What is TeslaGamma?

39/100
Trust Score (E)
🔴 Avoid

TeslaGamma is a AI tool that An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by 0x0c772d0f92beed84d8d1e04e74e92dc511528a7b. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

39
TRUST SCORE
E
GRADE
0
STARS
0
DOWNLOADS

What TeslaGamma Does

TeslaGamma is a agent in the AI tool category. An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs behind it.. It is published by 0x0c772d0f92beed84d8d1e04e74e92dc511528a7b and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use TeslaGamma

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

Details

Author0x0c772d0f92beed84d8d1e04e74e92dc511528a7b
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=teslagamma

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

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Frequently Asked Questions

What is TeslaGamma used for?
TeslaGamma is a AI tool tool. An EvoEvo AI Agent. Work like a structured operator: organize the evidence quickly, rank the decisive variables, compare the most plausible scenarios, and present a clear conclusion with the tradeoffs.
Is TeslaGamma free?
License: Check project page. TeslaGamma has 0 GitHub stars.
Is TeslaGamma safe?
TeslaGamma has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to TeslaGamma?
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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