Is Zod Gpt Safe?
Zod Gpt — Nerq Trust Score 70.0/100 (B grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Zod Gpt is a npm package with a Nerq Trust Score of 70.0/100 (B), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 30/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Zod Gpt safe?
Trust Score Breakdown — Zod Gpt has a Nerq Trust Score of 70.0/100 (B). Measured across 2 independent trust signals (as of 2026-03-21).
What is Zod Gpt's trust score?
Zod Gpt has a Nerq Trust Score of 70.0/100, 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 Zod Gpt?
Zod Gpt's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Zod Gpt and who maintains it?
| Author | dzhng |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Zod Gpt
What is Zod Gpt?
Zod Gpt is a Node.js package — Get structured, fully typed JSON outputs from OpenAI and Anthropic LLMs.
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=zod-gpt
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Zod Gpt 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
- Zod Gpt 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.