This rule enforces best practices and coding standards for Bash scripting to improve code quality, maintainability, and security. It covers naming conventions, formatting, error handling, security, and performance considerations.
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This rule file provides comprehensive guidance on Docker best practices, covering Dockerfile construction, image optimization, and security considerations. It aims to improve the efficiency, maintainability, and security of Docker-based projects.
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This rule provides comprehensive best practices for Rust development, covering code organization, common patterns, performance, security, testing, pitfalls, and tooling. It aims to guide developers in writing idiomatic, efficient, secure, and maintainable Rust code.
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Code Review Rule. Use this rule when you need expert code review for quality, security, and maintainability. This rule should be used proactively after writing logical chunks of code, before merging pull requests, or when explicitly asked to review code. Example: After implementing a new feature in a Go plugin, use this rule to review the code for potential issues. Example: When asked '请对 PR 1234 进行代码评审', 'Code Review fork/feature/x', '将 fork/feature/x 对比 main 进行CR' use this rule to perform a thorough security-focused review.
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AI-powered security analysis of code changes — traces data flow, detects injection, auth bypass, secrets exposure, and unsafe deserialization across files. Use when reviewing pending changes, before release-branch, during verify-work Phase 5, during build-epic Step 0 threat modeling, or when the user says \"security review\" or \"scan for vulns\".
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