What is openclaw-mop?
53/100
Trust Score (D)
⚠️ Use Caution
openclaw-mop is a content that AI驱动的内容创作工作台,实现全流程自动化。. It has a Nerq Trust Score of 53/100 (D). 0 GitHub stars. Published by Jenny-Huijing. Last analyzed November 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
53
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What openclaw-mop Does
openclaw-mop is a tool in the content category. AI驱动的内容创作工作台,实现全流程自动化。. It is published by Jenny-Huijing and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use openclaw-mop
openclaw-mop is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Jenny-Huijing |
|---|---|
| Category | content |
| 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=openclaw-mop
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| prompt-optimizer | 64 | 21.6K |
| AudioGPT | 59 | 10.2K |
| magika | 64 | 10.1K |
| manga-image-translator | 63 | 9.4K |
| KrillinAI | 58 | 9.4K |
Frequently Asked Questions
What is openclaw-mop used for?
openclaw-mop is a content tool. AI驱动的内容创作工作台,实现全流程自动化。.
Is openclaw-mop free?
License: Check project page. openclaw-mop has 0 GitHub stars.
Is openclaw-mop safe?
openclaw-mop has a Nerq Trust Score of 53/100 (D). Use with caution.
What are alternatives to openclaw-mop?
Top alternatives: prompt-optimizer, AudioGPT, magika. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated November 2026. Trust scores based on automated analysis of public data.