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research

Automate structured research investigations with an 11-step evidence-based process.

8|1|Updated Mar 30, 2026
Search Tags:#claim verification#structured research#query answering#document fact-checking#evidence archive
One-click install
npx skills add https://github.com/diogenes-project/diogenes --skill research-diogenes-project
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/diogenes-project/diogenes/tree/main/skills/research
Command: npx skills add https://github.com/diogenes-project/diogenes --skill research-diogenes-project

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dio_search, dio_fetch, dio_init_run, dio_flush_events, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a structured research investigation platform capable of claim verification, query answering, and document fact-checking, with comprehensive evidence archive output.

Core Features & Use Cases

  • Claim Verification: Investigate whether each claim is true, false, or partially true.
  • Query Answering: Answer research questions with evidence and confidence.
  • Document Fact-Checking: Verify the accuracy of documents using a comprehensive evidence base.
  • Use Case: Imagine you want to verify a claim about a new AI technology. You can input the claim into the Skill, and it will run a structured investigation to determine the validity of the claim, providing a full evidence archive.

Quick Start

Run research with the provided input file 'research-input.md'.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate claim verification for a research document?▼

Claim verification is automated using an 11-step evidence-based process to investigate whether claims are true, false, or partially true. It analyzes your input documents and outputs a comprehensive evidence archive.

What is the best way to fact-check a document using structured research?▼

Structured document fact-checking is handled by verifying document accuracy against a comprehensive evidence base. It determines the validity of statements within the document and generates an evidence archive.

How does query answering work for research investigations?▼

Query answering executes research investigations to answer your questions with supporting evidence and a confidence score. It uses sub-agents and an 11-step process to analyze the query.

Do I need sub-agents to run structured research investigations?▼

Yes, structured research investigations require various sub-agents to handle different research components. These sub-agents execute the 11-step evidence-based process for claim verification and query answering.

How do I start an evidence archive investigation with an input file?▼

Start an evidence archive investigation by running the research process with your provided input file named 'research-input.md'. The Skill processes this file to execute the structured investigation.

What are the limitations of using an 11-step evidence-based research process?▼

The 11-step evidence-based research process requires multiple sub-agents to function, meaning it needs a robust environment to execute its structured investigation and generate the final evidence archive output.

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