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osaurus-search

Automate web search retrieval with automatic backend selection and structured results.

54|9|Updated Nov 22, 2025
Search Tags:#automation#readability#search#grounding#web#data-retrieval#backend-selection
One-click install
npx skills add https://github.com/osaurus-ai/osaurus-tools --skill osaurus-search
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: osaurus-search
Source: https://github.com/osaurus-ai/osaurus-tools/tree/main/tools/search
Command: npx skills add https://github.com/osaurus-ai/osaurus-tools --skill osaurus-search

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Ground information retrieval by performing web searches with automatic backend selection.

Core Features & Use Cases

  • Automatic backend selection across free scrapers and paid APIs.
  • Supports factual queries, news, image search, and extraction workflows.
  • Returns structured results with rank, title, url, snippet, and provenance metadata.

Quick Start

Ask the AI to perform a web search for your query and let it auto-select the best backend.

Frequently Asked Questions about osaurus-search

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate web search backend selection for different query types?▼

Automating web search backend selection uses a pluggable mechanism to route queries to the best available provider, covering factual lookups, news gathering, and image search with automatic fallbacks.

What structured data format is returned from automated web search retrieval?▼

Automated web search retrieval returns structured results containing rank, title, url, snippet, published_date, source_domain, and engine metadata for grounding information extraction workflows.

Can I use free scrapers and paid search APIs interchangeably for data retrieval?▼

Yes, the backend selection mechanism supports both free scrapers and paid search APIs, automatically evaluating and routing queries to the optimal available provider for data retrieval.

How does web search fallback work when the primary backend fails?▼

Web search fallback operates through a pluggable backend selection mechanism that automatically switches to alternative providers when the primary engine fails or lacks relevant results.

Does automated web search support extraction workflows and news gathering?▼

Yes, automated web search supports extraction workflows and news gathering by selecting appropriate backends tailored for factual queries, image search, and content extraction tasks.

What is grounding in web search and how does backend selection improve it?▼

Grounding in web search anchors AI responses to real-time data, and backend selection improves it by routing queries to providers most likely to return authoritative, structured results with provenance metadata.

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