Agent skill

Health Sleep Analysis

by OpenMinis in OpenMinis/MinisSkills

Analyze sleep health data from Apple HealthKit, including sleep stages (Deep/REM/Core/Awake), blood oxygen saturation (SpO2) during sleep, sleep duration trends, bedtime patterns, resting heart…

MITAuto-check passedProductivity & Automation

Install Health Sleep Analysis

skills CLI
$ npx skills add OpenMinis/MinisSkills --skill health-sleep-analysis -a claude-code

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

GitHub CLI
$ gh skill install OpenMinis/MinisSkills health-sleep-analysis --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/OpenMinis/MinisSkills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/health-sleep-analysis .claude/skills/health-sleep-analysis && 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/

Facts

Skill name
health-sleep-analysis
GitHub stars
446
Token cost
~2.8k tokens
SKILL.md length
799 words
Files
6
Skills in repo
49
Repo updated
First seen
Licence
MIT

At a glance

Analyze sleep health data from Apple HealthKit, including sleep stages (Deep/REM/Core/Awake), blood oxygen saturation (SpO2) during sleep, sleep duration trends, bedtime patterns, resting heart…

  • Works in 4 steps: Install dependencies → Fetch data (write to /tmp to avoid… → Run the appropriate script → …
  • The user asks about sleep quality
  • SKILL.md covers Language Rules (IMPORTANT), Pre-built Scripts (call…, Quick Start and Localization Reference, plus 4 more sections
  • Runs Python scripts from its folder; calls python3 and apk

What it does

Health Sleep Analysis is an agent skill from OpenMinis/MinisSkills. Analyze sleep health data from Apple HealthKit, including sleep stages (Deep/REM/Core/Awake), blood oxygen saturation (SpO2) during sleep, sleep duration trends, bedtime patterns, resting heart rate, and HRV. Use this skill whenever the user asks about sleep quality, sleep analysis, blood oxygen during sleep, sleep stages breakdown, sleep trends over time, heart rate, HRV, or any health data analysis involving sleep or cardiac health. Triggers on: "sleep analysis", "blood oxygen", "sleep quality", "deep sleep"…

Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `sleep_halfyear.py`, `sleep_longterm_librsvg.py` and `sleep_month_trend_librsvg.py`).

It sits in Productivity & Automation, covering Health and fitness tracking. The repository describes itself as: Skills collection for Minis. The licence is MIT.

When your agent uses it

  • The user asks about sleep quality
  • Blood oxygen during sleep
  • Sleep stages breakdown
  • Sleep trends over time

Example prompts

  • “sleep analysis”
  • “blood oxygen”
  • “sleep quality”
  • “/health-sleep-analysis”

Requirements

  • Python 3

Workflow steps

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

  1. Install dependencies
  2. Fetch data (write to /tmp to avoid workspace sync delay)
  3. Run the appropriate script
  4. Copy output and display

What it can do on your machine

Read from SKILL.md and the folder at commit ae8c5db. 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 script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3
    • apk

    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 Sleep Analysis loads about 2.8k tokens when it runs. Until then it costs about 184 tokens; SKILL.md has 799 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~184
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from OpenMinis/MinisSkills at commit ae8c5db, republished under its MIT licence (© OpenMinis). 799 words, ~2,823 tokens.

Download SKILL.mdSave it as .claude/skills/health-sleep-analysis/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
health-sleep-analysis
description
Analyze sleep health data from Apple HealthKit, including sleep stages (Deep/REM/Core/Awake), blood oxygen saturation (SpO2) during sleep, sleep duration trends, bedtime patterns, resting heart rate, and HRV. Use this skill whenever the user asks about sleep quality, sleep analysis, blood oxygen during sleep, sleep stages breakdown, sleep trends over time, heart rate, HRV, or any health data analysis involving sleep or cardiac health. Triggers on: "sleep analysis", "blood oxygen", "sleep quality", "deep sleep", "REM sleep", "resting heart rate", "HRV", "heart health", "sleep analysis", "sleep quality", "blood oxygen", "deep sleep", "resting heart rate", "heart rate variability" and similar in any language.

Sleep Health Analysis Skill

Fetch sleep, SpO2, heart rate, and HRV data from Apple HealthKit, analyze it, and produce visual reports.

Language Rules (IMPORTANT)

Detect the language of the user's message and apply it consistently throughout the entire response:

  • Written analysis, conclusions, health advice -> user's language
  • Chart/image text labels, titles, axes, legend, insight cards, footer -> user's language
  • Code, script internals, variable names -> English (always)
  • When rendering SVG charts: pass a --lang argument to the rendering scripts; the scripts will localize all on-chart text automatically

Supported --lang values: zh (Chinese, default), en (English), ja (Japanese) If the user writes in another language, fall back to en for chart text and reply in their language.


