VoiceMode adds natural spoken conversations to Claude Code and other agents that support MCP. Developers use it when their hands or eyes are busy, with optional local speech services for offline or privacy-focused use, and the catalogue provides skills, hooks, commands, plugins, instructions, agents, settings, and MCP integration for the workflow.
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 skills/mbailey/voicemode/impressionsnpx skills add mbailey/voicemode --skill impressionsgit clone --depth 1 https://github.com/mbailey/voicemodeWrote 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/mbailey/voicemode/impressions)<a href="https://agentmods.dev/skills/mbailey/voicemode/impressions"><img src="https://agentmods.dev/badge/skills/mbailey/voicemode/impressions.svg" alt="Measured on agentmods" 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 | $0.00047 | $0.01706 |
| Opus 5 | $0.00023 | $0.00853 |
| Sonnet 5 | $0.00009 | $0.00341 |
| Haiku 4.5 | $0.00005 | $0.00171 |
Grade A, and why
impressions 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 6d 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 — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Impressions
Make VoiceMode speak in any voice. The model takes a short reference clip and synthesises fresh speech in that voice via local Qwen3-TTS on top of mlx-audio.
Status: Preview / experimental. Apple Silicon only. Opt-in.
When to use this skill
- User asks for "voice cloning", "do an impression", "speak as X", "add my voice"
- A
voice=argument invoicemode:conversedoesn't match a known Kokoro voice - User wants to install or troubleshoot the
mlx-audioservice - User asks how to configure a remote mlx-audio server
Quick start
# 1. Install the local TTS service (one-time, Apple Silicon only)
voicemode service install mlx-audio
# 2. Add a voice from a reference clip
voicemode clone add fleabag ~/Downloads/fleabag-clip.wav
# 3. Use it
voicemode converse --voice fleabag
In the MCP converse tool, pass voice="fleabag" -- VoiceMode auto-routes any voice that matches a profile in VOICEMODE_VOICES_DIR to mlx-audio instead of Kokoro / OpenAI.
Reference clip requirements
voicemode clone add validates the input before doing any expensive work:
- Duration: 3-9 seconds (5-9s sweet spot). Clips outside this window are rejected with an actionable error.
- Mono speech, no music or cross-talk. The model copies what it hears -- including hum, music beds, laugh tracks, and overlapping speakers.
- Any input format accepted. WAV, MP3, M4A, etc. -- ffmpeg normalises whatever you hand it.
- Output is always mono 24 kHz 16-bit PCM with loudnorm I=-16 TP=-1.5 LRA=11. This is the canonical voice-lab format; the original input is replaced by this normalised render at
default.wav. - ALWAYS pair the clip with its transcript. The model conditions on the reference text; without one it ASRs the clip itself, and any mis-hearing (noisy or vintage audio especially) corrupts the conditioning -- the symptom is stammering / stuttered synthesis.
voicemode clone addauto-transcribes intovoice.md(verify it -- correct mis-hearings by hand); voice-lab'ssayasreads<clip>.txtnext to each wav; the MCPconversetool takesref_textalongside a clip-pathvoice. (Root-caused on VL-50, 2026-06-11: 1977 Doctor Who clips stammered until transcripts were supplied -- then "much better!!!".)
What ships with it
2 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.
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.
- 6d ago First seen · 110 lines · 47 tokens per session scan A 1378fb273b67
impressions is a skill published in the GitHub repository mbailey/voicemode (1,349 stars, last pushed 2d ago), licensed MIT. It adds 47 tokens to every session and 1,706 once invoked, about $0.0002 per session on Opus 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.
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