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semantic-scholar-lookup语义学者查找

Agent Skill

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。

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26,867

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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'

简介

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。

SKILL.md

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.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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

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权限和风险

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 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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