Validate data attribution, citation accuracy, and source classification in research outputs.
npx skills add https://github.com/Wizarck/iguanatrader --skill qa-research
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
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.
Provide the research document or dataset to validate and run the QA workflow to generate actionable feedback.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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