gpt-researcher

Name: gpt-researcher
Availability: InStock
Author: taiyousan15

Generate comprehensive cited research reports from validated web sources.

Updated Aug 27, 2026

Search Tags:#research #validation #web search #reporting #data analysis #gpt

Ready to run

npx skills add https://github.com/taiyousan15/taisun_agent --skill gpt-researcher-taiyousan15

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: gpt-researcher
Source: https://github.com/taiyousan15/taisun_agent/tree/main/.claude/skills/gpt-researcher
Command: npx skills add https://github.com/taiyousan15/taisun_agent --skill gpt-researcher-taiyousan15

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of conducting in-depth research, overcoming the limitations of standard web searches by autonomously exploring, validating, and synthesizing information from numerous sources to generate comprehensive, cited reports.

Core Features & Use Cases

Autonomous Deep Research: Explores and validates a vast number of sources for relevance and accuracy.
Structured Reporting: Generates detailed reports with proper citations.
Source Validation: Focuses on trusted and up-to-date information, filtering out irrelevant content.
Use Case: Ideal for market analysis, technical deep dives, literature reviews, and generating comprehensive research reports on any topic.

Quick Start

Use the gpt-researcher skill to perform a deep research on AI coding agents.

Frequently Asked Questions about gpt-researcher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I automate deep research and generate reports with source validation?▼

Automating deep research involves exploring and validating numerous sources to generate comprehensive reports with citations. This process filters out irrelevant content to focus on trusted, up-to-date information, eliminating manual validation.

What is the best way to structure a literature review or market analysis using web search results?▼

Structuring a literature review or market analysis requires synthesizing validated web search results into detailed reports with proper citations. Autonomous research tools filter raw search results to ensure only trusted, relevant content is included.

Do I need API keys to perform autonomous web research and data analysis?▼

Yes, autonomous web research and data analysis require OpenAI and Tavily API keys. These keys enable the LLM processing and web search functionalities needed to explore, validate, and synthesize numerous sources.

Can I use this approach for technical deep dives and generating cited research reports?▼

Yes, this approach is ideal for technical deep dives, market analysis, and literature reviews. It autonomously explores and validates a vast number of sources for relevance and accuracy to generate comprehensive, cited research reports.

How does source validation work when generating comprehensive research reports?▼

Source validation works by autonomously exploring numerous web sources and filtering out irrelevant content. This ensures that the final comprehensive research reports contain only trusted, accurate, and up-to-date information with proper citations.

What are the limitations of using automated reporting for deep research?▼

Automated reporting for deep research relies on external API keys for LLM and web search functionalities. Its effectiveness is constrained by the availability and rate limits of these services, though it successfully eliminates manual source validation.