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research-lookup研究查找

Agent Skill

research-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。

总安装

98

周安装

4

GitHub Stars

公开资料未说明

下载量

31
CodexClaudeCursorGemini CLI

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

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:research-lookup(研究查找)
来源仓库:https://github.com/aiskillstore/marketplace
仓库路径:skills/research-lookup
安装命令:
npx skills add aiskillstore/marketplace --skill "research-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。

AgentSkills.tonpx skills
npx skills add aiskillstore/marketplace --skill "research-lookup"

简介

发现并安装 AI 代理的技能。

  • 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。
  • research-lookup 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Research Lookup Skill

This skill provides real-time research information lookup using Perplexity's Sonar Pro Search model through OpenRouter.

Setup

  1. Get OpenRouter API Key:

- Visit openrouter.ai - Create account and generate API key - Add credits to your account

  1. Configure Environment:
   export OPENROUTER_API_KEY="your_api_key_here"
  1. Test Setup:
   python scripts/research_lookup.py --model-info

Usage

Command Line Usage

# Single research query
python scripts/research_lookup.py "Recent advances in CRISPR gene editing 2024"

# Multiple queries with delay
python scripts/research_lookup.py --batch "CRISPR applications" "gene therapy trials" "ethical considerations"

# Claude Code integration (called automatically)
python lookup.py "your research query here"

Claude Code Integration

The research lookup tool is automatically available in Claude Code when you:

  1. Ask research questions: "Research recent advances in quantum computing"
  2. Request literature reviews: "Find current studies on climate change impacts"
  3. Need citations: "What are the latest papers on transformer attention mechanisms?"
  4. Want technical information: "Standard protocols for flow cytometry"

Features

  • Academic Focus: Prioritizes peer-reviewed papers and reputable sources
  • Current Information: Focuses on recent publications (2020-2024)
  • Complete Citations: Provides full bibliographic information with DOIs
  • Multiple Formats: Supports various query types and research needs
  • High Search Context: Always uses high search context for deeper, more comprehensive research
  • Cost Effective: Typically $0.01-0.05 per research query

Query Examples

Academic Research

  • "Recent systematic reviews on AI in medical diagnosis 2024"
  • "Meta-analysis of randomized controlled trials for depression treatment"
  • "Current state of quantum computing error correction research"

Technical Methods

  • "Standard protocols for immunohistochemistry in tissue samples"
  • "Best practices for machine learning model validation"
  • "Statistical methods for analyzing longitudinal data"

Statistical Data

  • "Global renewable energy adoption statistics 2024"
  • "Prevalence of diabetes in different populations"
  • "Market size for autonomous vehicles industry"

Response Format

Each research result includes:

  • Summary: Brief overview of key findings
  • Key Studies: 3-5 most relevant recent papers
  • Citations: Complete bibliographic information
  • Usage Stats: Token usage for cost tracking
  • Timestamp: When the research was performed

Integration with Scientific Writing

This skill enhances the scientific writing process by providing:

  1. Literature Reviews: Current research for introduction sections
  2. Methods Validation: Verify protocols against current standards
  3. Results Context: Compare findings with recent similar studies
  4. Discussion Support: Latest evidence for arguments
  5. Citation Management: Properly formatted references

Troubleshooting

"API key not found"

  • Ensure OPENROUTER_API_KEY environment variable is set
  • Check that you have credits in your OpenRouter account

"Model not available"

  • Verify your API key has access to Perplexity models
  • Check OpenRouter status page for service issues

"Rate limit exceeded"

  • Add delays between requests using --delay option
  • Check your OpenRouter account limits

"No relevant results"

  • Try more specific or broader queries
  • Include time frames (e.g., "2023-2024")
  • Use academic keywords and technical terms

Cost Management

  • Monitor usage through OpenRouter dashboard
  • Typical costs: $0.01-0.05 per research query
  • Batch processing available for multiple queries
  • Consider query specificity to optimize token usage

This skill is designed for academic and research purposes, providing high-quality, cited information to support scientific writing and research activities.

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

04

需要参考平台分布和安装热度时

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

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

OpenCode

82%
按下载量换算25

安全审计

暂无安全审计结果可展示。

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。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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