ML Engineering
PassAudited by VirusTotal on May 12, 2026.
Overview
Type: OpenClaw Skill Name: afrexai-ml-engineering Version: 1.0.0 The skill bundle provides a comprehensive methodology for ML/AI engineering, including structured templates and best practices. All files, including the SKILL.md (treated as prompt-injection surface), contain only informational content, standard configuration templates (e.g., Dockerfile with a local health check), and benign instructions for an AI agent to apply ML principles. There is no evidence of intentional harmful behavior, data exfiltration, unauthorized command execution, or malicious prompt injection attempts. External links in README.md are for marketing and not executed by the agent.
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.
If the agent uses this guidance while connected to deployment tools, model releases or retraining changes could affect production users.
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.
"Deployment" — serving config with autoscaling; "Monitoring" — drift detection + auto-retraining
Use normal engineering controls for deployment and retraining: human approval, staging tests, monitoring, rollback plans, and clear scope before making live changes.