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Install in OpenClaw
/install semantic-scholar-search
Description
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。
Usage Guidance
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.
Capability Analysis
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).
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install semantic-scholar-search - After installation, invoke the skill by name or use
/semantic-scholar-search - Provide required inputs per the skill's parameter spec and get structured output
Version History
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。
Metadata
Frequently Asked Questions
What is Semantic Scholar Search?
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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 159 downloads so far.
How do I install Semantic Scholar Search?
Run "/install semantic-scholar-search" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Semantic Scholar Search free?
Yes, Semantic Scholar Search is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Semantic Scholar Search support?
Semantic Scholar Search is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Semantic Scholar Search?
It is built and maintained by JIRBOY (@jirboy); the current version is v1.0.0.
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