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desearch-ai-search研究 AI 搜索

Agent Skill

desearch-ai-search 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

19,535

周安装

798

GitHub Stars

2

下载量

6,320
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:desearch-ai-search(研究 AI 搜索)
来源仓库:https://github.com/okradze/desearch-ai-search
安装命令:
openclaw skills install desearch-ai-search
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 desearch-ai-search

简介

聚合多平台搜索结果,包括网络、Twitter、Reddit 与学术资源。

  • 适用于快速获取跨渠道信息与观点汇总的研究场景。desearch-ai-search 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 自动提取关键片段并生成结构化摘要,提升信息筛选效率。
  • 部分平台需 API 密钥支持,请确保凭据有效且未超限。
  • 结果可能包含主观内容,建议人工核实重要信息的准确性。

SKILL.md

name
desearch-ai-search
description
AI-powered search that aggregates and summarizes results from multiple sources including web, X/Twitter, Reddit, Hacker News, YouTube, ArXiv, and Wikipedia. Use this when you need a synthesized answer or curated links from across the internet and social platforms.
metadata
{"clawdbot":{"emoji":"🔎","homepage":"https://desearch.ai","requires":{"env":["DESEARCH_API_KEY"]}}}

AI Search By Desearch

AI-powered multi-source search that aggregates results from web, Reddit, Hacker News, YouTube, ArXiv, Wikipedia, and X/Twitter — returning either summarized answers or curated links.

Quick Start

  1. Get an API key from https://console.desearch.ai
  2. Set environment variable: export DESEARCH_API_KEY='your-key-here'

Usage

# AI contextual search (summarized results from multiple sources)
desearch.py ai_search "What is Bittensor?" --tools web,reddit,youtube

# AI web link search (curated links from specific sources)
desearch.py ai_web "machine learning papers" --tools arxiv,web,wikipedia

# AI X/Twitter link search (curated post links)
desearch.py ai_x "crypto market trends" --count 20

Commands

CommandDescription
ai_searchAI-summarized search across multiple sources. Returns aggregated results with context.
ai_webAI-curated link search. Returns the most relevant links from chosen sources.
ai_xAI-powered X/Twitter search. Returns the most relevant post links for a topic.

Options

OptionDescriptionApplies to
--tools, -tSources to search: web, hackernews, reddit, wikipedia, youtube, arxiv, twitter (comma-separated)Both
--count, -nNumber of results (default: 10, max: 200)All
--date-filterTime filter: PAST_24_HOURS, PAST_2_DAYS, PAST_WEEK, PAST_2_WEEKS, PAST_MONTH, PAST_2_MONTHS, PAST_YEAR, PAST_2_YEARSai_search

Examples

Research a topic with AI summary

desearch.py ai_search "What are the latest developments in quantum computing?" --tools web,arxiv,reddit

Find academic papers

desearch.py ai_web "transformer architecture improvements 2026" --tools arxiv,web

Get recent news from multiple sources

desearch.py ai_search "AI regulation news" --tools web,hackernews,reddit --date-filter PAST_WEEK

Find YouTube tutorials

desearch.py ai_web "learn rust programming" --tools youtube,web

AI-curated X/Twitter links on a topic

desearch.py ai_x "latest AI breakthroughs" --count 20

Response

Example (truncated)

{
  "tweets": [
    {
      "id": "2023465890369728573",
      "text": "Superposition allows qubits to encode multiple possibilities...",
      "url": "https://x.com/rukky_003/status/2023465890369728573",
      "created_at": "2026-02-16T18:33:57.000Z",
      "like_count": 5,
      "retweet_count": 0,
      "view_count": 155,
      "reply_count": 0,
      "quote_count": 2,
      "lang": "en",
      "is_retweet": false,
      "is_quote_tweet": true,
      "media": [],
      "user": {
        "id": "1316260427190472704",
        "username": "rukky_003",
        "name": "RuqoCrypto 🧠",
        "url": "https://x.com/rukky_003",
        "followers_count": 2424,
        "verified": false,
        "is_blue_verified": true
      }
    }
  ],
  "search": [
    {
      "title": "What Is Quantum Computing? | IBM",
      "link": "https://www.ibm.com/think/topics/quantum-computing",
      "snippet": "Quantum computers take advantage of quantum mechanics..."
    }
  ],
  "miner_link_scores": {
    "2023465890369728573": "HIGH",
    "https://www.ibm.com/think/topics/quantum-computing": "MEDIUM"
  },
  "completion": "Quantum computing uses qubits that leverage superposition and entanglement to compute in fundamentally different ways than classical computers..."
}

Notes

  • miner_link_scores keys are tweet IDs for Twitter results and full URLs for web results. Values are "HIGH", "MEDIUM", or "LOW".
  • media is always an array; empty [] when no media is attached.
  • completion is always a string; empty string "" if summarization fails.

Errors

Status 401, Unauthorized (e.g., missing/invalid API key)

{
  "detail": "Invalid or missing API key"
}

Status 402, Payment Required (e.g., balance depleted)

{
  "detail": "Insufficient balance, please add funds to your account to continue using the service."
}

Resources

适合场景

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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

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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

77.75%
按下载量换算4,914

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

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。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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