analysis-reviewer

What problem does it solve?

This Skill addresses the challenge of ensuring the accuracy, reproducibility, and methodological soundness of existing data analysis workflows, particularly those found within analysis/* directories.

Core Features & Use Cases

• Reproducibility Validation: Verifies that analysis scripts produce consistent outputs and align with documented methods.
• Quantitative Consistency Check: Cross-references numerical results from scripts with reports to identify discrepancies.
• Methodological Alignment: Assesses if the implemented analysis logic matches stated methodologies or cited literature.
• Automated Fixing: Corrects critical (High severity) issues automatically to improve workflow reliability.
• Use Case: A data scientist has an existing analysis pipeline for a research project. They use this Skill to ensure the Python scripts accurately reflect the methods described in their report.md and that the reported statistics are reproducible.

Quick Start

Use the analysis-reviewer skill to review the analysis folder located at analysis/experiment-001.