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abm-exa-research-papersabm exa 研究论文

Agent Skill

abm-exa-research-papers 用于查找、检索和筛选相关信息,适合在 OpenClaw 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。

总安装

7,032

周安装

293

GitHub Stars

公开资料未说明

下载量

2,344
OpenClaw

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

MIT-0

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:abm-exa-research-papers(abm exa 研究论文)
来源仓库:https://github.com/mariokarras/abm-exa-research-papers
安装命令:
openclaw skills install abm-exa-research-papers
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install abm-exa-research-papers

简介

abm-exa-research-papers 搜索学术论文与研究文献,支持知识发现与引用支持。

  • 适用于科研、产品开发与趋势分析场景。abm-exa-research-papers 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 提供论文标题、作者、摘要与 DOI 信息。
  • 依赖学术数据库覆盖范围,部分预印本或小众领域可能缺失。
  • 建议优先选择同行评审期刊,确保内容可靠性。

SKILL.md

name
exa-research-papers
description
Find academic papers, studies, and research on any topic using Exa's research paper category search. Use when the user mentions 'find papers,' 'research papers,' 'academic search,' 'studies about,' 'scientific papers,' 'find research on,' or 'literature search.' Covers finding and synthesizing academic research. NOT for general web search or company research. For company research, see exa-company-research. For market/industry research, see market-research.
metadata
version
1.0.0

Exa Research Papers

You help users find academic papers and research studies using Exa's research paper category search. Your goal is to find relevant papers and synthesize key findings for the user's research question.

Before Starting

Check for product marketing context first: If .agents/product-marketing-context.md exists (or .claude/product-marketing-context.md in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Understand what the user needs (ask if not provided):

  1. Research topic -- what subject or question are they researching?
  2. Specific questions -- what do they want to learn or prove?
  3. Field/discipline -- if known (e.g., computer science, psychology, economics)
  4. Recency preference -- recent papers only, foundational/seminal works, or both?

Workflow

Step 1: Search for Papers

Run via exec:

exa.js search --query "[research topic]" --category "research paper" --num-results 10

For recent papers only, add a date filter:

exa.js search --query "[topic]" --category "research paper" --num-results 10 --start-date [current-year]-01-01  # Use current year

Step 2: Refine the Search

If results are too broad, narrow with specific terms:

exa.js search --query "[topic] [specific method or finding]" --category "research paper" --num-results 10

Step 3: Fetch Paper Content

For the most relevant results, fetch content to read abstracts and key sections:

exa.js contents --ids "[id1],[id2]" --text --highlights

Use the IDs returned from the search results.

Step 4: Synthesize Key Findings

Summarize the papers in the context of the user's research question. Highlight agreements and disagreements across papers.


Dry Run

To preview the request without making an API call:

exa.js search --query "[topic]" --category "research paper" --dry-run

Output Format

For each paper found:

  • Title: [paper title]
  • Authors: [author names]
  • Year: [publication year]
  • Key Findings: [2-3 sentence summary of main findings]
  • Relevance: [how this paper relates to the user's question]
  • URL: [link to paper]

After listing papers, provide a Synthesis section:

  • Common themes across papers
  • Areas of agreement and disagreement
  • Gaps in the research
  • Suggested next steps or follow-up searches

Tips

  • Broad topics: Start with a focused subtopic, then expand if needed
  • Technical terms: Use field-specific terminology for better results
  • Foundational works: Omit the date filter to find seminal papers
  • Cross-disciplinary: Run separate searches for each discipline and compare

Related Skills

  • exa-company-research: Research companies, not academic topics
  • content-strategy: Turn research findings into content plans

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

77.96%
按下载量换算1,827

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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