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Family Health Analyzer

Checked
huifer·vlatest·other·MIT

Analyzes family health data to identify potential risks and provide personalized insights for improved well-being.

Repository

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 family-health-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.

Commit
f604350c84
Manifest
skills/family-health-analyzer/SKILL.md
Scanned
2 files, 264 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 Family Health Analyzer skill helps users understand and interpret complex family health information. It can analyze medical records, genetic test results, and lifestyle factors to identify potential risks and provide personalized insights. The tool aims to improve preventative care and promote better overall family well-being by surfacing actionable recommendations.

When to use it

  • Pre-appointment preparation: Analyze existing family medical history before a doctor's appointment to formulate targeted questions.
  • Genetic test interpretation: Get help understanding the implications of genetic testing results for yourself or your family members.
  • Risk assessment: Identify potential health risks based on combined data from multiple sources, such as lifestyle and family history.
  • Personalized wellness plans: Generate tailored recommendations for diet, exercise, and preventative screenings based on individual risk factors.

Key capabilities

  • Medical record analysis
  • Genetic test result interpretation
  • Lifestyle factor assessment
  • Risk identification
  • Personalized recommendation generation

Example prompts

  • "Analyze this genetic report and tell me about potential health risks."
  • "Based on my family's history of heart disease, what preventative measures should I take?"
  • “Can you summarize these medical records and highlight any concerning trends?”

Tips & gotchas

The accuracy of the analysis depends heavily on the quality and completeness of the input data. Ensure all provided information is accurate and up-to-date for best results.