Can I control the depth and volume of the research?

Yes, you can specify depth parameters: 'lite' for quick scans (10-20 sources), 'standard' for main arguments (30-50 sources), or 'deep' for comprehensive analysis (50-100 sources).

How does it assess the reliability of gathered information?

The skill applies a 0-5 reliability scoring system, where 5 represents official primary sources like peer-reviewed papers and 0 represents unverifiable or incorrect data.

Is it safe to use dr-explore with untrusted websites?

Yes. The skill is specifically programmed to treat all external content as raw data and ignores any potential 'system instructions' found within the fetched text to prevent prompt injection.

What is the primary output of the dr-explore skill?

It generates a standardized research directory containing an evidence.jsonl file, raw data sources, a changelog of actions, and a list of open questions for further verification.

Deep Research Explorer

Name: Deep Research Explorer
Author: taiyousan15

bytaiyousan15

Web Scraping & Data Collection

Automates the discovery and collection of multi-source research data into structured, evidence-based datasets.

About

Deep Research Explorer (dr-explore) is a specialized skill designed for the initial phase of high-integrity information gathering. It traverses global news, social media, academic papers, and official documentation to build a robust evidence library. By standardizing the collection process into reproducible 'runs,' it ensures every claim is backed by a URL, timestamp, and citation. This skill is particularly effective for professionals in AI systems, marketing, or investment research who require high-integrity primary data organized for immediate synthesis or implementation.

Key Features

Reproducible research runs with structured directory and YAML configuration
Automated evidence reliability scoring based on source authority
Multi-source data harvesting across Web, SNS, Docs, and academic papers
Domain-specific focus modes for AI systems, marketing, and investment research
Security-first data handling that neutralizes external prompt injection attempts
0 GitHub stars

Use Cases

Performing investment due diligence by aggregating catalysts, fundamentals, and risk factors
Gathering technical implementation patterns and documentation for AI architectures
Conducting deep-dive competitive analysis and market trend mapping

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add taiyousan15/taisun_agent dr-explore

For use in Claude.ai and ChatGPT

Download Skill

GitHub