{
  "id": "nvidia-agentic-ai-platform-review",
  "name": "NVIDIA Agentic AI Platform Review",
  "type": "skill",
  "provider": "nvidia",
  "harnesses": [
    "codex",
    "copilot",
    "claude-code",
    "cursor",
    "gemini",
    "kiro"
  ],
  "summary": "Review agentic-AI platforms built on the NVIDIA stack per NCP-AAI \u2014 NeMo Agent Toolkit, NIM-as-tool, retrieval pipelines, tool-use safety, agent memory boundaries, and audit logging.",
  "source_type": "original",
  "official_docs": [
    "https://www.nvidia.com/en-us/learn/certification/",
    "https://docs.nvidia.com/ai-enterprise/",
    "https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/",
    "https://docs.nvidia.com/nim/",
    "https://docs.nvidia.com/dcgm/",
    "https://docs.nvidia.com/networking/",
    "https://docs.nvidia.com/nemo-framework/"
  ],
  "security_notes": "Agent tools loaded from unsigned mutable sources are prompt injection at platform scale. Shared agent memory across tenants is cross-tenant data bleed. Unbounded tool loops are a cost and reliability incident waiting to happen.",
  "last_verified": "2026-05-10",
  "path": "skills/nvidia/nvidia-agentic-ai-platform-review/",
  "category": "ai",
  "certifications": [
    "NCP-AAI"
  ],
  "author": "github: VincentChuWaiChow",
  "version": "0.1.0"
}