Security audit
Security checks for vulnerabilities and agentic risk
This is a small data-quality operations playbook with templates and harmless echo scripts, with no hidden persistence, credential use, network calls, or destructive behavior found.
Before installing, confirm that the referenced `dq` and `workflow` commands in your environment are the tools you expect and that saving audit artifacts is acceptable for the datasets involved. The bundled files themselves are static and low-risk.
The declared purpose suggests functionality related to data quality checks and anomaly investigation support. However, the actual code does not implement any validation, checking, anomaly handling, or related resource access; it merely echoes a version identifier. This is a materially different primary purpose, so the description does not accurately represent the code chunk.
The declared description says the skill provides data quality validation patterns for daily checks and anomaly follow-up. However, the supplied code only echoes a fixed 'ok' message with a skill name and version. It does not validate data, inspect anomalies, process inputs, or implement any daily check logic. This is a materially different primary purpose, so the description does not accurately represent the code chunk.
