Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/OpenMinis/MinisSkillsnpx agentmods add skills/openminis/minisskills/health-sleep-analysisWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/openminis/minisskills/health-sleep-analysis)<a href="https://agentmods.dev/skills/openminis/minisskills/health-sleep-analysis"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/health-sleep-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/openminis/minisskills/health-sleep-analysis"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/health-sleep-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.03139 |
| Opus 5 | $0.00000 | $0.01570 |
| Sonnet 5 | $0.00000 | $0.00628 |
| Haiku 4.5 | $0.00000 | $0.00314 |
Grade A, and why
health-sleep-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 299 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
--langargument to the rendering scripts; the scripts will localize all on-chart text automaticallySupported
--langvalues:zh(Chinese, default),en(English),ja(Japanese) If the user writes in another language, fall back toenfor chart text and reply in their language.
Pre-built Scripts (call directly, no rewriting needed)
| Script | Purpose |
|---|---|
sleep_report_data.py |
Extract 7-day report JSON from raw HealthKit data |
sleep_report_librsvg.py |
Render 7-day weekly report card -> SVG + PNG via rsvg-convert |
sleep_month_trend_librsvg.py |
Render 30-day monthly trend -> SVG + PNG via rsvg-convert |
sleep_halfyear.py |
Long-term trend (30+ days), matplotlib charts |
cardiac_analysis.py |
Cardiac health: RHR, HRV, SpO2, max HR |
Quick Start
Step 1 - Install dependencies
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)
# 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.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 299 lines · 0 tokens per session scan A 7653e18d71cf
health-sleep-analysis is a skill published in the GitHub repository OpenMinis/MinisSkills (409 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,139 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…