Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Faster Whisper Local Service
OpenClaw local speech-to-text backend using faster-whisper over HTTP on 127.0.0.1:18790. Use when you want voice transcription without external APIs, without...
skill openclawclawhub Free
OpenClaw local speech-to-text backend using faster-whisper over HTTP on 127.0.0.1:18790. Use when you want voice transcription without external APIs, without...
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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, references/troubleshooting.md, scripts/deploy.sh, scripts/status.sh
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
- 0.2.0
Provenance
- Publisher
- neldar
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Faster Whisper Local Service
Provision a local STT backend used by voice skills.
What this sets up
Python venv for faster-whisper transcribe-server.py HTTP endpoint at http://127.0.0.1:18790/transcribe systemd user service: openclaw-transcribe.service
Important: Model download on first run
On first startup, faster-whisper downloads model weights from Hugging Face (~1.5 GB for medium). This requires internet access and disk space. After the initial download, models are cached locally and the service runs fully offline. ModelDownload sizeRAM usagetiny~75 MB~400 MBbase~150 MB~500 MBsmall~500 MB~800 MBmedium~1.5 GB~1.4 GBlarge-v3~3.0 GB~3.5 GB To pre-download models in an air-gapped environment, see faster-whisper docs.
Network isolation
Binds to 127.0.0.1 only โ not reachable from the network. CORS restricted to a single origin (https://127.0.0.1:8443 by default). No credentials, API keys, or secrets are used or stored.
Input validation
Upload size limit: Requests exceeding the configured limit are rejected before processing (HTTP 413). Default: 50 MB, configurable via MAX_UPLOAD_MB. Magic-byte check: Only files with recognized audio signatures (WAV, OGG, FLAC, MP3, WebM, M4A) are accepted. Unrecognized formats are rejected (HTTP 415) before reaching GStreamer. Subprocess safety: All arguments to gst-launch-1.0 are passed as a list โ no shell expansion or injection is possible.
GStreamer dependency
The service uses GStreamer's decodebin for audio format conversion. Like any media library, GStreamer's parsers process binary data and should be kept up to date. Mitigation: install gst-launch-1.0 from your OS vendor's trusted packages and apply security updates regularly. The magic-byte pre-filter above reduces the attack surface by rejecting non-audio payloads before they reach GStreamer.
No data exfiltration
No outbound network calls (after initial model download). No telemetry, analytics, or phone-home behavior. Temporary files are created in a per-request TemporaryDirectory and cleaned up immediately.
Reproducibility defaults
Pinned package: faster-whisper==1.1.1 (override via env) Explicit dependency check for gst-launch-1.0 CORS restricted to one origin by default Configurable workspace/service paths (no hardcoded user path)
Deploy
bash scripts/deploy.sh With custom settings: WORKSPACE=~/.openclaw/workspace \ TRANSCRIBE_PORT=18790 \ WHISPER_MODEL_SIZE=medium \ WHISPER_LANGUAGE=auto \ TRANSCRIBE_ALLOWED_ORIGIN=https://10.0.0.42:8443 \ bash scripts/deploy.sh
Language setting
Default: auto (auto-detect language). Set WHISPER_LANGUAGE=de for German-only, en for English-only, etc. Fixed language is faster and more accurate if you only use one language. Idempotent: safe to run repeatedly.
What this skill modifies
WhatPathActionPython venv$WORKSPACE/.venv-faster-whisper/Creates venv, installs faster-whisper via pipTranscribe server$WORKSPACE/voice-input/transcribe-server.pyWrites server scriptSystemd service~/.config/systemd/user/openclaw-transcribe.serviceCreates + enables persistent serviceModel cache~/.cache/huggingface/Downloads model weights on first run
Uninstall
systemctl --user stop openclaw-transcribe.service systemctl --user disable openclaw-transcribe.service rm -f ~/.config/systemd/user/openclaw-transcribe.service systemctl --user daemon-reload Optional full cleanup: rm -rf ~/.openclaw/workspace/.venv-faster-whisper rm -f ~/.openclaw/workspace/voice-input/transcribe-server.py
Verify
bash scripts/status.sh Expected: service active endpoint responds (HTTP 200/500 acceptable for invalid sample payload)
Notes
This skill provides backend transcription only. Pair with webchat-voice-proxy for browser mic + HTTPS/WSS integration. For one-step install, use webchat-voice-full-stack (deploys backend + proxy in order).
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs2 Scripts
- SKILL.md
- references/troubleshooting.md
- scripts/deploy.sh
- scripts/status.sh