apple-health-analyst: Privacy-conscious Apple Health export analyzer with bilingual health and multi-sport training reports

by RuochenLyu · Agent Tool · ★ 59

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install apple-health-analyst

npx skills add RuochenLyu/apple-health-analyst

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsapple-healthapple-watchclaude-codeclihealth-reporthealthkitquantified-selfskill

Quick Facts

Stars59
Forks3
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score69/100
Open Issues1
Last Updated2026-08-12
Created2026-03-27
Platformsclaude-code, cli, node
Est. Tokens~15k

About apple-health-analyst

apple-health-analyst 中文文档 Analyze Apple Health export data locally, generating either a health report or a training report with cross-metric reasoning, long-term trends, and offline HTML output. Not a data dashboard — you can already see the data on your phone.

Compatible Skills

These tools work well together with apple-health-analyst for enhanced workflows:

  • aelf-skills — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)
  • swiftui-skills — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Agent Tool tools