Is Engines Safe?
Engines — Nerq Trust Score 85.0/100 (A grade). Score based on 2 independent trust signals. Last analyzed: 2026-09-07
Engines is a npm package with a Nerq Trust Score of 85.0/100 (A), based on 3 independent data dimensions. Last analyzed: 2026-09-07 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-09-07. Machine-readable data (JSON).
Is Engines safe?
Trust Score Breakdown — Engines has a Nerq Trust Score of 85.0/100 (A). Measured across 2 independent trust signals (as of 2026-09-07).
What is Engines's trust score?
Engines has a Nerq Trust Score of 85.0/100, earning a A grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Engines?
Engines's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Engines and who maintains it?
| Author | prismabot |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Engines
What is Engines?
Engines is a Node.js package — This package is intended for Prisma's internal use.
How to Verify Safety
Run npm audit to check for vulnerabilities. Review the package's GitHub repository for recent commits.
You can also check the trust score via API: GET /v1/preflight?target=@prisma/engines
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Engines has a Nerq Trust Score of 85/100 (A). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Engines has a Trust Score of 85/100 (A).
- 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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 90/100 |
| Popularity | 100/100 |
| Quality | 80/100 |
| Community | 60/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Engines collect?
Engines is a Node.js package maintained by prismabot. It receives approximately 17,431,338 weekly downloads. Licensed under Apache-2.0.
As a development package, Engines does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Engines Privacy Report · Privacy review
Is Engines secure?
Security score: 90/100. Engines has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under Apache-2.0, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Engines Security Report
How we calculated this score
Engines's trust score of 85.0/100 (A) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (90/100), popularity (100/100), quality (80/100), community (60/100). 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.
Signals last measured on September 07, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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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.