f5

Checks citation preservation, statistical accuracy, meaning retention and academic tone in transformed texts.

5|2|Updated Jan 22, 2026
One-click install
npx skills add https://github.com/HosungYou/Diverga --skill f5
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: f5
Source: https://github.com/HosungYou/Diverga/tree/main/skills/f5
Command: npx skills add https://github.com/HosungYou/Diverga --skill f5

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill acts as a final quality gate, ensuring that AI-driven humanization transformations preserve the original meaning, citations, and academic standards of research documents.

Core Features & Use Cases

  • Citation Integrity Check: Verifies all citations remain intact and accurate after transformation.
  • Statistical Accuracy Check: Ensures all numerical values and statistical data are unchanged.
  • Meaning Preservation Check: Validates that the core claims and conclusions of the text are not altered.
  • Writing Quality Improvement Check: Assesses if the humanization has improved writing quality and reduced AI patterns.
  • Academic Tone Check: Confirms that the scholarly voice and formality are maintained.
  • Use Case: After an AI has "humanized" a research paper's abstract, use this Skill to confirm that no citations were lost, no numbers were changed, and the core findings are still accurately represented before final export.

Quick Start

Verify the humanization of the provided text by checking citation integrity, statistical accuracy, and meaning preservation.

Frequently Asked Questions about f5

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

FAQPage Schema
How do I verify citation integrity after humanizing an academic text?

To verify citation integrity after humanization, compare the original text against the humanized output to confirm all citations remain intact and accurate before final export.

What does a humanization quality assurance check cover for research papers?

A humanization quality assurance check covers citation preservation, statistical accuracy, meaning preservation, writing quality improvement, and academic tone maintenance to ensure research integrity.

How do I check if AI humanization changed statistical data or numerical values?

Check for changed statistical data by comparing numerical values in the original text against the humanized version to ensure all statistical accuracy remains unchanged.

Do I need transformation logs to validate meaning preservation in academic writing?

Yes, you need the original text, humanized text, and transformation logs to validate meaning preservation and confirm that core claims and conclusions are not altered.

When should I run a quality verification check on humanized academic texts?

Run a quality verification check after the G6 humanization transformation and before final export to confirm writing quality improved and academic tone was maintained.