Health Trend Analyzer
CheckedAnalyzes your health data to identify trends & patterns, helping you understand your well-being and make informed decisions.
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 health-trend-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/wellally-health at f604350c84.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- f604350c84
- Scanned
- 16 files, 7,772 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The Health Trend Analyzer skill analyzes provided health data to identify trends and patterns. It can summarize key findings, highlight potential areas of concern, and provide insights into overall health trajectories based on input datasets. This allows for a more informed understanding of individual or population health over time.
When to use it
- Analyzing patient records to identify emerging health risks.
- Evaluating the effectiveness of public health interventions by tracking disease prevalence.
- Summarizing clinical trial data to assess treatment efficacy and side effects.
- Identifying potential outbreaks by analyzing aggregated symptom reports.
Key capabilities
- Trend identification
- Data summarization
- Pattern recognition
- Health trajectory analysis
Example prompts
- "Analyze this patient's blood pressure readings from the last year and identify any concerning trends."
- "Summarize the key findings from this clinical trial dataset regarding treatment response."
- "Can you analyze these aggregated symptom reports to see if there are any potential outbreaks?"
Tips & gotchas
The skill requires structured health data as input, such as CSV or JSON format. The accuracy of the analysis depends heavily on the quality and completeness of the provided data.