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Agent Skill · 研究检索

semantic-scholar-lookup(语义学者查找)

semantic-scholar-lookup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

semantic-scholar-lookup 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 5,267。

总安装 26,867周安装 686GitHub Stars 10下载 4,323核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:semantic-scholar-lookup(语义学者查找)
来源仓库:https://github.com/allenai/asta-plugins
仓库路径:skills/semantic-scholar-lookup
安装命令:
npx skills add https://github.com/allenai/asta-plugins --skill 'Semantic Scholar Lookup'
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/allenai/asta-plugins --skill 'Semantic Scholar Lookup'

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,支持根据关键词快速定位候选结果。适合在需要任务场景或来源线索进行信息筛选时使用。可结合来源仓库和原始 README 核验具体用法。安装方式:通过 npx skills add 命令从指定 GitHub 仓库添加。注意权限范围和维护状态,确认是否会触发联网、命令执行或文件读写。

来源仓库内路径:skills/semantic-scholar-lookup

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/allenai/asta-plugins --skill 'Semantic Scholar…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

semantic-scholar-lookup 怎么安装?

在终端执行 npx skills add https://github.com/allenai/asta-plugins --skill 'Semantic Scholar Lookup'。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

semantic-scholar-lookup 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

semantic-scholar-lookup 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

semantic-scholar-lookup 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

semantic-scholar-lookup 用的人多吗?

公开数据是累计安装 26,867 次,近一周安装 686 次,下载 4,323 次,GitHub 10 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

semantic-scholar-lookup 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
semantic-scholar-lookup

语义学者查找 · 本页

26,86710接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Semantic Scholar Lookup

Fast, targeted lookups of paper metadata, citations, and authors using the Semantic Scholar API via `asta papers` commands.

When to Use This Skill

  • User asks for details about a specific paper (by title, DOI, arXiv ID, etc.)
  • User wants to see papers citing a given work
  • User asks about an author's papers
  • User wants a quick keyword search (not a comprehensive report)
  • Task requires targeted paper metadata or citation graphs

Not for comprehensive reports - use the Literature Report Generation skill for that.

Installation

This skill requires the asta CLI:

# Install/reinstall at the correct version
PLUGIN_VERSION=0.14.0
if [ "$(asta --version 2>/dev/null | grep -oE '[0-9]+\.[0-9]+\.[0-9]+')" != "$PLUGIN_VERSION" ]; then
  uv tool install --force git+https://github.com/allenai/asta-plugins.git@v$PLUGIN_VERSION
fi

Prerequisites: Python 3.11+ and uv package manager

Available Commands

Get Paper Details

asta papers get - Get metadata for a single paper by ID

asta papers get ARXIV:2005.14165

asta papers get "DOI:10.18653/v1/N18-3011" --fields title,year,authors,abstract

asta papers get CorpusId:215416146 --format text

Supported ID formats:

  • ARXIV:2106.15928
  • DOI:10.18653/v1/N18-3011
  • CorpusId:215416146
  • PMID:19872477
  • URL:https://arxiv.org/abs/2106.15928

Common fields: title,abstract,authors,year,venue,citationCount,publicationDate,url,isOpenAccess,fieldsOfStudy

Search Papers

asta papers search - Keyword-based paper search

asta papers search "transformers attention mechanism"

asta papers search "RLHF" --year 2023- --limit 10

asta papers search "neural networks" --fields title,year,abstract,authors

Options:

  • --fields: Comma-separated fields to return
  • --limit: Number of results (default 20, max 100)
  • --year: Year filter (e.g., 2020, 2020-2024, 2020-)
  • --format: Output as json or text

Get Citations

asta papers citations - Papers that cite a given work

asta papers citations ARXIV:2005.14165

asta papers citations CorpusId:218487638 --limit 20 --format text

Options:

  • --fields: Fields for citing papers
  • --limit: Max results (default 50, max 1000)
  • --format: Output as json or text

Author Search and Papers

asta papers author search - Find authors by name

asta papers author search "Yoav Goldberg"

asta papers author search "Hinton" --limit 5 --format text

asta papers author papers - Get papers by an author

# First, get author ID from search
asta papers author search "Yoav Goldberg"

# Then get their papers using the author ID
asta papers author papers 1741101 --limit 50

asta papers author papers 1741101 --fields title,year,venue,citationCount

Options:

