assuring-data-pipelines
Pass
Audited by Gen Agent Trust Hub on Jun 14, 2026
Risk Level: SAFE
Full Analysis
- [EXTERNAL_DOWNLOADS]: The skill instructs the user to install standard data engineering packages including
great_expectations,pandera,opentelemetry-api,opentelemetry-sdk,opentelemetry-exporter-otlp, andprometheus-clientfrom the official Python Package Index (PyPI). These are well-known industry-standard tools. - [COMMAND_EXECUTION]: The provided code snippets demonstrate local execution of data validation tasks, such as running Great Expectations checkpoints and Pandera schema validations. It also includes local networking setup for Prometheus (
start_http_server(8000)) and OpenTelemetry (http://localhost:4317), which are standard for development and monitoring environments. - [DATA_EXPOSURE]: The skill interacts with local data sources (e.g.,
data/sales.parquetand SQL databases) for legitimate ETL and validation purposes. No patterns of sensitive data exfiltration or access to protected system files (like credentials or SSH keys) were found. - [SAFE]: No malicious patterns such as prompt injection, obfuscation, or persistence mechanisms were detected. The skill's stated purpose of providing data pipeline assurance aligns with the functionality of the included scripts.
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