data-provenance-verifier 是做什么的？
在虚假数据文件污染你的分析之前将其捕获。适用于 Claude Code 的三层数据溯源审计技能。
在虚假数据文件污染你的分析之前将其捕获。适用于 Claude Code 的三层数据溯源审计技能。
此技能专为 Claude Code 设计，旨在通过三层溯源审计机制，在数据文件污染分析之前识别并捕获伪造数据。它自动检查文件的元数据（如创建时间、修改历史）、内容哈希（与已知真实数据集对比）以及逻辑一致性（如时间戳顺序、数值范围），从而有效防止数据投毒攻击。该技能支持常见数据格式（CSV、JSON、Parquet 等），并可与版本控制系统（如 Git）集成以追溯文件变更。对于处理外部数据源或敏感分析的开发者而言，此技能是保障数据完整性和分析结果可信度的关键工具。
npx skills add wan-huiyan/data-provenance-verifierInstalled? 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 →
在虚假数据文件污染你的分析之前将其捕获。适用于 Claude Code 的三层数据溯源审计技能。
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.