What is so101_cube_disk_act?
39/100
Trust Score (E)
🔴 Avoid
so101_cube_disk_act is a robotics that An AI model. It has a Nerq Trust Score of 39/100 (E). 0 GitHub stars. Published by Unknown. Last analyzed November 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 108 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
39
TRUST SCORE
E
GRADE
0
STARS
108
DOWNLOADS
What so101_cube_disk_act Does
so101_cube_disk_act is a model in the robotics category. An AI model. It is published by an independent developer and has no specified license. With 0 GitHub stars and 108 downloads, it has a small community of users and contributors.
Who Should Use so101_cube_disk_act
so101_cube_disk_act is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | robotics |
| 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=alexis779-so101-cube-disk-act
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MiniCPM-RobotManip | 44 | 147 |
| flux-3-action-base | 44 | 108 |
| MiniCPM-RobotTrack | 44 | 107 |
| Alpamayo-1.5-10B | 46 | 91 |
| GR00T-N1.7-3B | 46 | 84 |
Frequently Asked Questions
What is so101_cube_disk_act used for?
so101_cube_disk_act is a robotics tool. An AI model.
Is so101_cube_disk_act free?
License: Check project page. so101_cube_disk_act has 0 GitHub stars.
Is so101_cube_disk_act safe?
so101_cube_disk_act has a Nerq Trust Score of 39/100 (E). Evaluate carefully.
What are alternatives to so101_cube_disk_act?
Top alternatives: MiniCPM-RobotManip, flux-3-action-base, MiniCPM-RobotTrack. See full comparison.
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Last updated November 2026. Trust scores based on automated analysis of public data.