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academic-paper
搜索学术论文(Semantic Scholar + DBLP + arXiv 三源并行),返回标题、作者、摘要、引用数、链接
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搜索学术论文(Semantic Scholar + DBLP + arXiv 三源并行),返回标题、作者、摘要、引用数、链接
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
从 api.crossref.org 抽取学术文献:标题、链接、DOI、摘要片段及引用数
从 api.openalex.org 抽取学术作品:标题、URL、出版年份、DOI、类型
搜索微信公众号文章并提取全文(通过 Sogou 微信搜索),返回标题、真实 URL、发布时间、正文内容
搜索近期新闻文章(NewsAPI + Google News RSS 双源回退),返回标题、来源、日期、摘要
抽取 hn_story:title、url、author、points、created_at
抽取 so_question:title、url、score、answer_count、tags
| name | academic_paper |
| description | 搜索学术论文(Semantic Scholar + DBLP + arXiv 三源并行),返回标题、作者、摘要、引用数、链接 |
| layer | access |
| trigger | 查询涉及学术论文、科研文献、预印本、论文引用量、特定学术会议/期刊论文的具体内容,并且网页、新闻、微信公众号等内容无法提供详情信息时使用。 |
| trigger_conditions | {"domain":["academic","research"],"entity_types":["paper","researcher","conference","journal"],"attribute_types":["citation_count","publication_year","venue","authors","abstract"],"coverage_gap_pattern":"academic_reference_missing"} |
| cost_hint | low |
| effectiveness_score | 0 |
| success_rate | 0 |
| status | seed |
| has_executor | true |
通过 Semantic Scholar、DBLP、arXiv 三个免费学术 API 并行搜索论文,返回结构化的论文元数据。
result = await execute({
"query": "large language model alignment",
"num_results": 5,
"year_range": "2023-2025",
"source": "all" # 可选: all, semantic_scholar, dblp, arxiv
}, browser)
场景: When searching for papers accepted to a future or very recent conference (e.g., 'ACL 2026' when the date is April 2026, prior to the conference date).
场景: Searching for papers from a major conference for the current year (e.g., 'ACL 2026' in April 2026), specifically when the conference has not yet occurred or proceedings are not yet online.
wechat_article searches, as labs self-report acceptances immediately upon notification, bypassing the academic index lag.场景: When searching for papers from a specific upcoming or very recent conference edition (e.g., 'ACL 2026' when the date is April 2026, before proceedings are out).
场景: when searching for very new or niche technical terms (<12 months old) that may not yet be indexed in academic databases