Borrowing it
Nothing to install: this file belongs to OLGTX303/voxcpm-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/OLGTX303/voxcpm-mcp/master/.claude/commands/voxcpm.mdgit clone --depth 1 https://github.com/OLGTX303/voxcpm-mcpWrote 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/commands/olgtx303/voxcpm-mcp/voxcpm)<a href="https://agentmods.dev/commands/olgtx303/voxcpm-mcp/voxcpm"><img src="https://agentmods.dev/badge/commands/olgtx303/voxcpm-mcp/voxcpm/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/olgtx303/voxcpm-mcp/voxcpm"><img src="https://agentmods.dev/badge/commands/olgtx303/voxcpm-mcp/voxcpm.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00468 |
| Opus 5 | $0.00000 | $0.00234 |
| Sonnet 5 | $0.00000 | $0.00094 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
voxcpm 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 10d 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.
What it actually says
VoxCPM — Synthesize speech with VoxCPM2
You are helping the user generate high-quality AI speech using VoxCPM2, a 2B-parameter diffusion TTS model running locally on CUDA.
What you have access to
The voxcpm-tts MCP server exposes four tools:
| Tool | Purpose |
|---|---|
synthesize |
Convert text to WAV using the default VoxCPM2 voice |
synthesize_with_clone |
Convert text to WAV cloning a reference speaker |
preload_model |
Load VoxCPM2 into VRAM before synthesis (call once to warm up) |
ping |
Verify the worker subprocess is running |
How to handle the user's request
- If the user says
/voxcpm <text>— synthesize that text directly. - If they provide a reference WAV path and transcript — use
synthesize_with_clone. - If no output filename is specified, generate a descriptive one (e.g.
intro_narration.wav). - After synthesis, report the output path and duration.
- If the tool returns an error about the model not loaded, call
preload_modelfirst, then retry.
Parameter guidance
steps: default 30 is a good balance. Use 20 for a quick draft, 50 for final quality.reference_wav_path: must be an absolute path to a 48 kHz mono WAV.- Output files go to the directory set in
VOXCPM_OUTPUT_DIR(default:./voxcpm_output/).
Example interactions
User: /voxcpm Hello, this is a test of the VoxCPM narration system.
→ Call synthesize with that text, output_filename="test.wav"
User: /voxcpm Narrate scene 3. Clone my voice from reference.wav — it says "Welcome to the demo."
→ Call synthesize_with_clone with reference_wav_path and reference_text
User: /voxcpm warm up
→ Call preload_model to load VoxCPM2 into VRAM
Now handle the user's request using the voxcpm-tts MCP tools.
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.
- 10d ago First seen · 42 lines · 0 tokens per session scan A d14ab994fd68
voxcpm is a command published in the GitHub repository OLGTX303/voxcpm-mcp (0 stars, last pushed 2mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 468 tokens. 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 2026-08-31.
Other commands, from other repositories
brand-generate
Generate an on-brand document from a saved Brand Profile.
list
List available Piper TTS TTS voices with optional filtering.
review-video
Make a " Reviews" video — a fast, faceless VO montage of REAL, verified competitor reviews that names the recurring complaints and positions YOUR business as the alternative, then hands off to your own customer testimonials.
transcribe
Transcribe the file at $ARGUMENTS into Markdown using the Frenchie MCP server.
varyshop-carousel
Create a Varyshop multi-slide carousel (LIGHT style, hook → CTA).
imperium:create-video
Create startup video content. Supports pitch videos, product demos, social clips, investor updates, and hiring videos. Bridges to Remotion for rendering.