harvard-artifacts-etl-pipeline
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Audited by Socket on Oct 1, 2026
1 alert found:
AnomalyAnomalySKILL.md
LOWAnomalyLOW
SKILL.md
SUSPICIOUS. The skill’s API/SQL/dashboard capabilities fit its stated ETL purpose and data flows are direct, but install trust is weak because the publisher points users to execute code from an unrelated personal GitHub repo with unpinned dependencies and no verification trail.
Confidence: 90%Severity: 64%
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