AI-Code-Health-Review 是做什麼的?
一個以證據為基礎的 Codex 技能,用於審查程式碼、差異、儲存庫、測試、相依性、CI/CD、基礎架構設定及機器生成的分析報告。
一個以證據為基礎的 Codex 技能,用於審查程式碼、差異、儲存庫、測試、相依性、CI/CD、基礎架構設定及機器生成的分析報告。
這是一個專為 Codex 平台設計的 AI 技能,名為 Marstlantis/AI-Code-Health-Review。其核心功能是提供基於證據的程式碼健康審查,涵蓋廣泛的軟體工程領域,包括程式碼本身、差異比較、完整的儲存庫結構、測試覆蓋率、相依性管理、CI/CD 流程、基礎架構配置,以及自動化分析報告。此技能旨在協助開發者進行全面、客觀的程式碼審查,避免主觀偏見,並確保審查結果有具體的證據支持。透過整合多種分析來源,它能提供更深入的健康指標,幫助團隊及早發現潛在問題、瓶頸或安全漏洞。這項技能特別適合需要高品質標準和持續整合的團隊,以提升程式碼庫的可維護性和穩定性。
npx skills add Marstlantis/AI-Code-Health-ReviewInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
一個以證據為基礎的 Codex 技能,用於審查程式碼、差異、儲存庫、測試、相依性、CI/CD、基礎架構設定及機器生成的分析報告。
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.