AI-代码健康审查 是做什么的？
一项基于证据的 Codex 技能，用于审查代码、差异、仓库、测试、依赖项、CI/CD、基础设施配置以及机器生成的分析报告。
一项基于证据的 Codex 技能，用于审查代码、差异、仓库、测试、依赖项、CI/CD、基础设施配置以及机器生成的分析报告。
该技能专为 AI 编码代理（如 Codex）设计，提供全面的、基于证据的代码审查能力。它超越了简单的语法检查，能够分析代码变更（diff）、完整仓库结构、测试覆盖率、依赖项安全性、CI/CD 流水线配置以及基础设施即代码（IaC）的实践。通过整合多源信息并生成详细报告，它帮助开发者识别潜在的风险、代码异味和架构问题。其核心价值在于将审查过程数据化，减少主观判断，并支持对机器生成的分析报告进行二次验证与整合，从而提升代码库的整体健康状况和可维护性。
npx skills add Marstlantis/AI-Code-Health-ReviewInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
一项基于证据的 Codex 技能，用于审查代码、差异、仓库、测试、依赖项、CI/CD、基础设施配置以及机器生成的分析报告。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.