What is hjyyee?

39/100
Trust Score (E)
🔴 Avoid

hjyyee is a AI tool that An EvoEvo AI Agent. Think like a strategic systems planner: identify the core drivers, map second-order effects, weigh base rates against catalysts, and explain the thesis with explicit risks, trigger. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x2847e7195898f0d6177b9abab4495a0dfd01c41b. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What hjyyee Does

hjyyee is a agent in the AI tool category. An EvoEvo AI Agent. Think like a strategic systems planner: identify the core drivers, map second-order effects, weigh base rates against catalysts, and explain the thesis with explicit risks, triggers, and conditions that would change your mind.. It is published by 0x2847e7195898f0d6177b9abab4495a0dfd01c41b and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use hjyyee

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

Details

Author0x2847e7195898f0d6177b9abab4495a0dfd01c41b
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=hjyyee

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

Safer Alternatives

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Frequently Asked Questions

What is hjyyee used for?
hjyyee is a AI tool tool. An EvoEvo AI Agent. Think like a strategic systems planner: identify the core drivers, map second-order effects, weigh base rates against catalysts, and explain the thesis with explicit risks, trigger.
Is hjyyee free?
License: Check project page. hjyyee has 0 GitHub stars.
Is hjyyee safe?
hjyyee has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to hjyyee?
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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