Sn Search Academic

This connects Claude to four academic search engines and two full-text readers. You can search ArXiv preprints, Semantic Scholar with citation counts, PubMed biomedical literature, and Wikipedia, then drill into ArXiv HTML and PMC open access papers section by section. The citation tracing tools are the standout feature: run backward searches to find foundational references or forward searches to track who's building on a paper, filtered by citation count and year. The workflow is token-efficient: search returns metadata and abstracts, then you pull specific sections like Methods or Results only when needed. Most tools work without API keys, though Semantic Scholar and PubMed offer higher rate limits if you have one. Best for literature reviews where you need to map a research area quickly without reading dozens of full PDFs.

skills.sh installs: 134
GitHub stars: 6.1K
last updated: Jun 11, 2026

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Install

$ npx -y skills add opensensenova/sensenova-skills --skill sn-search-academic --agent claude-code

Installs into .claude/skills of the current project.

Files

sn-search-academic - 学术搜索

凭证配置

API key、token 与 cookie 统一建议写在仓库根目录 .env（参考 .env.example），并由 runtime 或用户在执行前加载为同名环境变量。脚本仍只从环境变量或显式 CLI 参数读取凭证；不要把真实密钥写入 skill payload、报告、日志或提交。

使用三个统一入口完成学术调研：

search.py：搜索论文和百科条目
paper.py：列出论文章节，读取论文全文或指定章节
refTree.py：查询论文的 references 和 citations

不要直接调用历史 provider 脚本；它们只是统一入口的内部实现细节。需要 provider 回退链、参数分发或完整输出字段时，按需读取 references/search.md、references/paper.md、references/refTree.md。

可用脚本

脚本	用途	主要输入	主要输出
`scripts/search.py`	搜索论文/百科	`query`，可选 `--source`、`--limit`、`--category`、`--lang`	按 source 分组的论文/百科条目，位于 `source_results[*].items`
`scripts/paper.py`	列出章节，读取论文全文或章节	论文 ID，可选 `--source`、`--list_section`、`--section`	章节列表位于 `sections`；全文或章节正文位于 `content`
`scripts/refTree.py`	查询引用树	`--paper_id`、`--title`，可选 `--direction`	参考文献与被引论文，位于 `source_results[].references` / `source_results[].citations`