Seiberg-Skill 是做什麼的？
基於證據的 Codex 技能，用於保護數據、受控變形和反向一致性。
基於證據的 Codex 技能，用於保護數據、受控變形和反向一致性。
這是一個專為 Codex 等 AI 代理設計的「Seiberg 技能」，其核心理念源自物理學中的 Seiberg 對偶，但在此轉化為軟體工程中的嚴格約束框架。該技能確保在受保護的數據結構上進行受控修改（變形），並維持系統整體的反向一致性——即修改前後的狀態必須相互可追溯，避免出現孤立或不可逆的變更。它支援基於證據的操作模式，要求所有變更都附有可驗證的證明或日誌，特別適合需要高度可靠性與審計追蹤的開發環境，如合規性應用或關鍵基礎設施。通過此技能，開發者可以對數據和程式碼進行安全、可逆且可追溯的調整，類似於將物理理論應用於程式碼管理的實踐。
npx skills add JunkaiWang-TheoPhy/Seiberg-SkillInstalled? 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 →
基於證據的 Codex 技能，用於保護數據、受控變形和反向一致性。
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.