ingest-health

ingest-health is a skill for Claude Code, Codex from mycelium-hq/ai-brain-starter. It costs 107 tokens per session (1,469 once invoked), scanned A, original, MIT.

A connector that imports Apple Health data from an iPhone or Apple Watch into a local DuckDB database. Apple Health is Apple's app and data store for health and fitness measurements.

In plain words
What is it for?
Use it with an Apple Health export, Simple Health Export CSV files, or a live Health Auto Export feed to load the data for later analysis.
Why use it?
Other health tools cannot use Apple Health measurements until the data has been imported. This provides the stored data needed for health queries and coaching features.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: reads .claude/ paths.

Part of the ai-brain-starter plugin — 38 skills, 17 commands, 3 agents, 1 hook shipped together

Good fit Use it with an Apple Health export, Simple Health Export CSV files, or a live Health Auto Export feed to load the data for later analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mycelium-hq/ai-brain-starter/ingest-health
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mycelium-hq/ai-brain-starter --skill ingest-health
Clone the repo
git clone --depth 1 https://github.com/mycelium-hq/ai-brain-starter

Made for: Claude Code, Codex.

Or install ai-brain-starter, the plugin that ships this one along with the rest of its 38 skills, 17 commands, 3 agents, 1 hook.

Wrote 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.

agentmods badge for ingest-health

README.md
[![agentmods](https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/ingest-health/github.svg)](https://agentmods.dev/skills/mycelium-hq/ai-brain-starter/ingest-health)
Your own site
<a href="https://agentmods.dev/skills/mycelium-hq/ai-brain-starter/ingest-health"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/ingest-health/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.

agentmods 80×15 button for ingest-health

Your own site · 80×15
<a href="https://agentmods.dev/skills/mycelium-hq/ai-brain-starter/ingest-health"><img src="https://agentmods.dev/badge/skills/mycelium-hq/ai-brain-starter/ingest-health.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,469 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00107 $0.01469
Opus 5 $0.00053 $0.00734
Sonnet 5 $0.00021 $0.00294
Haiku 4.5 $0.00011 $0.00147

Measured 11d ago against content hash 3f78ed7fad53, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ingest-health 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.

The scan reads SKILL.md. This mod also ships 1 executable file (ingest.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/ingest-health/SKILL.md · 119 lines

How it starts

The opening of the file, as written. The whole thing — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ingest-health, Apple Health to DuckDB connector

Loads Apple Health data into ~/.claude/health-mcp/health.duckdb so the rest of the substrate (daily-journal, coaching, advisory-panel, patterns, insights) can read biometrics through health-mcp tools.

This is one of the substrate's ingestion connectors (slack, gmail, linear, github, notion, whatsapp, health). Each owns a single source.

When to use

  • User says /ingest-health (with or without --mode xml|csv|tcp and a path)
  • User asks to import, sync, capture, ingest, or pull Apple Health data
  • User wants to set up the health connector for the first time
  • After a fresh Apple Health export from iPhone (mode A) or after refreshing the Simple Health Export folder (mode B)

Do NOT use for:

  • Querying existing health data (use health-mcp's health_query, health_metric_series, health_recovery_score, etc.)
  • Writing to the vault (this skill is read-only with respect to the vault)
  • Non-Apple-Health sources (Garmin / Whoop / Oura get different connectors; for multi-wearable see the open-wearables project)

Privacy notes

Apple Health data is among the most sensitive content the user owns. Read this before running:

  1. Storage stays local. The DuckDB file lives at ~/.claude/health-mcp/health.duckdb. Treat it as a medical record.
  2. Export files are sensitive too. Apple's export.zip contains every metric ever recorded on the device. Don't commit it to git, don't sync it through cloud storage you don't trust, and delete the staging copy after import if you don't need to re-import.
  3. Live mode is local Wi-Fi only. The Health Auto Export TCP server is unauthenticated. Run it only on a trusted network.
  4. The MCP never writes the vault. This skill imports into DuckDB. Vault-aware tools READ frontmatter; they never write.

If any of these is unclear, do not run the skill. Ask first.

How it works

Three modes. Pick by argument or ask the user.

Mode A: XML export.zip (default; free, manual, universal)

Read the full file on GitHub · 119 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 11d ago First seen · 119 lines · 107 tokens per session scan A 3f78ed7fad53

Subscribe to this mod's changes

ingest-health is a skill published in the GitHub repository mycelium-hq/ai-brain-starter (36 stars, last pushed yesterday), licensed MIT. It adds 107 tokens to every session and 1,469 once invoked, about $0.0005 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 2026-08-31.

Related

Other skills, from other repositories