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WiseDiag Food Calorie Estimator icon

WiseDiag Food Calorie Estimator

Life Service Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Please follow https://skillhub.cn/install/skillhub.md and install @user_a457224d/wisediag-calories.

About this skill

What Problem It Solves

When a user has a local food photo or an image URL and wants to know roughly how many calories a serving contains, the usual workflow requires identifying the dish, estimating portion size, and looking up nutrition data manually. This skill turns that request into a scriptable analysis flow for quick reference results in a conversational workflow.

How The Skill Works

  • Input modes: supports uploading local image files as a binary stream, or submitting an image URL for cloud-based recognition. The two modes are mutually exclusive per command.
  • Invocation: uses a script that reads the WISEDIAG_API_KEY environment variable and avoids exposing the underlying HTTP endpoint directly.
  • Output: identifies food items and estimates calories plus nutritional content per serving, saving Markdown results under ~/.openclaw/workspace/WiseDiag-Calories/ by default.
  • Multi-image support: -f or --image can be repeated up to 5 times, useful when a request includes multiple photos or multiple servings.

Boundaries

  • The skill depends on WiseDiag cloud processing, so image content is transmitted to a remote service and is not suitable for sensitive or private photos.
  • Results are for reference only and do not constitute professional nutritional or dietary advice; specific medical or dietary needs should be discussed with a qualified nutritionist.
  • Images should be clear, well-lit, and preferably JPG, JPEG, or PNG; large image requests may take time, so the process should be allowed to finish.

Use Cases

  • Estimate total calories from a takeout photo after capturing the meal.
  • Submit several breakfast images at once to get per-serving calories and Markdown.
  • Turn a shared dish photo URL into a reference calorie note for export.
  • Test an assistant by checking local-file and URL inputs both return results.

Best For

  • Dieting users logging meals who need one food photo turned into a calorie note.
  • Nutrition content creators who need a dish photo converted into editable Markdown.
  • Assistant engineers who need to integrate food-photo calorie estimation and saved output.
  • QA engineers testing multimodal tools who need local-file and URL inputs verified.