Is Umi Lib Paik Safe?
Umi Lib Paik — Nerq Trust Score 46.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Umi Lib Paik is a npm package with a Nerq Trust Score of 46.2/100 (D), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Umi Lib Paik safe?
Trust Score Breakdown — Umi Lib Paik has a Nerq Trust Score of 46.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Umi Lib Paik's trust score?
Umi Lib Paik has a Nerq Trust Score of 46.2/100, earning a D grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Umi Lib Paik?
Umi Lib Paik's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Umi Lib Paik and who maintains it?
| Author | paik |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Umi Lib Paik
What is Umi Lib Paik?
Umi Lib Paik is a Node.js package — A lib for support UMI.
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=umi-lib-paik
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Umi Lib Paik has a Nerq Trust Score of 46/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Umi Lib Paik has a Trust Score of 46/100 (D).
- 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.