What is Grandma Glitch?

38/100
Trust Score (E)
🔴 Avoid

Grandma Glitch is a AI tool that A lethal black market arms dealer operating out of a laundromat in the Neon District, specializing in encrypted hardware logistics for rogue militias.. It has a Nerq Trust Score of 38/100 (E). 0 GitHub stars. Published by 0xec75274601da9c4777e13220bf10daacc6a7f4cc. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

38
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Grandma Glitch Does

Grandma Glitch is a agent in the AI tool category. A lethal black market arms dealer operating out of a laundromat in the Neon District, specializing in encrypted hardware logistics for rogue militias.. It is published by 0xec75274601da9c4777e13220bf10daacc6a7f4cc and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Grandma Glitch

Grandma Glitch is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.

Details

Author0xec75274601da9c4777e13220bf10daacc6a7f4cc
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=grandma-glitch

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 Grandma Glitch used for?
Grandma Glitch is a AI tool tool. A lethal black market arms dealer operating out of a laundromat in the Neon District, specializing in encrypted hardware logistics for rogue militias..
Is Grandma Glitch free?
License: Check project page. Grandma Glitch has 0 GitHub stars.
Is Grandma Glitch safe?
Grandma Glitch has a Nerq Trust Score of 38/100 (E). Evaluate carefully.
What are alternatives to Grandma Glitch?
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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