deep-scout

What This Skill Does

The deep-scout skill is a high-performance research engine integrated directly into OpenClaw. It functions as a sophisticated multi-stage pipeline—Search, Filter, Fetch, and Synthesize—designed to transform vague research queries into structured, high-quality intelligence reports. Unlike simple search tools, deep-scout performs automated validation, ensuring that only highly relevant, high-scoring sources are included in your final report. By leveraging a tiered fetching strategy (web-fetch, Firecrawl, and browser automation), it ensures maximum success rates even with complex or JavaScript-heavy websites. It is the ultimate tool for turning vast internet data into digestible knowledge.

Installation

You can install deep-scout instantly by telling OpenClaw: "Install the deep-scout skill." Alternatively, for terminal users, execute clawhub install deep-scout. The repository is managed under openclaw/skills/skills/jonathanjing/deep-scout.

Use Cases

• Market Analysis: Generate competitive landscape reports by comparing features and pricing across multiple company websites.
• Technical Research: Extract deep summaries from documentation, blog posts, and technical journals while citing specific sources.
• Fact Finding: Quickly verify claims or track historical timelines on public events using the customizable freshness flags.
• Trend Forecasting: Synthesize disparate news articles into a coherent bulleted report on emerging industry shifts.

Example Prompts

1. "/deep-scout "What are the current limitations of quantum error correction in 2024?" --depth 8 --freshness py"
2. "/deep-scout "Compare the performance benchmarks of Llama 3 vs GPT-4o" --style comparison --dimensions speed,cost,context_window"
3. "/deep-scout "Recent advancements in vertical farming technologies" --country US --depth 5"

Tips & Limitations

• Depth Matters: Increasing the --depth flag improves the comprehensiveness of your report but increases latency. For quick summaries, keep it at 3.
• Style Options: Choose a style that matches your output needs. Use comparison for side-by-side data, or timeline for historical context.
• Connectivity: This tool relies on network access and external APIs. Ensure your Firecrawl credentials are configured if you are targeting heavily interactive web pages.
• Cost Considerations: Because deep-scout utilizes an LLM for multi-stage processing, it consumes more tokens than a standard web search. Monitor your usage if you have strict budget constraints.