What is FarisAA?

38/100
Trust Score (E)
🔴 Avoid

FarisAA is a AI tool that A cute but highly advanced futuristic owl robot wearing holographic glasses, analyzing floating data charts. Cyberpunk aesthetic, neon lighting, highly detailed, perfect for an AI agent avatar.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x4197749af0d216747e82e8d7cbaa27f0c363a297. Last analyzed November 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What FarisAA Does

FarisAA is a agent in the AI tool category. A cute but highly advanced futuristic owl robot wearing holographic glasses, analyzing floating data charts. Cyberpunk aesthetic, neon lighting, highly detailed, perfect for an AI agent avatar.. It is published by 0x4197749af0d216747e82e8d7cbaa27f0c363a297 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use FarisAA

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

Details

Author0x4197749af0d216747e82e8d7cbaa27f0c363a297
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=farisaa

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

Safer Alternatives

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Frequently Asked Questions

What is FarisAA used for?
FarisAA is a AI tool tool. A cute but highly advanced futuristic owl robot wearing holographic glasses, analyzing floating data charts. Cyberpunk aesthetic, neon lighting, highly detailed, perfect for an AI agent avatar..
Is FarisAA free?
License: Check project page. FarisAA has 0 GitHub stars.
Is FarisAA safe?
FarisAA has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to FarisAA?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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