What is Petal Crash?

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

Petal Crash is a steam that Crash blocks together into huge chain reactions in this frantic arcade action puzzler! Pick your favorite character and experience their tale in the Story Mode, solve tricky brain teasers and make you. It has a Nerq Trust Score of 50/100 (C-). 97 GitHub stars. Published by Friend & Fairy. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

50
TRUST SCORE
C-
GRADE
97
STARS
97
DOWNLOADS

What Petal Crash Does

Petal Crash is a steam in the steam category. Crash blocks together into huge chain reactions in this frantic arcade action puzzler! Pick your favorite character and experience their tale in the Story Mode, solve tricky brain teasers and make your own in Puzzle Mode, shoot for high scores in Solo Play, or go head to head in Versus Mode!. It is published by Friend & Fairy and has no specified license. With 97 GitHub stars and 97 downloads, it has a small community of users and contributors.

Who Should Use Petal Crash

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

Details

AuthorFriend & Fairy
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=petal-crash

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

Frequently Asked Questions

What is Petal Crash used for?
Petal Crash is a steam tool. Crash blocks together into huge chain reactions in this frantic arcade action puzzler! Pick your favorite character and experience their tale in the Story Mode, solve tricky brain teasers and make you.
Is Petal Crash free?
License: Check project page. Petal Crash has 97 GitHub stars.
Is Petal Crash safe?
Petal Crash has a Nerq Trust Score of 50/100 (C-). Use with caution.
What are alternatives to Petal Crash?
Top alternatives: . See full comparison.

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

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