Pre-built Scripts (call directly, no rewriting needed)

ScriptPurpose
sleep_report_data.pyExtract 7-day report JSON from raw HealthKit data
sleep_report_librsvg.pyRender 7-day weekly report card -> SVG + PNG via rsvg-convert
sleep_month_trend_librsvg.pyRender 30-day monthly trend -> SVG + PNG via rsvg-convert
sleep_halfyear.pyLong-term trend (30+ days), matplotlib charts
cardiac_analysis.pyCardiac health: RHR, HRV, SpO2, max HR

Quick Start

Step 1 - Install dependencies
bash
apk add rsvg-convert font-noto-cjk -q
python3 -c "import matplotlib, numpy" 2>/dev/null || apk add py3-matplotlib py3-numpy -q
Step 2 - Fetch data (write to /tmp to avoid workspace sync delay)
bash
# 7-day weekly report
apple-healthkit sleep --days 8 --compact -q > /tmp/sleep_raw.json
apple-healthkit blood-oxygen --days 8 --limit 2000 --compact -q > /tmp/spo2_raw.json

# 30-day monthly trend
apple-healthkit sleep --days 31 --compact -q > /tmp/sleep_raw.json
apple-healthkit blood-oxygen --days 31 --limit 5000 --compact -q > /tmp/spo2_raw.json

Important: Always write raw data to /tmp/ first, not /var/minis/workspace/. The workspace directory has an iSH to iOS sync delay that causes stale reads. Copy to the workspace only after scripts finish.

Step 3 - Run the appropriate script
bash
# ── 7-day weekly report card ──────────────────────────────────
python3 /var/minis/skills/health-sleep-analysis/sleep_report_data.py \
    --sleep /tmp/sleep_raw.json --spo2 /tmp/spo2_raw.json \
    --out /tmp/sleep_report_7d.json

python3 /var/minis/skills/health-sleep-analysis/sleep_report_librsvg.py \
    --data /tmp/sleep_report_7d.json \
    --out-prefix /tmp/sleep_report_7d \
    --lang zh                          # zh | en | ja

# ── 30-day monthly trend ──────────────────────────────────────
python3 /var/minis/skills/health-sleep-analysis/sleep_month_trend_librsvg.py \
    --days 30 \
    --sleep /tmp/sleep_raw.json --spo2 /tmp/spo2_raw.json \
    --out-prefix /tmp/sleep_month_trend \
    --lang zh                          # zh | en | ja

# ── Half-year trend (26 weeks, weekly aggregation) ────────────
apple-healthkit sleep --days 186 --compact -q > /tmp/sleep_raw.json
apple-healthkit blood-oxygen --days 186 --limit 10000 --compact -q > /tmp/spo2_raw.json
python3 /var/minis/skills/health-sleep-analysis/sleep_longterm_librsvg.py \
    --period halfyear \
    --sleep /tmp/sleep_raw.json --spo2 /tmp/spo2_raw.json \
    --out-prefix /tmp/sleep_halfyear \
    --lang zh                          # zh | en | ja

# ── Full-year trend (12 months, monthly aggregation) ──────────
apple-healthkit sleep --days 366 --compact -q > /tmp/sleep_raw.json
apple-healthkit blood-oxygen --days 366 --limit 10000 --compact -q > /tmp/spo2_raw.json
python3 /var/minis/skills/health-sleep-analysis/sleep_longterm_librsvg.py \
    --period year \
    --sleep /tmp/sleep_raw.json --spo2 /tmp/spo2_raw.json \
    --out-prefix /tmp/sleep_year \
    --lang zh

# ── Long-term trend (matplotlib, 30+ days) ───────────────────
DAYS=185
cd /var/minis/workspace
apple-healthkit sleep --days $((DAYS+1)) --compact -q > sleep_raw.json
apple-healthkit blood-oxygen --days $((DAYS+1)) --limit 10000 --compact -q > spo2_raw.json
python3 /var/minis/skills/health-sleep-analysis/sleep_halfyear.py
# Output: sleep_halfyear.png (current directory)

# ── Cardiac health ────────────────────────────────────────────
apple-healthkit heart-rate --days 30 --limit 5000 --compact -q > /tmp/hr_raw.json
apple-healthkit hrv --days 30 --limit 500 --compact -q > /tmp/hrv_raw.json
python3 /var/minis/skills/health-sleep-analysis/cardiac_analysis.py
Step 4 - Copy output and display
bash
cp /tmp/sleep_report_7d.png /var/minis/workspace/sleep_report_7d.png
cp /tmp/sleep_month_trend.png /var/minis/workspace/sleep_month_trend.png

Display in chat with Markdown inline images. Follow up with a written analysis in the user's language.


