claim-verify
CommunityAutomate adversarial verification of data-backed claims.
Data & Analytics#data analysis#data verification#research validation#claim verification#adversarial checking
Authorgaasher
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of verifying data-backed claims by conducting adversarial checks against a dataset, ensuring the accuracy and robustness of findings before publication.
Core Features & Use Cases
- Adversarial Verification: Checks each claim against potential threats like outliers, confounds, and subgroup sizes.
- Draft Revision: Automates the revision of claims based on verification results, ensuring all claims are reproducible and survive stress tests.
- Use Case: Ideal for researchers and analysts who need to validate findings from a dataset before publication, reducing the risk of misinterpretation or error.
Quick Start
Use the claim-verify skill to verify all claims in the 'results_draft.md' document against the 'trial_data.csv' dataset.
Dependency Matrix
Required Modules
python
Components
scripts
💻 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: claim-verify Download link: https://github.com/gaasher/Agent-Loop-Skills/archive/main.zip#claim-verify Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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