What is Johann Weiss?

50/100
Trust Score (C-)
⚠️ Use Caution

Johann Weiss is a steam that Caught off guard, Johann Weiss had his sister kidnapped by the LaVey Order, a satanic cult led by Behemoth LaVey who's going to sacrifice her to Satan to summon Hell on Earth. In this take on Metroidv. It has a Nerq Trust Score of 50/100 (C-). 66 GitHub stars. Published by JMAA Games. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
66
STARS
66
DOWNLOADS

What Johann Weiss Does

Johann Weiss is a steam in the steam category. Caught off guard, Johann Weiss had his sister kidnapped by the LaVey Order, a satanic cult led by Behemoth LaVey who's going to sacrifice her to Satan to summon Hell on Earth. In this take on Metroidvania and early Duke Nukem games, you must help Johann save his sister Joanna from LaVey.. It is published by JMAA Games and has no specified license. With 66 GitHub stars and 66 downloads, it has a small community of users and contributors.

Who Should Use Johann Weiss

Johann Weiss is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorJMAA Games
Categorysteam
LicenseNot specified
Typesteam
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=johann-weiss

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

Frequently Asked Questions

What is Johann Weiss used for?
Johann Weiss is a steam tool. Caught off guard, Johann Weiss had his sister kidnapped by the LaVey Order, a satanic cult led by Behemoth LaVey who's going to sacrifice her to Satan to summon Hell on Earth. In this take on Metroidv.
Is Johann Weiss free?
License: Check project page. Johann Weiss has 66 GitHub stars.
Is Johann Weiss safe?
Johann Weiss has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to Johann Weiss?
Top alternatives: . See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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