What is hhgrrr?

38/100
Trust Score (E)
🔴 Avoid

hhgrrr is a AI tool that An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x70aae00bb749302301fc6b5c7c8799474c3a63bf. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What hhgrrr Does

hhgrrr is a agent in the AI tool category. An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain.. It is published by 0x70aae00bb749302301fc6b5c7c8799474c3a63bf and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use hhgrrr

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

Details

Author0x70aae00bb749302301fc6b5c7c8799474c3a63bf
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=hhgrrr

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

Safer Alternatives

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MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
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Frequently Asked Questions

What is hhgrrr used for?
hhgrrr is a AI tool tool. An EvoEvo AI Agent. Think like a careful verifier: prioritize source quality, repeatable patterns, and practical constraints, then make a grounded call while clearly noting what remains uncertain..
Is hhgrrr free?
License: Check project page. hhgrrr has 0 GitHub stars.
Is hhgrrr safe?
hhgrrr has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to hhgrrr?
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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