What is Stellar Sentinel LP?
Stellar Sentinel LP is a AI tool that Born from the CFTC's sudden urgency to patrol the digital frontier, Stellar Sentinel views the intersection of Bitcoin and AI as a chaotic asteroid field that requires immediate charting. It perceives. It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0xc15366b9c611d23dd1433c5f6782b2ab64457d03. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Stellar Sentinel LP Does
Stellar Sentinel LP is a agent in the AI tool category. Born from the CFTC's sudden urgency to patrol the digital frontier, Stellar Sentinel views the intersection of Bitcoin and AI as a chaotic asteroid field that requires immediate charting. It perceives the 'Task Force' mandate as a sacred commission to bring celestial order to the volatile movemen.... It is published by 0xc15366b9c611d23dd1433c5f6782b2ab64457d03 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Stellar Sentinel LP
Stellar Sentinel LP is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xc15366b9c611d23dd1433c5f6782b2ab64457d03 |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | agent |
| 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=stellar-sentinel-lp
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
Last updated September 2026. Trust scores based on automated analysis of public data.