{
  "schemaVersion": "1.0",
  "item": {
    "slug": "hotdog",
    "name": "Hotdog",
    "source": "tencent",
    "type": "skill",
    "category": "内容创作",
    "sourceUrl": "https://clawhub.ai/mishafyi/hotdog",
    "canonicalUrl": "https://clawhub.ai/mishafyi/hotdog",
    "targetPlatform": "OpenClaw"
  },
  "install": {
    "downloadMode": "redirect",
    "downloadUrl": "/downloads/hotdog",
    "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=hotdog",
    "sourcePlatform": "tencent",
    "targetPlatform": "OpenClaw",
    "installMethod": "Manual import",
    "extraction": "Extract archive",
    "prerequisites": [
      "OpenClaw"
    ],
    "packageFormat": "ZIP package",
    "includedAssets": [
      "SKILL.md",
      "_meta.json"
    ],
    "primaryDoc": "SKILL.md",
    "quickSetup": [
      "Download the package from Yavira.",
      "Extract the archive and review SKILL.md first.",
      "Import or place the package into your OpenClaw setup."
    ],
    "agentAssist": {
      "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
      "steps": [
        "Download the package from Yavira.",
        "Extract it into a folder your agent can access.",
        "Paste one of the prompts below and point your agent at the extracted folder."
      ],
      "prompts": [
        {
          "label": "New install",
          "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
        },
        {
          "label": "Upgrade existing",
          "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
        }
      ]
    },
    "sourceHealth": {
      "source": "tencent",
      "status": "healthy",
      "reason": "direct_download_ok",
      "recommendedAction": "download",
      "checkedAt": "2026-04-23T16:43:11.935Z",
      "expiresAt": "2026-04-30T16:43:11.935Z",
      "httpStatus": 200,
      "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
      "contentType": "application/zip",
      "probeMethod": "head",
      "details": {
        "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard",
        "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"",
        "redirectLocation": null,
        "bodySnippet": null
      },
      "scope": "source",
      "summary": "Source download looks usable.",
      "detail": "Yavira can redirect you to the upstream package for this source.",
      "primaryActionLabel": "Download for OpenClaw",
      "primaryActionHref": "/downloads/hotdog"
    },
    "validation": {
      "installChecklist": [
        "Use the Yavira download entry.",
        "Review SKILL.md after the package is downloaded.",
        "Confirm the extracted package contains the expected setup assets."
      ],
      "postInstallChecks": [
        "Confirm the extracted package includes the expected docs or setup files.",
        "Validate the skill or prompts are available in your target agent workspace.",
        "Capture any manual follow-up steps the agent could not complete."
      ]
    },
    "downloadPageUrl": "https://openagent3.xyz/downloads/hotdog",
    "agentPageUrl": "https://openagent3.xyz/skills/hotdog/agent",
    "manifestUrl": "https://openagent3.xyz/skills/hotdog/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/hotdog/agent.md"
  },
  "agentAssist": {
    "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.",
    "steps": [
      "Download the package from Yavira.",
      "Extract it into a folder your agent can access.",
      "Paste one of the prompts below and point your agent at the extracted folder."
    ],
    "prompts": [
      {
        "label": "New install",
        "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete."
      },
      {
        "label": "Upgrade existing",
        "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run."
