Mental Health Analyzer
CheckedAnalyzes text for signs of distress and potential mental health concerns, offering valuable insights for support and early intervention.
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 mental-health-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, 1,816 lines
- Copies in repo
- 2 — all of them scanned
About this skill
What it does
The huifer-mental-health-analyzer skill analyzes text input to identify potential mental health concerns. It can detect indicators of depression, anxiety, and stress based on language patterns and sentiment. This tool aims to provide a preliminary assessment and suggest resources for further support, but is not intended as a substitute for professional medical advice.
When to use it
- Initial Screening: Use the skill when someone expresses vague feelings of distress or you want an initial assessment of their emotional state.
- Journal Analysis: Analyze entries from personal journals or diaries to identify recurring themes and potential mental health concerns.
- Social Media Posts (with consent): With explicit permission, analyze social media posts to gain insights into a user's well-being.
- Chat Logs: Review chat logs for signs of distress or concerning language patterns.
Key capabilities
- Sentiment analysis
- Depression detection
- Anxiety detection
- Stress level assessment
- Resource suggestion
Example prompts
- "Analyze this text: 'I've been feeling really down lately, and nothing seems to be helping.'"
- "Can you assess the stress levels in this journal entry?"
- "What potential mental health concerns are indicated in this conversation?"
Tips & gotchas
The skill provides preliminary assessments only. Always emphasize that its findings should not replace professional medical advice or diagnosis. User consent is crucial when analyzing personal communications.