Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Communication & Collaboration
Imsg Media
Fetch iMessage/Messages.app attachments (voice memos and images) and process them — transcribe audio via Silicon Flow ASR (SenseVoiceSmall), and analyze imag...
skill openclawclawhub Free
Fetch iMessage/Messages.app attachments (voice memos and images) and process them — transcribe audio via Silicon Flow ASR (SenseVoiceSmall), and analyze imag...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, scripts/imsg_voice_transcribe.py
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- tankyhsu
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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
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 permissionDenied
API key (audio only)
Silicon Flow API key — sign up free at https://siliconflow.cn Long-term use: add to ~/.openclaw/.env: SILICON_FLOW_KEY=sk-... Quick test / override: pass --api-key sk-... directly to the script Image analysis does not require this key
CLI dependency
imsg CLI: npm install -g imsg
Trigger conditions
Activate this skill when: Incoming message text contains the attachment placeholder  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
Attachment detected? ├── Audio (.m4a / .caf / .wav / .mp3) → transcribe via Silicon Flow ASR ├── Image (.jpg / .png / .heic / .gif) → read with vision model └── Unknown / not downloaded → increase --limit or ask user to resend
Step 1 — Get the sender identifier
Always read from the message envelope: [iMessage sender@example.com ...] → use sender@example.com [SMS +1234567890 ...] → use +1234567890 Never hardcode an address
Step 2 — Fetch the attachment
# Run from the skill directory cd ~/.openclaw/skills/imsg-voice-transcribe python3 scripts/imsg_voice_transcribe.py fetch \ --identifier "sender@example.com" \ --limit 50 Returns JSON with file, type (audio or image), and metadata. If nothing found, try --limit 100.
Step 3a — Audio: transcribe
# One-liner (fetch + transcribe) python3 scripts/imsg_voice_transcribe.py auto \ --identifier "sender@example.com" \ --limit 50 --raw # Or transcribe a specific file python3 scripts/imsg_voice_transcribe.py transcribe \ --file /path/to/audio.m4a --raw # Quick test with explicit API key (no env setup needed) python3 scripts/imsg_voice_transcribe.py transcribe \ --file /path/to/audio.m4a --api-key sk-... --raw
Step 3b — Image: analyze
After fetch returns an image path (e.g. {"file": "/path/to/photo.jpg", "type": "image"}): # Example: fetch image from a sender python3 scripts/imsg_voice_transcribe.py fetch \ --identifier "sender@example.com" --type image --limit 50 # → {"file": "/Users/.../Messages/Attachments/photo.jpg", "type": "image", ...} Then in the agent: If HEIC/HEIF: convert first → sips -s format png "input.heic" --out "output.png" Open with the read tool → agent vision model processes it 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
FormatTypeNotes.m4aAudioStandard iMessage voice memo.cafAudioOlder iOS voice memo (AAC in CAF).wav .mp3AudioOther sources.jpg .jpeg .pngImageStandard photos.heic .heifImageiPhone default — convert to PNG first.gifImageAnimated or static
Troubleshooting
ErrorCauseFixpermissionDeniedNo Full Disk AccessGrant FDA in System SettingsSILICON_FLOW_KEY not setMissing API keyAdd to ~/.openclaw/.envNo attachments foundLow limit or iCloud not syncedIncrease --limit; ask user to resendRequest timed outNetwork or large fileRetry; check file < 25MBHEIC not displayingFormat not supported by readConvert with sips first
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Scripts
- SKILL.md
- scripts/imsg_voice_transcribe.py