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symptom-timeline

Track symptoms over time and generate doctor-ready timelines. Correlates symptoms with food, weather, medication, activity, sleep, and stress. Detects patterns, flare-ups, and produces concise clinical reports. Skill: symptom-timeline Owner: voronindenis5 Summary: Track symptoms over time and generate doctor-ready timelines. Correlates symptoms with food, weather, medication, activity, sleep, and stress. Detects patterns, flare-ups, and produces concise clinical reports. Tags: latest:0.1.0 Version history: v0.1.0 | 2026-08-14T06:18:39.707Z | auto Initial release of symptom-timeline. - Track symptoms over time, including sev

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.6k

Updated

Oct 10, 2026

Version

0.1.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.6K downloads reported by the source. Last updated 10/10/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.6K downloadsadoption · observed Oct 10, 2026
Latest release: 0.1.0release · observed Aug 14, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17b6amkd3wzqgg640v03a9r1n83gxs1:symptom-timeline

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-voronindenis5-symptom-timeline/snapshot"

Documentation

CLAWHUB

14,704 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: symptom-timeline
version: 1.0.0
author: Denis Voronin
license: MIT
description: >
  Track symptoms over time and generate doctor-ready timelines. Correlates
  symptoms with food, weather, medication, activity, sleep, and stress.
  Detects patterns, flare-ups, and produces concise clinical reports.
---

# Symptom Timeline

Track symptoms over time. Find what triggers them. Generate doctor-ready reports.

## Quick Start

```bash
# Log a symptom with triggers
python3 scripts/symptom_tracker.py log \
  --name headache \
  --severity 7 \
  --triggers "poor sleep,stress,caffeine"

# View all entries chronologically
python3 scripts/symptom_tracker.py timeline

# Find what triggers your symptoms
python3 scripts/symptom_tracker.py correlate

# Get a doctor-ready summary
python3 scripts/symptom_tracker.py summary

# Export a plain-text report for your appointment
python3 scripts/symptom_tracker.py export --output report.txt
```

## Commands

| Command | Description |
|---------|-------------|
| `log` | Record a symptom (name, severity 1-10, time, notes, triggers) |
| `timeline` | Show chronological log, optionally filtered by name or date range |
| `correlate` | Detect trigger-symptom patterns and co-occurring symptoms |
| `summary` | Generate a doctor-ready report with trends and triggers |
| `flare-up` | Detect worsening patterns (consecutive high severity, sudden jumps) |
| `heatmap` | ASCII severity heatmap over days/weeks |
| `export` | Export a plain-text report for a doctor visit |

## Trigger Categories

The script auto-categorizes triggers into:

- **food** — meals, dairy, gluten, caffeine, alcohol, etc.
- **stress** — anxiety, work pressure, deadlines
- **weather** — humidity, barometric pressure, temperature
- **medication** — drugs, doses, missed medications
- **sleep** — insomnia, poor sleep, fatigue
- **activity** — exercise, prolonged sitting/standing

You can also use explicit prefixes: `food:dairy`, `weather:high humidity`.

## Data Storage

All data is stored in `symptom_db.json` (in the skill directory by default).
Use `--db /path/to/file.json` to specify a custom location.

## References

- [Symptom Tracking Guide](references/symptom-tracking-guide.md) — what to track for common conditions
- [Doctor Visit Prep](references/doctor-visit-prep.md) — how to present symptoms effectively

README.md

# Symptom Timeline

Track symptoms over time, identify triggers, and generate doctor-ready reports.

## Features

- **Symptom Logging** — Record symptoms with severity (1-10), timestamp, notes, and triggers
- **Timeline View** — Chronological history with severity bars
- **Trigger Correlation** — Detects patterns like "headache correlates with poor sleep (80%)"
- **Cross-Symptom Analysis** — Identifies symptoms that co-occur
- **Flare-Up Detection** — Flags consecutive high-severity episodes and sudden jumps
- **Severity Heatmap** — Visual ASCII heatmap of symptom intensity over time
- **Doctor Report Export** — Clean, chronological plain-text report for appointments

## Quick Start

```bash
# Log a symptom
python3 scripts/symptom_tracker.py log \
  --name headache \
  --severity 7 \
  --triggers "poor sleep,stress"

# See your timeline
python3 scripts/symptom_tracker.py timeline

# Find patterns
python3 scripts/symptom_tracker.py correlate

# Generate a summary
python3 scripts/symptom_tracker.py summary

# Detect flare-ups
python3 scripts/symptom_tracker.py flare-up

# Visualize severity
python3 scripts/symptom_tracker.py heatmap --name headache --days 30

# Export for your doctor
python3 scripts/symptom_tracker.py export --output report.txt
```

## Trigger Categories

Triggers are auto-categorized into: **food, stress, weather, medication, sleep, activity**.

```bash
# Explicit category prefix
python3 scripts/symptom_tracker.py log --name "joint pain" --severity 6 \
  --triggers "weather:high humidity,activity:long walk"

# Auto-categorized
python3 scripts/symptom_tracker.py log --name migraine --severity 8 \
  --triggers "chocolate,deadline,poor sleep"
```

## Requirements

- Python 3.7+ (stdlib only, no pip dependencies)

## Data

All entries are stored in `symptom_db.json`. Use `--db path.json` to customize.

## License

MIT © Denis Voronin

_meta.json

{
  "ownerId": "kn75wwn4x6djaf28jbykeamazd81gtdp",
  "slug": "symptom-timeline",
  "version": "0.1.0",
  "publishedAt": 1786688319707
}

references/doctor-visit-prep.md

# Doctor Visit Preparation

How to present your symptom data effectively during medical appointments.

