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.
npx skills add ying-wen/voice-memo-sync --skill voice-memo-syncgit clone --depth 1 https://github.com/ying-wen/voice-memo-syncWrote 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/ying-wen/voice-memo-sync/voice-memo-sync)<a href="https://agentmods.dev/skills/ying-wen/voice-memo-sync/voice-memo-sync"><img src="https://agentmods.dev/badge/skills/ying-wen/voice-memo-sync/voice-memo-sync/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/ying-wen/voice-memo-sync/voice-memo-sync"><img src="https://agentmods.dev/badge/skills/ying-wen/voice-memo-sync/voice-memo-sync.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 | $0.00044 | $0.05607 |
| Opus 5.5 | $0.00018 | $0.02243 |
| Sonnet 5.5 | $0.00009 | $0.01121 |
| Haiku 4.5 | $0.00004 | $0.00561 |
Grade A, and why
voice-memo-sync 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 — 626 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice Memo Sync 🎙️
Intelligent voice/video transcription and organization system.
智能语音/视频转录与整理系统。
Quick Start / 快速开始
# Run installation script / 运行安装脚本
cd ~/.openclaw/workspace/skills/voice-memo-sync
./scripts/install.sh
What it does / 安装内容:
- Creates data directory
memory/voice-memos// 创建数据目录 - Creates config file
config/voice-memo-sync.yaml/ 创建配置文件 - Creates Apple Notes folder "Voice Memos" / 创建 Apple Notes 文件夹
- Checks dependencies and prompts installation / 检查依赖并提示安装
When to Use / 何时使用
✅ USE this skill when user:
- Sends voice/audio/video files / 发送语音/音频/视频文件
- Sends YouTube/Bilibili URLs / 发送 YouTube/B站 链接
- Sends transcript text files / 发送转录文本文件
- Says "sync voice memos", "process recording", "organize this video"
- 说「同步语音备忘录」「处理录音」「整理这个视频」
❌ DO NOT use when:
- User just wants to play audio/video / 用户只想播放音视频
- User asks about music/podcasts without transcription needs / 询问音乐/播客但不需要转录
Supported Formats / 支持格式
⚡ Metal GPU Acceleration (NEW)
On Apple Silicon, whisper-cpp provides 15-20x faster transcription:
| Audio | CPU (openai-whisper) | Metal GPU (whisper-cpp) |
|---|---|---|
| 5 min | ~5 min | ~20 sec |
| 30 min | ~30 min | ~2 min |
| 60 min | ~60 min | ~4 min |
# Install for Metal acceleration (recommended)
brew install whisper-cpp
The skill auto-detects and uses Metal when available.
| Type / 类型 | Formats / 格式 | Processing / 处理方式 |
|---|---|---|
| Voice Memos | .qta, .m4a | Apple native (QTA metadata) → Whisper fallback |
| Audio | .mp3, .wav, .aac, .flac | Whisper local transcription |
| Video | .mp4, .mov, .mkv, .webm | ffmpeg extract → Whisper |
| YouTube | URL | summarize CLI → yt-dlp fallback |
| Bilibili | URL | yt-dlp download → Whisper |
| Text | .txt, .md | Direct read, skip transcription |
| Documents | .doc, .docx | textutil convert → process |
| Structured | .json, .csv | Parse and extract text |
| iCloud | Configured paths | Scheduled sync |
What ships with it
7 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.
- examples/sample-output.md 3.2 KB
- scripts/create-apple-note.sh 1.0 KB runs code
- scripts/extract-apple-transcript.py 8.2 KB runs code
- scripts/install.sh 4.5 KB runs code
- scripts/monitor-transcription.sh 4.5 KB runs code
- scripts/process.sh 8.1 KB runs code
- scripts/sync-icloud-recordings.sh 2.2 KB runs code
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 · 626 lines · 44 tokens per session scan A 0de00d1d0bce
voice-memo-sync is a skill published in the GitHub repository ying-wen/voice-memo-sync (12 stars, last pushed 8mo ago), licensed MIT. It adds 44 tokens to every session and 5,607 once invoked, about $0.0002 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 2026-08-30.
voice-memo-sync compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voice-memo-syncying-wen/voice-memo-sync | Skill | 12 | 8mo ago | MIT | A | 44 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 314k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |