Is Agent Tether Safe?
Agent Tether — Nerq Trust Score 51.8/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-21
Agent Tether is a Python package with a Nerq Trust Score of 51.8/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-21 Security: 90/100. Popularity: 15/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Agent Tether safe?
Trust Score Breakdown — Agent Tether has a Nerq Trust Score of 51.8/100 (C-). Measured across 2 independent trust signals (as of 2026-03-21).
What is Agent Tether's trust score?
Agent Tether has a Nerq Trust Score of 51.8/100, 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 Agent Tether?
Agent Tether's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Agent Tether and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Agent Tether
What is Agent Tether?
Agent Tether is a Python package — Chat platform bridges for AI agent supervision.
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-tether
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Agent Tether has a Nerq Trust Score of 52/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Agent Tether has a Trust Score of 52/100 (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.