recommendation-system
Pass
Audited by Gen Agent Trust Hub on Sep 15, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill provides high-quality architectures, snippets, and production patterns for recommendation systems using standard toolsets.
- [EXTERNAL_DOWNLOADS]: Documented Python package dependencies are well-known standard components (
fastapi,redis,prometheus-client,scipy,numpy,schedule). These represent safe, standard installation routines. - [COMMAND_EXECUTION]: Example quick-start bash scripts demonstrate expected local application setup steps (
docker run, usingcatto output anapp.pyscript literal, startinguvicorn, and validation via localcurl). - [DATA_EXFILTRATION]: Outgoing network integration patterns utilize standard, production-safe external hooks such as standard environment-configured Slack webhooks for operational threshold alerts using the
requestslibrary.
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