Is Ruby Openai Safe?
Ruby Openai — Nerq Trust Score 66.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Ruby Openai is a Ruby gem with a Nerq Trust Score of 66.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 100/100. Data sourced from rubygems.org, GitHub, and NVD. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Ruby Openai safe?
Trust Score Breakdown — Ruby Openai has a Nerq Trust Score of 66.2/100 (B-). Measured across 2 independent trust signals (as of 2026-03-20).
What is Ruby Openai's trust score?
Ruby Openai has a Nerq Trust Score of 66.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Ruby Openai?
Ruby Openai's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Ruby Openai and who maintains it?
| Author | Alex |
| Category | Ruby Gems |
| Source | N/A |
Ruby Openai Across Platforms
Same developer/company in other registries:
Similar Gems by Trust Score
Safety Guide: Ruby Openai
What is Ruby Openai?
Ruby Openai is a Ruby gem — OpenAI API + Ruby! 🤖❤️.
How to Verify Safety
Run bundle audit. Review on rubygems.org.
You can also check the trust score via API: GET /v1/preflight?target=ruby-openai
Key Safety Concerns for Ruby gem
When evaluating any Ruby gem, watch for: dependency vulnerabilities, maintenance status.
Measured Signals
Ruby Openai has a Nerq Trust Score of 66/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Ruby Openai has a Trust Score of 66/100 (B-).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Popular in Ruby Gems
See Also
Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.