Is Anyllm Safe?
Anyllm — Nerq Trust Score 55.8/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-04-04.
Use Anyllm with some caution. Anyllm 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: 2026-04-04. Machine-readable data (JSON).
Is Anyllm safe?
CAUTION — Anyllm 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.
What is Anyllm's trust score?
Anyllm has a Nerq Trust Score of 55.8/100, 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 Anyllm?
Anyllm's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Anyllm and who maintains it?
| Author | Viet-Anh Nguyen |
| Category | pypi |
| Source | N/A |
Anyllm Across Platforms
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Safety Guide: Anyllm
What is Anyllm?
Anyllm is a Python package — Private AutoGPT Robot - Your private task assistant with GPT!.
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=anyllm
Key Safety Concerns for Python packages
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Anyllm 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
- Anyllm 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
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.