Borrowing it
Nothing to install: this file belongs to burakdirin/apple-health-export-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/burakdirin/apple-health-export-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/burakdirin/apple-health-export-mcpWrote 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/instructions/burakdirin/apple-health-export-mcp/claude-md)<a href="https://agentmods.dev/instructions/burakdirin/apple-health-export-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/burakdirin/apple-health-export-mcp/claude-md/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/instructions/burakdirin/apple-health-export-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/burakdirin/apple-health-export-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.01300 | $0.01300 |
| Opus 5.5 | $0.00520 | $0.00520 |
| Sonnet 5.5 | $0.00260 | $0.00260 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
apple-health-export-mcp CLAUDE.md 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 2mo 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What this is
A FastMCP (v3) stdio MCP server that answers questions about a user's exported Apple Health archive. Apple has no live API, so the flow is two-stage and snapshot-based:
export.zip ──(ingest CLI, one-time)──► SQLite (health.db) ──◄── MCP server tools query it
The design rationale lives in docs/adr.md (10 ADRs). Read it before changing how data is parsed, stored, or aggregated, and add an ADR entry for such changes — the reasoning there is load-bearing and not re-derivable from the diff.
Commands
uv sync # set up the env
uv run pytest # all tests
uv run pytest tests/test_queries.py::test_sum_dedupes_parallel_sources_by_dominant_per_day # single test
uv run ruff check # lint (CI gate)
uv run ruff format # format (CI checks --check)
uv run fastmcp inspect # list registered tools/prompts without a client
uv build # sdist+wheel; uvx twine check dist/* before publishing
# Run the pieces directly:
apple-health-export-mcp-ingest <export.zip> # build the DB (AH_DB_PATH or --db controls location)
apple-health-export-mcp # run the stdio server (reads the DB)
Architecture
Layering is deliberate — keep it:
queries.py— pure SQL helpers + the typed result dataclasses (TypeInfo,QuantityPoint,SleepNight, …), no FastMCP import. All query logic and the unit tests live here so it stays testable without a server.tools.py— the MCP tool surface: thin wrappers overqueries.py, the_store()context manager (DB open/close +ValueError/missing-DB →ToolError), and the reusableAnnotated[..., Field(...)]argument types. Plain (un-decorated) functions exported viaALL.prompts.py— coaching prompt content as plain functions exported viaALL.server.py— wiring only: creates themcpinstance, registerstools.ALL(mcp.tool(annotations=READONLY)) andprompts.ALL(mcp.prompt), and holdsmain()+ shutdown.tools.py/prompts.pystay decorator-free so they never import themcpinstance (no circular import); returning typed models lets FastMCP emit an output schema per tool.ingest.py— streamingiterparseof the export XML into SQLite; the one-time builder.db.py— schema +connect()+db_path()(env/XDG resolution).cli.py— theapple-health-export-mcp-ingestentry point.
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.
- 2mo ago First seen · 62 lines · 1,300 tokens per session scan A 7a16ec65cafe
apple-health-export-mcp CLAUDE.md is an instructions file published in the GitHub repository burakdirin/apple-health-export-mcp (0 stars, last pushed 4mo ago), licensed MIT. It adds 1,300 tokens to every session, about $0.0052 per session on Opus 5.5. 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.
apple-health-export-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| apple-health-export-mcp CLAUDE.mdburakdirin/apple-health-export-mcp | Instructions file | 0 | 4mo ago | MIT | A | 1,300 | Claude Code |
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| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |