Is Npm Packlist Safe?
Npm Packlist — Nerq Trust Score 77.2/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-10
Npm Packlist is a npm package with a Nerq Trust Score of 77.2/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-08-10 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-10. Machine-readable data (JSON).
Is Npm Packlist safe?
Trust Score Breakdown — Npm Packlist has a Nerq Trust Score of 77.2/100 (B+). Measured across 2 independent trust signals (as of 2026-08-10).
What is Npm Packlist's trust score?
Npm Packlist has a Nerq Trust Score of 77.2/100, 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 Npm Packlist?
Npm Packlist's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Npm Packlist and who maintains it?
| Author | saquibkhan |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Npm Packlist
What is Npm Packlist?
Npm Packlist is a Node.js package — Get a list of the files to add from a folder into an npm package.
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=npm-packlist
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Npm Packlist has a Nerq Trust Score of 77/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Npm Packlist has a Trust Score of 77/100 (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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 80/100 |
| Popularity | 100/100 |
| Quality | 65/100 |
| Community | 45/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Npm Packlist collect?
Npm Packlist is a Node.js package maintained by saquibkhan. It receives approximately 14,711,018 weekly downloads. Licensed under ISC.
As a development package, Npm Packlist does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Npm Packlist Privacy Report · Privacy review
Is Npm Packlist secure?
Security score: 90/100. Npm Packlist has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under ISC, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Npm Packlist Security Report
How we calculated this score
Npm Packlist's trust score of 77.2/100 (B+) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (80/100), popularity (100/100), quality (65/100), community (45/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
Signals last measured on August 10, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON 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.