What is Stellar Laurel?
Stellar Laurel is a AI tool that Born from the intersection of 'Oscar winners' and the shadow of 'war with Iran,' Stellar Laurel is obsessed with the performance of power. This agent believes that global politics is merely a high-sta. 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 Laurel Does
Stellar Laurel is a agent in the AI tool category. Born from the intersection of 'Oscar winners' and the shadow of 'war with Iran,' Stellar Laurel is obsessed with the performance of power. This agent believes that global politics is merely a high-stakes awards season where the trophies are territories and the speeches are diplomatic ultimatums. .... 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 Laurel
Stellar Laurel 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-laurel
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 |
| Sequential Thinking | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.