Is Aidev Wxbot Safe?
Aidev Wxbot — Nerq Trust Score 53.2/100 (C- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-25
Aidev Wxbot is a Python package with a Nerq Trust Score of 53.2/100 (C-), based on 3 independent data dimensions. Last analyzed: 2026-03-25 Security: 90/100. Popularity: 0/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-25. Machine-readable data (JSON).
Is Aidev Wxbot safe?
Trust Score Breakdown — Aidev Wxbot has a Nerq Trust Score of 53.2/100 (C-). Measured across 2 independent trust signals (as of 2026-03-25).
What is Aidev Wxbot's trust score?
Aidev Wxbot has a Nerq Trust Score of 53.2/100, 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 Aidev Wxbot?
Aidev Wxbot's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Aidev Wxbot and who maintains it?
| Author | tencentblueking |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Aidev Wxbot
What is Aidev Wxbot?
Aidev Wxbot is a Python package — A Django app for WeChat AI bot integration with BK AI Dev platform.
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=aidev-wxbot
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Aidev Wxbot has a Nerq Trust Score of 53/100 (C-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Aidev Wxbot has a Trust Score of 53/100 (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.
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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.