ai-style-impressions

AI writing style detection works by performing a multi-step analysis of stylistic features to identify and annotate text within a document that matches a profile indicative of AI-origin, without assessing integrity or attributing authorship.

To run AI-generated content detection on a PDF document, ensure you have 'claims.json' from your evidence ledger in the paper directory, then apply the skill to analyze the PDF for specific writing characteristics indicative of machine-generated content.

AI style analysis cannot be used as a standalone integrity assessment. It offers insights that complement but do not substitute for formal integrity evaluations, providing an independent check to flag specific writing characteristics with zero verdict weight.

Yes, document auditing for AI-origin text requires dependencies including python3, git, json, mcp__codex__codex, and gpt-5.6-sol to successfully execute the stylistic feature analysis workflow.

You should not use AI-generated content detection when you need a final judgment on authorship or academic integrity, as the skill explicitly avoids attributing blame or affecting final verdicts, focusing solely on stylistic feature annotation.