Is Agent Framework Chatkit Safe?
Agent Framework Chatkit — Nerq Trust Score 64.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Agent Framework Chatkit is a Python package with a Nerq Trust Score of 64.5/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Agent Framework Chatkit safe?
Trust Score Breakdown — Agent Framework Chatkit has a Nerq Trust Score of 64.5/100 (C+). Measured across 2 independent trust signals (as of 2026-03-21).
What is Agent Framework Chatkit's trust score?
Agent Framework Chatkit 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 Agent Framework Chatkit?
Agent Framework Chatkit's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Agent Framework Chatkit and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Agent Framework Chatkit
What is Agent Framework Chatkit?
Agent Framework Chatkit is a Python package — OpenAI ChatKit integration for Microsoft Agent Framework..
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-framework-chatkit
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Agent Framework Chatkit 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
- Agent Framework Chatkit 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.