Card snapshot
labs.prompthon.io
·
2026-08-04 17:19:32 UTC
·
8e7a51acac3b7715858ad1e63620708c24555a781f3bf8175e2f5f142dce4d50
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 this skill when helping users understand agent system design, patterns, and implementation. Reach for it when discussing agent architecture, tool design, memory systems, context engineering, protocols (MCP/A2A), evaluation, observability, frameworks, or when building production-ready agent applications. Also use it for practitioner workflows, skill packages, and case studies in research, coding, and customer support domains.",
"tags": [],
"url": "https://labs.prompthon.io/.well-known/agent-skills/agentizeai/skill.md"
}
]
}