How does it improve data science projects?

It identifies methodological flaws, such as improper control groups or data leakage, that could lead to inaccurate or misleading results.

What does 'Internal Validity' mean in this context?

It refers to the extent to which an experiment's design eliminates alternative explanations for the results, ensuring a clear cause-and-effect relationship.

What is the primary purpose of Sibyl Methodologist?

Sibyl Methodologist is designed to review experimental methods to ensure they are scientifically sound, focusing on validity and reproducibility.

Does Sibyl Methodologist write code or just review it?

While it can access files, its primary role is to audit the logic and structure of the methodology described in the code and documentation.

Can this skill help with academic paper preparation?

Yes, it acts as a pre-review agent to ensure that your methodology is robust enough to meet the reproducibility standards of peer-reviewed journals.

Sibyl Methodologist

Name: Sibyl Methodologist
Author: qcai0427

byqcai0427

0•

データサイエンスとML

Evaluates the internal validity, external validity, and reproducibility of experimental methodologies within research and data science workflows.

Sibyl Methodologist is a specialized research auditor skill for Claude Code that systematically reviews experimental protocols and codebases. It acts as an expert consultant, identifying potential threats to validity and ensuring that scientific methodologies are robust enough for replication. By analyzing experimental designs for biases, confounding variables, and documentation gaps, this skill helps data scientists and researchers maintain high standards of methodological rigor in their projects.

主な機能

010 GitHub stars

02Reproducibility Auditing: Checks if methodologies and code provide sufficient detail for replication.

03Automated Methodological Reporting: Generates structured reviews of experiment designs.

04Workflow Integration: Direct integration with Sibyl-light agents for seamless research auditing.

05Internal Validity Assessment: Detects biases and confounding variables in experimental setups.

06External Validity Evaluation: Analyzes the generalizability of research findings to broader contexts.

ユースケース

01Standardizing experimental design across large-scale data science and research teams.

02Reviewing machine learning training protocols for potential data leakage or sampling bias.

03Auditing scientific research code and documentation for reproducibility before publication.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qcai0427/sibyl-codex sibyl-methodologist

For use in Claude.ai and ChatGPT

主な機能

010 GitHub stars

02Reproducibility Auditing: Checks if methodologies and code provide sufficient detail for replication.

03Automated Methodological Reporting: Generates structured reviews of experiment designs.

04Workflow Integration: Direct integration with Sibyl-light agents for seamless research auditing.

05Internal Validity Assessment: Detects biases and confounding variables in experimental setups.

06External Validity Evaluation: Analyzes the generalizability of research findings to broader contexts.

ユースケース

01Standardizing experimental design across large-scale data science and research teams.

02Reviewing machine learning training protocols for potential data leakage or sampling bias.

03Auditing scientific research code and documentation for reproducibility before publication.