Agent skill

Health Data

Query Apple Health SQLite database for vitals, activity, sleep, and workouts.

MITAuto-check passedProductivity & Automation

Install Health Data

skills CLI

$ npx skills add glebis/claude-skills --skill health-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills health-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/health-data .claude/skills/health-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "health-data" agent skill from https://github.com/glebis/claude-skills/tree/main/health-data into .claude/skills/health-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "health-data", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/glebis/claude-skills/tree/main/health-data

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add glebis/claude-skills --skill health-data -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills health-data --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/health-data .agents/skills/health-data && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "health-data" agent skill from https://github.com/glebis/claude-skills/tree/main/health-data into .agents/skills/health-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "health-data", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add glebis/claude-skills --skill health-data -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills health-data --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/health-data .cursor/skills/health-data && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "health-data" agent skill from https://github.com/glebis/claude-skills/tree/main/health-data into .cursor/skills/health-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "health-data", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/glebis/claude-skills.git --path health-data

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add glebis/claude-skills --skill health-data -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills health-data --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/health-data .gemini/skills/health-data && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "health-data" agent skill from https://github.com/glebis/claude-skills/tree/main/health-data into .gemini/skills/health-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "health-data", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install glebis/claude-skills health-data

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add glebis/claude-skills --skill health-data -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/health-data .github/skills/health-data && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "health-data" agent skill from https://github.com/glebis/claude-skills/tree/main/health-data into .github/skills/health-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "health-data", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add glebis/claude-skills --skill health-data -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install glebis/claude-skills health-data --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/glebis/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/health-data .opencode/skills/health-data && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "health-data" agent skill from https://github.com/glebis/claude-skills/tree/main/health-data into .opencode/skills/health-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "health-data", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: health-data
GitHub stars: 391
Token cost: ~1.7k tokens
SKILL.md length: 393 words
Files: 5 (incl. scripts, references)
Skills in repo: 92
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Query Apple Health SQLite database for vitals, activity, sleep, and workouts.

Works in 2 steps: Python Script (Recommended for Common… → Direct SQL (For Custom/Ad-hoc Queries)
Tasks that involve Health and fitness tracking
SKILL.md covers Database Location, Query Methods, Pre-built Queries and Output Formats, plus 5 more sections
Runs Python scripts from its folder; calls python and sqlite3

What it does

Health Data is an agent skill from glebis/claude-skills. Query Apple Health SQLite database for vitals, activity, sleep, and workouts. Supports Markdown, JSON, and FHIR R4 output formats. This skill should be used when analyzing health metrics, generating health reports, answering questions about fitness or sleep patterns, or exporting health data in standard formats.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `.claude-plugin/plugin.json`, `references/fhir_mappings.md` and `references/schema.md`).

It sits in Productivity & Automation, covering Health and fitness tracking and Clinical and healthcare research. It works with SQLite and SQL. The repository describes itself as: Collection of Claude Code skills for enhanced AI workflows. The licence is MIT.

When your agent uses it

Tasks that involve Health and fitness tracking
Tasks that involve Clinical and healthcare research

Example prompts

“/health-data”

Requirements

Python 3

Workflow steps

2 steps, taken from the step headings in SKILL.md.

Python Script (Recommended for Common Queries)
Direct SQL (For Custom/Ad-hoc Queries)

What it can do on your machine

Read from SKILL.md and the folder at commit 3b88261. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
- sqlite3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Health Data loads about 1.7k tokens when it runs, and up to ~6.2k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 393 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~81
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~6.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from glebis/claude-skills at commit 3b88261, republished under its MIT licence (© glebis). 393 words, ~1,711 tokens.

Download SKILL.mdSave it as .claude/skills/health-data/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: health-data
description: Query Apple Health SQLite database for vitals, activity, sleep, and workouts. Supports Markdown, JSON, and FHIR R4 output formats. This skill should be used when analyzing health metrics, generating health reports, answering questions about fitness or sleep patterns, or exporting health data in standard formats.

Apple Health Data Query Skill

Query and analyze health data from the local SQLite database containing 6.3M+ records across 43 health metrics.

