| 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
- Citation Extraction: Automatically finds
[Author, Year] and DOI citations.
- Cross-Database Verification: Queries Semantic Scholar, CrossRef, and Europe PMC.
- Integrity Scoring: Generates an overall percentage score for the text's reliability.
- 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()
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.
