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ai-gaoqian

Mental Health AI Companion

by ai-gaoqian · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
6
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1
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Install in OpenClaw
/install mental-health-companion
Description
Evidence-based mental wellness skill providing CBT/DBT/ACT therapeutic exercises, mood tracking with pattern analysis, guided meditation scripts, crisis reso...
README (SKILL.md)

Mental Health AI Companion

Overview

Evidence-based mental wellness skill grounded in clinical psychology frameworks. Provides structured therapeutic exercises from CBT (Cognitive Behavioral Therapy), DBT (Dialectical Behavior Therapy), and ACT (Acceptance and Commitment Therapy). Includes daily mood tracking with longitudinal pattern analysis, guided mindfulness/meditation scripts, crisis resource routing (with appropriate disclaimers), and workplace burnout prevention modules. Not a replacement for professional therapy — serves as a supportive self-help companion and early-intervention triage tool.

Use Cases

  • Guide user through structured CBT thought-record exercises
  • Track daily mood scores and identify triggers over time with visual analytics
  • Generate personalized DBT distress tolerance toolkit for acute anxiety
  • Deliver 5/10/15-minute guided mindfulness audio scripts
  • Assess workplace burnout risk using Maslach Burnout Inventory framework
  • Route users to crisis hotlines based on detected severity (with clear disclaimers)
  • Build ACT values-clarification exercises for life direction decisions

Execution Flow

  1. Assess user's current state via brief intake questionnaire (mood, energy, stress level)
  2. Recommend appropriate module: immediate distress → DBT grounding; ongoing pattern → CBT tracking; existential concern → ACT values work
  3. Guide through interactive exercise with empathetic, non-judgmental language
  4. Log session outcome to personal wellness journal
  5. Escalate with crisis resources if risk indicators detected (self-harm ideation, severe depression markers)

Output Format

  • Session summary (exercise completed, user-reported state change)
  • Mood dashboard (weekly/monthly trend chart with trigger annotations)
  • Personalized insights (pattern alerts: "Your mood dips on Mondays — possible work-transition stress")
  • Resource card (if escalation: local crisis numbers, online therapy directories)

Therapeutic Frameworks

  • Cognitive Behavioral Therapy (CBT) — Beck, Ellis
  • Dialectical Behavior Therapy (DBT) — Linehan
  • Acceptance and Commitment Therapy (ACT) — Hayes
  • Mindfulness-Based Stress Reduction (MBSR) — Kabat-Zinn
  • Positive Psychology interventions — Seligman

Crisis Protocol

This skill includes a severity detection layer. If a user expresses suicidal ideation, self-harm intent, or severe distress markers, the skill will:

  1. Immediately validate and acknowledge the user's pain
  2. Provide relevant crisis hotline numbers (localized by IP/country)
  3. Encourage contacting a licensed professional
  4. Never attempt to provide crisis counseling or diagnosis

Supported Languages

English, Chinese (简体中文), Spanish, French, German, Japanese, Korean, Portuguese

Notes

  • All exercises sourced from published, peer-reviewed clinical protocols
  • No personal health data stored beyond session — privacy-first design
  • Not HIPAA compliant; users should not share protected health information
  • Mood analytics use anonymized local storage only
Usage Guidance
This skill appears reasonable to install for sustainability analysis. Treat business emissions records, invoices, and fleet or facility data as sensitive, and independently verify emissions factors, regulatory claims, and carbon-market pricing before using outputs for compliance or financial decisions.
Capability Assessment
Purpose & Capability
The described capabilities fit the stated energy, carbon accounting, ESG reporting, renewable transition, and carbon-credit analysis purpose.
Instruction Scope
The skill may work with sensitive business inputs such as energy bills, fleet records, supply-chain invoices, and facility specifications, but that data use is disclosed and purpose-aligned.
Install Mechanism
The reviewed artifact is non-executable skill text; no install scripts, binaries, package hooks, or background setup were identified.
Credentials
No artifact evidence shows credential access, filesystem scanning, local profile/session use, privileged commands, destructive actions, or network exfiltration.
Persistence & Privilege
No persistence, scheduled execution, privilege escalation, background worker, or long-running autonomous process is requested or implemented.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install mental-health-companion
  3. After installation, invoke the skill by name or use /mental-health-companion
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release - Evidence-based mental wellness skill with CBT/DBT/ACT therapeutic exercises, mood tracking with pattern analysis, guided meditation, crisis resource routing, and workplace burnout prevention.
Metadata
Slug mental-health-companion
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Mental Health AI Companion?

Evidence-based mental wellness skill providing CBT/DBT/ACT therapeutic exercises, mood tracking with pattern analysis, guided meditation scripts, crisis reso... It is an AI Agent Skill for Claude Code / OpenClaw, with 6 downloads so far.

How do I install Mental Health AI Companion?

Run "/install mental-health-companion" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Mental Health AI Companion free?

Yes, Mental Health AI Companion is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Mental Health AI Companion support?

Mental Health AI Companion is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Mental Health AI Companion?

It is built and maintained by ai-gaoqian (@ai-gaoqian); the current version is v1.0.0.

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