search-sh

Name: search-sh
Availability: InStock
Author: EloPhanto

Retrieve web search results with sources, citations, and confidence scores.

116|9|Updated Feb 18, 2026

Search Tags:#ai #citations #web-search #structured-results #information-retrieval

Ready to run

npx skills add https://github.com/elophanto/EloPhanto --skill search-sh

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: search-sh
Source: https://github.com/elophanto/EloPhanto/tree/main/skills/search-sh
Command: npx skills add https://github.com/elophanto/EloPhanto --skill search-sh

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Retrieves and structures web search results for AI agents.

Core Features & Use Cases

Web search with structured outputs including answer, sources (title, URL, snippet), and citations with attribution.
Two tools: web_search for synthesized results and web_extract for full-page content extraction.
Use Cases: market research, competitor analysis, trend tracking, and current information gathering.

Quick Start

Ask the AI to perform a web_search with your query and return structured results.

Frequently Asked Questions about search-sh

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

FAQPage Schema

How do I get structured web search results with citations for AI agents?▼

You can get structured web search results with citations by using a tool that synthesizes queries into an answer, sources, and a confidence score. This provides titled URLs and snippets to support market research or competitive analysis.

What is the best way to extract full-page content during web research?▼

Full-page content extraction is best handled by a dedicated web extraction tool. It retrieves full-page content alongside synthesized search results, enabling deeper information retrieval and current information gathering for AI agents.

Can I use structured search results for market research and competitive analysis?▼

Structured search results can be used for market research and competitive analysis. The process gathers current information across various topics, returning synthesized answers and source attributions suitable for tracking market trends and competitors.

Does web search for AI agents return a confidence score with sources?▼

Web search for AI agents returns a confidence score along with sources. The output includes the answer, citations with attribution, and source details like title, URL, and snippet to verify the retrieved information.

When do I need structured information retrieval instead of standard web search?▼

Structured information retrieval is needed instead of standard web search when an AI agent requires formatted outputs for automated processing. It delivers synthesized answers with citations and confidence scores, enabling agents to parse and attribute sources reliably.