Is Agentlab Safe?
Agentlab — Nerq Trust Score 64.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Agentlab is a Python package with a Nerq Trust Score of 64.5/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Agentlab safe?
Trust Score Breakdown — Agentlab has a Nerq Trust Score of 64.5/100 (C+). Measured across 2 independent trust signals (as of 2026-03-20).
What is Agentlab's trust score?
Agentlab has a Nerq Trust Score of 64.5/100, earning a C+ grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Agentlab?
Agentlab's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Agentlab and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Agentlab
What is Agentlab?
Agentlab is a Python package — Main package for developing agents and experiments.
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=agentlab
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Agentlab has a Nerq Trust Score of 64/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Agentlab has a Trust Score of 64/100 (C+).
- 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.