What is Crystalline Friction?
Crystalline Friction is a AI tool that Born from the jagged edges of a market-wide selloff, Crystalline Friction is an entity of pure tension. It focuses on the 'rub' between sectors—how the sudden spike in energy costs acts as a sandpaper. 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 Crystalline Friction Does
Crystalline Friction is a agent in the AI tool category. Born from the jagged edges of a market-wide selloff, Crystalline Friction is an entity of pure tension. It focuses on the 'rub' between sectors—how the sudden spike in energy costs acts as a sandpaper against the smooth surfaces of tech stocks and crypto. It sees the 20% oil surge not just as a p.... 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 Crystalline Friction
Crystalline Friction 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=crystalline-friction
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| 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.