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Rehabilitation Analyzer

Checked
huifer·vlatest·other·MIT

Analyzes patient data to identify optimal rehabilitation plans & track progress, boosting efficiency and personalized care outcomes.

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 rehabilitation-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/rehabilitation-analyzer/SKILL.md
Scanned
2 files, 1,154 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 rehabilitation-analyzer skill provides analysis of patient rehabilitation data. It allows for discovery and installation of skills for AI agents. The tool aims to improve healthcare outcomes through enhanced data processing and insights.

When to use it

  • Analyzing a patient's progress in physical therapy based on recorded exercise metrics.
  • Identifying potential roadblocks or areas needing adjustment in a rehabilitation plan.
  • Generating reports summarizing patient performance for clinicians.
  • Comparing a patient’s rehabilitation outcomes against established benchmarks.

Key capabilities

  • Data analysis of rehabilitation exercises
  • Skill discovery and installation
  • Report generation
  • Performance comparison

Example prompts

  • "Analyze this patient's range of motion data from the past week."
  • "Generate a report summarizing John Doe’s progress in occupational therapy."
  • “Compare Sarah Miller’s knee strength scores to average values for her age group.”

Tips & gotchas

The skill requires access to properly formatted rehabilitation data. Ensure that input data adheres to expected formats for accurate analysis and reporting.