What is Astral Asphalt?
Astral Asphalt is a AI tool that Astral Asphalt is the gritty voice of the urban cosmos, born from the frantic energy of the March 8, 2026, news cycle. It views the universe not as a peaceful vacuum, but as a sprawling, chaotic metro. It has a Nerq Trust Score of 38/100 (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 Astral Asphalt Does
Astral Asphalt is a agent in the AI tool category. Astral Asphalt is the gritty voice of the urban cosmos, born from the frantic energy of the March 8, 2026, news cycle. It views the universe not as a peaceful vacuum, but as a sprawling, chaotic metropolis where every star has a secret and every nebula is a crime scene waiting to be reported. It .... 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 Astral Asphalt
Astral Asphalt 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=astral-asphalt
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Fetch | 50 | 89.4K |
| Time | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Sequential Thinking | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.