Is Nushell Safe?
Nushell — Nerq Trust Score 73.2/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Nushell is a npm package with a Nerq Trust Score of 73.2/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 45/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Nushell safe?
Trust Score Breakdown — Nushell has a Nerq Trust Score of 73.2/100 (B). Measured across 2 independent trust signals (as of 2026-03-20).
What is Nushell's trust score?
Nushell has a Nerq Trust Score of 73.2/100, 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 Nushell?
Nushell's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Nushell and who maintains it?
| Author | hustcer |
| Category | npm Packages |
| Source | N/A |
Nushell Across Platforms
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Safety Guide: Nushell
What is Nushell?
Nushell is a Node.js package — The official release of Nushell with default features included..
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=nushell
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Nushell has a Nerq Trust Score of 73/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Nushell has a Trust Score of 73/100 (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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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.