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.
curl -O https://raw.githubusercontent.com/jessedc/apple-voice-memos/main/CLAUDE.mdgit clone --depth 1 https://github.com/jessedc/apple-voice-memosWrote 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/jessedc/apple-voice-memos/claude-md)<a href="https://agentmods.dev/instructions/jessedc/apple-voice-memos/claude-md"><img src="https://agentmods.dev/badge/instructions/jessedc/apple-voice-memos/claude-md.svg" alt="Measured on agentmods" 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 | $0.00572 | $0.00572 |
| Opus 5 | $0.00286 | $0.00286 |
| Sonnet 5 | $0.00114 | $0.00114 |
| Haiku 4.5 | $0.00057 | $0.00057 |
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.
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 generationapple-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 proprietarytsrpatom 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,
ZENCRYPTEDTITLEandZENCRYPTEDNAMEcontain plaintext
- Core Data backed (note
- Audio files: .m4a files in the same Recordings directory
- Transcripts stored in proprietary
tsrpatom within the m4a container - Not all recordings have transcripts (generated on-device by Apple)
- Transcripts stored in proprietary
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"
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.
- 8d ago First seen · 46 lines · 572 tokens per session scan A 40fe6473aa76
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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