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Clinical-grade deep analysis of Apple Health export data. Parses the XML from iPhone's Health app export and produces a comprehensive clinical-quality health assessment report using 20+ peer-reviewed statistical methods including Granger Causality, Transfer Entropy, Convergent Cross Mapping, Sample Entropy, DFA, Cosinor analysis, Kovatchev glucose risk indices, Bayesian change-point detection, and biological age estimation. Use this skill whenever the user mentions Apple Health data, health export, health XML, CGM data, wants to analyze their fitness/sleep/heart rate/glucose/weight trends, or has an `apple_health_export` directory in their project. Also trigger when the user asks about health data analysis, wearable data analysis, or wants insights from their Apple Watch or iPhone health data. Even if they just say "analyze my health" or "look at my health data" and there's an Apple Health export nearby, use this skill. Trigger on Chinese equivalents too: "分析健康数据", "健康报告", "Apple Watch 数据".
Claude Skills are markdown + scripts loaded into Claude Code; scanned with the same pipeline.
We found this by crawling public sources and nobody has attested to it. That is how most of the registry gets here, and it is not a mark against the artifact — it only means no authenticated act of publication is on record. An artifact can be the vendor's own and still appear here.
Claude Skills install to a single target, no runtime picker.
nerlo install -- labrinyang/apple-health-analysis
Manual alternative: copy the skill folder into ~/.claude/skills/ so Claude Code loads it on next launch.
cp -r -- labrinyang/apple-health-analysis ~/.claude/skills/
Install respects the composite badge: Clean proceeds, Caution prompts for confirmation, and Flagged is refused. Write operations require an API token.
5 of 11 scanners examined this package. The rest do not apply to it — language, ecosystem and packaging decide which analyzers can say anything, and a scanner that cannot examine an artifact reports nothing rather than passing it.
v1.4.0
0 findings · 0.6s
v2.0.11
17 findings · 9.1s
v0.3.74
3 findings · 5.5s
v0.1.0
0 findings · 4.0s
v0.1.0
0 findings · 4.0s
vv0.3.2
No Go packages were found in this artifact. What each scanner covers
0 findings · 0.1s
v0.1.0
This scanner found nothing in this artifact that it assesses. What each scanner covers
0 findings · 1.1s
v0.71.0
No dependency manifest or lockfile was found in this artifact. What each scanner covers
0 findings · 0.5s
v2.3.8
No dependency manifest or lockfile was found in this artifact. What each scanner covers
0 findings · 0.2s
v0.71.0
No container image was published for this artifact. What each scanner covers
0 findings · 0.0s
vv1.6.0
No Go modules were found in this artifact. What each scanner covers
0 findings · 0.1s
1 scan on record. Every scan's full results are retained immutably for 24 months.
| Completed | Composite | Change | Scanners | Status |
|---|---|---|---|---|
| Aug 18, 2026 | Caution91 | — | agentshield: completecisco-skill-scanner: completeagent-audit-kit: completenerlo-behavioral: completenerlo-install-instruction: completecapslock ·n/a: not applicablenerlo-multi-source ·n/a: not applicabletrivy ·n/a: not applicableosv-scanner ·n/a: not applicabletrivy_image ·n/a: not applicablegovulncheck ·n/a: not applicable | completed |
Findings in files this artifact installs stand as reported; a model re-read the rest and said which ones it believes are false positives. This is a second opinion published beside the evidence, not a correction to it: the per-scanner reports above are unchanged, every dismissed finding is still listed there at its original severity, and the score and the Caution badge are computed from those raw severities alone. Nothing below moved them.
This review has not run for this scan yet. It runs once per scan, in the background, and is kept; it appears here when it has. Until then all 20 findings above stand exactly as their scanners reported them, at full severity.