Automl Skill

• Risk level: Low
• Analyzed: May 1, 2026, 7:24 AM
• Findings: 1
• Version: 1.2.0

Overview

This is a coherent instruction-only AutoML guide for PyCaret; the only notable point is that optional cloud deployment should be used deliberately.

This skill appears safe to install as documentation guidance. Before running generated ML code, review which datasets and output paths are used, avoid placing secrets in training data, and approve any model deployment, experiment logging, or cloud credential use explicitly.

Findings (1)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

ASI03: Identity and Privilege Abuse

Low

What this means

If you use the deployment examples, generated code may create or modify cloud resources and could incur costs or expose a model if configured incorrectly.

Why it was flagged

Cloud model deployment can require cloud-account credentials and permissions. The artifact presents this as an optional feature aligned with AutoML, not as an automatic action.

Skill content

☁️ **Production-Ready** - Model deployment to AWS, GCP, Azure

Recommendation

Use least-privilege cloud credentials, confirm the target account and deployment settings, and require explicit approval before running deployment code.