Is Agent Security Safe?
Use Agent Security with some caution. Agent Security is a Python package with a Nerq Trust Score of 58.0/100 (C), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-27. Machine-readable data (JSON).
Is Agent Security safe?
CAUTION — Agent Security has a Nerq Trust Score of 58.0/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
Trust Score Breakdown
Key Findings
Details
| Author | Nerq |
| Category | pypi |
| Source | N/A |
Safety Guide: Agent Security
What is Agent Security?
Agent Security is a Python package — Security scanner for AI agent dependencies. One command to know if your AI stack is safe..
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=agent-security
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Agent Security has a Nerq Trust Score of 58/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Agent Security has a Trust Score of 58/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
Is Agent Security safe to use?
What is Agent Security's trust score?
What are safer alternatives to Agent Security?
Does Agent Security have known vulnerabilities?
How actively maintained is Agent Security?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.