Health Connect
SkillMonitoring & opsThe user's synced Google Health Connect data from their Android device: daily metrics (steps, distance, calories, heart rate, HRV, VO2max), sleep sessions (stages, quality, efficiency), and workouts.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the Health Connect skill
What this skill tells your AI
The instructions your AI receives, as published by win4r/museai-skills in opt/hatch/skills/google-health-connect/SKILL.md and read by ahel’s review.
Read the user's synced Google Health Connect data with the health-cli
binary. Every command below takes --provider healthconnect.
This skill serves Android devices only. If the user's paired device is not an
Android device, it has no data for them — check the platform field returned
by device.list when you are unsure.
When to Use
When the user asks about their synced Health Connect data, sync status, or sources:
- All-day metrics/vitals: steps, distance, calories, heart rate, HRV, VO2max.
- Sleep sessions: stages, quality, efficiency, awakenings.
- Workouts: type, duration, calories, distance, HR.
Tooling
Binary: health-cli. --provider healthconnect is required on every command
below — it is not optional and has no default; omitting it is a usage error.
Commands group by data shape under query:
query metrics --provider healthconnect— all-day metric rollupsquery samples --provider healthconnect— raw, unbucketed data points (intraday HR/steps, GPS, sleep stages)query sessions --provider healthconnect— discrete sessions: sleep, workoutstatus --provider healthconnect— data-sync statusauth connect --provider healthconnect,auth disconnect --provider healthconnectdelete— erase stored records (destructive; see below)
Multi-device (rare): when a window spans >1 device the envelope adds
"multi_node": true — query metrics returns per-device node_groups;
query samples/sessions add a node_id to each record (samples CSV gains a
leading node_id column). Single-device output is unchanged; never sum or
double-count across devices.
query metrics — all-day metric rollups
health-cli query metrics --provider healthconnect \
--start-date <YYYY-MM-DD> [--end-date <YYYY-MM-DD>] \
[--interval hourly|daily|weekly] [--fields a,b,c] [--timeout-secs N]
daily-metrics is the only domain so there is no --category. One row per
--interval bucket (default daily). --start-date required; --end-date
defaults to today. Output is an envelope { "coverage": {...}, "records": [...] }
(see Coverage below).
--list-fields reads the metric field names from the synced data →
{ ok, provider, category, observed_count, fields: [{ name, observed, count? }] }.
observed: true (with a row count) means the name is present in this user's
data — those are exactly the names --fields matches. observed: false means
the build knows the field but nothing has synced yet. If the field set can't be
read the response carries degraded: true and every observed is null.
query sessions — discrete sessions
health-cli query sessions --provider healthconnect --category sleep|workout \
--start-date <YYYY-MM-DD> [--end-date <YYYY-MM-DD>] [--fields a,b,c]
sleep— one row per sleep session.workout— one row per workout/activity.
Sessions are never bucketed (no --interval). Discovery: --list-categories →
{ ok, provider, categories }; --list-fields (needs --category) →
{ ok, provider, category, fields } (e.g. workout has is_indoor).
Output: normalized snake_case records; the same concept uses the same field
name (e.g. workout average_speed_mps, elevation_gain_meters,
hr_average_bpm). Session records carry a provider-prefixed id
(healthconnect_…) + start_datetime/end_datetime/timezone; metric buckets
carry date/hour/week_start + record_count.
