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在 OpenClaw 中安装
/install semantic-scholar-search
功能描述
通过 Semantic Scholar API 免费检索学术论文，支持多领域搜索、详细元数据及高级筛选，兼容旧入口调用。
安全使用建议
This skill appears to do what it claims: query the official Semantic Scholar API and print results, and it does not request secrets or contact unknown servers. Two practical points before installing: (1) the repository includes package.json with an npm-style dependency on the Python package "requests" — this is a packaging mismatch. Make sure your environment has Python and the requests library installed (pip install requests) because package.json will not install Python deps. (2) The skill's source is from an unknown homepage/owner; if you require provenance, prefer an official or well-known source or the newer unified 'search' skill mentioned in SKILL.md. Otherwise, it's coherent and proportionate to its stated purpose.
功能分析
Type: OpenClaw Skill
Name: semantic-scholar-search
Version: 1.0.0
The skill is a legitimate academic search tool that interfaces with the official Semantic Scholar API. The Python implementation (semantic_scholar.py) uses the standard 'requests' library to perform searches and retrieve paper metadata without any evidence of malicious behavior, data exfiltration, or prompt injection. All inputs are handled safely, and network activity is restricted to the documented API endpoint (api.semanticscholar.org).
能力评估
Purpose & Capability
Name/description, SKILL.md, and the included Python code all implement Semantic Scholar searches via the official API (search, author, paper details). No unrelated credentials, binaries, or capabilities are requested.
Instruction Scope
SKILL.md is a thin compatibility wrapper pointing to a unified 'search' entry and gives only usage examples. The runtime code only makes HTTPS requests to api.semanticscholar.org and prints results; it does not read local files, access unrelated environment variables, or transmit data to unknown endpoints.
Install Mechanism
There is no install spec (instruction-only is low risk). However, the repo contains a package.json that declares a dependency "requests" (a Python library) in an npm-style manifest — this is a packaging mismatch (not malicious, but could confuse automated installers). The skill has no download-from-URL or archive extraction behavior.
Credentials
No environment variables, credentials, or config paths are required. The code does not read secrets or tokens. This is proportionate for a public-API search wrapper.
Persistence & Privilege
The skill is not marked always:true and does not modify other skills or system-wide config. It can be invoked autonomously by the agent (platform default), which is expected for a skill of this type.
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 semantic-scholar-search - 安装完成后，直接呼叫该 Skill 的名称或使用
/semantic-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
v1.0.0
- Semantic Scholar 搜索功能已整合至 `search` 统一入口技能，保留本技能用于兼容旧用法。
- 推荐使用新格式 `search scholar [关键词]`，原有调用方式仍可用，将自动转发到新入口。
- 技能继续支持免费、跨学科高质量论文检索，并提供详细论文元数据。
- 文档加入迁移指南，方便用户平滑过渡至新版用法。
元数据
常见问题
Semantic Scholar Search 是什么？
通过 Semantic Scholar API 免费检索学术论文，支持多领域搜索、详细元数据及高级筛选，兼容旧入口调用。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 159 次。
如何安装 Semantic Scholar Search？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install semantic-scholar-search」即可一键安装，无需额外配置。
Semantic Scholar Search 是免费的吗？
是的，Semantic Scholar Search 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Semantic Scholar Search 支持哪些平台？
Semantic Scholar 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 Semantic Scholar Search？
由 JIRBOY（@jirboy）开发并维护，当前版本 v1.0.0。
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