What is csai-ai?
57/100
Trust Score (D)
⚠️ Use Caution
csai-ai is a AI|automation that CSAI-AI is an autonomous AI assistant.. It has a Nerq Trust Score of 57/100 (D). 0 GitHub stars. Published by skybluejaecho. Last analyzed June 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 2.6K downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
57
TRUST SCORE
D
GRADE
0
STARS
2.6K
DOWNLOADS
What csai-ai Does
csai-ai is a container in the AI|automation category. CSAI-AI is an autonomous AI assistant.. It is published by skybluejaecho and has no specified license. With 0 GitHub stars and 2.6K downloads, it has a small community of users and contributors.
Who Should Use csai-ai
csai-ai is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | skybluejaecho |
|---|---|
| Category | AI|automation |
| License | Not specified |
| Type | container |
| 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=csai-ai
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AIChan_Model | 57 | 110 |
| MiniMind2 | 58 | 87 |
| Undress-AI | 58 | 84 |
| MotionLLM | 56 | 43 |
| steamboat-willie-14b | 56 | 41 |
Frequently Asked Questions
What is csai-ai used for?
csai-ai is a AI|automation tool. CSAI-AI is an autonomous AI assistant..
Is csai-ai free?
License: Check project page. csai-ai has 0 GitHub stars.
Is csai-ai safe?
csai-ai has a Nerq Trust Score of 57/100 (D). Use with caution.
What are alternatives to csai-ai?
Top alternatives: AIChan_Model, MiniMind2, Undress-AI. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated June 2026. Trust scores based on automated analysis of public data.