Is Agent Log Safe?
Use Agent Log with some caution. Agent Log is a Python package with a Nerq Trust Score of 50.8/100 (C-), based on 3 independent data dimensions. It is below the recommended threshold of 70. Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-26. Machine-readable data (JSON).
Is Agent Log Safe?
CAUTION — Agent Log has a Nerq Trust Score of 50.8/100 (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
Key Findings
Details
| Author | Micah Ellison |
| Category | pypi |
| Source | N/A |
Agent Log Across Platforms
Same developer/company in other registries:
Safety Guide: Agent Log
What is Agent Log?
Agent Log is a Python package — A command-line journal built for AI agents, with semantic search..
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-log
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Agent Log has a Nerq Trust Score of 51/100 (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 Log has a Trust Score of 51/100 (C-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
Is Agent Log safe to use?
What is Agent Log's trust score?
What are safer alternatives to Agent Log?
Does Agent Log have known vulnerabilities?
How actively maintained is Agent Log?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.