Is Skillflag Safe?
Skillflag — Nerq Trust Score 69.5/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Skillflag is a npm package with a Nerq Trust Score of 69.5/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 75/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Skillflag safe?
Trust Score Breakdown — Skillflag has a Nerq Trust Score of 69.5/100 (B-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Skillflag's trust score?
Skillflag has a Nerq Trust Score of 69.5/100, 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 Skillflag?
Skillflag's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Skillflag and who maintains it?
| Author | osolmaz |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Skillflag
What is Skillflag?
Skillflag is a Node.js package — Skillflag producer CLI reference implementation..
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=skillflag
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Skillflag has a Nerq Trust Score of 70/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Skillflag has a Trust Score of 70/100 (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.