ml-pipeline — security audits

Review recommended

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

  warn

  The skill provides comprehensive templates for MLOps and ML pipelines. It includes several instances of unsafe deserialization using 'pickle', 'joblib', and 'torch.load' for model artifacts and checkpoints. While standard in ML workflows, these methods can execute arbitrary code if loading from an untrusted source.

  Risk: MEDIUMCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTIONApr 30, 2026Full report

• Socket

  pass

  No alerts

  Apr 30, 2026Full report

• Snyk

  pass

  Risk: LOW · No issues

  Risk: LOWApr 30, 2026Full report

• Runlayer

  warn

  6/6 files flagged

  Risk: MEDIUMMar 7, 2026Full report

• ZeroLeaks

  pass

  Score: 93/100 · 2 sections analyzed

  Risk: NONEApr 16, 2026Full report