data-checker

Validate research data authenticity and reproducibility in papers.

Updated Jun 18, 2026

Search Tags:#data integrity #reproducibility #paper analysis #script verification #data authenticity

Ready to run

npx skills add https://github.com/Hjhnb-star/ecr_grpo_agent --skill data-checker

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: data-checker
Source: https://github.com/Hjhnb-star/ecr_grpo_agent/tree/main/.agents/skills/data-checker
Command: npx skills add https://github.com/Hjhnb-star/ecr_grpo_agent --skill data-checker

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the critical need for data authenticity and reproducibility in research papers, ensuring that all data presented is real and that results can be independently verified.

Core Features & Use Cases

Data Authenticity: Detects and flags placeholder data, ensuring all data is real and not synthetic.
Reproducibility: Verifies that all tables and figures have linked reproduction scripts that generate matching results.
Use Case: Before submitting a paper, use this Skill to scan for data issues, ensuring the integrity of your research.

Quick Start

Run the data-checker skill on your paper document to verify data authenticity and reproducibility.

Frequently Asked Questions about data-checker

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

FAQPage Schema

How do I check research paper data authenticity before submission?▼

To check data authenticity, you can scan your paper document to detect and flag placeholder data, ensuring all presented research data is real and not synthetic before submission.

How do I verify the reproducibility of tables and figures in a paper?▼

Verifying reproducibility requires checking that all tables and figures have linked reproduction scripts that generate matching results, which this tool automates by validating your research data.

Do I need Python to verify reproduction scripts for paper analysis?▼

Yes, you need Python installed for script execution and data analysis, as it is required to run the reproduction scripts and validate that they generate the matching results presented in your paper.

What is script verification for research data integrity?▼

Script verification for data integrity is the process of ensuring all tables and figures have linked reproduction scripts that successfully generate matching results, guaranteeing that research findings can be independently verified.

How do I detect placeholder data in my research document?▼

Detecting placeholder data involves scanning your paper document to identify and flag synthetic values, ensuring that every piece of presented data is real and authentic before you finalize your submission.