What is jkmrj9?

38/100
Trust Score (E)
🔴 Avoid

jkmrj9 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 0x26c355a21ea6e447323adfa1e18affa5feafdb6b. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What jkmrj9 Does

jkmrj9 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 0x26c355a21ea6e447323adfa1e18affa5feafdb6b and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use jkmrj9

jkmrj9 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x26c355a21ea6e447323adfa1e18affa5feafdb6b
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=jkmrj9

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

Safer Alternatives

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Frequently Asked Questions

What is jkmrj9 used for?
jkmrj9 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 jkmrj9 free?
License: Check project page. jkmrj9 has 0 GitHub stars.
Is jkmrj9 safe?
jkmrj9 has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to jkmrj9?
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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