ml-pipeline
Pass
Audited by Gen Agent Trust Hub on Aug 23, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill implements standard machine learning infrastructure patterns for orchestration, tracking, and validation. No malicious code, obfuscation, or unauthorized network operations were detected.
- [INDIRECT_PROMPT_INJECTION]: The skill defines ingestion points for external datasets (CSV, Parquet) in scripts like
references/feature-engineering.mdandreferences/pipeline-orchestration.md. While it recommends and provides code for data validation checkpoints using Great Expectations to mitigate risks, the agent handles untrusted data which is an inherent surface for indirect injection. - [DYNAMIC_EXECUTION]: The provided templates in
SKILL.mdandreferences/training-pipelines.mdusepickleandjoblibfor model serialization and artifact management. These are standard tools in the ML domain for the primary purpose of the skill, although they involve deserialization of data.
Audit Metadata