{
  "ocm": "1",
  "id": "mohabgabber-audioarca-audioarca",
  "kind": "skill",
  "name": "audioarca",
  "description": "This application is a toolkit for forensic phoneticians and forensic linguists.",
  "publisher": "mohabgabber",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "github-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "This application is a toolkit for forensic phoneticians and forensic linguists."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-agents",
      "repository": "https://github.com/mohabgabber/audioarca",
      "path": "AGENTS.md",
      "ref": "53b95520ca77033e64c8be5167a1350f235c638d",
      "url": "https://github.com/mohabgabber/audioarca/blob/53b95520ca77033e64c8be5167a1350f235c638d/AGENTS.md",
      "key": "mohabgabber/audioarca/AGENTS.md"
    }
  },
  "instructions": "# App Idea\n\nThis application is a toolkit for forensic phoneticians and forensic linguists.\n\nThe goal is to analyze text samples and audio samples to help identify who is who.\nThe toolkit supports structured analysis workflows focused on measurable forensic signals such as:\n- intonation patterns\n- formant structure\n- fundamental frequency (F0)\n- lexical and syntactic style\n- other phonetic and linguistic indicators\n\nAnalysis cases are recorded and tracked so specialists can create, review, and compare findings over time.",
  "cost": {
    "context_tokens": 131
  }
}