What problem does it solve? Agents often need live web data but raw curl or wget fails on JavaScript-rendered pages, encoding issues, and unguarded requests. This Skill routes all web research through the blowsh MCP server, which handles JS rendering, SSRF protection, and budget-aware fetching. ## Core Features & Use Cases - Rendered Web Search: Query DuckDuckGo, Bing, Brave, and Mojeek with cross-engine consensus, intent modes (code, paper, news, entity), and parallel query variants. - JS-Rendered Fetching: Read single pages or batches of up to 10 URLs as text, HTML, Markdown, or PDF, with token-saving options like BM25 focus filtering, table-of-contents outlines, and Wayback Machine rescue. - Sitemap-Aware Crawling: Map and extract multi-page documentation sites with depth, page, character, and deadline budgets plus resumable crawls. - Use Case: For deep research on a technical question, run the Spider-Search workflow: plan sub-questions, sweep with parallel searches, probe pages cheaply, batch-fetch the winners, follow links, and produce a fully cited answer. ## Quick Start Use the blowsh skill to search the web for the latest documentation on a topic and fetch the top three pages as markdown with citations.