anysearch-ai/anysearch-skill

Unified real-time search engine skill for AI agents. Supports general web search, vertical domain search, parallel batch search, and full-page content...

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Summary Information

Updated 5 minutes ago
Added to GitGenius on September 10th, 2026
Created on April 30th, 2026
Open Issues & Pull Requests: 1 (+0)
GitHub issues: Enabled
Number of forks: 359
Total Stargazers: 6,159 (+0)
Total Subscribers: 46 (+0)

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Detailed Description

AnySearch Skill is a unified real-time search engine skill for AI agents that integrates web search, vertical domain search, parallel batch search, and full-page content extraction capabilities.

The tool addresses the need for AI agents to access current information from the web in real time. It provides a single interface that agents can call to perform general web searches, search within specific domains, execute multiple searches in parallel, and extract complete page content. The skill is designed to integrate with agent platforms through skill marketplaces or manual installation into agent skill directories, with support for platforms including Codex, Cursor, and OpenClaw.

Developers should adopt this tool if they are building AI agents that require real-time web access. It suits projects where agents need to augment their knowledge with current information or retrieve specific content from the web. The tool offers both authenticated access via API key and anonymous access, though authenticated users receive higher rate limits and quota. Registration requires only an email address with no verification code needed, and the agent can complete the process automatically. The skill can be installed from marketplace stores where available or manually placed in a shared skill directory for use across multiple AI tools.

The project maintains active development with regular updates to its core functionality and documentation. The tool includes comprehensive error handling for registration scenarios, distinguishing between invalid input, duplicate accounts, rate limiting, and server errors with specific recovery instructions for each case. Installation verification is built into the workflow with entry tests and runtime detection that prioritizes Python over Node.js over Shell environments.