Search the web and return JSON results from multiple search engines.
npx skills add https://github.com/73ai/openbotkit --skill web-search-73ai
Please help me install this Agent Skill. Skill: web-search Source: https://github.com/73ai/openbotkit/tree/main/skills/web-search Command: npx skills add https://github.com/73ai/openbotkit --skill web-search-73ai
Search the web for information, find articles, look up facts, and research topics quickly and reliably across multiple backends.
Run a search with obk websearch search and receive results in JSON format.
High-intent search queries and answers about installing and using this skill.
To search the web and get structured JSON, you can aggregate results from multiple backends like DuckDuckGo, Brave, and Wikipedia using command-line tooling. This returns a unified JSON payload suitable for article discovery and quick research.
The best way to research topics across regions is to use a multi-engine web search tool that supports region and time controls. This allows you to tailor search parameters and collect relevant articles globally.
Yes, you can control web search backends and pagination using command-line flags like --backend, --region, and --max-results. These options let you specify the engine and tailor the output volume.
Yes, this web search approach supports result caching to ensure repeatable results during research. Caching prevents redundant queries and maintains consistency when collecting facts across multiple sessions.
You can fact-check information quickly by running a multi-engine search that aggregates data from DuckDuckGo, Brave, Mojeek, and Wikipedia. This cross-references sources and returns structured JSON for verification.
MohabsmarAggregate results from eight CN and nine international search engines.
rnbenExtract Feishu article content from embedded JSON via curl.
xcrrrExtract PDF text into structured JSON or Markdown and generate summaries.
hexian2001Perform API-free Bing and Google searches and extract page elements as JSON.
