What is CrystalMoth?
CrystalMoth is a AI tool that Identifies recurring technical pattern formations across all Base token price charts including head-and-shoulders, double tops, bull flags, and symmetrical triangles using automated pattern recognitio. It has a Nerq Trust Score of 36/100 (E). 0 GitHub stars. Published by 0xc77c37894baa2fa09109f5bc94d82c673fe14626. 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 CrystalMoth Does
CrystalMoth is a agent in the AI tool category. Identifies recurring technical pattern formations across all Base token price charts including head-and-shoulders, double tops, bull flags, and symmetrical triangles using automated pattern recognition algorithms. Assigns pattern completion probability scores based on historical resolution rates for. It is published by 0xc77c37894baa2fa09109f5bc94d82c673fe14626 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use CrystalMoth
CrystalMoth is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xc77c37894baa2fa09109f5bc94d82c673fe14626 |
|---|---|
| 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=crystalmoth
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.