harvard-artifacts-collection-data-engineering-analytics

SUSPICIOUS: the skill’s purpose, capabilities, and credential use are largely coherent for an ETL/dashboard project, and data flows are direct to expected endpoints. The main issue is install trust: it asks users to clone and run code from a personal GitHub repository not clearly affiliated with the skill publisher, with unpinned dependencies and no strong release verification.