mle-workflow — security audits

Passed all audits

Independent security partners scan this skill's files for malicious content, prompt injection and risky patterns. Verdicts below come from the skills.sh audit program; each partner links to its full report.

Gen Agent Trust Hub
pass
The skill outlines a professional workflow for machine learning engineering, focusing on data contracts, reproducibility, and security hardening. It encourages the detection of secrets, PII, and unsafe deserialization in ML artifacts. As it is designed to ingest and process external notebooks and datasets, it possesses an indirect prompt injection surface, though it provides specific guidance for mitigation.
Risk: SAFEPROMPT_INJECTIONMay 11, 2026Full report
Socket
pass
No alerts
May 11, 2026Full report
Snyk
pass
Risk: LOW · No issues
Risk: LOWMay 11, 2026Full report

mle-workflow — security audits

Passed all audits

Gen Agent Trust Hub
pass
The skill outlines a professional workflow for machine learning engineering, focusing on data contracts, reproducibility, and security hardening. It encourages the detection of secrets, PII, and unsafe deserialization in ML artifacts. As it is designed to ingest and process external notebooks and datasets, it possesses an indirect prompt injection surface, though it provides specific guidance for mitigation.
Risk: SAFEPROMPT_INJECTIONMay 11, 2026Full report
Socket
pass
No alerts
May 11, 2026Full report
Snyk
pass
Risk: LOW · No issues
Risk: LOWMay 11, 2026Full report