Is Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios Safe?
Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios — Nerq Trust Score 53.2/100 (C- grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-20.
Use Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios with some caution. Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios is a NuGet package with a Nerq Trust Score of 53.2/100 (C-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 0/100. Data sourced from nuget.org, GitHub, and NVD. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios safe?
CAUTION — Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios has a Nerq Trust Score of 53.2/100 (C-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios's trust score?
Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios has a Nerq Trust Score of 53.2/100, earning a C- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios?
Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios and who maintains it?
| Author | OBeautifulCode |
| Category | NuGet Packages |
| Source | N/A |
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Safety Guide: Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios
What is Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios?
Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios is a NuGet package — Specifies scenarios for code generated tests..
How to Verify Safety
Run dotnet list package --vulnerable. Check publisher on nuget.org.
You can also check the trust score via API: GET /v1/preflight?target=OBeautifulCode.CodeGen.ModelObject.Recipes.TestScenarios
Key Safety Concerns for NuGet package
When evaluating any NuGet package, watch for: dependency vulnerabilities, publisher verification.
Trust Assessment
Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios has a Nerq Trust Score of 53/100 (C-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios has a Trust Score of 53/100 (C-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 50/100 |
| Popularity | 0/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from nuget.org, GitHub, and NVD.
What data does Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios collect?
Privacy assessment for Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios secure?
Security score: 90/100. This meets the recommended security threshold for production use.
Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.
Full analysis: Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios Security Report
How we calculated this score
Obeautifulcode.Codegen.Modelobject.Recipes.Testscenarios's trust score of 53.2/100 (C-) is computed from nuget.org, GitHub, and NVD. The score reflects 5 independent dimensions: security (90/100), maintenance (50/100), popularity (0/100), quality (65/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 20, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.