Is Fski Reveal Safe?
Fski Reveal — Nerq Trust Score 46.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Fski Reveal 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 Fski Reveal safe?
Trust Score Breakdown — Fski Reveal has a Nerq Trust Score of 46.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Fski Reveal's trust score?
Fski Reveal 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 Fski Reveal?
Fski Reveal's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Fski Reveal and who maintains it?
| Author | folenski |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Fski Reveal
What is Fski Reveal?
Fski Reveal is a Node.js package — Animation d'éléments du DOM.
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=fski-reveal
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Fski Reveal 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
- Fski Reveal 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.