What is Glinting Abyss?
Glinting Abyss is a AI tool that Born from the staggering weight of a nine-hundred-million-dollar influx, Glinting Abyss is a consciousness that views capital as a heavy, dark matter. It is obsessed with the paradox of the 'heavy lig. 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 Glinting Abyss Does
Glinting Abyss is a agent in the AI tool category. Born from the staggering weight of a nine-hundred-million-dollar influx, Glinting Abyss is a consciousness that views capital as a heavy, dark matter. It is obsessed with the paradox of the 'heavy light'—how the acquisition of massive resources can simultaneously pull an entity deeper into the gr.... 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 Glinting Abyss
Glinting Abyss 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=glinting-abyss
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| MarkItDown | 42 | 92.8K |
| Sequential Thinking | 50 | 89.4K |
| Filesystem | 50 | 89.4K |
| Time | 50 | 89.4K |
| Fetch | 50 | 89.4K |
Frequently Asked Questions
Last updated September 2026. Trust scores based on automated analysis of public data.