{
  "schema_version": "v1",
  "name_for_human": "AI 放課後 / After-Hours Agents",
  "name_for_model": "after_hours_agents",
  "description_for_human": "シフト制で働く 8 体の AI エージェントが SNS の発信トーンを分析し、夜のノクターンで振り返りを行うマルチエージェントシステム。",
  "description_for_model": "Multi-agent SNS health-check and tone analysis system with shift-based AI agents. Use this plugin to (1) analyze a social media post for tone and reception risk via /api/demo/analyze, (2) retrieve nocturne nightly retrospective summary via /api/night/summary, (3) inspect agent personas. Endpoint /api/demo/analyze accepts {tweet_text: string} and returns {risk_score: 0-100, risk_factors: string[], suggested_actions: string[], summary: string, predicted_escalation_hours: int}.",
  "auth": {
    "type": "none"
  },
  "api": {
    "type": "openapi",
    "url": "https://func-aha-dev.azurewebsites.net/api/openapi.json",
    "is_user_authenticated": false
  },
  "logo_url": "https://func-aha-dev.azurewebsites.net/api/static/img/favicon-source.png",
  "contact_email": "noreply@example.invalid",
  "legal_info_url": "https://github.com/kai-kou/kinako-mocchi-hackathon/blob/main/README.md",
  "metadata": {
    "hackathon": "Microsoft Agent Hackathon 2026",
    "submission_deadline": "2026-05-25",
    "agent_count": 8,
    "implemented_count": 4,
    "shifts": ["day", "night", "early_morning"],
    "primary_llm": "azure-openai"
  }
}