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 agentmods add commands/mbailey/voicemode/installgit clone --depth 1 https://github.com/mbailey/voicemodeWhat 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 | $0.00011 | $0.00615 |
| Opus 5 | $0.00005 | $0.00308 |
| Sonnet 5 | $0.00002 | $0.00123 |
| Haiku 4.5 | $0.00001 | $0.00061 |
Grade C, and why
install scanned grade C with 2 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 2d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
- **UV** - Python package manager (install: `curl -LsSf https://astral.sh/uv/install.sh | sh`) Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **UV** - Python package manager (install: `curl -LsSf https://astral.sh/uv/install.sh | sh`) How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/voicemode:install
Install VoiceMode and all dependencies needed for voice conversations.
Quick Install (Non-Interactive)
For a fast, fully automated install on Apple Silicon:
uvx voice-mode-install --yes
voicemode service install whisper
voicemode service install kokoro
What Gets Installed
| Component | Size | Purpose |
|---|---|---|
| FFmpeg | ~50MB | Audio processing (via Homebrew) |
| VoiceMode CLI | ~10MB | Command-line tools |
| Whisper (base) | ~150MB | Speech-to-text |
| Kokoro | ~350MB | Text-to-speech |
Implementation
-
Check architecture:
uname -m(arm64 = Apple Silicon, recommended for local services) -
Check what's already installed:
which voicemode # VoiceMode CLI which ffmpeg # Audio processing -
Install missing components:
# Full install (installs ffmpeg, voicemode, and checks dependencies) uvx voice-mode-install --yes # Install local services voicemode service install whisper voicemode service install kokoro -
Verify services are running:
voicemode service status whisper voicemode service status kokoro -
Reconnect MCP server: After installation, the VoiceMode MCP server needs to reconnect:
- Run
/mcpand select voicemode, then click "Reconnect", OR - Restart Claude Code
- Run
Whisper Model Selection
For Apple Silicon Macs with 16GB+ RAM, the large-v2 model is recommended:
| Model | Download | RAM Usage | Accuracy |
|---|---|---|---|
| base | ~150MB | ~300MB | Good (default) |
| small | ~460MB | ~1GB | Better |
| large-v2 | ~3GB | ~5GB | Best (recommended for 16GB+ RAM) |
| large-v3-turbo | ~1.5GB | ~3GB | Fast & accurate |
To install the recommended model:
voicemode whisper install --model large-v2
Prerequisites
This install process assumes:
- UV - Python package manager (install:
curl -LsSf https://astral.sh/uv/install.sh | sh) - Homebrew - macOS package manager (install:
brew.sh)
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.
- 2d ago First seen · 85 lines · 11 tokens per session scan C 2bda97099530
install is a command published in the GitHub repository mbailey/voicemode (1,346 stars, last pushed yesterday), licensed MIT. It adds 11 tokens to every session and 615 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
a11y-scan
Scan web application components for accessibility violations against WCAG guidelines.
report
Generate a project analytics report covering code quality, velocity, and health metrics.
explain
Explain a code file, function, or concept in clear, structured language.
generate-api-ref
Generate API reference documentation from source code and route definitions.
setup-lambda
Configure and deploy an AWS Lambda function with proper settings.
configure-blob
Create and configure an Azure Blob Storage account with security best practices.