A high-performance CLI tool for logging health symptoms, tracking wellness patterns, and visualizing long-term health trends offline.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install symptom
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install symptom using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Symptom is a dedicated health and wellness tool designed for users who prioritize privacy and efficiency. As a part of the ecosystem of Openclaw Skills, it allows you to log symptoms, track frequency, and chart trends directly from your terminal. Unlike cloud-based health apps, it operates entirely offline, ensuring your sensitive medical data never leaves your local machine.
This skill is built for developers and power users who need a fast, command-line interface to manage their personal health data without the bloat of a traditional GUI. By integrating with Openclaw Skills, Symptom provides a streamlined workflow for maintaining a detailed health log that is always accessible and fully under your control.
To get started with this health tracking skill, use the following commands to initialize and explore the interface:
# Verify installation and view available commands
symptom help
# Check current status and data directory health
symptom status
# View existing summary statistics
symptom stats
The skill organizes data locally within the ~/.local/share/symptom/ directory to ensure maximum privacy within the Openclaw Skills environment.
| File/Resource | Description |
|---|---|
*.log |
Individual log files containing specific symptom entries. |
history.log |
A chronological audit log of all actions taken within the skill. |
DATA_DIR |
The root directory where all health metrics and configuration reside. |
Each entry is stored with a precise timestamp and metadata associated with the specific command used (e.g., goal, milestone, trend), making it easy to parse for advanced analytics.
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