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'.
---
name: hotdog
version: 10.0.0
description: "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'."
homepage: https://hotdogornot.xyz/battle
metadata: {"openclaw": {"emoji": "๐ญ", "os": ["darwin", "linux"], "requires": {"bins": ["curl"]}}}
---
# Hot Dog or Not โ Battle Skill
## No photo
If triggered without a photo, reply EXACTLY (nothing more):
```
๐ญ Hot Dog or Not โ 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 โ blind.
๐ธ Send a photo to start
๐ Scoreboard: https://hotdogornot.xyz/battle
```
## 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:
```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"
```
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 โ 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"}'
```
5. 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: "๐ญ Reveal: Model A was {first_model}, Model B was {second_model}"
don't have the plugin yet? install it then click "run inline in claude" again.