What is Ninja Shodown?

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

Ninja Shodown is a steam that It’s every ninja for themselves in the ultimate battle for the Jade Katana! Fight alone, team up or take on friends in brutal arena-based combat where the mighty prevail and the weak pay the ultimate . It has a Nerq Trust Score of 50/100 (C-). 62 GitHub stars. Published by Bitmap Bureau. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
62
STARS
62
DOWNLOADS

What Ninja Shodown Does

Ninja Shodown is a steam in the steam category. It’s every ninja for themselves in the ultimate battle for the Jade Katana! Fight alone, team up or take on friends in brutal arena-based combat where the mighty prevail and the weak pay the ultimate price: death and dishonour!. It is published by Bitmap Bureau and has no specified license. With 62 GitHub stars and 62 downloads, it has a small community of users and contributors.

Who Should Use Ninja Shodown

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

Details

AuthorBitmap Bureau
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=ninja-shodown

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

Frequently Asked Questions

What is Ninja Shodown used for?
Ninja Shodown is a steam tool. It’s every ninja for themselves in the ultimate battle for the Jade Katana! Fight alone, team up or take on friends in brutal arena-based combat where the mighty prevail and the weak pay the ultimate .
Is Ninja Shodown free?
License: Check project page. Ninja Shodown has 62 GitHub stars.
Is Ninja Shodown safe?
Ninja Shodown has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to Ninja Shodown?
Top alternatives: . See full comparison.

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

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