---

## Before the Visit

1. **Generate your report** at least a day before:
   ```bash
   python3 scripts/symptom_tracker.py export --output my_report.txt
   python3 scripts/symptom_tracker.py summary
   ```

2. **Review correlations** to understand your patterns:
   ```bash
   python3 scripts/symptom_tracker.py correlate
   ```

3. **Check for flare-ups** so you can discuss them:
   ```bash
   python3 scripts/symptom_tracker.py flare-up
   ```

4. **Highlight the top 3 issues** you want to discuss — doctors have limited time.

## During the Visit

### Lead with the summary, not the raw data
Doctors are time-pressed. Start with:
- "I've been tracking my symptoms for [X weeks]."
- "My top concern is [symptom] — it's been [trending up/stable/spiking]."
- "I've noticed it correlates with [trigger]."

### Bring the printed report
Hand over the exported text report. It provides:
- A clear timeline they can scan
- Objective severity data (not just "it's been bad")
- Identified triggers they can evaluate
- Medications you've taken (so they can check interactions)

### Key questions to ask
- "Does this pattern match what you'd expect for [condition]?"
- "Could any of these triggers be modified?"
- "Should I adjust my medication based on this data?"
- "Are there additional symptoms I should be tracking?"
- "Does the severity trend suggest we need to change the treatment plan?"

## What Doctors Look For

| Data Point | Why It Matters |
|-----------|----------------|
| **Frequency** | How often = severity of the condition |
| **Severity trend** | Worsening = treatment may need adjusting |
| **Triggers** | Avoidable triggers = actionable advice |
| **Response to medication** | Did severity drop after starting a med? |
| **Flare-up patterns** | Helps predict and prevent future episodes |
| **Co-occurring symptoms** | May indicate a unified underlying cause |

## Effective Communication Tips

1. **Be quantifiable** — "7 out of 10, three times this week" beats "it's been really bad."
2. **Show trends** — "It was a 5 last month, now it's an 8" is powerful information.
3. **Don't over-explain** — let the report speak; fill in context when asked.
4. **Mention medication changes** — if you started/stopped anything, flag it.
5. **Ask for a follow-up plan** — what to track next, when to come back.

## After the Visit

- Log any new diagnoses or medication changes as notes
- Add any new tracking recommendations from the doctor
- Continue logging to measure whether the new treatment plan is working
- Run `correlate` after 2-4 weeks to see if patterns have shifted

references/symptom-tracking-guide.md

# Symptom Tracking Guide

What to track for common chronic conditions. Use this as a reference when logging
symptoms to ensure you're capturing the data that matters.

---

## Migraines / Headaches

**Key symptoms to track:**
- Pain location (one-sided, behind eyes, temples, back of head)
- Pain type (throbbing, pressure, sharp, dull)
- Severity (1-10)
- Duration (minutes to days)
- Aura (visual disturbances, sensitivity to light/sound)
- Nausea or vomiting

**Common triggers to log:**
- **Food**: chocolate, aged cheese, MSG, nitrates, red wine, caffeine (or withdrawal)
- **Sleep**: too little, too much, disrupted
- **Stress**: high-pressure events, let-down after stress
- **Weather**: barometric pressure changes, bright sun, heat
- **Hormonal**: menstrual cycle (if applicable)
- **Activity**: intense exertion, screen time

## Irritable Bowel Syndrome (IBS)

**Key symptoms to track:**
- Abdominal pain/cramping (location, severity)
- Bloating
- Bowel movement type (diarrhea, constipation, mixed) — compare to Bristol scale
- Urgency
- Gas

**Common triggers to log:**
- **Food**: FODMAPs (onions, garlic, wheat, dairy, beans), spicy food, fatty food, caffeine, alcohol
- **Stress**: anxiety, social pressure, work
- **Sleep**: poor sleep worsens gut motility
- **Medication**: antibiotics, new supplements
- **Activity**: eating too fast, irregular meal times

## Arthritis / Joint Pain

**Key symptoms to track:**
- Joint(s) affected (which fingers, knees, hips, etc.)
- Pain severity (1-10)
- Stiffness (morning stiffness duration is a key metric)
- Swelling or warmth
- Range of motion limitation
- Fatigue

**Common triggers to log:**
- **Weather**: humidity, cold, rain, barometric pressure drops
- **Activity**: overexertion, repetitive motion, new exercise
- **Food**: nightshades (tomatoes, peppers, potatoes), sugar, alcohol (varies by person)
- **Sleep**: poor sleep increases pain sensitivity
- **Medication**: missed doses, NSAIDs, biologic timing

## Autoimmune Conditions (Lupus, RA, Psoriasis, etc.)

**Key symptoms to track:**
- Joint pain and swelling
- Fatigue severity (1-10) — track separately from pain
- Skin changes (rashes, lesions, photosensitivity)
- Fever (low-grade)
- Flare frequency and duration
- Medication side effects

**Common triggers to log:**
- **Stress**: emotional or physical stress is a top flare trigger
- **Sleep**: exhaustion is both a trigger and a symptom
- **Weather**: sun exposure (especially lupus), UV index, temperature extremes
- **Medication**: dose changes, missed medications, new drugs
- **Food**: alcohol, processed foods (inflammatory)
- **Activity**: overexertion triggers post-exertional malaise

## General Tips

1. **Log immediately** — memory degrades quickly. Log symptoms as they happen.
2. **Be consistent** — log even mild symptoms (severity 1-3). Baselines matter.
3. **Track the absence** — note when you feel good too. Patterns need contrast.
4. **Be specific with triggers** — "ate pizza" is better than "bad food

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