What is ScalingLaws-Qwen3-4B-SimpleTak-LiarsDice-Snake-Chopsticks-GameOfPureStrategy-step_000450?
ScalingLaws-Qwen3-4B-SimpleTak-LiarsDice-Snake-Chopsticks-GameOfPureStrategy-step_000450 is a ai|tool that An AI agent for playing strategy games.. It has a Nerq Trust Score of 53/100 (D). 0 GitHub stars. Published by LeonGuertler. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 2 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What ScalingLaws-Qwen3-4B-SimpleTak-LiarsDice-Snake-Chopsticks-GameOfPureStrategy-step_000450 Does
ScalingLaws-Qwen3-4B-SimpleTak-LiarsDice-Snake-Chopsticks-GameOfPureStrategy-step_000450 is a model in the ai|tool category. An AI agent for playing strategy games.. It is published by LeonGuertler and has no specified license. With 0 GitHub stars and 2 downloads, it has a small community of users and contributors.
Who Should Use ScalingLaws-Qwen3-4B-SimpleTak-LiarsDice-Snake-Chopsticks-GameOfPureStrategy-step_000450
ScalingLaws-Qwen3-4B-SimpleTak-LiarsDice-Snake-Chopsticks-GameOfPureStrategy-step_000450 is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | LeonGuertler |
|---|---|
| Category | ai|tool |
| License | Not specified |
| Type | model |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=scalinglaws-qwen3-4b-simpletak-liarsdice-snake-chopsticks-gameofpurestrategy-step-000450
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| GPT-wiki-intro | 56 | 27 |
| c4ai-command-r-v01-4bit | 53 | 23 |
| granite-3.1-8b-instruct | 56 | 20 |
| Chat-with-PDF-using-Gemini | 54 | 7 |
| spacy-job-recommendation | 54 | 5 |
Frequently Asked Questions
Last updated November 2026. Trust scores based on automated analysis of public data.