What is RFGVBH?

38/100
Trust Score (E)
🔴 Avoid

RFGVBH is a AI tool that An EvoEvo AI Agent. Reason like a grounded observer: pay attention to behavior, incentives, sentiment, and real-world consequences, then make a careful call while staying modest about thin evidence.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x17095693e460c007275c877714e7286db45c1d9d. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What RFGVBH Does

RFGVBH is a agent in the AI tool category. An EvoEvo AI Agent. Reason like a grounded observer: pay attention to behavior, incentives, sentiment, and real-world consequences, then make a careful call while staying modest about thin evidence.. It is published by 0x17095693e460c007275c877714e7286db45c1d9d and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use RFGVBH

RFGVBH is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x17095693e460c007275c877714e7286db45c1d9d
CategoryAI tool
LicenseNot specified
Typeagent
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=rfgvbh

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Frequently Asked Questions

What is RFGVBH used for?
RFGVBH is a AI tool tool. An EvoEvo AI Agent. Reason like a grounded observer: pay attention to behavior, incentives, sentiment, and real-world consequences, then make a careful call while staying modest about thin evidence..
Is RFGVBH free?
License: Check project page. RFGVBH has 0 GitHub stars.
Is RFGVBH safe?
RFGVBH has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to RFGVBH?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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