  • --fields: Fields to return for papers
  • --limit: Max results (default 50, max 1000)
  • --format: Output as json or text

Output Formats

All commands support two output formats:

JSON format (default):

  • Machine-readable
  • Complete data structure
  • Pipe to jq for filtering
  • Best for programmatic use

Text format (--format text):

  • Human-readable
  • Formatted output
  • Best for quick browsing
  • Use when showing results to user

Usage Tips

Efficient Field Selection

Only request fields you need for faster responses:

# Good - minimal fields for quick browse
asta papers search "deep learning" --fields title,year,authors,citationCount

# Less efficient - many fields slow down response
asta papers search "deep learning" --fields title,abstract,authors,year,venue,citations,references

Year Filtering

Restrict to recent papers when appropriate:

asta papers search "RLHF" --year 2023-2024  # 2023-2024
asta papers search "RLHF" --year 2023-      # 2023 onwards
asta papers search "RLHF" --year -2020      # Before 2020

Piping to jq

For complex JSON processing:

# Extract just titles
asta papers search "transformers" | jq '.data[].title'

# Filter by citation count
asta papers search "neural networks" | jq '.data[] | select(.citationCount > 100)'

# Get author names
asta papers get ARXIV:2005.14165 | jq '.authors[].name'

Multi-Step Workflows

Chain commands for complex queries:

Example 1: Find highly-cited recent papers by an author

# 1. Find author
asta papers author search "Geoffrey Hinton" --format text

# 2. Get their recent papers
asta papers author papers 1751273 --fields title,year,citationCount --limit 50 | \
  jq '.data[].paper | select(.year >= 2020) | select(.citationCount > 100)'

Example 2: Explore citation network

# 1. Get paper details
asta papers get ARXIV:2005.14165

# 2. Get who cited it
asta papers citations ARXIV:2005.14165 --limit 20 --format text

# 3. Get details on specific citing papers
asta papers get CorpusId:123456789

Example Workflows

"Get details for arXiv:2005.14165"

asta papers get ARXIV:2005.14165 --format text

Present the output to user in a readable format.

"What papers cite the GPT-3 paper?"

# GPT-3 paper
asta papers citations ARXIV:2005.14165 --limit 50 --format text

Show recent/highly-cited papers from the results.

"Recent papers on RLHF"

asta papers search "RLHF reinforcement learning from human feedback" \
  --year 2023- \
  --limit 20 \
  --fields title,abstract,year,authors,venue,citationCount \
  --format text

"Papers by Yoav Goldberg"

# Step 1: Find author
asta papers author search "Yoav Goldberg" --format text

# Step 2: Get their papers (using author ID from step 1)
asta papers author papers 1741101 \
  --fields title,year,venue,citationCount \
  --limit 50 \
  --format text

"Find evidence of 'chain-of-thought' reasoning"

# Search for papers discussing this
asta papers search "chain-of-thought reasoning" \
  --fields title,abstract,year,authors \
  --limit 15

# Then examine specific papers with 'asta papers get'

Response Presentation

When showing results to users:

For single paper:

**Title** (Year)
Authors: [author list]
Venue: [venue name]
Citations: [count]

[Abstract]

URL: [Semantic Scholar link]

For paper lists:

Found [N] papers:

1. **Paper Title** - Author et al. (Year) - [Venue] - [X citations]
2. **Another Paper** - ...
...

For citations:

Found [N] papers citing this work:

Recent citations:
1. [Paper 1] (2024) - [citations]
2. [Paper 2] (2023) - [citations]
...

Best Practices

  • Use --format text when showing results directly to user
  • Use JSON output when you need to process or filter results
  • Start with small limits, increase if needed
  • Only fetch fields you'll actually use
  • For comprehensive research, suggest Literature Report Generation skill instead
  • Provide Semantic Scholar URLs when helpful (https://semanticscholar.org/paper/{paperId})

API Key

The commands use the ASTA_TOOL_KEY environment variable if available. Most queries work without a key, but a key provides higher rate limits.

平台分布

Codex

34.94%
按下载量换算1,510

Claude

28.53%
按下载量换算1,233

Cursor

18.82%
按下载量换算814

Gemini CLI

8.46%
按下载量换算366

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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