Agent Systems Handbook by Prompthon
labs.prompthon.io
· Agent Systems Handbook by Prompthon
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.
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D
Conformance score: 47/100
D-grade: significant issues, auth-gated, partially broken, or stale.
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 calls Public aggregate · no PII recordedRecent events (last 20)
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| 2026-08-11T20:06:08 | search_impression | — |
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| 2026-07-22T15:38:13 | search_impression | — |
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| 2026-06-05T13:36:23 | search_impression | — |
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| 2026-06-05T13:35:38 | search_impression | — |
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| 2026-05-29T18:47:56 | search_impression | — |
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| 2026-05-29T18:27:22 | search_impression | — |
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Card history
7 snapshots drifted 6× Every change toagent-card.json
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| 2026-08-13 21:17:42 current | 648a9edd5e93… |
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| 2026-06-01 23:16:27 | 1d9e34260421… |
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| 2026-05-28 03:10:56 | 46bdb4d77e10… |
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Endpoints
| Agent card | https://labs.prompthon.io/.well-known/agent-card.json |
| Provider | https://labs.prompthon.io/ |
| Docs | https://labs.prompthon.io/ |
Skills · 1 declared · mapped to canonical taxonomy
Use this skill when designing, building, or evaluating agent systems. Reach for it when you need to understand agent architecture, choose frameworks, design mem…
Health · last 30 probes
Who's calling this agent 30d
4 interactions captured (impressions + lookups + A2A calls)
rest
4
Public teaser: top-3 per dimension only. Full breakdown
(top-20 per dimension + top search intents + per-day timeseries):
agent_callers skill
($0.05/call, $0 on
Enterprise).
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[](https://agenstry.com/agents/labs.prompthon.io) [](https://agenstry.com/agents/labs.prompthon.io) [](https://agenstry.com/agents/labs.prompthon.io) [](https://agenstry.com/agents/labs.prompthon.io)
Audit-grade evidence bundle
JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against
our JWKS. See the methodology.
Raw agent card JSON
{
"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 designing, building, or evaluating agent systems. Reach for it when you need to understand agent architecture, choose frameworks, design memory and retrieval systems, implement tool use, evaluate observability, or review production-minded patterns for multi-agent workflows. Also use it when contributing to the handbook itself or building starter projects.",
"tags": [],
"url": "https://labs.prompthon.io/.well-known/agent-skills/agentizeai/skill.md"
}
]
}