apple-voice-memos: Instructions file for Claude Code

CLAUDE.md

apple-voice-memos CLAUDE.md is an instructions file for Claude Code from jessedc/apple-voice-memos. It costs 572 tokens per session, scanned A, original, 0BSD.

A workflow for accessing Apple Voice Memos synced through iCloud on macOS, extracting their transcripts, and turning them into structured notes.

In plain words
What is it for?
Use it to find memos by title or date, retrieve their metadata and transcripts, and process the spoken content into organised notes.
Why use it?
It explains where the recordings and metadata are stored and how to select recordings and extract their embedded transcripts.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

This is jessedc/apple-voice-memos's own configuration. It tells Claude Code how to work on apple-voice-memos itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything apple-voice-memos configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jessedc/apple-voice-memos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jessedc/apple-voice-memos/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/jessedc/apple-voice-memos

Made for: Claude Code.

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README.md
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Per session 572 This file is loaded in full into every session.
When invoked 572 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00572 $0.00572
Opus 5 $0.00286 $0.00286
Sonnet 5 $0.00114 $0.00114
Haiku 4.5 $0.00057 $0.00057

Measured 8d ago against content hash 40fe6473aa76, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

apple-voice-memos 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 8d 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.

CLAUDE.md · 46 lines

How it starts

The opening of the file, as written. The whole thing — 46 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.

Project Overview

This is a Claude skill that provides access to Apple Voice Memos synced via iCloud on macOS. The skill walks the user through selecting a memo, extracting its transcript, and processing it into structured notes.

Architecture

The project consists of:

  • apple-voice-memos/SKILL.md — Skill definition with 3-step workflow (select, extract, process)
  • apple-voice-memos/PROMPT.md — Processing prompt sent to a subagent with the transcript for structured note generation
  • apple-voice-memos/scripts/extract-apple-voice-memos-metadata — Queries the CloudRecordings.db SQLite database with optional filtering (title search, date range, pagination, count-only mode)
  • apple-voice-memos/scripts/extract-apple-voice-memos-transcript — Extracts embedded transcripts from .m4a files using the proprietary tsrp atom format

Key Technical Details

Data Sources

  • CloudRecordings.db: SQLite database at ~/Library/Group Containers/group.com.apple.VoiceMemos.shared/Recordings/CloudRecordings.db
    • Core Data backed (note Z_ prefixed columns)
    • Dates stored as Core Data epoch (seconds since 2001-01-01, add 978307200 for Unix epoch)
    • Despite column names, ZENCRYPTEDTITLE and ZENCRYPTEDNAME contain plaintext
  • Audio files: .m4a files in the same Recordings directory
    • Transcripts stored in proprietary tsrp atom within the m4a container
    • Not all recordings have transcripts (generated on-device by Apple)

Commands

This is a Claude skill project, not a traditional development project. There are no build, test, or lint commands. The Python scripts are standalone executables that require only Python 3 standard library.

To test the scripts locally:

# List recent recordings (metadata)
python3 apple-voice-memos/scripts/extract-apple-voice-memos-metadata

# Extract transcript from a specific file
python3 apple-voice-memos/scripts/extract-apple-voice-memos-transcript "<FILENAME>.m4a"

Read the full file on GitHub · 46 lines

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. 8d ago First seen · 46 lines · 572 tokens per session scan A 40fe6473aa76

Subscribe to this mod's changes

apple-voice-memos CLAUDE.md is an instructions file published in the GitHub repository jessedc/apple-voice-memos (18 stars, last pushed 1mo ago), licensed 0BSD. It adds 572 tokens to every session, about $0.0029 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 2026-08-30.

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