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Fitness Analyzer

Checked
huifer·vlatest·other·MIT

Analyzes your workout data to provide personalized insights & recommendations for optimizing your fitness routine and achieving goals.

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 fitness-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, 840 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 Fitness Analyzer skill analyzes your workout data to provide personalized insights and recommendations for optimizing your fitness routine and achieving your goals. It identifies patterns in your exercise habits, tracks progress over time, assesses correlations between activity and other health metrics (like weight, blood pressure, or mood), and generates tailored suggestions based on established guidelines and your individual history. This skill helps you understand your current fitness level and how to improve it effectively.

When to use it

This skill is useful in the following situations:

  • You want to understand trends in your workout habits (e.g., volume, frequency, intensity).
  • You're looking for ways to quantify progress in specific exercises like running or strength training.
  • You’d like to identify potential correlations between your workouts and other health indicators.
  • You need personalized recommendations on how to adjust your exercise routine (frequency, intensity, type).
  • You want a summary report of your fitness progress over time.

Key capabilities

  • Trend Analysis: Identifies changes in workout volume, frequency, and intensity.
  • Progress Tracking: Quantifies improvements in specific exercises like running, strength training, endurance activities, and flexibility.
  • Habit Analysis: Recognizes patterns in your exercise habits (preferred times, days of the week, types of workouts).
  • Correlation Analysis: Examines relationships between exercise and other health metrics (weight, blood pressure, glucose levels, mood, sleep).
  • Personalized Recommendations: Generates tailored suggestions for workout frequency, intensity, type, timing, and recovery.

Example prompts

  • "Analyze my fitness data from the last three months."
  • "Show me a report on my running progress over the past six months."
  • "What are some recommendations to improve my strength training routine?"
  • “Can you analyze how my workouts correlate with my blood pressure?”

Tips & gotchas

  • The skill requires access to your workout data, including metrics like duration, distance, intensity, and type of exercise.
  • Reports will be generated based on the available data; ensure accuracy for meaningful insights.
  • Correlation analysis does not necessarily imply causation – further investigation may be needed.