BGPT Paper Search
技能 已验证 活跃Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
To enable users to efficiently search scientific papers and retrieve detailed, structured experimental data not typically found in abstracts, supporting tasks like literature reviews and evidence synthesis.
功能
- Search scientific papers
- Retrieve structured experimental data
- Extract methods, results, sample sizes, quality scores
- Return 25+ metadata fields per paper
- Utilize BGPT MCP server
使用场景
- Conducting systematic or scoping literature reviews
- Finding quantitative results, sample sizes, or effect sizes across studies
- Comparing methodologies used in different studies
- Looking for papers with quality scores or evidence grading
非目标
- Providing only abstract-based search results
- Replacing traditional literature databases entirely
- Performing novel scientific research itself, but rather facilitating research by providing data
安装
npx skills add K-Dense-AI/claude-scientific-skills通过 npx 运行 Vercel skills CLI(skills.sh)— 需要本地安装 Node.js,以及至少一个兼容 skills 的智能体(Claude Code、Cursor、Codex 等)。前提是仓库遵循 agentskills.io 格式。
质量评分
已验证类似扩展
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