/install fitbit-analytics
Fitbit Analytics
Quick Start
# Set Fitbit API credentials
export FITBIT_CLIENT_ID="your_client_id"
export FITBIT_CLIENT_SECRET="your_client_secret"
export FITBIT_ACCESS_TOKEN="your_access_token"
export FITBIT_REFRESH_TOKEN="your_refresh_token"
# Generate morning briefing with Active Zone Minutes
python scripts/fitbit_briefing.py
# Fetch daily steps
python scripts/fitbit_api.py steps --days 7
# Get heart rate data
python scripts/fitbit_api.py heartrate --days 7
# Sleep summary
python scripts/fitbit_api.py sleep --days 7
# Generate weekly health report
python scripts/fitbit_api.py report --type weekly
# Get activity summary
python scripts/fitbit_api.py summary --days 7
When to Use
Use this skill when:
- Fetching Fitbit metrics (steps, calories, heart rate, sleep)
- Analyzing activity trends over time
- Setting up alerts for inactivity or abnormal heart rate
- Generating daily/weekly health reports
Core Workflows
1. Daily Briefing
# Generate morning health briefing (includes Active Zone Minutes)
python scripts/fitbit_briefing.py # Today's briefing
python scripts/fitbit_briefing.py --date 2026-01-20 # Specific date
python scripts/fitbit_briefing.py --format brief # 3-line summary
python scripts/fitbit_briefing.py --format json # JSON output
# Example output includes:
# - Yesterday's activities (logged exercises)
# - Yesterday's Active Zone Minutes (total, Fat Burn, Cardio, Peak)
# - Today's activity summary (steps, calories, floors, distance)
# - Heart rate (resting, average, zones)
# - Sleep (duration, efficiency, awake episodes)
# - Trends vs 7-day average
Example JSON output:
{
"date": "2026-01-21",
"steps_today": 8543,
"calories_today": 2340,
"distance_today": 6.8,
"floors_today": 12,
"active_minutes": 47,
"resting_hr": 58,
"avg_hr": 72,
"sleep_hours": 7.2,
"sleep_efficiency": 89,
"awake_minutes": 12,
"yesterday_activities": [
{"name": "Run", "duration": 35, "calories": 320}
],
"yesterday_azm": {
"activeZoneMinutes": 61,
"fatBurnActiveZoneMinutes": 39,
"cardioActiveZoneMinutes": 22
}
}
Note: Cardio Load is NOT available via Fitbit API - it's a Fitbit Premium feature only visible in the mobile app.
2. Data Fetching (CLI)
# Available commands:
python scripts/fitbit_api.py steps --days 7
python scripts/fitbit_api.py calories --days 7
python scripts/fitbit_api.py heartrate --days 7
python scripts/fitbit_api.py sleep --days 7
python scripts/fitbit_api.py summary --days 7
python scripts/fitbit_api.py report --type weekly
3. Data Fetching (Python API)
export PYTHONPATH="{baseDir}/scripts"
python - \x3C\x3C'PY'
from fitbit_api import FitbitClient
client = FitbitClient() # Uses env vars for credentials
# Fetch data (requires start_date and end_date)
steps_data = client.get_steps(start_date="2026-01-01", end_date="2026-01-16")
hr_data = client.get_heartrate(start_date="2026-01-01", end_date="2026-01-16")
sleep_data = client.get_sleep(start_date="2026-01-01", end_date="2026-01-16")
activity_summary = client.get_activity_summary(start_date="2026-01-01", end_date="2026-01-16")
PY
4. Analysis
export PYTHONPATH="{baseDir}/scripts"
python - \x3C\x3C'PY'
from fitbit_api import FitbitAnalyzer
analyzer = FitbitAnalyzer(steps_data, hr_data)
summary = analyzer.summary()
print(summary) # Returns: avg_steps, avg_resting_hr, step_trend
PY
5. Alerts
python {baseDir}/scripts/alerts.py --days 7 --steps 8000 --sleep 7
Scripts
scripts/fitbit_api.py- Fitbit Web API wrapper, CLI, and analysisscripts/fitbit_briefing.py- Morning briefing CLI (text/brief/json output)scripts/alerts.py- Threshold-based notifications
Available API Methods
| Method | Description |
|---|---|
get_steps(start, end) |
Daily step counts |
get_calories(start, end) |
Daily calories burned |
get_distance(start, end) |
Daily distance |
get_activity_summary(start, end) |
Activity summary |
get_heartrate(start, end) |
Heart rate data |
get_sleep(start, end) |
Sleep data |
get_sleep_stages(start, end) |
Detailed sleep stages |
get_spo2(start, end) |
Blood oxygen levels |
get_weight(start, end) |
Weight measurements |
get_active_zone_minutes(start, end) |
Active Zone Minutes (AZM) breakdown |
References
references/api.md- Fitbit Web API documentationreferences/metrics.md- Metric definitions and interpretations
Authentication
Fitbit API requires OAuth 2.0 authentication:
- Create app at: https://dev.fitbit.com/apps
- Get client_id and client_secret
- Complete OAuth flow to get access_token and refresh_token
- Set environment variables or pass to scripts
Environment
Required:
FITBIT_CLIENT_IDFITBIT_CLIENT_SECRETFITBIT_ACCESS_TOKENFITBIT_REFRESH_TOKEN
Automation (Cron Jobs)
Cron jobs are configured in OpenClaw's gateway, not in this repo. Add these to your OpenClaw setup:
Daily Morning Briefing (8:00 AM)
openclaw cron add \
--name "Morning Fitbit Health Report" \
--cron "0 8 * * *" \
--tz "America/Los_Angeles" \
--session isolated \
--wake next-heartbeat \
--deliver \
--channel telegram \
--target "\x3CYOUR_TELEGRAM_CHAT_ID>" \
--message "python3 /path/to/your/scripts/fitbit_briefing.py --format text"
Note: Replace /path/to/your/ with your actual path and \x3CYOUR_TELEGRAM_CHAT_ID> with your Telegram channel/group ID.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install fitbit-analytics - 安装完成后,直接呼叫该 Skill 的名称或使用
/fitbit-analytics触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Fitbit Analytics 是什么?
Fitbit health and fitness data integration. Fetch steps, heart rate, sleep, activity, calories, and trends from Fitbit Web API. Generate automated health reports and alerts. Requires FITBIT_CLIENT_ID, FITBIT_CLIENT_SECRET, FITBIT_ACCESS_TOKEN, FITBIT_REFRESH_TOKEN. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 2462 次。
如何安装 Fitbit Analytics?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install fitbit-analytics」即可一键安装,无需额外配置。
Fitbit Analytics 是免费的吗?
是的,Fitbit Analytics 完全免费(开源免费),可自由下载、安装和使用。
Fitbit Analytics 支持哪些平台?
Fitbit Analytics 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Fitbit Analytics?
由 kesslerio(@kesslerio)开发并维护,当前版本 v1.0.0。