prompt-to-program-drift 是做什么的？
研究0试点：衡量代理技能文件中的程序漂移
研究0试点：衡量代理技能文件中的程序漂移
该技能是“研究0试点”的一部分，旨在衡量AI代理技能文件中的“程序漂移”（programmatic drift）。程序漂移指的是当AI代理的技能定义（通常以SKILL.md等文件形式存在）与底层实现、提示或用户意图之间出现差异时，导致代理行为不一致或过时的现象。此技能可能通过对比技能文件的不同版本、分析其变更模式或评估代理行为差异来量化这种漂移。它支持在提示到程序（prompt-to-program）的工作流中使用，帮助开发者或研究人员监控技能定义的稳定性。尽管该技能仍处于实验性阶段，但它为理解和改进AI代理的可靠性提供了重要的分析基础。
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研究0试点：衡量代理技能文件中的程序漂移
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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.