qa-research

Validate data attribution, citation accuracy, and source classification in research outputs.

Updated Apr 26, 2026

Search Tags:#research #validation #verification #citations #data-integrity #sources #urls

Ready to run

npx skills add https://github.com/Wizarck/iguanatrader --skill qa-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: qa-research
Source: https://github.com/Wizarck/iguanatrader/tree/main/skills/qa-research
Command: npx skills add https://github.com/Wizarck/iguanatrader --skill qa-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Validates research data integrity and citation accuracy, ensures correct source classification, and verifies external URLs for offering research files. Use after processing new research inputs or updating 00_Research/ files.

Core Features & Use Cases

Data Attribution validation: every figure or claim is tied to a specific source and line reference.
Source Classification and URL Verification: clearly label internal vs external sources and ensure URLs are accessible.
Consistency and Gap Detection: flag mismatches between cited data and sources and generate actionable feedback for researchers.

Quick Start

Provide the research document or dataset to validate and run the QA workflow to generate actionable feedback.

Frequently Asked Questions about qa-research

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

FAQPage Schema

How do I verify research data attribution and citation accuracy in my documents?▼

To verify research data attribution, you can run a validation workflow that checks citation accuracy and ensures every claim is tied to a specific source and line reference. This process outputs a structured report highlighting gaps and inconsistencies.

What is the best way to check if external URLs in my research sources are accessible?▼

Checking external URLs for accessibility is handled by applying automated verification checks to your research files. The system classifies internal versus external sources and tests external links, generating feedback on inaccessible URLs.

How do I detect inconsistencies between cited data and original sources?▼

Detecting mismatches between cited data and sources requires a consistency check workflow. This identifies gaps where data points lack traceable references, flagging mismatches and generating recommended corrections for your research outputs.

Can I validate research file integrity without writing custom scripts?▼

Yes, you can validate research file integrity by providing the document or dataset directly to a structured QA workflow. The process automatically applies checks to internal references and external URLs to ensure data is traceable.

When should I run a citation validation report for my research pipeline?▼

You should run a citation validation report after processing new research inputs or updating research files. This ensures any newly added data points maintain correct source classification and verifiable attribution before downstream processing.