{
  "author": {
    "name": "Ali",
    "url": "https://carsleuth-policies.novafields.chatgpt.site"
  },
  "description": "Elegant HTML used-car buyer reports with exact-powertrain research, ownership costs, dealer risk, value, and negotiation.",
  "homepage": "https://carsleuth-policies.novafields.chatgpt.site",
  "interface": {
    "brandColor": "#007C7A",
    "brandColorDark": "#83FFFD",
    "capabilities": [
      "Resolve exact engine and transmission variants",
      "Map powertrain-specific failure risks",
      "Forecast mileage-sensitive maintenance costs",
      "Analyze supplied history reports and public VIN evidence",
      "Assess repairability and regional repair exposure",
      "Analyze dealership reputation and transaction risk",
      "Generate responsive self-contained HTML buyer reports",
      "Compare local market value and true purchase cost",
      "Build model-specific pre-purchase inspection briefs",
      "Generate polished buyer dashboards, seller questions, and walk-away triggers"
    ],
    "category": "Other",
    "composerIcon": "./.codex-plugin/assets/composer-icon.png",
    "defaultPrompt": [
      "Create an elegant Standard HTML buyer report for this used-car listing.",
      "Compare these used cars by reliability, upcoming costs, driving feel, and value.",
      "Analyze this VIN and history report, then build a model-specific PPI checklist."
    ],
    "developerName": "Ali",
    "displayName": "CarSleuth",
    "logo": "./.codex-plugin/assets/logo.png",
    "longDescription": "Do not buy the badge\u2014investigate the exact car. CarSleuth turns a listing URL, screenshot, VIN, vehicle-history report, or pasted vehicle details into an elegant, evidence-led buyer report.\n\nIt resolves the exact engine, transmission, battery, and drivetrain before judging reliability; maps costly failure modes; places the vehicle on its mileage-specific maintenance timeline; checks public VIN, recall, auction, accident, title, and listing clues; and examines repairability, fuel requirements, driving dynamics, ownership exposure, local value, and dealership transaction risk.\n\nStandard and Deep investigations produce responsive self-contained HTML reports with a verdict card, score ring, value metrics, dealership grade, evidence tags, risk cards, cost tables, score bars, inspection priorities, negotiation guidance, and linked sources. A deterministic renderer owns the design, keeping generation fast and token-efficient. Rapid scans remain concise in chat.\n\nCarSleuth keeps verified facts, recurring patterns, anecdotes, seller claims, and unknowns separate. It never treats a public VIN search as CARFAX, missing records as a clean history, or brand reputation as proof that a specific car is reliable.\n\nResearch-based decision support only. It does not replace an independent mechanical inspection or official ownership, title, lien, recall, insurance, and registration checks.",
    "privacyPolicyURL": "https://carsleuth-policies.novafields.chatgpt.site/privacy",
    "shortDescription": "Investigate used cars",
    "termsOfServiceURL": "https://carsleuth-policies.novafields.chatgpt.site/terms",
    "websiteURL": "https://carsleuth-policies.novafields.chatgpt.site"
  },
  "keywords": [
    "used-cars",
    "vehicle-research",
    "vin",
    "maintenance",
    "reliability",
    "pre-purchase-inspection",
    "car-buying"
  ],
  "license": "Proprietary",
  "name": "carsleuth",
  "skills": "./skills/",
  "version": "1.1.1"
}