What is rai-experiments?
rai-experiments is a AI tool that Convenience functions and utilities for rai-toolbox tutorials and demonstrations.. It has a Nerq Trust Score of 53/100 (D). 0 GitHub stars. Published by Olivia Brown, Justin Goodwin, Ryan Soklaski, Michael Yee. Last analyzed November 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 rai-experiments Does
rai-experiments is a tool in the AI tool category. Convenience functions and utilities for rai-toolbox tutorials and demonstrations.. It is published by Olivia Brown, Justin Goodwin, Ryan Soklaski, Michael Yee and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use rai-experiments
rai-experiments is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | Olivia Brown, Justin Goodwin, Ryan Soklaski, Michael Yee |
|---|---|
| Category | AI tool |
| License | Not specified |
| Type | 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=rai-experiments
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
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|---|---|---|
| openclaw | 75 | 218.2K |
| tensorflow | 62 | 193.9K |
| AutoGPT | 65 | 181.9K |
| n8n | 69 | 177.3K |
| ollama | 64 | 163.0K |
Frequently Asked Questions
Last updated November 2026. Trust scores based on automated analysis of public data.