orchestrate-ml-pipeline
Automates end-to-end machine learning pipelines using Prefect or Airflow, managing dependencies, scheduling, and monitoring for production workflows.
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Security score
The orchestrate-ml-pipeline skill was audited on Mar 3, 2026 and we found 4 security issues across 2 threat categories. Review the findings below before installing.
Categories Tested
Security Issues
low line 180
Webhook reference - potential data exfiltration
SourceSKILL.md
| 180 | from prefect.blocks.notifications import SlackWebhook |
medium line 206
Webhook reference - potential data exfiltration
SourceSKILL.md
| 206 | **On failure:** Verify Slack webhook configured correctly, check email SMTP settings, ensure notification blocks loaded properly, verify SLA values reasonable, check for network issues blocking notifi |
medium line 226
Webhook reference - potential data exfiltration
SourceSKILL.md
| 226 | **On failure:** Check test coverage and failures, verify Prefect Cloud credentials, ensure deployment script handles errors, check Slack webhook configuration, inspect CI logs for deployment errors. |
low line 82
External URL reference
SourceSKILL.md
| 82 | **Expected:** Orchestration framework installed, web UI accessible (Prefect at http://localhost:4200, Airflow at http://localhost:8080), database initialized, scheduler running. |
Scanned on Mar 3, 2026
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/learn @pjt222/orchestrate-ml-pipeline