reproproof-skill 是做什么的？
一个轻量级、可移植的智能体技能，用于审计研究声明、证据边界和可重复性准备情况。
一个轻量级、可移植的智能体技能，用于审计研究声明、证据边界和可重复性准备情况。
这是一个专为AI智能体（如Claude Code、Cursor、Codex等）设计的轻量级、可移植技能，用于系统性地审计研究声明、证据边界和可重复性准备情况。它通过检查研究论文或项目中的声明与支撑证据之间的一致性，帮助识别方法论缺陷和潜在的复制问题。该技能支持多种平台，能够引导智能体按照预设的检查清单（如证据强度、样本量、统计方法等）进行结构化评估。其工作原理基于从研究文档中提取关键声明，并与提供的证据进行交叉比对，从而生成一份关于研究可重复性和可靠性的详细报告。
npx skills add studious233/reproproof-skillInstalled? 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 →
一个轻量级、可移植的智能体技能，用于审计研究声明、证据边界和可重复性准备情况。
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.