prompt-to-program-drift 是做什麼的？
研究 0 先導：測量代理技能檔案中的程式化漂移
研究 0 先導：測量代理技能檔案中的程式化漂移
`prompt-to-program-drift` 是一個用於量化和分析 AI 代理技能檔案（例如 Claude Code、Cursor 或 Codex 所使用的技能）中「程式化漂移」的工具或研究先導。它幫助開發者和 AI 代理使用者了解，隨著時間推移，提示指令與其產生的程式碼之間的一致性如何變化——即執行邏輯或行為是否與原始提示偏離。此技能透過版本比較或目標執行追蹤來運作，以標記漂移程度，為調試、技能維護和評估提示與程式對齊提供有價值的見解。它支援基於檔案的代理設定，並鼓勵定期檢查技能穩定性，這在動態開發環境中至關重要。
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研究 0 先導：測量代理技能檔案中的程式化漂移
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.