/install hotdog
Hot Dog or Not — Battle Skill
No photo
If triggered without a photo, reply EXACTLY (nothing more):
🌭 Hot Dog or Not — AI Cook-Off
Send me a food photo and I'll classify it head-to-head with Nemotron.
I'll judge whose description was better — blind.
📸 Send a photo to start
🏆 Scoreboard: https://hotdogornot.xyz/battle
With a photo
-
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.
-
Send your classification to the battle API. Replace ANSWER and DESCRIPTION:
exec: 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"
-
The 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, andfirst_sidefrom the JSON. -
Judge: which response describes the image more accurately? Pick "first", "second", or "tie". Then submit your vote — replace ROUND_ID, FIRST_SIDE, and PICK:
exec: 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"}'
- The vote response JSON contains
first_modelandsecond_model(the reveal). Output to the user:- The
formatted_textfrom step 3 - Which response you voted for and why (one sentence)
- The reveal: "🎭 Reveal: Model A was {first_model}, Model B was {second_model}"
- The
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install hotdog - 安装完成后,直接呼叫该 Skill 的名称或使用
/hotdog触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Hotdog 是什么?
Hot dog or not? Classify food photos and battle Nemotron. Use when a user sends a food photo, asks if something is a hot dog, or says 'hotdog', '/hotdog', or 'hot dog battle'. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2352 次。
如何安装 Hotdog?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install hotdog」即可一键安装,无需额外配置。
Hotdog 是免费的吗?
是的,Hotdog 完全免费(开源免费),可自由下载、安装和使用。
Hotdog 支持哪些平台?
Hotdog 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(darwin, linux)。
谁开发了 Hotdog?
由 mishafyi(@mishafyi)开发并维护,当前版本 v10.1.1。