{
  "name": "AI Detector",
  "description": "A privacy-first, browser-first service for Chinese and English AI-text signal analysis and responsible interpretation. This public Agent Card is a discovery profile; the current deployment does not expose a remote A2A message or task endpoint and does not accept detector text through an agent API.",
  "supportedInterfaces": [
    {
      "url": "https://detect.linis.me/",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "1.0"
    }
  ],
  "provider": {
    "organization": "Linis",
    "url": "https://linis.me/"
  },
  "version": "1.0.0",
  "documentationUrl": "https://detect.linis.me/api/",
  "iconUrl": "https://detect.linis.me/brand-symbol-v2.png",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "extendedAgentCard": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain",
    "text/html",
    "application/json"
  ],
  "skills": [
    {
      "id": "browser-local-ai-text-signal-analysis",
      "name": "Browser-local AI text signal analysis",
      "description": "Helps users find and use the AI Detector web application for Chinese, English, and mixed-language writing-pattern signals. Analysis is performed in the current browser; detector text is not sent to or stored by a remote agent API.",
      "tags": [
        "ai-detection",
        "text-analysis",
        "privacy",
        "browser-first",
        "chinese",
        "english"
      ],
      "examples": [
        "Open the AI Detector web application for a local Chinese or English text-signal analysis.",
        "Explain how to interpret an AI-text signal without treating it as proof of authorship."
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "text/plain",
        "text/html"
      ]
    },
    {
      "id": "ai-detector-methodology-and-limitations",
      "name": "AI detector methodology and limitations",
      "description": "Provides public methodology, coverage, false-positive and false-negative guidance, and responsible-use limitations. The service does not claim to identify an author, prove plagiarism, or attribute writing to a specific model.",
      "tags": [
        "methodology",
        "limitations",
        "responsible-use",
        "false-positives",
        "false-negatives"
      ],
      "examples": [
        "What are the limitations of AI-text detection?",
        "How should a detector signal be combined with drafts and human review?"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "text/plain",
        "text/html"
      ]
    },
    {
      "id": "public-service-discovery-and-health",
      "name": "Public service discovery and health",
      "description": "Exposes public, read-only discovery resources including the API catalog, OpenAPI description, health document, Auth.md guidance, and this Agent Card. The health endpoint accepts no detector text and requires no credentials.",
      "tags": [
        "discovery",
        "health",
        "api-catalog",
        "openapi",
        "auth-md"
      ],
      "examples": [
        "Check the public service health document and machine-readable API description.",
        "Discover the site's public agent and API metadata."
      ],
      "inputModes": [
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    }
  ]
}