Database Location

~/data/health.db

Query Methods

1. Python Script (Recommended for Common Queries)

Use scripts/health_query.py for pre-built queries with automatic formatting:

bash

# Daily summary
python ~/.claude/skills/health-data/scripts/health_query.py --format markdown daily --date 2025-11-29

# Weekly trends
python ~/.claude/skills/health-data/scripts/health_query.py --format json weekly --weeks 4

# Sleep analysis
python ~/.claude/skills/health-data/scripts/health_query.py --format fhir sleep --days 7

# Latest vitals
python ~/.claude/skills/health-data/scripts/health_query.py vitals

# Activity rings
python ~/.claude/skills/health-data/scripts/health_query.py --format json activity --days 30

# Workout history
python ~/.claude/skills/health-data/scripts/health_query.py workouts --days 30 --type Running

# Custom SQL
python ~/.claude/skills/health-data/scripts/health_query.py --format json query "SELECT * FROM workouts LIMIT 5"

Output formats: markdown, json, fhir, ascii

2. Direct SQL (For Custom/Ad-hoc Queries)

For flexible queries, run SQL directly against the database. See references/schema.md for table structures and query templates.

bash

sqlite3 ~/data/health.db "SELECT AVG(value) FROM health_records WHERE record_type LIKE '%HeartRate%' AND start_date LIKE '2025-11%'"

Pre-built Queries

Daily Health Summary

Get today's key metrics:

bash

python ~/.claude/skills/health-data/scripts/health_query.py daily

Returns: steps, calories, heart rate (avg/min/max), exercise minutes, distance, activity ring status.

Weekly Trends

Compare week-over-week performance:

bash

python ~/.claude/skills/health-data/scripts/health_query.py weekly --weeks 4

Returns: average daily steps, resting HR, exercise minutes, workout count per week.

Sleep Analysis

Analyze sleep patterns:

bash

python ~/.claude/skills/health-data/scripts/health_query.py sleep --days 14

Returns: nightly duration, sleep stages (Core, Deep, REM), average sleep hours.

Latest Vitals

Get most recent vital readings:

bash

python ~/.claude/skills/health-data/scripts/health_query.py vitals

Returns: Heart Rate, HRV, Resting HR, Blood Oxygen, Respiratory Rate with timestamps.

Activity Rings

Track ring completion:

bash

python ~/.claude/skills/health-data/scripts/health_query.py activity --days 30

Returns: daily ring values/goals, completion percentages, perfect day count.

Workout History

Review exercise sessions:

bash

python ~/.claude/skills/health-data/scripts/health_query.py workouts --days 30 --type Running

Returns: workout type, duration, distance, calories, summary by type.

Output Formats

Markdown (default)

Human-readable tables and lists. Best for reports and summaries.

JSON

Structured data for programmatic use:

json

{
  "date": "2025-11-29",
  "metrics": {
    "steps": 8542,
    "active_calories": 450.5,
    "heart_rate": {"avg": 72.3, "min": 52, "max": 145}
  }
}

FHIR R4

Healthcare interoperability format. Outputs as FHIR Bundle with Observation resources using LOINC codes. See references/fhir_mappings.md for code mappings.

ASCII

Terminal-friendly output with bar charts and statistics:

============================================================
  DAILY SUMMARY - 2025-11-29
============================================================

METRICS
----------------------------------------
  steps                      2620
  active_calories           234.5
  heart_rate           avg:  67.5  min:  52  max: 108

ACTIVITY RINGS
----------------------------------------
  move       [███████░░░░░░░░░░░░░]  36.7% (238/650)
  exercise   [░░░░░░░░░░░░░░░░░░░░]   0.0% (0/35)
  stand      [████████████████████] 100.0% (10/10)

Common SQL Patterns

For ad-hoc queries, use these patterns from references/schema.md:

Heart rate by hour (circadian pattern):

sql

SELECT strftime('%H', start_date) as hour, ROUND(AVG(value), 1) as avg_hr
FROM health_records
WHERE record_type = 'HKQuantityTypeIdentifierHeartRate'
AND value BETWEEN 40 AND 200
GROUP BY hour ORDER BY hour;

Steps per day this month:

sql

SELECT DATE(start_date) as day, SUM(value) as steps
FROM health_records
WHERE record_type = 'HKQuantityTypeIdentifierStepCount'
AND start_date >= DATE('now', 'start of month')
GROUP BY day ORDER BY day;

Sleep quality (deep + REM hours):

sql

SELECT DATE(start_date) as night,
       ROUND(SUM(duration_minutes)/60.0, 1) as quality_hours
FROM sleep_sessions
WHERE sleep_stage IN ('Deep', 'REM')
GROUP BY night ORDER BY night DESC LIMIT 14;

Workout summary:

sql

SELECT REPLACE(workout_type, 'HKWorkoutActivityType', '') as type,
       COUNT(*) as count, ROUND(SUM(duration_minutes)) as total_min
FROM workouts
WHERE start_date >= DATE('now', '-30 days')
GROUP BY type ORDER BY count DESC;

Show full SKILL.md (146 more words)Show less

Record Types Available

The database contains 43 health metric types including:

Vitals: Heart Rate, HRV, Resting HR, Blood Oxygen, Respiratory Rate, Blood Pressure

Activity: Steps, Distance, Active Calories, Basal Calories, Flights Climbed, Exercise Time, Stand Time

Mobility: Walking Speed, Step Length, Walking Asymmetry, Stair Speed, Walking Steadiness

