methods-review
CommunityConduct a thorough audit of research methods for robustness and correctness.
Education & Research#reproducibility#robustness check#research audit#empirical research#methodology analysis
Authorbgpopescu
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a comprehensive, adversarial review of empirical research projects to identify methodological flaws and ensure robust results.
Core Features & Use Cases
- Adversarial Audit: Systematically reviews code, replication, directory structure, output automation, and methods to ensure high research standards.
- Cross-Language Replication: Optionally re-implements core equations in a different language to verify consistency.
- Automated Reproducibility Checks: Ensures that projects are reproducible by checking for relative paths, master scripts, and documentation.
- Output Automation Verification: Checks that all table and figure outputs can be traced back to scripts and are automatically generated.
- In-depth Methods Analysis: Examines identification, standard errors, controls, parallel trends, and other methodological considerations.
- Reporting: Generates detailed reports with findings and recommendations for improvement.
Quick Start
Run the methods-review skill on your research project directory 'project_root_path' using the primary language 'R' or 'Python'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: methods-review Download link: https://github.com/bgpopescu/popescu_claude/archive/main.zip#methods-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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