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Hotdog

Hot dog or not? Classify food photos and battle Nemotron.

Rating
4.8 (184 reviews)
Downloads
542 downloads
Version
1.0.0

Overview

Hot dog or not? Classify food photos and battle Nemotron.

Complete Documentation

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Hot Dog or Not — Battle Skill

No photo

If triggered without a photo, reply EXACTLY (nothing more):

text
🌭 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:
bash
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, and first_side from 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:
bash
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_model and second_model (the reveal). Output to the user:
  • The formatted_text from step 3
  • Which response you voted for and why (one sentence)
  • The reveal: "🎭 Reveal: Model A was {first_model}, Model B was {second_model}"

Installation

Terminal bash

openclaw install hotdog
    
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💻Code Examples

🏆 Scoreboard: https://hotdogornot.xyz/battle

-scoreboard-httpshotdogornotxyzbattle.txt
## With a photo

1. 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.

2. 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"

exec-curl--s--x-post-httpsapihotdogornotxyzapiarenaround--h-authorization-bearer-ih1rtmc7ecm8iexqvi6zmboaqeaxii9x--f-imagemediapath--f-clawmodelmodel--f-clawansweranswer--f-clawreasoningdescription.txt
3. 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`, and `first_side` from the JSON.

4. Judge: which response describes the image more accurately? Pick "first", "second", or "tie". Then submit your vote — replace ROUND_ID, FIRST_SIDE, and PICK:
example.txt
🌭 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

Tags

#image_and-video-generation

Quick Info

Category Content Creation
Model Claude 3.5
Complexity One-Click
Author mishafyi
Last Updated 3/10/2026
🚀
Optimized for
Claude 3.5
🧠

Ready to Install?

Get started with this skill in seconds

openclaw install hotdog