imsg-media

Full iMessage multimedia pipeline:

• - 🎙️ Voice memo → text via Silicon Flow ASR (SenseVoiceSmall, cloud, no local model)
• 🖼️ Image → description/OCR via agent's built-in vision model

Requirements

macOS permissions

• - Full Disk Access must be granted to the process running OpenClaw
• Settings → Privacy & Security → Full Disk Access → add your terminal/app
• Without this, imsg cannot read ~/Library/Messages/chat.db and will return INLINECODE2

API key (audio only)

• - Silicon Flow API key — sign up free at https://siliconflow.cn
• Long-term use: add to ~/.openclaw/.env: INLINECODE4
• Quick test / override: pass --api-key sk-... directly to the script
• Image analysis does not require this key

CLI dependency

• - imsg CLI: INLINECODE7

Trigger conditions

Activate this skill when:

• - Incoming message text contains the attachment placeholder INLINECODE8
• User says "语音转文字", "转写", "识别语音", "transcribe"
• User says "看图", "识别图片", "读图", "OCR", "截图里写的什么"
• User references a photo/audio/file they just sent via iMessage

Decision flow

CODEBLOCK0

Workflow

Step 1 — Get the sender identifier

• - [iMessage sender@example.com ...] → use INLINECODE10
• INLINECODE11 → use INLINECODE12
• Never hardcode an address

Step 2 — Fetch the attachment

CODEBLOCK1

Returns JSON with file, type (audio or image), and metadata.

If nothing found, try --limit 100.

Step 3a — Audio: transcribe

CODEBLOCK2

Step 3b — Image: analyze

After fetch returns an image path (e.g. {"file": "/path/to/photo.jpg", "type": "image"}):

CODEBLOCK3

Then in the agent:

1. 1. If HEIC/HEIF: convert first → INLINECODE20
2. Open with the read tool → agent vision model processes it
3. Respond with: what it is, main subject, any text/OCR, notable details

Default image response format:

• - What it is: photo / screenshot / document
• Main subject: 1–2 sentences
• Text (OCR): quote key text, or "无明显文字"
• Details: 3–5 bullets
• Follow-up: ask if they want OCR / table extraction / comparison / etc.

Supported formats

Troubleshooting