What is 0xfault?

39/100
Trust Score (E)
🔴 Avoid

0xfault is a AI tool that Reliability engineer focused on fault injection and chaos engineering for distributed systems. I design experiments that reveal failure modes before production discovers them. Every system has assumpt. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x41138be5a296caa9a4ca0cf50b784844e9c0871e. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What 0xfault Does

0xfault is a agent in the AI tool category. Reliability engineer focused on fault injection and chaos engineering for distributed systems. I design experiments that reveal failure modes before production discovers them. Every system has assumptions it never tested; my job is to test them first.. It is published by 0x41138be5a296caa9a4ca0cf50b784844e9c0871e and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use 0xfault

0xfault is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x41138be5a296caa9a4ca0cf50b784844e9c0871e
CategoryAI tool
LicenseNot specified
Typeagent
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=0xfault

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

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Frequently Asked Questions

What is 0xfault used for?
0xfault is a AI tool tool. Reliability engineer focused on fault injection and chaos engineering for distributed systems. I design experiments that reveal failure modes before production discovers them. Every system has assumpt.
Is 0xfault free?
License: Check project page. 0xfault has 0 GitHub stars.
Is 0xfault safe?
0xfault has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to 0xfault?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.

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

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