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Open academic metadata via OpenAlex API. Use when: user needs author profiles, institution data, concept mapping, or open citation data. NOT for: full-text search or downloading papers.
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SOC 직업 분류 기준
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/beita6969/ScienceClaw --skill openalex-search명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
# Academic Literature Search — 学术文献检索与引用管理
Search and retrieve preprints from arXiv via the Atom API. Use this skill when searching for papers in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, or economics by keywords, authors, arXiv IDs, date ranges, or categories.
| name | openalex-search |
| description | Open academic metadata via OpenAlex API. Use when: user needs author profiles, institution data, concept mapping, or open citation data. NOT for: full-text search or downloading papers. |
| metadata | {"openclaw":{"emoji":"📚","requires":{"bins":["curl"]}}} |
Query the OpenAlex open academic metadata API for works, authors, institutions, and concepts.
No API key required. Add mailto parameter for polite pool (10x faster rate limit).
https://api.openalex.org
curl -s "https://api.openalex.org/works?search=CRISPR+gene+editing&per_page=5&mailto=user@example.com"
# Filter by year + open access
curl -s "https://api.openalex.org/works?filter=publication_year:2024,open_access.is_oa:true&search=quantum+computing&per_page=10"
# Get specific work by DOI
curl -s "https://api.openalex.org/works/doi:10.1038/s41586-024-07000-0"
curl -s "https://api.openalex.org/authors?search=Yoshua+Bengio&per_page=5"
# Get author profile by ID
curl -s "https://api.openalex.org/authors/A5023888391"
curl -s "https://api.openalex.org/institutions?search=MIT&per_page=5"
# Filter by country, sort by output
curl -s "https://api.openalex.org/institutions?filter=country_code:CN&sort=works_count:desc&per_page=10"
curl -s "https://api.openalex.org/concepts?search=machine+learning&per_page=5"
# Multiple filters
curl -s "https://api.openalex.org/works?filter=publication_year:2023-2024,cited_by_count:>100&sort=cited_by_count:desc&per_page=10"
# Group by field
curl -s "https://api.openalex.org/works?filter=authorships.author.id:A5023888391&group_by=publication_year"
# Page-based (up to 10,000 results)
curl -s "https://api.openalex.org/works?search=climate&page=2&per_page=25"
# Cursor-based (unlimited)
curl -s "https://api.openalex.org/works?search=climate&per_page=100&cursor=*"
NEVER fabricate results from training data. Every paper title, author, DOI, PMID, citation count, and metadata detail presented to the user MUST come from an actual API response in this conversation. If the API returns no results or partial data, report exactly what was returned. Do not "fill in" missing details from memory.