Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add glebis/claude-skills/plugin install health-dataWrote 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/glebis/claude-skills/health-data)<a href="https://agentmods.dev/skills/glebis/claude-skills/health-data"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/health-data/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/glebis/claude-skills/health-data"><img src="https://agentmods.dev/badge/skills/glebis/claude-skills/health-data.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00062 | $0.01716 |
| Opus 5 | $0.00031 | $0.00858 |
| Sonnet 5 | $0.00012 | $0.00343 |
| Haiku 4.5 | $0.00006 | $0.00172 |
Grade A, and why
health-data 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 7d 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 — 250 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Health Data Query Skill
Query and analyze health data from the local SQLite database containing 6.3M+ records across 43 health metrics.
Database Location
~/data/health.db
Query Methods
1. Python Script (Recommended for Common Queries)
Use scripts/health_query.py for pre-built queries with automatic formatting:
# Daily summary
python ~/.claude/skills/health-data/scripts/health_query.py --format markdown daily --date 2025-11-29
# Weekly trends
python ~/.claude/skills/health-data/scripts/health_query.py --format json weekly --weeks 4
# Sleep analysis
python ~/.claude/skills/health-data/scripts/health_query.py --format fhir sleep --days 7
# Latest vitals
python ~/.claude/skills/health-data/scripts/health_query.py vitals
# Activity rings
python ~/.claude/skills/health-data/scripts/health_query.py --format json activity --days 30
# Workout history
python ~/.claude/skills/health-data/scripts/health_query.py workouts --days 30 --type Running
# Custom SQL
python ~/.claude/skills/health-data/scripts/health_query.py --format json query "SELECT * FROM workouts LIMIT 5"
Output formats: markdown, json, fhir, ascii
2. Direct SQL (For Custom/Ad-hoc Queries)
For flexible queries, run SQL directly against the database. See references/schema.md for table structures and query templates.
sqlite3 ~/data/health.db "SELECT AVG(value) FROM health_records WHERE record_type LIKE '%HeartRate%' AND start_date LIKE '2025-11%'"
Pre-built Queries
Daily Health Summary
Get today's key metrics:
python ~/.claude/skills/health-data/scripts/health_query.py daily
Returns: steps, calories, heart rate (avg/min/max), exercise minutes, distance, activity ring status.
Weekly Trends
Compare week-over-week performance:
python ~/.claude/skills/health-data/scripts/health_query.py weekly --weeks 4
Returns: average daily steps, resting HR, exercise minutes, workout count per week.
Sleep Analysis
What ships with it
4 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.
- 7d ago First seen · 250 lines · 62 tokens per session scan A e8912b59ad36
health-data is a skill published in the GitHub repository glebis/claude-skills (374 stars, last pushed 9d ago), licensed MIT. It adds 62 tokens to every session and 1,716 once invoked, about $0.0003 per session on Opus 5. 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 2026-09-03.
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