Caveat verdict

sagemaker-training-job

88
🟢 Trusted
No high-risk patterns surfaced by the deep scan — automated capability review, not behavioral proof.

The skill description and content indicate legitimate use of AWS SageMaker for ML training jobs, with no evidence of malicious behavior.

⚠ Flagged for review — coarse, uncorroborated signal, not a confirmed exploit. Review the config yourself before installing.

Automated static analysis — not a human review. Caveat flags capabilities, not confirmed intent, and can produce false positives. Disagree with this verdict? Use Dispute below.

78
security
90
transparency
70
maintenance

Findings (3)

Pattern match medium

Python os.environ.get — reads environment variable

references/training-scripts.md · code · os.environ.get(

Pattern match medium

subprocess execution — runs system commands from Python

scripts/sagemaker_smoke_test.py · prose · downgraded · subprocess.run(

Pattern match low

Python shutil file operation — copies/moves/deletes files

scripts/sagemaker_smoke_test.py · prose · downgraded · shutil.rmtree(

Why the tier is capped

Execution sink present in raw bytes (Hard Floor: class D). Final tier capped at Caution — cannot be lifted by any downgrade, example-payload opt-in, or allowlist.

Permissions & capabilities

Requires 1 system binary.

Is this flag fair?

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