health-data

Low signal level, contained permissions, and limited attack surface.

85/100

1medium

Recommendations

🌐 Outbound network calls — verify the URLs being contacted.

Detected Risks1

Network Callmedium

network_call

Outbound network call

Line 998

Snippets

L998 row = cursor.fetchone()

L1008 row = cursor.fetchone()

L1019 row = cursor.fetchone()

L1032 row = cursor.fetchone()

L1042 row = cursor.fetchone()

Voir les risques detectes

Connectez-vous pour consulter l'analyse detaillee des risques.

$npx agentfend install cmn92t8tl0115u1ip3j5oh1ex

Trust Score

80trust

⭐ 68🍴 14

Updated 3 weeks ago

Analyzed

Mar 31, 2026, 3:57 PM

+ 2 previous scans

Compatible with

Cursor

Skill details

Trust score

80/100

GitHub

Connected

Stars

Forks

Updated 3 weeks ago

Analyzed Mar 31, 2026, 3:57 PM

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.

View Source

Recent scans

Mar 31, 2026, 3:57 PM

Latest analysis

Mar 31, 2026, 3:12 PM

Run 2

Mar 27, 2026, 3:48 PM

Run 1