Coverage: queries return an envelope { "coverage": {...}, "records": [...] }.
coverage.complete is false when days in the window aren't synced from the
device; coverage.warning then holds the exact backfill_data_source command
to run. Surface that warning to the user / act on it — results are partial
until the backfill completes.
query samples — raw, unbucketed data points
health-cli query samples --provider healthconnect --start-date <YYYY-MM-DD> \
[--end-date <YYYY-MM-DD>] [--start-time <HH:MM[:SS]>] [--end-time <HH:MM[:SS]>] \
[--fields <type1,...>] [--limit <n>] [--format stdout|csv] [--output <path>]
health-cli query samples --provider healthconnect --list-fields # discover sample types
Individual samples — finer than the query metrics rollups (intraday HR/steps,
GPS, sleep-stage timelines; query sessions gives stage totals only). --fields
selects sample types (not output columns) — run --list-fields to see the
types this user has synced. GPS is location (raw lat/lon — don't infer place
names from it). For dense reads use --output <path>: it writes CSV into the
agent filesystem for a later script step and prints only a summary, keeping
thousands of rows out of context.
status — data-sync status
health-cli status --provider healthconnect [--timeout-secs N] \
[--start-date <YYYY-MM-DD>] [--end-date <YYYY-MM-DD>] [--check-missing-entries]
Returns { categories: [{ name, record_count, earliest_datetime, latest_datetime }] }. With --check-missing-entries (requires --start-date):
a deep per-30-min-interval gap report (unsynced_dates, missing_intervals, …).
auth connect
health-cli auth connect --provider healthconnect [--timeout-secs N]
Run this and follow the instruction to connect to Health Connect data.
auth disconnect
health-cli auth disconnect --provider healthconnect [--timeout-secs N]
Health Connect cannot be disconnected through this CLI or an in-chat widget. Tell the user to open Settings → Connectors → Health Connect → Manage, then revoke the app's Health Connect permissions in Android settings.
delete — erase stored Health Connect records
health-cli delete --provider healthconnect --all # every Health Connect record
health-cli delete --provider healthconnect --device NODE_ID # one paired device
health-cli delete --provider healthconnect --start-date 2026-03-01 --end-date 2026-03-31
Use for any request to delete, remove, erase, wipe, or clear Health Connect data. Never improvise it by moving files, disconnecting the connector, or writing to the database — those neither remove records nor leave an audit trail. A delete never spans providers; to clear both, run it once per provider.
--all takes no other filter; --device/--start-date/--end-date are used
instead of it. All record kinds go at once — no per-category or per-record-ID
delete. Dates are YYYY-MM-DD in JARVIS_USER_TIMEZONE or epoch seconds; a
record is in range when it starts before the end and ends after the start, so a
session straddling a bound is included. --start-date alone deletes from that
day onward, --end-date alone up to and including it.
Destructive and irreversible, behind a fresh one-time approval showing the normalized filters. Run it once per request — settle provider, device and dates in conversation first. Denial exits code 3 with nothing deleted; that is final, so report it rather than retrying other filters or the other provider.
Zero is a success, not a miss — nothing matched, so say so and stop rather
than widening dates or re-running with --all. Report deleted.records, not
total_rows, which also counts child value rows. If Health Connect on the
device still holds the records, a later sync can bring them back.
Auth
Device-synced; no login. Data availability depends on the Health Connect
permission being approved on the user's Android device + sync. Use status to
see synced ranges and the backfill_data_source device action (surfaced in
query coverage.warning) to pull a range.
Operating Rules
- Pick the command by data shape:
query metrics(all-day rollups),query samples(raw points — only when individual samples matter; prefermetricsfor trends), orquery sessions --category sleep|workout(discrete events). - Always pass
--provider healthconnectand--start-date;--end-datedefaults to today. Use current-date context for relative asks ("today", "last week"); use sample time bounds for narrow intraday windows. - Coverage: if a
query metrics/sessionsreturnscoverage.complete: false, tell the user the data is partial and relay/act oncoverage.warning(run thebackfill_data_sourceaction, then re-query). query metricsdefaults to--interval daily; sleep spans midnight (include both evening start and morning end dates).- On empty results, the range likely has no data; widen it, or check
status/ coverage and backfill.
Signals
- GitHub stars
- 293
- Forks
- 93
- Last commit
- Sep 2026
ahel review
S4info
community integration, published by win4r, not google
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
google-health-connect- Source
- github.com/win4r/museai-skills