According to Nerq's independent analysis of agent-hub, this pypi has a trust score of 52.8 out of 100, earning a C- grade. With 0 stars on pypi, it is below the recommended threshold of 70. Security score: 90/100. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Agent Hub safe?
CAUTION — Agent Hub has a Nerq Trust Score of 52.8/100 (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
Security
90
Popularity
15
Key Findings
✓Security score: 90/100 (strong)
⚠Popularity: 15/100 — 0 stars on pypi
Details
Author
Unknown
Category
pypi
Stars
0
Source
N/A
Safety Guide: Agent Hub
What is Agent Hub?
Agent Hub is a Python package — A Python library for creating and managing LLM powered autonomous agents..
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-hub
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Agent Hub has a Nerq Trust Score of 53/100 (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 Hub has a Trust Score of 53/100 (C-).
Review carefully before use — below trust threshold.
agent-hub has a Nerq Trust Score of 52.8/100, earning a C- grade. Caution — agent-hub has below-average trust signals. There may be concerns around maintenance frequency, security practices, or ecosystem adoption. Proceed with care and conduct additional due diligence. Its strongest signal is security (90/100). It has not yet reached the Nerq Verified threshold of 70. Always review the full KYA report before using any tool in production.
What is agent-hub's trust score?
Nerq assigns agent-hub a trust score of 52.8 out of 100, with a grade of C-. This score is computed from multiple dimensions including security, compliance, maintenance activity, documentation quality, and community adoption (0 stars). Scores are updated daily based on the latest publicly available signals.
Are there safer alternatives to agent-hub?
In the pypi category, no higher-rated alternatives were found — this is among the top-rated agents. agent-hub scores 52.8/100. When choosing between agents, consider your specific requirements for security (90), maintenance activity (N/A), and documentation (N/A). Use Nerq's comparison tools or the KYA endpoint for detailed side-by-side analysis.
How often is Agent Hub's safety score updated?
Nerq continuously monitors Agent Hub and updates its trust score as new data becomes available. The system ingests signals from 13+ independent sources including GitHub, NVD (National Vulnerability Database), OSV.dev, OpenSSF Scorecard, and major package registries (npm, PyPI). When a new CVE is disclosed, a dependency is updated, or commit activity changes, the score adjusts automatically. For the most current score, query the Nerq API: GET nerq.ai/v1/preflight?target=agent-hub. The current assessment (52.8/100, C-) was last verified on 2026-03-21.
Can I use Agent Hub in a regulated environment?
Agent Hub has not yet reached the Nerq Verified threshold of 70, which means additional due diligence is recommended for regulated environments. Nerq assesses regulatory alignment across 52 jurisdictions including the EU AI Act, GDPR, CCPA, and sector-specific frameworks. For organizations in regulated industries (healthcare, finance, government), we recommend combining the Nerq Trust Score with your internal security review process, vendor risk assessment, and legal compliance check before deployment.
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.