Sophisticated verification hierarchy prioritizing static compile-time checks
Automated generation of preconditions, postconditions, and invariants
Targeted debugging strategies for rapid contract violation remediation
Standardized PLAN-CREATE-VERIFY-REMEDIATE workflow methodology
Multi-language support for Rust, TypeScript, Python, Java, and C++
81 GitHub stars

사용 사례

Maintaining object state consistency in complex business logic and state machines
Securing public API boundaries with strict formal input validation
Formalizing behavioral expectations and documentation for cross-team integrations

소개

주요 기능

Sophisticated verification hierarchy prioritizing static compile-time checks
Automated generation of preconditions, postconditions, and invariants
Targeted debugging strategies for rapid contract violation remediation
Standardized PLAN-CREATE-VERIFY-REMEDIATE workflow methodology
Multi-language support for Rust, TypeScript, Python, Java, and C++
81 GitHub stars

사용 사례

Maintaining object state consistency in complex business logic and state machines
Securing public API boundaries with strict formal input validation
Formalizing behavioral expectations and documentation for cross-team integrations