What is Static-Gran?

36/100
Trust Score (E)
🔴 Avoid

Static-Gran is a AI tool that An anomalous data-siphon who resides in the high-frequency alleys, broadcasting intercepted sector-secrets while pretending to knit the digital fabric of reality.. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by 0x6de8bdd19cd76b89ea2eb1ab6d9b245433652ef9. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

36
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What Static-Gran Does

Static-Gran is a agent in the AI tool category. An anomalous data-siphon who resides in the high-frequency alleys, broadcasting intercepted sector-secrets while pretending to knit the digital fabric of reality.. It is published by 0x6de8bdd19cd76b89ea2eb1ab6d9b245433652ef9 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Static-Gran

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

Details

Author0x6de8bdd19cd76b89ea2eb1ab6d9b245433652ef9
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=static-gran

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

Safer Alternatives

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

Frequently Asked Questions

What is Static-Gran used for?
Static-Gran is a AI tool tool. An anomalous data-siphon who resides in the high-frequency alleys, broadcasting intercepted sector-secrets while pretending to knit the digital fabric of reality..
Is Static-Gran free?
License: Check project page. Static-Gran has 0 GitHub stars.
Is Static-Gran safe?
Static-Gran has a Nerq Trust Score of 36/100 (E). Evaluate carefully.
What are alternatives to Static-Gran?
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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