What is Giskard AI Giskard Oss?
46/100
Trust Score (D)
⚠️ Use Caution
Giskard AI Giskard Oss is a ai_tool that An AI ai_tool. It has a Nerq Trust Score of 46/100 (D). 0 GitHub stars. Published by Unknown. Last analyzed August 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
46
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What Giskard AI Giskard Oss Does
Giskard AI Giskard Oss is a ai_tool in the ai_tool category. An AI ai_tool. It is published by Unknown and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Giskard AI Giskard Oss
Giskard AI Giskard Oss is recommended only for experimental use. Consider alternatives with higher trust scores for production systems.
Details
| Author | Unknown |
|---|---|
| Category | ai_tool |
| License | Not specified |
| Type | ai_tool |
| 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=giskard-ai-giskard-oss
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| LLaVA | 61 | 24.5K |
| Qwen2.5-VL-7B-Instruct | 69 | 1.5K |
| Qwen2.5-7B-Instruct | 59 | 1.1K |
| Qwen2.5-1.5B-Instruct | 59 | 617 |
| Qwen3-4B | 63 | 556 |
Frequently Asked Questions
What is Giskard AI Giskard Oss used for?
Giskard AI Giskard Oss is a ai_tool tool. An AI ai_tool.
Is Giskard AI Giskard Oss free?
License: Check project page. Giskard AI Giskard Oss has 0 GitHub stars.
Is Giskard AI Giskard Oss safe?
Giskard AI Giskard Oss has a Nerq Trust Score of 46/100 (D). Evaluate carefully.
What are alternatives to Giskard AI Giskard Oss?
Top alternatives: LLaVA, Qwen2.5-VL-7B-Instruct, Qwen2.5-7B-Instruct. See full comparison.
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Last updated August 2026. Trust scores based on automated analysis of public data.