hvault

name	hvault
metadata	{"openclaw":{"always":true,"emoji":"❤️"}}
description	Apple Health database — aggregates data from all sources (Apple Watch, iPhone, WHOOP app, third-party apps, manual entries) via Health Auto Export app. PRIMARY use: steps, walking distance, stand hours, active calories, VO2max, workouts, body weight, blood oxygen spot checks, nutrition (dietary calories, protein, carbs, fat, fiber, sugar) — anything logged to Apple Health. SECONDARY (prefer whoop skill when available): HRV, resting heart rate, sleep duration. Do NOT use for recovery score, strain, or sleep stages — use the whoop skill for those.

hae-vault

Query Apple Health data from a local SQLite database populated by the Health Auto Export iOS app. Apple Health is an aggregator — it collects data from Apple Watch, iPhone, WHOOP (when connected), and any other app writing to HealthKit.

Device context

• Apple Health — the aggregator; hae-vault is a local mirror of its full database
• WHOOP — worn 24/7 including sleep → writes sleep duration + some metrics to Apple Health when connected; authoritative source (via whoop skill) for: recovery, sleep stages, HRV, RHR, strain, SpO2, skin temp, respiratory rate
• Apple Watch — worn morning to night → primary contributor for: steps, stand hours, active calories, workouts, VO2max, daytime heart rate
• iPhone — passive background tracking → supplements steps and distance

Prefer whoop skill for: recovery, sleep quality, HRV, RHR, strain — richer data and more accurate (continuous overnight measurement). Use hvault for: steps, walking distance, stand hours, workouts, VO2max, body metrics, and any Apple Health metric not in WHOOP.

Note: WHOOP API does not expose step count or walking distance. For "how many steps / how far did I walk" → use hvault. For "how active / how hard did I work" → use whoop strain.

Workflow

Start broad, then drill down:

1. hvault dashboard --json — full snapshot (sleep, activity, heart health, workouts, trends)
2. Drill into specifics with hvault metrics, hvault sleep, hvault workouts, or hvault summary
3. Use hvault query "<sql>" for custom analysis

Always check data availability first when a metric might not exist:

hvault sources   # see what's in the DB with date ranges
hvault last-sync # when data was last received from HAE

Commands

# Broad overview
hvault dashboard --json            # full snapshot (use --json for AI)
hvault summary --days 30           # per-metric averages (JSON)
hvault trends --json               # trend directions with ranges

# Specific data
hvault sleep --days 14             # sleep stages (deep, REM, core, awake)
hvault workouts --days 30          # workouts with duration, calories, HR
hvault metrics --metric <name> --days 30   # time series for one metric

# Nutrition
hvault nutrition --days 30         # daily macros + calories (JSON); --entries for raw rows
hvault ndash --days 7              # nutrition dashboard: macros, split, trends

# Body composition
hvault body --days 90              # weight, BMI, body fat, lean mass (JSON)
hvault bdash --days 30             # body dashboard: weight, body fat trends

# Vitals
hvault vitals --days 30            # resting HR, HRV, SpO2, VO2max, BP (JSON)
hvault vdash --days 7              # vitals dashboard: heart, oxygen, recovery

# Mobility / gait
hvault mobility --days 30          # walking speed, step length, gait metrics (JSON)
hvault mdash --days 14             # mobility dashboard: gait trends

# Wellness
hvault mindfulness --days 30       # mindful minutes, daylight, handwashing (JSON)
hvault wdash --days 14             # wellness dashboard: mindfulness, daylight

# Custom
hvault query "<sql>"               # raw SQL, returns JSON array

# DB info
hvault sources                     # available metrics + date ranges
hvault stats                       # row counts per table
hvault last-sync                   # last HAE push timestamp

Key metric names

Non-obvious names to use with hvault metrics --metric <name>:

Activity

What you want	Metric name	Units
Steps	step_count	count
Walking + running distance	walking_running_distance	km
Active calories burned	active_energy	kJ
Basal calories burned	basal_energy_burned	kJ
Exercise time	apple_exercise_time	min
Stand hours	apple_stand_hour	count
Stand time	apple_stand_time	min
Flights climbed	flights_climbed	count
Physical effort	physical_effort	kcal/hr·kg
Time in daylight	time_in_daylight	min

Heart & Vitals

What you want	Metric name	Units
Heart rate	heart_rate	count/min
Resting HR	resting_heart_rate	count/min
HRV	heart_rate_variability	ms
Walking HR avg	walking_heart_rate_average	count/min
Blood oxygen (SpO2)	blood_oxygen_saturation	%
Respiratory rate	respiratory_rate	count/min
Cardio recovery	cardio_recovery	count/min
Blood pressure	blood_pressure	mmHg

Walking mechanics

What you want	Metric name	Units
Walking speed	walking_speed	km/hr
Step length	walking_step_length	cm
Walking asymmetry	walking_asymmetry_percentage	%
Double support %	walking_double_support_percentage	%
Stair speed up	stair_speed_up	m/s
Stair speed down	stair_speed_down	m/s
6-min walk distance	six_minute_walking_test_distance	m

Body metrics

What you want	Metric name	Units
Body weight	weight_body_mass	kg
Body fat %	body_fat_percentage	%
BMI	body_mass_index	count
VO2max	vo2_max	ml/(kg·min)

Nutrition (logged via food tracking app)

What you want	Metric name	Units
Dietary calories (food eaten)	dietary_energy	kJ
Protein	protein	g
Carbohydrates	carbohydrates	g
Total fat	total_fat	g
Fiber	fiber	g
Sugar	dietary_sugar	g
Sodium	sodium	mg
Cholesterol	cholesterol	mg

Other

What you want	Metric name	Units
Mindfulness minutes	mindful_minutes	min
Wrist temperature	apple_sleeping_wrist_temperature	degC
Environmental noise	environmental_audio_exposure	dBASPL
Headphone volume	headphone_audio_exposure	dBASPL

Use hvault sources to see everything in the DB with date ranges.

SQL tables (for hvault query)

metrics      — ts, date, metric, qty, min, avg, max, units, source, target
sleep        — date, sleep_start, sleep_end, core_h, deep_h, rem_h, awake_h, asleep_h, in_bed_h, source
workouts     — ts, date, name, duration_s, calories_kj, distance, distance_unit, avg_hr, max_hr, target
sync_log     — id, received_at, target, metrics_count, workouts_count
import_log   — id, file_hash, imported_at, metrics, sleep, workouts

Gotcha: calories_kj in workouts is kilojoules — divide by 4.184 for kcal.

Sleep stages note

User wears WHOOP only during sleep (no Apple Watch at night). WHOOP writes total sleep time to Apple Health but does not export sleep stages (deep/REM/core). Expect deep_h, rem_h, core_h = 0 for all recent sleep entries — this is correct, not missing data. For sleep stage breakdown, use the whoop skill instead.

Output flags

• --json on analysis/dashboard commands (dashboard, trends, ndash, bdash, vdash, mdash, wdash) → machine-readable JSON
• --pretty on query commands (metrics, sleep, workouts, summary, nutrition, body, vitals, mobility, mindfulness) → formatted JSON
• --entries on nutrition → individual log entries instead of daily totals
• --color on summary → emoji terminal output (use for user-facing replies)
• --days <n> on most commands to change the time window