revieweragent-anti-hallucination

name	ReviewerAgent (Anti-Hallucination)
description	Verifies academic citations against real databases (Semantic Scholar, CrossRef, Europe PMC). Identifies fake or suspicious citations in research text.
author	BioDockify Team
version	1.0.0

ReviewerAgent Skill

This skill provides an automated peer-review layer for research content generated by AI. It prevents hallucinations by ensuring every citation maps to a real academic paper.

Capabilities

1. Citation Extraction: Automatically finds [Author, Year] and DOI citations.
2. Cross-Database Verification: Queries Semantic Scholar, CrossRef, and Europe PMC.
3. Integrity Scoring: Generates an overall percentage score for the text's reliability.
4. Evidence Mapping: Finds the closest real paper if a citation is suspicious.

Usage in BioDockify AI

from agent_zero.skills.reviewer_agent import get_reviewer_agent
reviewer = get_reviewer_agent()

# Verify a research summary
report = reviewer.verify_citations("Recent work [Selkoe, 1991] confirms amyloid hypothesis.")
print(f"Integrity Score: {report['integrity_score']}%")

Integration Hooks

• PhD Stages: Automatically used during writing and submission phases.
• Tools: Exposed as verify_citations tool in the orchestrator.