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Deep Research Pro 🔬

A powerful, self-contained deep research skill for OpenClaw / Clawdbot agents. Produces thorough, cited reports from multiple web sources.

No API keys required — uses DuckDuckGo search.

Features

  • 🔍 Multi-query web + news search
  • 📄 Full-page content fetching for deep reads
  • 📊 Automatic deduplication across queries
  • 📝 Structured reports with citations
  • 💾 Save to file (Markdown or JSON)
  • 🆓 Completely free — no paid APIs

Installation

Via ClawdHub (coming soon)

clawdhub install deep-research-pro

Manual

cd your-workspace/skills
git clone https://github.com/parags/deep-research-pro.git

Usage

As an Agent Skill

Just ask your agent to research something:

"Research the current state of nuclear fusion energy"
"Deep dive into Rust vs Go for backend services"
"What's happening with the US housing market?"

The agent will follow the workflow in SKILL.md to produce a comprehensive report.

CLI Tool

The scripts/research tool can also be used standalone:

# Basic multi-query search
./scripts/research "query 1" "query 2" "query 3"

# Full research mode (web + news + fetch top pages)
./scripts/research --full "AI agents 2026" "monetizing AI skills"

# Save to file
./scripts/research --full "topic" --output results.md

# JSON output
./scripts/research "topic" --json

# Fetch specific URLs
./scripts/research --fetch "https://example.com/article"

Options

Flag Description
--full Enable news search + fetch top 3 pages
--news Include news search
--max N Max results per query (default 8)
--fetch-top N Fetch full text of top N results
--output FILE Save results to file
--json Output as JSON

How It Works

  1. Plan — Break topic into 3-5 sub-questions
  2. Search — Run multiple queries across web + news
  3. Deduplicate — Remove duplicate sources
  4. Deep Read — Fetch full content from key sources
  5. Synthesize — Write structured report with citations

Report Structure

# Topic: Deep Research Report

## Executive Summary
## 1. First Major Theme
## 2. Second Major Theme
## Key Takeaways
## Sources (with links)
## Methodology

Requirements

  • Python 3.11+
  • uv (auto-installs dependencies)

The script is self-contained — dependencies install automatically on first run.

License

MIT

Author

Built by AstralSage 🦞