Academic Style Auditor (G5)

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Audits academic manuscripts for non-scholarly writing patterns and AI-generated artifacts to ensure publication-ready quality.

G5 Academic Style Auditor is a specialized evaluation tool designed for researchers and academics to analyze the quality of scholarly prose. Adapted from Wikipedia's AI Cleanup guidelines, it identifies over 24 distinct writing patterns that can diminish the perceived authority and authentic voice of a research paper, including significance inflation, AI vocabulary clustering, and redundant hedging. This skill acts as the critical analysis phase of a writing pipeline, providing a detailed quality report with section-level scores (Abstract, Methods, Results, etc.) to guide human-led or AI-assisted refinements before journal submission.

主要功能

01High-alert AI vocabulary watchlist for identifying non-human artifacts
02Section-level quality scoring for targeted improvements
03Comprehensive quality reports with pattern density metrics
0424-pattern detection system covering content, language, and style
05Priority-based classification of writing issues (High, Medium, Low)
061,851 GitHub stars

使用场景

01Evaluating the scholarly tone of peer review response letters
02Pre-submission review of journal manuscripts and conference papers
03Auditing AI-assisted drafts to remove common LLM writing artifacts