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 skills add vibesurf-ai/claude-surf --skill config-voicegit clone --depth 1 https://github.com/vibesurf-ai/claude-surfWrote 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/vibesurf-ai/claude-surf/config-voice)<a href="https://agentmods.dev/skills/vibesurf-ai/claude-surf/config-voice"><img src="https://agentmods.dev/badge/skills/vibesurf-ai/claude-surf/config-voice/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/skills/vibesurf-ai/claude-surf/config-voice"><img src="https://agentmods.dev/badge/skills/vibesurf-ai/claude-surf/config-voice.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 | $0.00053 | $0.01522 |
| Opus 5 | $0.00026 | $0.00761 |
| Sonnet 5 | $0.00011 | $0.00304 |
| Haiku 4.5 | $0.00005 | $0.00152 |
Grade A, and why
config-voice 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 12d 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Config Voice - Voice Profile & ASR Management
Overview
Manage voice profiles for VibeSurf. Configure ASR (Automatic Speech Recognition) providers, models, and perform speech-to-text conversion.
Supported ASR providers:
- qwen-asr - Alibaba Qwen ASR models
- openai-asr - OpenAI Whisper API
- gemini-asr - Google Gemini ASR
When to Use
- User wants to add a new voice profile for ASR
- User needs to configure speech-to-text settings
- User wants to update voice profile settings (API key, model params, etc.)
- User needs to list or manage existing voice profiles
- User wants to perform voice recognition (ASR) on an audio file
- User wants to see available voice models
API Endpoints
Base path: $VIBESURF_ENDPOINT/api/voices
Voice Profile Management
| Action | Method | Endpoint | Description |
|---|---|---|---|
| List Profiles | GET | /api/voices/voice-profiles?active_only=true |
List all voice profiles |
| Get Profile | GET | /api/voices/{voice_profile_name} |
Get specific profile details |
| Create Profile | POST | /api/voices/voice-profiles |
Create new voice profile |
| Update Profile | PUT | /api/voices/voice-profiles/{voice_profile_name} |
Update existing profile |
ASR (Speech Recognition)
| Action | Method | Endpoint | Description |
|---|---|---|---|
| Perform ASR | POST | /api/voices/asr |
Transcribe audio file to text |
Model Management
| Action | Method | Endpoint | Description |
|---|---|---|---|
| List Models | GET | /api/voices/models |
Get available voice models |
Request Examples
Create ASR Profile
POST /api/voices/voice-profiles
{
"voice_profile_name": "my-qwen-asr",
"voice_model_type": "asr",
"voice_model_name": "qwen-asr",
"api_key": "sk-...",
"voice_meta_params": {
"asr_model_name": "qwen-audio-asr-latest"
},
"description": "Qwen ASR for Chinese speech recognition"
}
Create OpenAI Whisper Profile
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.
- 12d ago First seen · 180 lines · 53 tokens per session scan A 7d31a41b4c1a
config-voice is a skill published in the GitHub repository vibesurf-ai/claude-surf (24 stars, last pushed 7mo ago), licensed MIT. It adds 53 tokens to every session and 1,522 once invoked, about $0.0003 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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