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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.