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���引擎论文搜索 Agent Skill

使用 OpenAlex 与 AnySearch 两个真实数据源并行搜索、交叉匹配和输出可追溯论文元数据。

13k tokens
context cost
the whole folder, loaded on every use
4
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
580
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/XiaoMaColtAI/math-modeling-skill --skill 双引擎论文搜索

The instruction itself

as written by the author

双引擎论文搜索

数据源

  • OpenAlex:结构化学术元数据。
  • AnySearch Academic:学术垂直搜索,支持当前 MCP Markdown 响应解析。

默认并行调用两个引擎。DOI 相同的记录直接交叉验证;无 DOI 时仅在标题高度相似且年份相容时合并。同一引擎中标题规范化后相同的预印本与正式出版记录也会折叠,并优先保留引用信息和元数据更完整的记录。交叉匹配结果、OpenAlex 独有结果和 AnySearch 独有结果分开输出。

融合时按查询词覆盖率过滤和重排,相关性优先于引用量,避免高被引但主题无关的论文挤占结果。包含多个专业术语时,候选文献至少命中两个有效查询词;这一阈值兼顾缺少摘要的元数据,不能代替人工核验。物理、材料和光学主题应组合使用材料名、机理名与模型名,例如 Sellmeier 4H-SiC Fabry-Perot;结果过少时逐步放宽查询,不直接接受无关结果。

使用

python scripts/hybrid_scholar.py --query "robust optimization vehicle routing" --limit 10 --json

如 AnySearch 需要鉴权:

$env:ANYSEARCH_API_KEY = "<密钥>"
python scripts/hybrid_scholar.py --query "analytic hierarchy process" --limit 8

诊断单个引擎时可用 --openalex-only--anysearch-only;正式文献检索默认不得只运行一个引擎。

核验规则

  • 搜索结果只用于发现候选文献。
  • 引用前打开 DOI 或出版机构页面核对作者、题名、年份、期刊/会议、卷期页。
  • 不把引用量当作正确性的证明。
  • 不根据标题或摘要编造不存在的结论。
  • 输出中保留 sourcescross_validated 状态。

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How to use it

Copy the folder

Take xiaomacoltai/双引擎论文搜索 from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.