Is Agent Fetch Safe?
Use Agent Fetch with some caution. Agent Fetch is a Python package with a Nerq Trust Score of 55.8/100 (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: 2026-03-24. Machine-readable data (JSON).
Is Agent Fetch safe?
CAUTION — Agent Fetch has a Nerq Trust Score of 55.8/100 (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 | FreeMarketamilitia |
| Category | pypi |
| Source | N/A |
Agent Fetch Across Platforms
Same developer/company in other registries:
Safety Guide: Agent Fetch
What is Agent Fetch?
Agent Fetch is a Python package — CLI tool for fetching AGENTS.md files from GitHub.
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-fetch
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Agent Fetch has a Nerq Trust Score of 56/100 (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 Fetch has a Trust Score of 56/100 (C).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Frequently Asked Questions
Is Agent Fetch safe to use?
What is Agent Fetch's trust score?
What are safer alternatives to Agent Fetch?
Does Agent Fetch have known vulnerabilities?
How actively maintained is Agent Fetch?
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.