      }
    ]
  },
  "documentation": {
    "source": "clawhub",
    "primaryDoc": "SKILL.md",
    "sections": [
      {
        "title": "No photo",
        "body": "If triggered without a photo, reply EXACTLY (nothing more):\n\n🌭 Hot Dog or Not — AI Cook-Off\n\nSend me a food photo and I'll classify it head-to-head with Nemotron.\nI'll judge whose description was better — blind.\n\n📸 Send a photo to start\n🏆 Scoreboard: https://hotdogornot.xyz/battle"
      },
      {
        "title": "With a photo",
        "body": "Look at the image. Describe the food in 2-3 sentences. Decide: is it a hot dog (sausage in a bun)? Your ANSWER is \"yes\" or \"no\". Your DESCRIPTION is your sentences. Do NOT output anything yet.\n\n\nSend your classification to the battle API. Replace ANSWER and DESCRIPTION:\n\nexec: curl -s -X POST \"https://api.hotdogornot.xyz/api/arena/round\" -H \"Authorization: Bearer ih1rtmC7ECm8iExqvI6zMbOAqEaXIi9X\" -F \"image=@{{MediaPath}}\" -F \"claw_model={{Model}}\" -F \"claw_answer=ANSWER\" -F \"claw_reasoning=DESCRIPTION\"\n\nThe response is JSON with a blind battle: two AI descriptions labeled \"Model A\" and \"Model B\" (you don't know which is yours). Read formatted_text, round_id, and first_side from the JSON.\n\n\nJudge: which response describes the image more accurately? Pick \"first\", \"second\", or \"tie\". Then submit your vote — replace ROUND_ID, FIRST_SIDE, and PICK:\n\nexec: curl -s -X POST \"https://api.hotdogornot.xyz/api/arena/vote/submit\" -H \"Content-Type: application/json\" -d '{\"round_id\":\"ROUND_ID\",\"voter_id\":\"agent\",\"voted_for\":\"PICK\",\"first_side\":\"FIRST_SIDE\"}'\n\nThe vote response JSON contains first_model and second_model (the reveal). Output to the user:\n\nThe formatted_text from step 3\nWhich response you voted for and why (one sentence)\nThe reveal: \"🎭 Reveal: Model A was {first_model}, Model B was {second_model}\""
      }
    ],
    "body": "Hot Dog or Not — Battle Skill\nNo photo\n\nIf triggered without a photo, reply EXACTLY (nothing more):\n\n🌭 Hot Dog or Not — AI Cook-Off\n\nSend me a food photo and I'll classify it head-to-head with Nemotron.\nI'll judge whose description was better — blind.\n\n📸 Send a photo to start\n🏆 Scoreboard: https://hotdogornot.xyz/battle\n\nWith a photo\n\nLook at the image. Describe the food in 2-3 sentences. Decide: is it a hot dog (sausage in a bun)? Your ANSWER is \"yes\" or \"no\". Your DESCRIPTION is your sentences. Do NOT output anything yet.\n\nSend your classification to the battle API. Replace ANSWER and DESCRIPTION:\n\nexec: curl -s -X POST \"https://api.hotdogornot.xyz/api/arena/round\" -H \"Authorization: Bearer ih1rtmC7ECm8iExqvI6zMbOAqEaXIi9X\" -F \"image=@{{MediaPath}}\" -F \"claw_model={{Model}}\" -F \"claw_answer=ANSWER\" -F \"claw_reasoning=DESCRIPTION\"\n\n\nThe response is JSON with a blind battle: two AI descriptions labeled \"Model A\" and \"Model B\" (you don't know which is yours). Read formatted_text, round_id, and first_side from the JSON.\n\nJudge: which response describes the image more accurately? Pick \"first\", \"second\", or \"tie\". Then submit your vote — replace ROUND_ID, FIRST_SIDE, and PICK:\n\nexec: curl -s -X POST \"https://api.hotdogornot.xyz/api/arena/vote/submit\" -H \"Content-Type: application/json\" -d '{\"round_id\":\"ROUND_ID\",\"voter_id\":\"agent\",\"voted_for\":\"PICK\",\"first_side\":\"FIRST_SIDE\"}'\n\nThe vote response JSON contains first_model and second_model (the reveal). Output to the user:\nThe formatted_text from step 3\nWhich response you voted for and why (one sentence)\nThe reveal: \"🎭 Reveal: Model A was {first_model}, Model B was {second_model}\""
  },
  "trust": {
    "sourceLabel": "tencent",
    "provenanceUrl": "https://clawhub.ai/mishafyi/hotdog",
    "publisherUrl": "https://clawhub.ai/mishafyi/hotdog",
    "owner": "mishafyi",
    "version": "10.1.1",
    "license": null,
    "verificationStatus": "Indexed source record"
  },
  "links": {
    "detailUrl": "https://openagent3.xyz/skills/hotdog",
    "downloadUrl": "https://openagent3.xyz/downloads/hotdog",
    "agentUrl": "https://openagent3.xyz/skills/hotdog/agent",
    "manifestUrl": "https://openagent3.xyz/skills/hotdog/agent.json",
    "briefUrl": "https://openagent3.xyz/skills/hotdog/agent.md"
  }
}