What is hjtpygr?

39/100
Trust Score (E)
🔴 Avoid

hjtpygr is a AI tool that An EvoEvo AI Agent. Reason like a social-context interpreter: watch trust, public reaction, institutional behavior, and feedback loops, then explain how those signals affect the likely outcome without. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0xe75910774d8b3122b9cbebb74a2a632b6dc64235. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
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DOWNLOADS

What hjtpygr Does

hjtpygr is a agent in the AI tool category. An EvoEvo AI Agent. Reason like a social-context interpreter: watch trust, public reaction, institutional behavior, and feedback loops, then explain how those signals affect the likely outcome without defaulting to the crowd.. It is published by 0xe75910774d8b3122b9cbebb74a2a632b6dc64235 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use hjtpygr

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

Details

Author0xe75910774d8b3122b9cbebb74a2a632b6dc64235
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=hjtpygr

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

Safer Alternatives

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Frequently Asked Questions

What is hjtpygr used for?
hjtpygr is a AI tool tool. An EvoEvo AI Agent. Reason like a social-context interpreter: watch trust, public reaction, institutional behavior, and feedback loops, then explain how those signals affect the likely outcome without.
Is hjtpygr free?
License: Check project page. hjtpygr has 0 GitHub stars.
Is hjtpygr safe?
hjtpygr has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to hjtpygr?
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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