Aggregate search results from multiple engines into unified JSON output.
npx skills add https://github.com/icyzh/hermes-web --skill searxng-search-icyzh
Please help me install this Agent Skill. Skill: searxng-search Source: https://github.com/icyzh/hermes-web/tree/main/optional-skills/research/searxng-search Command: npx skills add https://github.com/icyzh/hermes-web --skill searxng-search-icyzh
This skill solves the problem of fragmented search results and privacy concerns by aggregating data from over 70 search engines into a single, self-hosted or public interface.
Use the searxng search skill to find the latest documentation on python async programming and return the top five results.
High-intent search queries and answers about installing and using this skill.
Meta-search aggregation queries multiple engines simultaneously to provide comprehensive results. Using a self-hosted instance ensures search queries remain private and unlogged, solving privacy concerns while retrieving diverse information.
Yes, executing a meta-search query requires a configured SEARXNG_URL environment variable and curl for command-line execution. You must set these environment variables before aggregating results into the unified JSON format.
To perform deep research, use meta-search aggregation to simultaneously query over 70 search engines. This captures relevant results that a single search engine might miss, returning comprehensive data in a unified JSON format.
The best way to monitor news and look up technical documentation privately is using a self-hosted meta-search instance. It aggregates results from over 70 engines into a unified JSON format without logging your search queries.
Fragmented results occur if the SEARXNG_URL environment variable is incorrectly configured or curl is missing. Proper meta-search aggregation requires both dependencies to parse multiple search engine outputs into a unified JSON format successfully.
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