name: valyu-search description: "Use Valyu (valyu.ai) to search the web, extract content from web pages, answer with sources, and do deepresearch." metadata: {"openclaw":{"emoji":"🔎","requires":{"bins":["node"],"env":["VALYU_API_KEY"]},"primaryEnv":"VALYU_API_KEY","homepage":"https://docs.valyu.ai"}}
Search across the world's knowledge.
Trigger this skill when the user asks for: - "search the web", "web search", "look up", "find online", "find papers on..." - "current news about...", "latest updates on..." - "research [topic]", "what's happening with...", "deep research on..." - "extract content from [URL]", "scrape this page", "get the text from..." - "answer this with sources", "what does the research say about..." - Fact-checking with citations needed - Academic, medical, financial, or patent research - Structured data extraction from web pages
VALYU_API_KEY in the Gateway environment (recommended) or in ~/.openclaw/.env.Run a search across the web:
node {baseDir}/scripts/valyu.mjs search web "<query>"
Search across news, academic papers, financial data, patents and more
node {baseDir}/scripts/valyu.mjs search news "<query>"
| Parameter | Type | Description |
|---|---|---|
query |
string | Search query (required) |
searchType |
string | "web", "proprietary", "news", or "all" (default: "all") |
maxNumResults |
number | 1-20 (default: 10) |
includedSources |
string[] | Limit to specific sources (e.g., ["valyu/valyu-arxiv"]) |
excludedSources |
string[] | Exclude specific sources |
startDate |
string | Filter from date (YYYY-MM-DD) |
endDate |
string | Filter to date (YYYY-MM-DD) |
countryCode |
string | ISO 3166-1 alpha-2 (e.g., "US", "GB") |
responseLength |
string | "short", "medium", "large", "max" |
fastMode |
boolean | Reduced latency mode |
category |
string | Natural language category (e.g., "academic research") |
relevanceThreshold |
number | 0.0-1.0 (default: 0.5) |
想要更强大的技能插件,就来小葱技能站7w4.net看看吧。
| Source | Description |
|---|---|
valyu/valyu-arxiv |
Academic papers from arXiv |
valyu/valyu-pubmed |
Medical and life science literature |
valyu/valyu-stocks |
Global stock market data |
Additional sources: BioRxiv, MedRxiv, clinical trials, FDA drug labels, WHO health data, SEC filings, USPTO patents, Wikipedia, UK Parliament, UK National Rail, maritime vessel tracking, and more.
Extract clean, structured content from any URL. Converts web pages to markdown or structured data.
node {baseDir}/scripts/valyu.mjs contents "https://example.com" --summary
| Parameter | Type | Description |
|---|---|---|
urls |
string[] | Array of URLs to extract (required) |
responseLength |
string | Output length: "short", "medium", "large", "max" |
extractEffort |
string | "auto", "lightweight", "moderate", "heavy" |
jsonSchema |
object | JSON Schema for structured extraction |
Get AI-generated answers grounded in real-time search results with citations.
node {baseDir}/scripts/valyu.mjs answer "What is quantum computing?" --fast
| Parameter | Type | Description |
|---|---|---|
query |
string | Question or query (required) |
searchType |
string | Search scope: "web", "proprietary", "news", "all" |
outputSchema |
object | JSON Schema for structured responses |
Launch async, multi-step research tasks that produce detailed reports with citations.
| Mode | Duration | Use Case |
|---|---|---|
fast |
~5 min | Quick answers, lightweight research |
standard |
~10-20 min | Balanced research with deeper insights |
heavy |
~90 min | In-depth, complex analysis |
node {baseDir}/scripts/valyu.mjs deepresearch create "AI market trends" --mode heavy --pdf
| Parameter | Type | Description |
|---|---|---|
query |
string | Research query (required) |
mode |
string | "fast", "standard", "heavy" |
outputFormats |
array | ["markdown"], ["pdf"], or JSON Schema object |
files |
array | File attachments (base64 encoded, max 10) |
urls |
string[] | URLs to analyze (max 10) |
webhookUrl |
string | HTTPS URL for completion notification |
| Need | API |
|---|---|
| Quick facts, current events, citations | Search |
| Read/parse a specific URL | Contents |
| AI-synthesized answer with sources | Answer |
| In-depth analysis or report | DeepResearch |
这个 Skill 质量不错,功能丰富,文档写得很详细,小白也能看懂。集成了网页搜索、学术论文查找、内容提取等实用功能,对需要做研究或查资料的用户很有帮助。美中不足的是没有示例文件,遇到问题时缺少参考,而且部分高级功能的设置稍微复杂,需要仔细阅读说明才能用好。