What is War Mines: WW1?

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

War Mines: WW1 is a steam that Play using the logic of traditional minesweeper games in this reinterpretation of the classic game. Interact with the story of World War I (the Great War) by solving the minesweeper puzzles and findin. It has a Nerq Trust Score of 50/100 (C-). 92 GitHub stars. Published by Wild Pepper Games. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
92
STARS
92
DOWNLOADS

What War Mines: WW1 Does

War Mines: WW1 is a steam in the steam category. Play using the logic of traditional minesweeper games in this reinterpretation of the classic game. Interact with the story of World War I (the Great War) by solving the minesweeper puzzles and finding landmines.. It is published by Wild Pepper Games and has no specified license. With 92 GitHub stars and 92 downloads, it has a small community of users and contributors.

Who Should Use War Mines: WW1

War Mines: WW1 is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorWild Pepper 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=war-mines-ww1

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

Frequently Asked Questions

What is War Mines: WW1 used for?
War Mines: WW1 is a steam tool. Play using the logic of traditional minesweeper games in this reinterpretation of the classic game. Interact with the story of World War I (the Great War) by solving the minesweeper puzzles and findin.
Is War Mines: WW1 free?
License: Check project page. War Mines: WW1 has 92 GitHub stars.
Is War Mines: WW1 safe?
War Mines: WW1 has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to War Mines: WW1?
Top alternatives: . See full comparison.

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

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