Audit History
data-quality-frameworks - 4 audits
Audit version 4
Latest SafeJan 17, 2026, 07:56 AM
This skill is pure documentation containing educational examples for data quality frameworks. All 69 static findings are FALSE POSITIVES. The scanner incorrectly flagged Great Expectations library method names (e.g., 'expect_column_values_to_not_be_null') as shell backtick execution and weak cryptographic algorithms. The content has no executable code, network calls, file access, or sensitive operations.
Risk Factors
🌐 Network access (5)
⚙️ External commands (28)
Audit version 3
SafeJan 17, 2026, 07:56 AM
This skill is pure documentation containing educational examples for data quality frameworks. All 69 static findings are FALSE POSITIVES. The scanner incorrectly flagged Great Expectations library method names (e.g., 'expect_column_values_to_not_be_null') as shell backtick execution and weak cryptographic algorithms. The content has no executable code, network calls, file access, or sensitive operations.
Risk Factors
🌐 Network access (5)
⚙️ External commands (28)
Audit version 2
SafeJan 4, 2026, 04:59 PM
This skill contains only documentation and example code for data quality frameworks. No executable code, network calls, file access, or environment variable access detected. The content provides educational examples of Great Expectations, dbt tests, and data contract patterns.
Audit version 1
SafeJan 4, 2026, 04:59 PM
This skill contains only documentation and example code for data quality frameworks. No executable code, network calls, file access, or environment variable access detected. The content provides educational examples of Great Expectations, dbt tests, and data contract patterns.