What is obsidiax?
52/100
Trust Score (D)
⚠️ Use Caution
obsidiax is a security that An AI-powered email phishing risk analyzer.. It has a Nerq Trust Score of 52/100 (D). 0 GitHub stars. Published by Mrianncl. Last analyzed August 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
52
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What obsidiax Does
obsidiax is a tool in the security category. An AI-powered email phishing risk analyzer.. It is published by Mrianncl and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use obsidiax
obsidiax is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Mrianncl |
|---|---|
| Category | security |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=obsidiax
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| Ciphey | 62 | 21.0K |
| strix | 68 | 20.3K |
| SWE-agent | 67 | 18.5K |
| promptfoo | 63 | 18.4K |
| anubis | 67 | 17.1K |
Frequently Asked Questions
What is obsidiax used for?
obsidiax is a security tool. An AI-powered email phishing risk analyzer..
Is obsidiax free?
License: Check project page. obsidiax has 0 GitHub stars.
Is obsidiax safe?
obsidiax has a Nerq Trust Score of 52/100 (D). Use with caution.
What are alternatives to obsidiax?
Top alternatives: Ciphey, strix, SWE-agent. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated August 2026. Trust scores based on automated analysis of public data.