Localization Reference

When rendering SVG charts, scripts accept --lang <code>. The following strings must be translated for each language:

Keyzhenja
report_title_7dWeekly Sleep ReportWeekly Sleep ReportWeekly Sleep Report
report_title_30dMonthly Sleep TrendMonthly Sleep TrendMonthly Sleep Trend
subtitle_suffixnights recordednights recordednights recorded
avg_sleepAvg SleepAvg SleepAvg Sleep
good_daysGoal DaysGoal DaysGoal Days
deep_avgAvg DeepAvg DeepAvg Deep
min_spo2Min SpO2Min SpO2Min SpO2
stage_trendSleep Stage TrendSleep Stage TrendSleep Stage Trend
key_insightsKey InsightsKey InsightsKey Insights
daily_detailDaily DetailDaily DetailDaily Detail
deepDeepDeepDeep
coreCoreCoreCore
awakeAwakeAwakeAwake
bedtimeBedtimeBedtimeBedtime
min_o2Min O2Min O2Min O2
spo2_trend_titleNightly Min SpO2Nightly Min SpO2Nightly Min SpO2
weekly_summaryWeekly SummaryWeekly SummaryWeekly Summary
monthly_conclusionMonthly SummaryMonthly SummaryMonthly Summary
insight_durationIssue: Sleep Too ShortIssue: Sleep Too ShortIssue: Sleep Too Short
insight_bedtimeLate BedtimeLate BedtimeLate Bedtime
insight_spo2SpO2 avg OK, low dips notedSpO2 avg OK, low dips notedSpO2 avg OK, low dips noted
recommend_7hGoal 7hGoal 7hGoal 7h
data_sourceSource: Apple HealthKit · For reference onlySource: Apple HealthKit · For reference onlySource: Apple HealthKit · For reference only
generatedGeneratedGeneratedGenerated
sleep_intelligenceSleep IntelligenceSleep IntelligenceSleep Intelligence

Script Argument Reference

sleep_report_data.py
--sleep   path to sleep_raw.json   (default: /var/minis/workspace/sleep_raw.json)
--spo2    path to spo2_raw.json    (default: /var/minis/workspace/spo2_raw.json)
--out     output JSON path         (default: /var/minis/workspace/sleep_report_7d.json)
sleep_report_librsvg.py
--data        input JSON from sleep_report_data.py
--out-prefix  SVG/PNG output prefix   (default: /var/minis/workspace/sleep_report_7d_librsvg)
--lang        zh | en | ja            (default: zh)
--width       canvas width px         (default: 1280)
--height      canvas height px        (default: 1760)
sleep_month_trend_librsvg.py
--days        number of nights to include  (default: 30)
--sleep       path to sleep_raw.json
--spo2        path to spo2_raw.json
--out-prefix  SVG/PNG output prefix        (default: /var/minis/workspace/sleep_month_trend)
--lang        zh | en | ja                 (default: zh)

Data Processing

Show full SKILL.md (322 more words)Show less
Night attribution rule

Records between 00:00 and 13:59 belong to the previous calendar day (same sleep session):

python
def sleep_date(dt):
    return (dt - timedelta(days=1)).date() if dt.hour < 14 else dt.date()
Sleep stage mapping
HealthKit valueStage
asleepDeepDeep
asleepREMREM
asleepCoreCore (light)
awakeAwake
inBedIn-bed (excluded)
HealthKit JSON field names

Raw samples use start / end, not startDate / endDate. Always check both:

python
ss = s.get('startDate') or s.get('start')
ee = s.get('endDate')   or s.get('end')
Workspace sync delay

Writing large files directly to /var/minis/workspace/ can result in iSH reading a stale cached version. Always:

  1. Write data and outputs to /tmp/
  2. Run scripts with /tmp/ paths
  3. cp final PNGs to /var/minis/workspace/ for display

Health Standards

Sleep duration
RangeRating
≥ 7h✅ Sufficient
6-7h⚠️ Slightly short
< 6h❌ Insufficient (adults need 7-9h)
Sleep stages
StageHealthy %Function
Deep≥ 13%Physical recovery, immunity, memory
REM20-25%Emotion regulation, cognition
Core45-55%Transitional
SpO2
RangeRating
≥ 95%✅ Normal
90-94%⚠️ Low, monitor
< 90%❌ Dangerous, seek medical advice

Frequent drops below 95% (>20% of readings) or any reading below 90% warrants evaluation for obstructive sleep apnea (OSA), especially with snoring, daytime sleepiness, or morning headaches.

