What is evolai-mb2-002?
41/100
Trust Score (E)
⚠️ Use Caution
evolai-mb2-002 is a AI tool that An AI model. It has a Nerq Trust Score of 41/100 (E). 3 GitHub stars. Published by Unknown. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 3 stars, 6.8K downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
41
TRUST SCORE
E
GRADE
3
STARS
6.8K
DOWNLOADS
What evolai-mb2-002 Does
evolai-mb2-002 is a model in the AI tool category. An AI model. It is published by an independent developer and has no specified license. With 3 GitHub stars and 6.8K downloads, it has a small community of users and contributors.
Who Should Use evolai-mb2-002
evolai-mb2-002 is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| 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=clear-blue-sky-evolai-mb2-002
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
What is evolai-mb2-002 used for?
evolai-mb2-002 is a AI tool tool. An AI model.
Is evolai-mb2-002 free?
License: Check project page. evolai-mb2-002 has 3 GitHub stars.
Is evolai-mb2-002 safe?
evolai-mb2-002 has a Nerq Trust Score of 41/100 (E). Evaluate carefully.
What are alternatives to evolai-mb2-002?
Top alternatives: MarkItDown, Filesystem, Time. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.