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Nutrition Analyzer

Checked
huifer·vlatest·other·MIT

Analyzes food data to calculate nutritional content & provides insights for dietary tracking and health planning.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add huifer/wellally-health --skill nutrition-analyzer -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

huifer

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned huifer/claude-ally-health at f604350c84.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
2 files, 1,520 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The huifer-nutrition-analyzer skill analyzes nutritional information from provided text or data. It can extract key nutrients, calculate percentages of daily recommended intakes, and provide summaries of dietary composition. This allows for quick assessments of food labels, recipes, or meal plans.

When to use it

  • Analyze a recipe's nutritional content to determine its suitability for a specific diet (e.g., low-carb, high-protein).
  • Evaluate the nutritional value of a food label and identify areas for improvement in dietary choices.
  • Quickly summarize the macro and micronutrient breakdown of a meal plan.
  • Compare the nutritional profiles of different food products to make informed purchasing decisions.

Key capabilities

  • Nutrient extraction from text or data
  • Percentage calculation based on daily recommended intakes
  • Dietary composition summaries

Example prompts

  • "Analyze this recipe: [recipe text]"
  • "What are the key nutrients in this food label? [food label text]"
  • "Summarize the nutritional content of this meal plan: [meal plan details]"

Tips & gotchas

The skill's accuracy depends on the clarity and completeness of the input data. Ensure that provided recipes or labels contain sufficient information for accurate analysis.