What is Spam-Detector?
56/100
Trust Score (D)
⚠️ Use Caution
Spam-Detector is a marketing that Detects spam content.. It has a Nerq Trust Score of 56/100 (D). 11 GitHub stars. Published by ZachBeesley. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 11 stars, 173 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
56
TRUST SCORE
D
GRADE
11
STARS
173
DOWNLOADS
What Spam-Detector Does
Spam-Detector is a model in the marketing category. Detects spam content.. It is published by ZachBeesley and has no specified license. With 11 GitHub stars and 173 downloads, it has a small community of users and contributors.
Who Should Use Spam-Detector
Spam-Detector is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | ZachBeesley |
|---|---|
| Category | marketing |
| License | Not specified |
| Type | model |
| 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=spam-detector
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| TrendRadar | 67 | 46.7K |
| Resume-Matcher | 62 | 26.0K |
| Kolors-Virtual-Try-On | 63 | 10.0K |
| BlackFriday-GPTs-Prompts | 60 | 9.2K |
| marketingskills | 63 | 8.8K |
Frequently Asked Questions
What is Spam-Detector used for?
Spam-Detector is a marketing tool. Detects spam content..
Is Spam-Detector free?
License: Check project page. Spam-Detector has 11 GitHub stars.
Is Spam-Detector safe?
Spam-Detector has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to Spam-Detector?
Top alternatives: TrendRadar, Resume-Matcher, Kolors-Virtual-Try-On. See full comparison.
Safety Report Is It Safe?
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Last updated October 2026. Trust scores based on automated analysis of public data.