solidity-security
Comprehensive smart contract security patterns, vulnerability prevention, and secure Solidity development practices.
- Covers critical vulnerabilities including reentrancy, integer overflow/underflow, access control failures, and front-running with vulnerable code examples and secure patterns
- Teaches Checks-Effects-Interactions pattern, pull-over-push payment design, input validation, and emergency stop mechanisms for production-ready contracts
- Includes gas optimization techniques such as storage packing,
calldatausage, and event-based data storage - Provides security checklist, Hardhat testing examples for vulnerability detection, and audit preparation guidelines with proper documentation standards
Solidity Security
Master smart contract security best practices, vulnerability prevention, and secure Solidity development patterns.
When to Use This Skill
- Writing secure smart contracts
- Auditing existing contracts for vulnerabilities
- Implementing secure DeFi protocols
- Preventing reentrancy, overflow, and access control issues
- Optimizing gas usage while maintaining security
- Preparing contracts for professional audits
- Understanding common attack vectors
Critical Vulnerabilities
1. Reentrancy
Attacker calls back into your contract before state is updated.
More from wshobson/agents
tailwind-design-system
Build scalable design systems with Tailwind CSS v4, design tokens, component libraries, and responsive patterns. Use when creating component libraries, implementing design systems, or standardizing UI patterns.
41.0Ktypescript-advanced-types
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.
40.4Knodejs-backend-patterns
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
31.8Kpython-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
22.1Kapi-design-principles
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
20.3Kpython-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
19.7K