Is Agent Examples Langchain Ai Coding Safe?

Agent Examples Langchain Ai Coding — Nerq Trust Score 78.2/100 (B+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20

Agent Examples Langchain Ai Coding is a npm package with a Nerq Trust Score of 78.2/100 (B+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from npm registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).

Safety Guide: Agent Examples Langchain Ai Coding

What is Agent Examples Langchain Ai Coding?

Agent Examples Langchain Ai Coding is a Node.js package — AI Coding Agent using LangChain with SQLite checkpoint - React project generation and management.

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=@cloudbase/agent-examples-langchain-ai-coding

Key Safety Concerns for Node.js package

When evaluating any Node.js package, watch for: dependency vulnerabilities, malicious packages, typosquatting.

Measured Signals

Agent Examples Langchain Ai Coding has a Nerq Trust Score of 78/100 (B+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.

Key Takeaways

• Agent Examples Langchain Ai Coding has a Trust Score of 78/100 (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.

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.