{
  "$schema": "https://a2a-card.org/schema/v1.json",
  "name": "Mario Marcolongo Professional Evidence Interface",
  "version": "2026.08.26",
  "description": "Public discovery interface for Mario Marcolongo's source-backed professional dossier spanning information retrieval, data quality, AI evaluation, scientific verification, research support, source-quality investigation and open science.",
  "url": "https://mariomarcolongo.com",
  "documentationUrl": "https://mariomarcolongo.com/llms-full.txt",
  "capabilities": {
    "queryDossier": {
      "description": "Retrieve the professional summary, work history, application positioning, skills and public evidence links.",
      "endpoint": "https://mariomarcolongo.com/llms.txt",
      "method": "GET"
    },
    "queryMasterCv": {
      "description": "Access the machine-readable master CV and comprehensive evidence record.",
      "endpoint": "https://mariomarcolongo.com/cv-llm.txt",
      "method": "GET"
    },
    "queryIntegrityRecord": {
      "description": "Access public source-verification, provenance and investigation work samples.",
      "endpoint": "https://mariomarcolongo.com/integrity",
      "method": "GET"
    },
    "queryResearchOperations": {
      "description": "Access the source-backed qualitative research-support and accessibility-facilitation case study.",
      "endpoint": "https://mariomarcolongo.com/research-operations",
      "method": "GET"
    }
  },
  "supportedInterfaces": [
    {
      "url": "https://mariomarcolongo.com",
      "protocolBinding": "HTTP+JSON",
      "protocol": "HTTP/HTTPS",
      "description": "Portfolio and Markdown dossier interface"
    },
    {
      "url": "https://mariomarcolongo.com/.well-known/mcp/server-card.json",
      "protocolBinding": "MCP",
      "protocol": "MCP",
      "description": "Model Context Protocol resource card"
    }
  ],
  "skills": [
    {
      "id": "ai-safety-model-behavior",
      "name": "AI Safety & Model Behavior",
      "description": "Self-directed adversarial testing across chat, image, agentic tool-use and indirect prompt-injection challenges, with reporting that separates evidence from inference and explicit limitations."
    },
    {
      "id": "editorial-community-coordination",
      "name": "Research, Editorial & Community Coordination",
      "description": "Scientific editorial support, evidence-synthesis preparation, research facilitation, community-facing protocols, public writing and website delivery."
    },
    {
      "id": "source-quality-investigations",
      "name": "Source Quality, Trust & Investigations",
      "description": "Source provenance, public-record research, cross-source corroboration, entity reconciliation, rights context and reporting that separates evidence from inference."
    },
    {
      "id": "open-science-data-quality",
      "name": "Open Science & Data Quality",
      "description": "Scientific verification, structured metadata, provenance workflows and public records across Wikimedia, Wikidata, FAIRsharing, Zenodo and ENA."
    },
    {
      "id": "information-retrieval-research-analysis",
      "name": "Information Retrieval & Research Analysis",
      "description": "Primary-source discovery, claim tracing, source reconciliation, evidence synthesis and maintained research-information workflows."
    },
    {
      "id": "technical-delivery",
      "name": "Requirements, Testing & Technical Delivery",
      "description": "Codebase reading and behavior inspection, requirements definition, functional testing, deployment and AI-assisted implementation; not represented as independent software engineering."
    }
  ],
  "protocols": ["http", "https", "mcp"],
  "skillsIndex": "https://mariomarcolongo.com/.well-known/agent-skills/index.json"
}