Semantic Scholar Search

v1.0.0

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。

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for jirboy/semantic-scholar-search.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Semantic Scholar Search" (jirboy/semantic-scholar-search) from ClawHub.
Skill page: https://clawhub.ai/jirboy/semantic-scholar-search
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install semantic-scholar-search

ClawHub CLI

Package manager switcher

npx clawhub@latest install semantic-scholar-search
Security Scan
VirusTotalVirusTotal
Benign
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OpenClawOpenClaw
Benign
high confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

latestvk971rkxm9njfqrpqfjeeasrzw9850wcq
140downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

⚠️ 已整合 - 请使用 search 统一入口

本技能保留用于向后兼容,功能已整合到 search 统一入口技能

推荐使用: search scholar [关键词] 或直接使用本技能(自动转发)


Semantic Scholar Search(兼容层)

免费、高质量的学术论文检索工具 - 基于 Semantic Scholar API。

迁移指南

新用法:

search scholar machine learning
search scholar attention mechanism year=2020-
search scholar Yann LeCun

旧用法(仍然可用):

scholar machine learning

特点

  • ✅ 免费使用,无需注册
  • ✅ 覆盖计算机科学、生物医学、物理等多个领域
  • ✅ 提供论文引用数、作者信息、摘要等详细元数据
  • ✅ 支持高级搜索和过滤

技术实现

  • API: Semantic Scholar API v2
  • 速率限制: 免费层 100 次/小时

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