method-audit

Extract and compare data collection methods across empirical papers.

127|22|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/flonat/flonat-research --skill method-audit
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: method-audit
Source: https://github.com/flonat/flonat-research/tree/main/skills/method-audit
Command: npx skills add https://github.com/flonat/flonat-research --skill method-audit

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you analyze and compare data collection methods in empirical papers, allowing you to identify methodological gaps and biases.

Core Features & Use Cases

  • Corpus Assembly: Gather 10-20 papers for analysis.
  • Method Extraction: Extract details like research design, data source, sample, variables, and estimation strategy.
  • Comparative Analysis: Generate a comparison table, technique distribution, and bias audit.
  • Output: Create a comprehensive report outlining findings and methodological gaps.

Quick Start

Run the method-audit skill with the topic 'empirical research' and the .bib file 'empirical_papers.bib'.

Frequently Asked Questions about method-audit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I compare empirical methods across multiple research papers?

To compare empirical methods across papers, this Skill extracts details like research design, data source, sample, variables, and estimation strategy. It generates a comparative analysis table and a bias audit to identify methodological blind spots.

What is the best way to detect methodological bias in a literature review?

Detecting methodological bias in a literature review requires extracting estimation strategies and data sources from empirical papers. This Skill produces a dedicated bias audit highlighting gaps and limitations in the analyzed corpus.

How do I extract data collection methods from a set of academic papers?

Extracting data collection methods involves processing a corpus of empirical papers to identify the research design, sample characteristics, and variables. This Skill automates the extraction and outputs a technique distribution analysis.

Can I audit a paper corpus for research design blind spots?

Yes, you can audit a paper corpus for research design blind spots by comparing estimation strategies and data sources across 10-20 empirical papers. The Skill produces a comparative analysis to reveal these methodological gaps.

Do I need a specific file format to start a comparative analysis of empirical research?

Yes, you need a .bib file containing your empirical paper references to start the comparative analysis. Providing this file along with your research topic allows the Skill to assemble the corpus and extract methods.