add-sample-data

The skill presents a cohesive, purpose-aligned workflow for seeding Dataverse with sample data. The data flows, required credentials, and execution steps are largely proportionate to the task and rely on legitimate API interactions and CLI tools. There are some moderate security considerations (token handling, potential exposure via logs, and need for explicit secret handling practices). Overall, the footprint is Benign with elevated risk that warrants careful access control and credential management; no evidence of malicious behavior or exfiltration patterns was found.