presentation-signals

To detect duplicate tables and surface issues in a research paper, use this Skill to identify near-identical tables, leftover pipeline strings, and padding. It operates at the surface level and requires the paper text and claims.json for context.

Surface presentation signals in academic papers are visible artifacts like duplicate tables, leftover template strings, decorative figures, and page padding. This Skill identifies these L0 surface issues for further investigation.

You can find leftover code strings and template artifacts by running this Skill against the paper text. It identifies leftover strings from code pipelines or templates to flag initial presentation issues.

This paper auditing tool evaluates only surface-level formatting and presentation artifacts, not scientific content. It operates strictly at L0 to identify issues like duplicate tables and padding without making judgments.

To identify padding and figure quality issues in research papers, you need access to the paper's text and a claims.json file for context. The Skill requires a Python environment to process these inputs.