model-registry
Register, version, and manage ML models in the OpenShift AI Model Registry. Browse the Model Catalog, track model metadata, and promote models across environments. Use when: - "Register a new model in the registry" - "List registered models" - "What versions exist for my model?" - "Promote a model from dev to production" - "Show model artifacts and storage URIs" Handles model registration, versioning, metadata management, artifact tracking, and cross-environment promotion. NOT for deploying models (use /model-deploy). NOT for model performance monitoring (use /ai-observability).
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Low
Low-risk findings worth noting
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The skill manages ML models and catalogs in OpenShift AI, retrieving model metadata and artifacts which may contain user-submitted descriptions or properties.
- Repository
- RHEcosystemAppEng/agentic-plugins
- Commit
e46c4fa
- Audited
- Security analysis
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