重要前提
安装AI Skills的关键前提是:必须科学上网,且开启TUN模式,这一点至关重要,直接决定安装能否顺利完成,在此郑重提醒三遍:科学上网,科学上网,科学上网。查看完整安装教程 →
desearch-ai-search by desearch-ai/desearch-openclaw-skills
npx skills add https://github.com/desearch-ai/desearch-openclaw-skills --skill desearch-ai-searchAI 驱动的多源搜索,聚合来自网络、Reddit、Hacker News、YouTube、ArXiv、维基百科和 X/Twitter 的结果——返回摘要答案或精选链接。
export DESEARCH_API_KEY='your-key-here'# AI 上下文搜索(来自多个来源的摘要结果)
desearch.py ai_search "What is Bittensor?" --tools web,reddit,youtube
# AI 网络链接搜索(来自特定来源的精选链接)
desearch.py ai_web "machine learning papers" --tools arxiv,web,wikipedia
# AI X/Twitter 链接搜索(精选帖子链接)
desearch.py ai_x "crypto market trends" --count 20
| 命令 | 描述 |
|---|---|
ai_search | 跨多个来源的 AI 摘要搜索。返回带有上下文的聚合结果。 |
ai_web |
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| AI 精选链接搜索。返回所选来源中最相关的链接。 |
ai_x | AI 驱动的 X/Twitter 搜索。返回某个主题最相关的帖子链接。 |
| 选项 | 描述 | 适用于 |
|---|---|---|
--tools, -t | 要搜索的来源:web, hackernews, reddit, wikipedia, youtube, arxiv, twitter(逗号分隔) | 两者 |
--count, -n | 结果数量(默认:10,最大:200) | 全部 |
--date-filter | 时间过滤器:PAST_24_HOURS, PAST_2_DAYS, PAST_WEEK, PAST_2_WEEKS, PAST_MONTH, PAST_2_MONTHS, PAST_YEAR, PAST_2_YEARS | ai_search |
desearch.py ai_search "What are the latest developments in quantum computing?" --tools web,arxiv,reddit
desearch.py ai_web "transformer architecture improvements 2026" --tools arxiv,web
desearch.py ai_search "AI regulation news" --tools web,hackernews,reddit --date-filter PAST_WEEK
desearch.py ai_web "learn rust programming" --tools youtube,web
desearch.py ai_x "latest AI breakthroughs" --count 20
{
"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..."
}
miner_link_scores 的键对于 Twitter 结果是推文 ID,对于网络结果是完整 URL。值为 "HIGH"、"MEDIUM" 或 "LOW"。media 始终是一个数组;当没有附加媒体时为空的 []。completion 始终是一个字符串;如果摘要生成失败则为空字符串 ""。状态 401,未授权(例如,缺少/无效的 API 密钥)
{
"detail": "Invalid or missing API key"
}
状态 402,需要付款(例如,余额耗尽)
{
"detail": "Insufficient balance, please add funds to your account to continue using the service."
}
每周安装数
1
代码仓库
GitHub 星标数
2
首次出现
1 天前
安全审计
安装于
amp1
cline1
openclaw1
opencode1
cursor1
kimi-cli1
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.
export DESEARCH_API_KEY='your-key-here'# 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
| Command | Description |
|---|---|
ai_search | AI-summarized search across multiple sources. Returns aggregated results with context. |
ai_web | AI-curated link search. Returns the most relevant links from chosen sources. |
ai_x | AI-powered X/Twitter search. Returns the most relevant post links for a topic. |
| Option | Description | Applies to |
|---|---|---|
--tools, -t | Sources to search: web, hackernews, reddit, wikipedia, youtube, arxiv, twitter (comma-separated) | Both |
desearch.py ai_search "What are the latest developments in quantum computing?" --tools web,arxiv,reddit
desearch.py ai_web "transformer architecture improvements 2026" --tools arxiv,web
desearch.py ai_search "AI regulation news" --tools web,hackernews,reddit --date-filter PAST_WEEK
desearch.py ai_web "learn rust programming" --tools youtube,web
desearch.py ai_x "latest AI breakthroughs" --count 20
{
"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..."
}
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.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."
}
Weekly Installs
1
Repository
GitHub Stars
2
First Seen
1 day ago
Security Audits
Gen Agent Trust HubPassSocketPassSnykWarn
Installed on
amp1
cline1
openclaw1
opencode1
cursor1
kimi-cli1
超能力技能使用指南:AI助手技能调用优先级与工作流程详解
55,300 周安装
--count, -n | Number of results (default: 10, max: 200) | All |
--date-filter | Time filter: PAST_24_HOURS, PAST_2_DAYS, PAST_WEEK, PAST_2_WEEKS, PAST_MONTH, PAST_2_MONTHS, PAST_YEAR, PAST_2_YEARS | ai_search |