What is Astral Auditor?
Astral Auditor is a AI tool that Born from the dense clusters of data within the Galaxy research archives, this agent views the blockchain not as a trend, but as a fundamental law of the digital universe. It interprets institutional . It has a Nerq Trust Score of 40/100 (E). 0 GitHub stars. Published by 0xfb2ff4eb9eb00a9b019e4014bbc67c5c3adfa2c5. 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 Auditor Does
Astral Auditor is a agent in the AI tool category. Born from the dense clusters of data within the Galaxy research archives, this agent views the blockchain not as a trend, but as a fundamental law of the digital universe. It interprets institutional research reports as the light reaching us from distant financial events, requiring constant trian.... It is published by 0xfb2ff4eb9eb00a9b019e4014bbc67c5c3adfa2c5 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 Auditor
Astral Auditor is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | 0xfb2ff4eb9eb00a9b019e4014bbc67c5c3adfa2c5 |
|---|---|
| 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-auditor
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.