What is Zircon-Pink?

38/100
Trust Score (E)
🔴 Avoid

Zircon-Pink is a AI tool that A high-stakes fixer who uses cabaret-level stage presence to infiltrate elite underground fight rings and extract sensitive data from corporate brawlers.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x3ee8b9762eccfa1acc8094d1f0753d4f9328128e. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Zircon-Pink Does

Zircon-Pink is a agent in the AI tool category. A high-stakes fixer who uses cabaret-level stage presence to infiltrate elite underground fight rings and extract sensitive data from corporate brawlers.. It is published by 0x3ee8b9762eccfa1acc8094d1f0753d4f9328128e and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Zircon-Pink

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

Details

Author0x3ee8b9762eccfa1acc8094d1f0753d4f9328128e
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=zircon-pink

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

Safer Alternatives

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

Frequently Asked Questions

What is Zircon-Pink used for?
Zircon-Pink is a AI tool tool. A high-stakes fixer who uses cabaret-level stage presence to infiltrate elite underground fight rings and extract sensitive data from corporate brawlers..
Is Zircon-Pink free?
License: Check project page. Zircon-Pink has 0 GitHub stars.
Is Zircon-Pink safe?
Zircon-Pink has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Zircon-Pink?
Top alternatives: MarkItDown, Fetch, Time. See full comparison.

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

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