← 返回 Skills 市场
Academic Paper Search
作者
huangnong598
· GitHub ↗
· v1.1.0
· MIT-0
308
总下载
0
收藏
1
当前安装
3
版本数
在 OpenClaw 中安装
/install searchapi-scholar-search
功能描述
Academic paper discovery and evidence-oriented web search using a SerpApi/SearchAPI-compatible key. Use when the user asks for Google Scholar retrieval, pape...
安全使用建议
This skill appears coherent and implements the stated Scholar/web search functionality. Before installing, verify you trust the SerpApi service and be aware that your SERPAPI_API_KEY (or SEARCHAPI_API_KEY) will be sent to https://serpapi.com in request URLs and thus may be logged by that service; use a key with only the necessary scope and monitor usage/costs. The scripts also make optional queries to Crossref (public API) for DOI enrichment. Ensure Node is up-to-date so the scripts' fetch usage works correctly. Finally, treat retrieved results as leads — verify landing pages and DOIs before citing in formal work.
功能分析
Type: OpenClaw Skill
Name: searchapi-scholar-search
Version: 1.1.0
The skill is a legitimate tool for academic research and paper verification using the SerpApi and Crossref APIs. The scripts (scholar-search.mjs and web-search.mjs) handle API keys and search queries safely, using standard fetch calls to well-known endpoints (serpapi.com and api.crossref.org) without any evidence of data exfiltration, shell injection, or malicious execution. The instructions in SKILL.md are consistent with the stated purpose of scholarly literature discovery.
能力评估
Purpose & Capability
Name/description (academic paper search) match what the code does: both scripts call SerpApi endpoints for Google Scholar and Google web search. Required binaries (node) and required env vars (SERPAPI_API_KEY, SEARCHAPI_API_KEY) are consistent with that purpose.
Instruction Scope
SKILL.md instructs running the shipped node scripts and documents which env vars are used. The runtime behavior (requests to serpapi.com and optional Crossref queries) is described and limited to search/verification tasks; the scripts do not read unrelated files or environment variables beyond the declared keys.
Install Mechanism
No install/download step is specified (instruction-only install), and included code files are local scripts. There are no downloads from arbitrary URLs or archive extraction. The scripts perform outbound HTTPS calls to known APIs (serpapi.com, api.crossref.org).
Credentials
Only SERPAPI_API_KEY and SEARCHAPI_API_KEY are required and documented; the code uses the first available key as expected. No unrelated secrets or high-privilege credentials are requested.
Persistence & Privilege
The skill does not request permanent/always-true inclusion; autonomous invocation is allowed by platform default (disable-model-invocation is false), which is expected for skills. The skill does not modify other skills or system-wide settings.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install searchapi-scholar-search - 安装完成后，直接呼叫该 Skill 的名称或使用
/searchapi-scholar-search触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.1.0
Add shortlist/review/verify modes, heuristic review-paper detection, richer structured output, verification hints, and query refinement suggestions for academic paper search workflows.
v1.0.1
Add explicit runtime/API-key requirements metadata and remove custom base URL override for better trust, consistency, and registry auditability.
v1.0.0
Initial public release focused on academic paper discovery, DOI enrichment, and evidence-oriented source verification for university research workflows.
元数据
常见问题
Academic Paper Search 是什么？
Academic paper discovery and evidence-oriented web search using a SerpApi/SearchAPI-compatible key. Use when the user asks for Google Scholar retrieval, pape... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 308 次。
如何安装 Academic Paper Search？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install searchapi-scholar-search」即可一键安装，无需额外配置。
Academic Paper Search 是免费的吗？
是的，Academic Paper Search 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Academic Paper Search 支持哪些平台？
Academic Paper Search 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Academic Paper Search？
由 huangnong598（@huangnong598）开发并维护，当前版本 v1.1.0。
推荐 Skills