agentic-research-workflow
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Audited by Socket on Oct 8, 2026
1 alert found:
AnomalyAnomalySKILL.md
LOWAnomalyLOW
SKILL.md
SUSPICIOUS. The overall skill purpose is coherent for a research workflow, and its credentials/data flows mostly match that purpose, but the use of eval() on model-generated tool arguments is a serious execution flaw. Supply-chain risk is moderate rather than severe because installs are standard documented developer setup, yet the agentic ingestion of untrusted web content plus eval makes the skill materially risky.
Confidence: 90%Severity: 69%
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