What is aidmaMJ6.1_v0.5_IL?
54/100
Trust Score (D)
⚠️ Use Caution
aidmaMJ6.1_v0.5_IL is a AI assistant that An AI agent for automation tasks.. It has a Nerq Trust Score of 54/100 (D). 1 GitHub stars. Published by LyliaEngine. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 1 stars, 7 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
54
TRUST SCORE
D
GRADE
1
STARS
7
DOWNLOADS
What aidmaMJ6.1_v0.5_IL Does
aidmaMJ6.1_v0.5_IL is a model in the AI assistant category. An AI agent for automation tasks.. It is published by LyliaEngine and has no specified license. With 1 GitHub stars and 7 downloads, it has a small community of users and contributors.
Who Should Use aidmaMJ6.1_v0.5_IL
aidmaMJ6.1_v0.5_IL is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | LyliaEngine |
|---|---|
| Category | AI assistant |
| 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=aidmamj6-1-v0-5-il
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Captain Dackie | 50 | 3.1K |
| HuggingGPT | 61 | 2.3K |
| aya-101 | 61 | 664 |
| Jan-nano | 60 | 498 |
| FinePersonas-v0.1 | 58 | 408 |
Frequently Asked Questions
What is aidmaMJ6.1_v0.5_IL used for?
aidmaMJ6.1_v0.5_IL is a AI assistant tool. An AI agent for automation tasks..
Is aidmaMJ6.1_v0.5_IL free?
License: Check project page. aidmaMJ6.1_v0.5_IL has 1 GitHub stars.
Is aidmaMJ6.1_v0.5_IL safe?
aidmaMJ6.1_v0.5_IL has a Nerq Trust Score of 54/100 (D). Use with caution.
What are alternatives to aidmaMJ6.1_v0.5_IL?
Top alternatives: Captain Dackie, HuggingGPT, aya-101. See full comparison.
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Last updated October 2026. Trust scores based on automated analysis of public data.