360 Secure SkillHub
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Academic Research

该 Skill 用 python 脚本调用 OpenAlex 等免费接口，按主题、作者或 DOI 检索学术论文，获取标题、作者、摘要、引用数、DOI 与开放获取链接等元数据，支持引用链分析、深度读取与按主题聚类生成 Markdown 文献综述，结果可输出为 JSON 或写入文件。

rogersuperbuilderalpha
rogersuperbuilderalpha
热度 99.06
最近更新 2026-05-17 12:19:43
分类：搜索依赖：代码执行 / 第三方 API / 读写文件应用场景：研究 / 摘要总结 / 报告撰写

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add academic-research
Metadata
name
academic-research
version
1.0.0
description
Search academic papers and conduct literature reviews using OpenAlex API (free, no key needed). Use when the user needs to find scholarly papers by topic/author/DOI, explore citation chains, get structured paper metadata (title, authors, abstract, citations, DOI, open access URL), fetch full text of open access papers, or conduct automated literature reviews with theme identification and synthesis. Triggers on requests involving academic search, paper lookup, citation analysis, literature review, research synthesis, or scholarly reference gathering.

Academic Research

Search 250M+ academic works via OpenAlex. No API key required.

Built by Topanga — AI Research Consultant

Quick Start

Search papers by topic

python3 scripts/scholar-search.py search "transformer architectures" --limit 10

Search by author

python3 scripts/scholar-search.py author "Yann LeCun" --limit 5

Look up by DOI

python3 scripts/scholar-search.py doi "10.1038/s41586-021-03819-2"

Get citation chain (papers that cite a work)

python3 scripts/scholar-search.py citations "10.1038/s41586-021-03819-2" --direction both

Deep read (fetch abstract + full text when available)

python3 scripts/scholar-search.py deep "10.1038/s41586-021-03819-2"

JSON output for programmatic use

python3 scripts/scholar-search.py search "CRISPR" --json

Literature Review Workflow

Automated multi-step literature review:

python3 scripts/literature-review.py "algorithmic literacy in education" --papers 30 --output review.md

This will:

  1. Search for papers across multiple query variations
  2. Deduplicate and rank by relevance + citations
  3. Identify thematic clusters
  4. Generate a structured synthesis in markdown

Options:

  • --papers N — Target number of papers (default: 20)
  • --output FILE — Write review to file (default: stdout)
  • --years 2020-2025 — Restrict publication year range
  • --json — Output structured JSON instead of markdown

Output Format

All search commands return structured data per paper:

  • Title and publication year
  • Authors (up to 5)
  • Abstract (when available)
  • Citation count
  • DOI
  • Open access URL (when available)
  • Source journal/venue

Tips

  • OpenAlex sorts by relevance by default; use --sort citations for most-cited
  • Combine search + deep for quick triage: search first, deep-read promising hits
  • The literature review script caches results in /tmp/litreview_cache/ to avoid re-fetching
  • For full-text PDFs, pipe DOIs to your PDF extraction tool