Is Sessions Safe?
Sessions — Nerq Trust Score 10.0/100 (F grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Sessions is a npm package with a Nerq Trust Score of 10.0/100 (F), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 10/100. Popularity: 0/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Sessions safe?
Trust Score Breakdown — Sessions has a Nerq Trust Score of 10.0/100 (F). Measured across 2 independent trust signals (as of 2026-03-20).
What is Sessions's trust score?
Sessions has a Nerq Trust Score of 10.0/100, earning a F grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Sessions?
Sessions's strongest signal is security at 10/100. No known vulnerabilities have been detected.
What is Sessions and who maintains it?
| Author | andreihasna2 |
| Category | npm Packages |
| Source | N/A |
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Safety Guide: Sessions
What is Sessions?
Sessions is a Node.js package — Universal AI coding session search — CLI + TUI + MCP server.
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=@hasna/sessions
Key Safety Concerns for Node.js package
When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.
Measured Signals
Sessions has a Nerq Trust Score of 10/100 (F). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Sessions has a Trust Score of 10/100 (F).
- 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.