agentic-plugins

Add the Red Hat Security MCP server to this project. Configures the HTTP transport endpoint and explains the Red Hat Customer Portal SSO browser login flow.

Help determine the correct severity level for a Red Hat support ticket, explain SLAs, and guide what information to include.

**CRITICAL**: Use this skill for ALL CVE remediation workflows. DO NOT use individual skills piecemeal for end-to-end remediation. Use when users request: - CVE remediation playbooks or security patch deployment - Multi-step remediation (validation → context → playbook → execution) - Batch remediation across multiple systems or CVEs - End-to-end CVE management (analysis + remediation + verification) - Prioritizing and remediating CVEs (not just listing them) - Emergency security response with immediate remediation plans DO NOT use for simple queries: - "List critical CVEs" → Use `/cve-impact` skill - "What's the CVSS score for CVE-X?" → Use `/cve-impact` or `/cve-validation` - Standalone impact analysis without remediation → Use `/cve-impact` This skill orchestrates 6 specialized skills (cve-impact, cve-validation, system-context, playbook-generator, playbook-executor, remediation-verifier) for complete remediation workflows.

Provide Red Hat documentation-backed resolution recommendations for classified job errors. Use when: - After failure analysis and host fact inspection: "How do I fix this?" - "What does Red Hat recommend for this error?" - "What's the fix for privilege escalation timeout?" - "Is this a known AAP issue?" NOT for: analyzing events (use job-failure-analyzer first) or checking host facts (use host-fact-inspector first).

Configure custom ServingRuntime CRs on OpenShift AI for model serving frameworks not covered by built-in runtimes. Use when: - "Create a custom serving runtime" - "I need a runtime for ONNX / Triton / custom framework" - "Customize vLLM runtime parameters" - "What serving runtimes are available?" - "Add a custom container image for model serving" Handles listing existing runtimes, creating new ServingRuntime CRs, and validating compatibility with target models. NOT for deploying models (use /model-deploy after runtime is configured). NOT for NIM platform setup (use /nim-setup).

Validate skills against agentskills.io specification. Use when adding new skills to the marketplace, reviewing skill PRs, checking skill compliance, or running quality gates on skills. Validates frontmatter fields (name, description, compatibility, metadata, allowed-tools), directory naming, line limits, and structure.

Create and manage Jupyter notebook workbenches on OpenShift AI with image selection, resource configuration, PVC storage, and lifecycle management. Use when: - "Create a notebook workbench" - "Spin up a Jupyter environment for data science" - "Start / stop my workbench" - "What notebook images are available?" - "Delete a workbench I no longer need" Handles Notebook CR lifecycle: create with configurable images and resources, start/stop, attach storage, and delete with data loss warnings. NOT for deploying models (use /model-deploy). NOT for creating projects (use /ds-project-setup). NOT for managing pipelines (use /pipeline-manage).