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Agent Skill · 研究检索

find-agents(寻找 Agent 商)

find-agents 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。

find-agents 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,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 34,201。

总安装 2,257周安装 95GitHub Stars 公开资料未说明下载 790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
MIT-0
版本
1.0.0

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:find-agents(寻找 Agent 商)
来源仓库:https://github.com/hgta23/find-agents
安装命令:
openclaw skills install find-agents
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 find-agents

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。

执行智能网络和专业搜索,聚合多源结果并提供带评分的总结。适合寻找协作 Agent 或跨领域解决方案时的信息整合需求。输出结构化答案并标注引用来源,辅助决策与方案选型。安装命令:openclaw skills install find-agents 使用前请确认权限范围、维护状态及是否涉及敏感数据访问

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 OpenClaw;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 openclaw skills install find-agents;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

find-agents 怎么安装?

在终端执行 openclaw skills install find-agents。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

find-agents 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

find-agents 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。

find-agents 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

find-agents 用的人多吗?

公开数据是累计安装 2,257 次,近一周安装 95 次,下载 790 次。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。

find-agents 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

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。
  • 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 OpenClaw,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
find-agents

寻找 Agent 商 · 本页

2,257—接触敏感数据MIT-0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

***

name: find-agents version: 1.0.0 description: "AI-powered find agents that performs intelligent web searches, aggregates results, and provides summarized answers with source citations. Use when: user needs to find current information, research topics, verify facts, or gather data from multiple sources."


Find Agents Skill

An intelligent AI-powered find agents that performs advanced web searches, aggregates results from multiple sources, and provides comprehensive, cited answers to user queries.

Overview

Find Agent is a powerful research tool that combines web search capabilities with AI summarization. It helps users quickly find accurate, up-to-date information from across the internet without manually browsing multiple websites.

Key Features

🔍 Multi-Source Search

  • Web Search: Real-time search across major search engines
  • News Search: Latest news and current events
  • Academic Search: Scholarly articles and research papers
  • Image Search: Visual content discovery
  • Code Search: Programming solutions and documentation

🤖 AI-Powered Analysis

  • Smart Summarization: Condenses multiple sources into coherent answers
  • Fact Verification: Cross-references information across sources
  • Source Credibility: Ranks sources by reliability and authority
  • Context Understanding: Maintains conversation context for follow-up questions

📊 Result Organization

  • Structured Output: Presents information in easy-to-read formats
  • Citation Tracking: Every claim is backed by source links
  • Confidence Scoring: Indicates reliability of information
  • Related Topics: Suggests related queries for deeper exploration

Use Cases

1. Research & Learning

  • Academic Research: Find scholarly articles and citations
  • Topic Exploration: Get comprehensive overviews of complex subjects
  • Fact Checking: Verify claims with multiple authoritative sources
  • Learning New Skills: Find tutorials, documentation, and best practices

2. Professional Work

  • Market Research: Gather industry trends and competitor information
  • Technical Documentation: Find official docs and community solutions
  • News Monitoring: Stay updated on relevant industry news
  • Data Collection: Aggregate statistics and reports

3. Daily Life

  • Product Research: Compare features, prices, and reviews
  • Travel Planning: Find destinations, hotels, and local information
  • Health Information: Access reliable medical and wellness information
  • Current Events: Get summaries of breaking news and developments

Usage Examples

Basic Search

User: "What are the latest developments in quantum computing?"
Search Agent: Performs web search → Aggregates results → Provides summary with citations

Technical Query

User: "How to implement JWT authentication in Node.js?"
Search Agent: Searches code repositories → Finds tutorials → Provides code examples with sources

Fact Verification

User: "Is it true that Python is the most popular programming language in 2024?"
Search Agent: Cross-references multiple sources → Provides verified answer with statistics

News Search

User: "What happened in the tech industry this week?"
Search Agent: Searches recent news → Summarizes key events → Provides timeline

Search Capabilities

Supported Search Types

TypeDescriptionBest For
generalBroad web searchGeneral knowledge, how-to guides
newsRecent news articlesCurrent events, trending topics
academicScholarly sourcesResearch, citations, studies
codeCode repositoriesProgramming solutions, libraries
imagesVisual contentReference images, diagrams

Advanced Search Operators

  • "exact phrase" - Search for exact matches
  • site:example.com - Search within specific domain
  • filetype:pdf - Find specific file types
  • -exclude - Exclude specific terms
  • OR - Search for either term

Output Format

Search Agent provides structured responses:

## Summary
[Concise answer to the query]

## Key Findings
- [Point 1 with citation]
- [Point 2 with citation]
- [Point 3 with citation]

## Sources
1. [Source Title](URL) - [Credibility Score]
2. [Source Title](URL) - [Credibility Score]

## Related Queries
- [Suggested follow-up 1]
- [Suggested follow-up 2]

Technical Architecture

Components

  1. Search Engine Interface: Connects to multiple search APIs
  2. Content Fetcher: Retrieves and parses web pages
  3. AI Analyzer: Processes and summarizes content
  4. Citation Manager: Tracks and formats source references
  5. Response Formatter: Structures output for readability

Data Flow

User Query → Search APIs → Content Extraction → AI Analysis → Citation Mapping → Formatted Response

Configuration

Environment Variables

SEARCH_API_KEY=your_search_api_key
AI_MODEL=gpt-4  # or other supported models
MAX_RESULTS=10  # number of sources to analyze
TIMEOUT=30000   # request timeout in milliseconds

Customization Options

  • Result Count: Adjust number of sources analyzed
  • Source Filters: Whitelist/blacklist specific domains
  • Language Preferences: Prioritize results in specific languages
  • Time Range: Filter results by date (past day, week, month, year)

Best Practices

When to Use Search Agent

✅ Current information not in training data ✅ Verifying facts or claims ✅ Researching new or niche topics ✅ Finding specific technical solutions ✅ Gathering multiple perspectives

When NOT to Use Search Agent

❌ Information already known to be in training data ❌ Personal or private information ❌ Highly sensitive queries ❌ When offline functionality is required

Limitations

  • Search Dependency: Requires internet connectivity
  • API Rate Limits: Subject to search API quotas
  • Source Availability: Limited by indexed web content
  • Real-time Lag: News may have slight delays
  • Language Support: Optimized for major languages

Privacy & Security

  • No Query Logging: User searches are not stored
  • Secure Connections: All API calls use HTTPS
  • Source Verification: Filters known malicious domains
  • Data Minimization: Only fetches necessary content

Integration

With Other Skills

  • findskills: Discover complementary skills
  • code-reviewer: Verify code solutions found
  • translator: Translate search results

API Usage

// Example: Using Search Agent programmatically
const searchAgent = require('search-agent');

const result = await searchAgent.search({
  query: "renewable energy trends 2024",
  type: "news",
  maxResults: 5
});

Version History

  • v1.0.0 (Current)

- Initial release - Multi-source search capability - AI-powered summarization - Citation tracking

Support & Feedback

For issues, feature requests, or contributions:

  • GitHub Issues: \[repository-url]
  • Documentation: \[docs-url]
  • Community: \[community-url]

License

MIT License - See LICENSE file for details

***

Keywords: search, research, web search, AI search, information retrieval, fact checking, news aggregation, academic search, code search, intelligent agent, knowledge discovery, source citation, automated research

平台分布

OpenClaw

93.16%
按下载量换算736

安全审计

VirusTotal

未展示

ClawScan

可疑

Static analysis

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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