Rehabilitation Analyzer
CheckedThis Rehabilitation Analyzer assesses patient data to identify optimal recovery pathways and predict treatment effectiveness for improved outcomes.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add huifer/wellally-health --skill rehabilitation-analyzer -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- f604350c84
- Scanned
- 2 files, 1,154 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The huifer-rehabilitation-analyzer skill provides analysis of rehabilitation programs. It can interpret and summarize complex data related to patient recovery, identifying potential areas for improvement or adjustment in treatment plans. This tool aims to assist healthcare professionals in optimizing patient outcomes through data-driven insights.
When to use it
- Analyzing a new patient's rehabilitation plan to identify potential risks or benefits.
- Evaluating the effectiveness of an existing program based on patient progress reports.
- Comparing different rehabilitation approaches for similar conditions.
- Generating summaries of lengthy rehabilitation documentation for quick review.
Key capabilities
- Data interpretation from rehabilitation records
- Program summarization
- Identification of potential areas for improvement in treatment plans
- Comparative analysis of rehabilitation approaches
Example prompts
- "Analyze this patient's physical therapy progress report and identify any concerning trends."
- "Summarize the key components of this stroke rehabilitation program."
- "Compare the outcomes of aquatic therapy versus land-based therapy for knee replacement patients, based on these reports."
Tips & gotchas
The skill requires detailed and structured data input to function effectively. Ensure that provided information is accurate and complete for optimal analysis.