Is Qing Markdown Reader Safe?
Qing Markdown Reader — Nerq Trust Score 48.2/100 (D grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Qing Markdown Reader is a npm package with a Nerq Trust Score of 48.2/100 (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 Qing Markdown Reader safe?
Trust Score Breakdown — Qing Markdown Reader has a Nerq Trust Score of 48.2/100 (D). Measured across 2 independent trust signals (as of 2026-03-25).
What is Qing Markdown Reader's trust score?
Qing Markdown Reader has a Nerq Trust Score of 48.2/100, 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 Qing Markdown Reader?
Qing Markdown Reader's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Qing Markdown Reader and who maintains it?
| Author | qinkaiyuan |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Qing Markdown Reader
What is Qing Markdown Reader?
Qing Markdown Reader is a Node.js package — Markdown string tool, input markdown string, return html string.
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=qing-markdown-reader
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Qing Markdown Reader has a Nerq Trust Score of 48/100 (D). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Qing Markdown Reader has a Trust Score of 48/100 (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.