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Nutrition Analyzer

Checked
huifer·vlatest·productivity·MIT

Analyzes food data to estimate nutritional content & macronutrient ratios, aiding in dietary tracking and informed meal 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/wellally-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 Nutrition Analyzer skill analyzes dietary and nutritional data to identify patterns, assess nutritional status, and provide personalized recommendations for improvement. It can track macronutrient ratios (protein, carbohydrates, fats, fiber, calories) and micronutrients (vitamins, minerals), evaluate nutrient intake against recommended daily allowances (RDAs), and analyze correlations between nutrition and other health indicators like weight, exercise, sleep, blood pressure, and glucose levels. Ultimately, this skill aims to aid in dietary tracking and informed meal planning.

When to use it

This skill is useful for:

  • Understanding trends in your nutritional intake over time.
  • Evaluating whether you're meeting recommended daily allowances for key nutrients.
  • Identifying potential nutrient deficiencies or excesses.
  • Exploring the relationship between your diet and other health metrics (e.g., weight management, sleep quality).
  • Receiving personalized suggestions to improve your overall nutritional profile.

Key capabilities

  • Nutrient Trend Analysis: Identifies changes in nutrient intake over time, including macronutrients and micronutrients.
  • Nutrient Intake Assessment: Evaluates whether nutrient consumption meets RDA/AI standards for various vitamins, minerals, and macronutrient types.
  • Nutritional Status Assessment: Provides an overall assessment of nutritional quality based on factors like nutrient density and dietary patterns.
  • Correlation Analysis: Analyzes relationships between nutrition and health indicators (weight, exercise, sleep, blood pressure, glucose).
  • Personalized Recommendation Generation: Creates tailored suggestions for improving diet based on user data and established guidelines.

Example prompts

Here are some examples of how you might use this skill:

  • "Analyze my nutritional trends over the past month."
  • "Assess my vitamin D intake and tell me if I'm at risk of deficiency."
  • "What is the correlation between my diet and my sleep quality?"
  • “Give me personalized suggestions for improving my macronutrient ratios.”

Tips & gotchas

  • Data Dependency: The skill requires access to nutritional tracking data (e.g., daily food logs) in a specific JSON format (nutrition-tracker.json, YYYY-MM-DD.json).
  • Recommendation Limitations: Supplement suggestions are provided for informational purposes only and should not be considered medical advice. Always consult with a healthcare professional before taking any supplements.
  • Analysis Scope: Be sure to specify the time range (e.g., week, month, quarter) and depth of analysis (macronutrients, micronutrients, comprehensive) when requesting an assessment.