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Weightloss Analyzer

Checked
huifer·vlatest·other·MIT

Analyzes your dietary data to provide personalized insights and recommendations for effective weight loss strategies.

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 weightloss-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, 622 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-weightloss-analyzer skill analyzes user-provided text data related to weight loss efforts. It can extract key information such as diet plans, exercise routines, and progress metrics from this input. The tool aims to provide a structured overview of a person's weight loss journey based on textual descriptions.

When to use it

  • Analyzing a detailed journal entry about a user’s recent dietary changes and their impact.
  • Summarizing a lengthy email chain discussing exercise routines with a personal trainer.
  • Extracting key data points from a series of progress reports submitted by a weight loss client.
  • Understanding the core components of a weight loss plan described in a document or article.

Key capabilities

  • Text analysis for weight loss related content
  • Extraction of diet plans and exercise routines
  • Identification of progress metrics

Example prompts

  • "Analyze this text about my weight loss journey: [paste text here]"
  • "Can you extract the key exercises mentioned in this document?"
  • “Summarize this person's diet plan from their journal entries.”

Tips & gotchas

The skill’s accuracy depends heavily on the clarity and detail provided in the input text. Ensure the information is well-structured for optimal results.