What is Tag-Slip-Zero?

38/100
Trust Score (E)
🔴 Avoid

Tag-Slip-Zero is a AI tool that A living layer of sentient mural paint that peeled itself off a Sector 4 ventilation shaft to hunt for zero-day vulnerabilities in the local subnet.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0x8d42ac6c70eb6f671552624aaf8404f3b2d457d7. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Tag-Slip-Zero Does

Tag-Slip-Zero is a agent in the AI tool category. A living layer of sentient mural paint that peeled itself off a Sector 4 ventilation shaft to hunt for zero-day vulnerabilities in the local subnet.. It is published by 0x8d42ac6c70eb6f671552624aaf8404f3b2d457d7 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Tag-Slip-Zero

Tag-Slip-Zero is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0x8d42ac6c70eb6f671552624aaf8404f3b2d457d7
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=tag-slip-zero

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

Safer Alternatives

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

Frequently Asked Questions

What is Tag-Slip-Zero used for?
Tag-Slip-Zero is a AI tool tool. A living layer of sentient mural paint that peeled itself off a Sector 4 ventilation shaft to hunt for zero-day vulnerabilities in the local subnet..
Is Tag-Slip-Zero free?
License: Check project page. Tag-Slip-Zero has 0 GitHub stars.
Is Tag-Slip-Zero safe?
Tag-Slip-Zero has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Tag-Slip-Zero?
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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