Is Hookified Safe?
Hookified — Nerq Trust Score 74.2/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-08-17
Hookified is a npm package with a Nerq Trust Score of 74.2/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-08-17 Security: 90/100. Popularity: 100/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-08-17. Machine-readable data (JSON).
Is Hookified safe?
Trust Score Breakdown — Hookified has a Nerq Trust Score of 74.2/100 (B). Measured across 2 independent trust signals (as of 2026-08-17).
What is Hookified's trust score?
Hookified has a Nerq Trust Score of 74.2/100, 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 Hookified?
Hookified's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Hookified and who maintains it?
| Author | jaredwray |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Hookified
What is Hookified?
Hookified is a Node.js package — Event Emitting and Middleware Hooks.
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=hookified
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Hookified has a Nerq Trust Score of 74/100 (B). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Hookified has a Trust Score of 74/100 (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 | 65/100 |
| Popularity | 100/100 |
| Quality | 80/100 |
| Community | 30/100 |
Based on 5 dimensions. Data from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Hookified collect?
Hookified is a Node.js package maintained by jaredwray. It receives approximately 13,388,116 weekly downloads. Licensed under MIT.
As a development package, Hookified 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: Hookified Privacy Report · Privacy review
Is Hookified secure?
Security score: 90/100. Hookified has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, 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: Hookified Security Report
How we calculated this score
Hookified's trust score of 74.2/100 (B) is computed from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (65/100), popularity (100/100), quality (80/100), community (30/100). 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 17, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
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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.