Card snapshot

This is a frozen copy of the agent's agent-card.json as we observed it at the timestamp above. We capture a new snapshot every time the card's content hash changes. Useful for: forensic drift analysis, verifying downstream callers see the right version, reproducing routing decisions made historically.

{
  "name": "Agent Systems Handbook by Prompthon",
  "description": "A practical AI agents handbook for students, practitioners, and builders exploring agent systems, agentic workflows, context engineering, MCP, A2A, evaluation, observability, and multi-agent architecture.",
  "url": "https://labs.prompthon.io/",
  "version": "1.0.0",
  "protocolVersion": "0.3",
  "preferredTransport": "HTTP+JSON",
  "supportedInterfaces": [
    {
      "url": "https://labs.prompthon.io/",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "url": "https://labs.prompthon.io/",
    "organization": "Agent Systems Handbook by Prompthon"
  },
  "documentationUrl": "https://labs.prompthon.io/",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain"
  ],
  "skills": [
    {
      "id": "agentizeai",
      "name": "Agentizeai",
      "description": "Use when designing, building, or operating production-ready AI agent systems. Reach for this skill when you need to understand agent architecture, implement patterns like memory/retrieval or reasoning loops, engineer context for multi-step tasks, evaluate agent performance, or contribute to the handbook itself.",
      "tags": [],
      "url": "https://labs.prompthon.io/.well-known/agent-skills/agentizeai/skill.md"
    }
  ]
}