academic-verify

Trace academic claims to original publications, methodology, and raw data.

45|11|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/beyonai/ByClaw --skill academic-verify-beyonai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: academic-verify
Source: https://github.com/beyonai/ByClaw/tree/main/middleware/openclaw/skills/gbrain/references/academic-verify
Command: npx skills add https://github.com/beyonai/ByClaw --skill academic-verify-beyonai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill solves the problem of misinformation and misattribution in research by tracing academic claims back to their original source data, methodology, and independent replication status.

Core Features & Use Cases

  • Claim Tracing: Automatically maps a claim through publication, methodology, raw data, and replication.
  • Verdict Generation: Produces a structured brain page classifying the claim as verified, partially verified, unverifiable, misattributed, or retracted.
  • Use Case: When reviewing a policy brief or book that cites a controversial study, use this skill to confirm if the study is real, if the data is public, and if the claim accurately reflects the findings.

Quick Start

Use the academic-verify skill to validate the claim that the recent study on remote work productivity reduced turnover by 20 percent.

Frequently Asked Questions about academic-verify

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

FAQPage Schema
How do I verify if an academic claim accurately reflects its original research data?

To verify an academic claim, trace it from the initial statement back to the original publication, methodology, and raw data. This process validates citations, checks for retractions, and assesses the reliability of quantified findings.

What is the best way to check if a cited study has been retracted or misattributed?

Checking for retracted or misattributed studies involves tracing the claim through citation databases to confirm the publication's status. This generates a structured verdict classifying the claim as verified, misattributed, or retracted.

How do I trace a research finding from a policy brief back to the raw data?

Tracing a research finding requires mapping the claim from the brief through the original publication and methodology down to the public raw data. This confirms the study is real and the data is accessible for verification.

Can I validate research claims without manual citation database searches?

Validating research claims can be automated by integrating web-search capabilities with citation databases. This enables automatic claim mapping and produces a structured verdict on the reliability of quantified findings.

What does a structured verdict for a verified academic claim include?

A structured verdict for a verified academic claim includes a classification of its status, such as verified, partially verified, unverifiable, misattributed, or retracted. It provides structured documentation based on traced methodology and raw data.

When do I need to trace research claims for data integrity and replication status?

Tracing research claims for data integrity is needed when reviewing controversial studies or policy briefs. It confirms whether the original findings are real, public, independently replicated, and accurately reflected in the citing text.