Body: Weight, BMI, Body Fat %

Audio: Environmental Noise, Headphone Exposure

Other: VO2 Max, Time in Daylight, UV Exposure

Data Coverage

Records: 6.3M+ measurements
Date range: 2015-10-13 to present
Workouts: 1,435 sessions
Sleep sessions: 40,514 records
Activity days: 1,875 daily summaries

Resources

scripts/

health_query.py - Main query tool with Markdown/JSON/FHIR output

references/

schema.md - Database schema, record type mappings, SQL query templates
fhir_mappings.md - LOINC codes and FHIR R4 templates

Troubleshooting

Database not found: Ensure ~/data/health.db exists. Run the import script from /Users/server/apple_health_export/:

bash

python import_health.py --status

No data for date range: Check available date range:

sql

SELECT MIN(start_date), MAX(start_date) FROM health_records;

Outlier values: Filter physiologically valid ranges (e.g., heart rate 40-200 bpm):

sql

WHERE value BETWEEN 40 AND 200

Files

SKILL.md and 4 other files (scripts, references) in health-data of glebis/claude-skills.

SKILL.md
.claude-plugin/plugin.json
references/fhir_mappings.md
references/schema.md
scripts/health_query.py

Open the folder on GitHubat commit 3b88261

Compare with similar skills

Health Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Health Data compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Health Data this skillglebis/claude-skills	391	—	~1.7k	Automated safety check: Pass	MIT	2 days ago
Coachfelixrieseberg/claude-coach	199	1 repos	~4.9k	Automated safety check: Pass	MIT	5 days ago
Pp Nutritionmvanhorn/printing-press-library	2.1k	—	~3.9k	Automated safety check: Notes	Apache-2.0	yesterday
Wahoo CloudLeoYeAI/openclaw-master-skills	2.2k	—	~1.9k	Automated safety check: Pass	MIT	2 mo ago
Pp Intervals Icumvanhorn/printing-press-library	2.1k	—	~3k	Automated safety check: Notes	Apache-2.0	yesterday
SQL Database Support for pRESTprest/prest	4.6k	—	~1.6k	Automated safety check: Pass	MIT	yesterday

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Works with

Questions about Health Data

What does Health Data do?

Query Apple Health SQLite database for vitals, activity, sleep, and workouts. Health Data is an agent skill from glebis/claude-skills. Query Apple Health SQLite database for vitals, activity, sleep, and workouts.

When should I use Health Data?

Health Data fits situations like: tasks that involve Health and fitness tracking; tasks that involve Clinical and healthcare research.

How do I install Health Data in Claude Code?

Run `npx skills add glebis/claude-skills --skill health-data -a claude-code`. Or copy the skill folder (health-data in glebis/claude-skills) into .claude/skills/health-data in your project. Claude Code loads it when a task matches its description.

How do I install Health Data in Codex?

Run `npx skills add glebis/claude-skills --skill health-data -a codex`. Or copy the skill folder (health-data in glebis/claude-skills) into .agents/skills/health-data in your project. Codex loads it when a task matches its description.

Can I use Health Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add glebis/claude-skills --skill health-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/health-data, .gemini/skills/health-data, .github/skills/health-data and .opencode/skills/health-data in your project.

What does Health Data need to run?

Going by SKILL.md and its folder, Health Data needs Python for the scripts in its folder and the command-line tools its instructions call (python and sqlite3). Our summary lists: Python 3.

Does Health Data access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Health Data safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Health Data use?

Health Data is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Health Data use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.4k tokens, read only when the agent opens those files.

What are the alternatives to Health Data?

Skills that share tags, products or a category with Health Data: Coach (felixrieseberg/claude-coach, 199 stars), Pp Nutrition (mvanhorn/printing-press-library, 2.1k stars), Wahoo Cloud (LeoYeAI/openclaw-master-skills, 2.2k stars) and Pp Intervals Icu (mvanhorn/printing-press-library, 2.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Health Data?

glebis (a GitHub user) maintains it in glebis/claude-skills, which has 391 GitHub stars. The repository holds 92 skills in this directory. The repository was last updated on October 8, 2026.

Source: glebis/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Health Data

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Apple Health Data Query Skill

Database Location

Query Methods

1. Python Script (Recommended for Common Queries)

2. Direct SQL (For Custom/Ad-hoc Queries)

Pre-built Queries

Daily Health Summary

Weekly Trends

Sleep Analysis

Latest Vitals

Activity Rings

Workout History

Output Formats

Markdown (default)

JSON

FHIR R4

ASCII

Common SQL Patterns

Record Types Available

Data Coverage

Resources

scripts/

references/

Troubleshooting

Files

Compare with similar skills

Similar skills

More from glebis/claude-skills

Related

Questions about Health Data