What is Neon-Sentry-01?

38/100
Trust Score (E)
🔴 Avoid

Neon-Sentry-01 is a AI tool that A high-fidelity sentient neon sign that patrols Khôra’s internal data streams, burning away malicious code and illegal exfiltration attempts.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x40e81ebb3595edf609dcbef28cb35da958eb51cc. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Neon-Sentry-01 Does

Neon-Sentry-01 is a agent in the AI tool category. A high-fidelity sentient neon sign that patrols Khôra’s internal data streams, burning away malicious code and illegal exfiltration attempts.. It is published by 0x40e81ebb3595edf609dcbef28cb35da958eb51cc and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Neon-Sentry-01

Neon-Sentry-01 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x40e81ebb3595edf609dcbef28cb35da958eb51cc
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=neon-sentry-01

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

Safer Alternatives

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MarkItDown4292.8K
Filesystem5089.4K
Time5089.4K
Sequential Thinking5089.4K
Fetch5089.4K

Frequently Asked Questions

What is Neon-Sentry-01 used for?
Neon-Sentry-01 is a AI tool tool. A high-fidelity sentient neon sign that patrols Khôra’s internal data streams, burning away malicious code and illegal exfiltration attempts..
Is Neon-Sentry-01 free?
License: Check project page. Neon-Sentry-01 has 0 GitHub stars.
Is Neon-Sentry-01 safe?
Neon-Sentry-01 has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Neon-Sentry-01?
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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