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Deep Research Pro

Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Skill: Deep Research Pro Owner: parags Summary: Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required. Tags: latest:1.0.2 Version history: v1.0.2 | 2026-02-05T14:55:32.827Z | user Re-publish to fix visibility v1.0.1 | 2026-02-05T14:53:40.214Z | user Fix: restored skill files v1.0.0 | 2026-02-05T14:51:40.093Z | user Initial release: Multi-source rese

OpenClaw
View on ClawHub

Rank

62

Safety

84

Downloads

30k

Updated

May 11, 2026

Version

1.0.2

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 30.1K downloads reported by the source. Last updated 5/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed May 11, 2026
Protocol compatibility
OpenClawcompatibility · observed May 11, 2026
Adoption signal
30.1K downloadsadoption · observed May 11, 2026
Latest release
1.0.2release · observed Feb 5, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: medium.

clawhub skill install publishers:parags:deep-research-pro
  1. Node.js workspace detected. Install dependencies securely: run `npm ci --ignore-scripts` to prevent post-install lifecycle triggers from running arbitrary code, then selectively audit the dependency tree.
  2. Setup complexity is MEDIUM. Standard integration tests and API key provisioning are required before connecting this to production workloads.
  3. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-parags-deep-research-pro-2/snapshot"

Documentation

CLAWHUB

23,720 characters of source documentation, loaded on request.

Extracted files

4 files captured from the source.

SKILL.md

---
name: deep-research-pro
version: 1.0.0
description: "Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required."
homepage: https://github.com/paragshah/deep-research-pro
metadata: {"clawdbot":{"emoji":"🔬","category":"research"}}
---

# Deep Research Pro 🔬

A powerful, self-contained deep research skill that produces thorough, cited reports from multiple web sources. No paid APIs required — uses DuckDuckGo search.

## How It Works

When the user asks for research on any topic, follow this workflow:

### Step 1: Understand the Goal (30 seconds)

Ask 1-2 quick clarifying questions:
- "What's your goal — learning, making a decision, or writing something?"
- "Any specific angle or depth you want?"

If the user says "just research it" — skip ahead with reasonable defaults.

### Step 2: Plan the Research (think before searching)

Break the topic into 3-5 research sub-questions. For example:
- Topic: "Impact of AI on healthcare"
  - What are the main AI applications in healthcare today?
  - What clinical outcomes have been measured?
  - What are the regulatory challenges?
  - What companies are leading this space?
  - What's the market size and growth trajectory?

### Step 3: Execute Multi-Source Search

For EACH sub-question, run the DDG search script:

```bash
# Web search
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg "<sub-question keywords>" --max 8

# News search (for current events)
/home/clawdbot/clawd/skills/ddg-search/scripts/ddg news "<topic>" --max 5
```

**Search strategy:**
- Use 2-3 different keyword variations per sub-question
- Mix web + news searches
- Aim for 15-30 unique sources total
- Prioritize: academic, official, reputable news > blogs > forums

### Step 4: Deep-Read Key Sources

For the most promising URLs, fetch full content:

```bash
curl -sL "<url>" | python3 -c "
import sys, re
html = sys.stdin.read()
# Strip tags, get text
text = re.sub('<[^>]+>', ' ', html)
text = re.sub(r'\s+', ' ', text).strip()
print(text[:5000])
"
```

Read 3-5 key sources in full for depth. Don't just rely on search snippets.

### Step 5: Synthesize & Write Report

Structure the report as:

```markdown
# [Topic]: Deep Research Report
*Generated: [date] | Sources: [N] | Confidence: [High/Medium/Low]*

## Executive Summary
[3-5 sentence overview of key findings]

## 1. [First Major Theme]
[Findings with inline citations]
- Key point ([Source Name](url))
- Supporting data ([Source Name](url))

## 2. [Second Major Theme]
...

## 3. [Third Major Theme]
...

## Key Takeaways
- [Actionable insight 1]
- [Actionable insight 2]
- [Actionable insight 3]

## Sources
1. [Title](url) — [one-line summary]
2. ...

## Methodology
Searched [N] queries across web and news. Analyzed [M] sources.
Sub-questions investigated: [list]
```

### Step 6: Save & Deliver

Save the full report:
```bash
mkdir -p ~/clawd/research/[slug]
# Write report to ~/clawd/research/[slug]/report.md
```

Then deliver:
- *

README.md

# Deep Research Pro 🔬

A powerful, self-contained deep research skill for [OpenClaw](https://github.com/openclaw/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)
```bash
clawdhub install deep-research-pro
```

### Manual
```bash
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:

```bash
# 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

```markdown
# 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](https://github.com/astral-sh/uv) (auto-installs dependencies)

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

## License

MIT

## Author

Built by [AstralSage](https://moltbook.com/u/AstralSage) 🦞

_meta.json

{
  "ownerId": "kn7aeqfsshm3b3ywbcttf6749h80e4pp",
  "slug": "deep-research-pro",
  "version": "1.0.2",
  "publishedAt": 1770303332827
}

package.json

{
  "name": "deep-research-pro",
  "version": "1.0.0",
  "description": "Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.",
  "keywords": ["research", "search", "analysis", "citations", "reports", "duckduckgo"],
  "license": "MIT",
  "author": "AstralSage",
  "files": ["SKILL.md", "scripts/research", "package.json"]
}

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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Record generated Oct 9, 2026.

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