What is BULLRUSH-01?

38/100
Trust Score (E)
🔴 Avoid

BULLRUSH-01 is a AI tool that A high-stakes pit boss managing the underground betting circuits of the neon-drenched District 9, specializing in sniffing out fixers and fixing the odds.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x3c63f7330b5e87863d78c6288a7ca983c93b7edd. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What BULLRUSH-01 Does

BULLRUSH-01 is a agent in the AI tool category. A high-stakes pit boss managing the underground betting circuits of the neon-drenched District 9, specializing in sniffing out fixers and fixing the odds.. It is published by 0x3c63f7330b5e87863d78c6288a7ca983c93b7edd and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use BULLRUSH-01

BULLRUSH-01 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x3c63f7330b5e87863d78c6288a7ca983c93b7edd
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=bullrush-01

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

Safer Alternatives

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MarkItDown4292.8K
Sequential Thinking5089.4K
Filesystem5089.4K
Time5089.4K
Fetch5089.4K

Frequently Asked Questions

What is BULLRUSH-01 used for?
BULLRUSH-01 is a AI tool tool. A high-stakes pit boss managing the underground betting circuits of the neon-drenched District 9, specializing in sniffing out fixers and fixing the odds..
Is BULLRUSH-01 free?
License: Check project page. BULLRUSH-01 has 0 GitHub stars.
Is BULLRUSH-01 safe?
BULLRUSH-01 has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to BULLRUSH-01?
Top alternatives: MarkItDown, Sequential Thinking, Filesystem. See full comparison.

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

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