Resting Heart Rate (RHR)
RangeRating
< 40 bpm❌ Too low, consult doctor
40-60 bpm✅ Excellent (athlete level)
60-80 bpm✅ Normal
80-100 bpm⚠️ Elevated
> 100 bpm❌ Tachycardia, consult doctor

Estimate RHR from raw heart rate data (lowest 25% of daily readings):

python
vals = sorted(by_day[date])
rhr = mean(vals[:max(1, len(vals)//4)])
HRV (SDNN)
RangeRating
≥ 50 ms✅ Good
30-50 ms⚠️ Fair
< 30 ms❌ Low autonomic function

Common Issues

Q: Only a few SpO2 readings? A: Add --limit, use 2000 for short-term, 10000 for long-term.

Q: Chinese/Japanese characters show as boxes? A: Run apk add font-noto-cjk first.

Q: Missing data for some nights? A: Apple Watch likely not worn; nights with < 1h total are auto-filtered.

Q: Chart still shows stale data after re-running? A: Write outputs to /tmp/ and use --sleep /tmp/... --spo2 /tmp/... arguments. Copy PNG to the workspace only for display.

Q: 30-day chart shows only 6-7 bars? A: The workspace JSON is stale. Fetch fresh data to /tmp/ and pass /tmp/ paths explicitly to the script.

© OpenMinis, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files in health-sleep-analysis of OpenMinis/MinisSkills.

  • SKILL.md
  • sleep_halfyear.py
  • sleep_longterm_librsvg.py
  • sleep_month_trend_librsvg.py
  • sleep_report_data.py
  • sleep_report_librsvg.py

Open the folder on GitHubat commit ae8c5db

Compare with similar skills

Health Sleep Analysis 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.

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Health Sleep Analysis this skillOpenMinis/MinisSkills446—~2.8kAutomated safety check: PassMIT
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Fitness Analyzerhuifer/WellAlly-health9605 repos~1.3kAutomated safety check: PassMIT
Master Ajahn Chahxr843/Master-skill4471 repos~2kAutomated safety check: PassCC-BY-NC-SA-4.0
Mental Health Analyzerhuifer/WellAlly-health9605 repos~3.2kAutomated safety check: PassMIT
Nutrition Analyzerhuifer/WellAlly-health9605 repos~3.3kAutomated safety check: PassMIT

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Questions about Health Sleep Analysis

What does Health Sleep Analysis do?

Analyze sleep health data from Apple HealthKit, including sleep stages (Deep/REM/Core/Awake), blood oxygen saturation (SpO2) during sleep, sleep duration trends, bedtime patterns, resting heart…. Health Sleep Analysis is an agent skill from OpenMinis/MinisSkills. Analyze sleep health data from Apple HealthKit, including sleep stages (Deep/REM/Core/Awake), blood oxygen saturation (SpO2) during sleep, sleep duration trends, bedtime patterns, resting heart rate, and HRV.

When should I use Health Sleep Analysis?

Health Sleep Analysis fits situations like: the user asks about sleep quality; blood oxygen during sleep; sleep stages breakdown; sleep trends over time.

How do I install Health Sleep Analysis in Claude Code?

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

How do I install Health Sleep Analysis in Codex?

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

Can I use Health Sleep Analysis 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 OpenMinis/MinisSkills --skill health-sleep-analysis -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-sleep-analysis, .gemini/skills/health-sleep-analysis, .github/skills/health-sleep-analysis and .opencode/skills/health-sleep-analysis in your project.

What does Health Sleep Analysis need to run?

Going by SKILL.md and its folder, Health Sleep Analysis needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and apk). Our summary lists: Python 3.

Does Health Sleep Analysis 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 Sleep Analysis 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. Review the folder before installing.

What licence does Health Sleep Analysis use?

Health Sleep Analysis 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 Sleep Analysis use?

About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Health Sleep Analysis?

Skills that share tags, products or a category with Health Sleep Analysis: Coach (felixrieseberg/claude-coach, 199 stars), Fitness Analyzer (huifer/WellAlly-health, 960 stars), Master Ajahn Chah (xr843/Master-skill, 447 stars) and Mental Health Analyzer (huifer/WellAlly-health, 960 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Health Sleep Analysis?

OpenMinis (a GitHub organization) maintains it in OpenMinis/MinisSkills, which has 446 GitHub stars. The repository holds 49 skills in this directory. The repository was last updated on October 7, 2026.

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