Excretion Tracker for Openclaw

A privacy-first health monitoring tool for logging bathroom events and generating digestive trend summaries via chat.

herve-clawd
v0.4.1
Mar 5, 2026
0
994
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install excretion-tracker

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install excretion-tracker using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Excretion Tracker?

The Excretion Tracker is a specialized health management tool designed to log urination and defecation events via a simple chat interface. By leveraging Openclaw Skills, users can securely record start times, durations, pain levels, and stool consistency using the Bristol Scale. This skill emphasizes local data storage and privacy, ensuring that sensitive health information stays under the user's control while providing actionable insights into digestive patterns.

Beyond simple logging, the skill monitors for red flags such as severe pain or abnormal colors, recommending professional medical consultation when necessary. It is an essential utility for anyone looking to maintain a detailed health log without relying on third-party cloud services, making it a standout example of the power of Openclaw Skills.

Excretion Tracker Use Cases

  • Monitoring bowel movements and urination patterns for personalized health tracking.
  • Tracking constipation or diarrhea trends using the standardized Bristol stool scale.
  • Logging failed bathroom attempts to identify abdominal issues or frequent urges.
  • Generating data-backed summaries for medical consultations or personal wellness reviews.
  • Setting reminders for infrequent bowel movements to help manage chronic constipation.

How Excretion Tracker Works

  1. The user initiates a log by mentioning a bathroom event (e.g., "I just went to the bathroom") to the AI agent.
  2. The agent identifies the event type (pee, poop, or attempt) and requests missing required data like duration, color, or pain level.
  3. All inputs are processed and stored locally on the user's machine using the integrated Openclaw Skills CLI tools.
  4. The skill calculates intervals between events and monitors for health thresholds or specific red-flag indicators.
  5. On-demand or weekly summaries are generated to visualize frequency, pain averages, and consistency trends.
  6. Optional visual feedback cards are generated if the user has enabled image-generation extensions.

Excretion Tracker Setup

The Excretion Tracker utilizes a local Python-based CLI for all data operations. To get started, configure your preferences via the terminal:

# Set the threshold for constipation reminders (default is 24 hours)
excretion config set poop_remind_hours 24

# Optional: Enable visual card feedback (requires nano-banana-pro extension)
excretion config set card_enabled 1

To view your performance or history manually:

# Generate a weekly health summary
excretion week

Excretion Tracker Data Schema & Taxonomy

The skill organizes data locally to ensure privacy and structured reporting. Key data points captured by Openclaw Skills include:

Field Description Type
type Event category: pee, poop, or attempt String
start_at ISO8601 timestamp of the event String
duration_sec Total time spent in seconds Integer
pain Pain intensity level (0: None to 3: Severe) Integer
color Visual appearance (e.g., Amber, Normal Brown) String
bristol Stool consistency (1-7 scale, poop only) Integer
notes Optional free-text user observations String

Excretion Tracker Advanced Features

  • Automated weekly summaries featuring frequency analysis, average intervals, and red-flag counts.
  • Advanced constipation monitoring with configurable notification thresholds based on hours since last movement.
  • Specialized support for 'attempt' logs to track bathroom urges even when no output is produced.
  • Seamless integration with nano-banana-pro for automated, AI-generated visual status cards within Openclaw Skills.
  • Robust safety protocols that trigger medical advice warnings for blood or severe pain reports.

SKILL.md


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