ML Engineering

AdvisoryAudited by Static analysis on Apr 30, 2026.

Overview

No suspicious patterns detected.

Findings (0)

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.

What this means

If the agent uses this guidance while connected to deployment tools, model releases or retraining changes could affect production users.

Why it was flagged

The playbook includes production deployment and automated retraining topics. This is purpose-aligned for an ML engineering skill, but applying such guidance to live systems could have broad operational impact.

Skill content
"Deployment" — serving config with autoscaling; "Monitoring" — drift detection + auto-retraining
Recommendation

Use normal engineering controls for deployment and retraining: human approval, staging tests, monitoring, rollback plans, and clear scope before making live changes.