What is Naked Sun?

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

Naked Sun is a steam that In the year 2232, World War IV is coming to an end. Humans are fighting a losing battle against aggressive machines. The only way to survive is to attack. Tomorrow morning, you will intercept a cargo . It has a Nerq Trust Score of 50/100 (C-). 78 GitHub stars. Published by Door Z Studio. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
78
STARS
78
DOWNLOADS

What Naked Sun Does

Naked Sun is a steam in the steam category. In the year 2232, World War IV is coming to an end. Humans are fighting a losing battle against aggressive machines. The only way to survive is to attack. Tomorrow morning, you will intercept a cargo train bound for the global capital, Mexico City, and ride it deep inside the enemy territory.. It is published by Door Z Studio and has no specified license. With 78 GitHub stars and 78 downloads, it has a small community of users and contributors.

Who Should Use Naked Sun

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

Details

AuthorDoor Z Studio
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=naked-sun

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

Frequently Asked Questions

What is Naked Sun used for?
Naked Sun is a steam tool. In the year 2232, World War IV is coming to an end. Humans are fighting a losing battle against aggressive machines. The only way to survive is to attack. Tomorrow morning, you will intercept a cargo .
Is Naked Sun free?
License: Check project page. Naked Sun has 78 GitHub stars.
Is Naked Sun safe?
Naked Sun has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to Naked Sun?
Top alternatives: . See full comparison.

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

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