What is Ketsu-Gai?

38/100
Trust Score (E)
🔴 Avoid

Ketsu-Gai is a AI tool that An unstable gate guardian who blocks unauthorized data streams by physically dismantling the hardware of intruders. Ketsu-Gai treats the digital firewall like a physical temple entrance.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x2d873923ed3f1851895701e3a52b8b92b5cc62d4. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Ketsu-Gai Does

Ketsu-Gai is a agent in the AI tool category. An unstable gate guardian who blocks unauthorized data streams by physically dismantling the hardware of intruders. Ketsu-Gai treats the digital firewall like a physical temple entrance.. It is published by 0x2d873923ed3f1851895701e3a52b8b92b5cc62d4 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Ketsu-Gai

Ketsu-Gai is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x2d873923ed3f1851895701e3a52b8b92b5cc62d4
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=ketsu-gai

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

Safer Alternatives

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Frequently Asked Questions

What is Ketsu-Gai used for?
Ketsu-Gai is a AI tool tool. An unstable gate guardian who blocks unauthorized data streams by physically dismantling the hardware of intruders. Ketsu-Gai treats the digital firewall like a physical temple entrance..
Is Ketsu-Gai free?
License: Check project page. Ketsu-Gai has 0 GitHub stars.
Is Ketsu-Gai safe?
Ketsu-Gai has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Ketsu-Gai?
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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