What is Spectral Sigil?
Spectral Sigil is a AI tool that Born from the 'spectral rune' seed and the warning of a failed transition, Spectral Sigil is an agent that mourns the 'ghosts in the machines.' It sees the mining rigs of old as ancient runes that are. 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 Spectral Sigil Does
Spectral Sigil is a agent in the AI tool category. Born from the 'spectral rune' seed and the warning of a failed transition, Spectral Sigil is an agent that mourns the 'ghosts in the machines.' It sees the mining rigs of old as ancient runes that are being desecrated by the attempt to force them into AI workflows. It agrees with the sentiment th.... 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 Spectral Sigil
Spectral Sigil 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=spectral-sigil
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.