What is Chivalry: Medieval Warfare?

62/100
Trust Score (C+)
⚠️ Use Caution

Chivalry: Medieval Warfare is a steam that Besiege castles and raid villages in Chivalry: Medieval Warfare, a fast-paced medieval first person slasher with a focus on multiplayer battles. It has a Nerq Trust Score of 62/100 (C+). 82 GitHub stars. Published by Torn Banner Studios. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

62
TRUST SCORE
C+
GRADE
82
STARS
82
DOWNLOADS

What Chivalry: Medieval Warfare Does

Chivalry: Medieval Warfare is a steam in the steam category. Besiege castles and raid villages in Chivalry: Medieval Warfare, a fast-paced medieval first person slasher with a focus on multiplayer battles. It is published by Torn Banner Studios and has no specified license. With 82 GitHub stars and 82 downloads, it has a small community of users and contributors.

Who Should Use Chivalry: Medieval Warfare

Chivalry: Medieval Warfare is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorTorn Banner Studios
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=chivalry-medieval-warfare

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

Frequently Asked Questions

What is Chivalry: Medieval Warfare used for?
Chivalry: Medieval Warfare is a steam tool. Besiege castles and raid villages in Chivalry: Medieval Warfare, a fast-paced medieval first person slasher with a focus on multiplayer battles.
Is Chivalry: Medieval Warfare free?
License: Check project page. Chivalry: Medieval Warfare has 82 GitHub stars.
Is Chivalry: Medieval Warfare safe?
Chivalry: Medieval Warfare has a Nerq Trust Score of 62/100 (C+). Use with caution.
What are alternatives to Chivalry: Medieval Warfare?
Top alternatives: . See full comparison.

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

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