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Agent skill · Audited from source

Eachlabs Voice Audio

skill · InternLM/WildClawBenchMIT licenceAudited 15 Oct 2026 · source a79d9cd3663a

★ 533pushed 27 days agoversion 1.0
✓SAFEGrade B · 89/100 · 15 Oct 2026 · a79d9cd
533repo stars · whole InternLM/WildClawBench

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit a79d9cd3663a and found no filesystem, network or shell access and no hard-coded secrets. What it does: Text-to-speech, speech-to-text, voice conversion, and audio processing using EachLabs AI models. Supports ElevenLabs TTS, Whisper transcription with diarization, and RVC voice conversion. Use when the user needs TTS,…

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Cite this page

ModelsAtlas. “Eachlabs Voice Audio (InternLM/WildClawBench)”. Retrieved 15 Oct 2026. https://modelsatlas.com/skills/internlm/eachlabs-voice-audio

Trust audit

Audit 0.4.1 · source read 15 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium0 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 16,667 of 17,602 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS0
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (0)

No findings at any severity. We re-audit when the source changes.

Audit 0.4.1 · source sha a79d9cd3663a · 15 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • PublisherInternLM GitHub organizationOwner of the repository this skill is read from
  • Source folderInternLM/WildClawBench/skills/5/eachlabs-voice-audioThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdicta79d9cd3663aA new audit runs when the source changes
  • Repository statusNot archivedLast push 27 days ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Text-to-speech, speech-to-text, voice conversion, and audio processing using EachLabs AI models. Supports ElevenLabs TTS, Whisper transcription with diarization, and RVC voice conversion. Use when the user needs TTS,…

---
name: eachlabs-voice-audio
description: Text-to-speech, speech-to-text, voice conversion, and audio processing using EachLabs AI models. Supports ElevenLabs TTS, Whisper transcription with diarization, and RVC voice conversion. Use when the user needs TTS, transcription, or voice conversion.
metadata:
  author: eachlabs
  version: "1.0"
---

# EachLabs Voice & Audio

Text-to-speech, speech-to-text transcription, voice conversion, and audio utilities via the EachLabs Predictions API.

## Authentication

```
Header: X-API-Key: <your-api-key>
```

Set the `EACHLABS_API_KEY` environment variable. Get your key at [eachlabs.ai](https://eachlabs.ai).

## Available Models

### Text-to-Speech

| Model | Slug | Best For |
|-------|------|----------|
| ElevenLabs TTS | `elevenlabs-text-to-speech` | High quality TTS |
| ElevenLabs TTS w/ Timestamps | `elevenlabs-text-to-speech-with-timestamp` | TTS with word timing |
| ElevenLabs Text to Dialogue | `elevenlabs-text-to-dialogue` | Multi-speaker dialogue |
| ElevenLabs Sound Effects | `elevenlabs-sound-effects` | Sound effect generation |
| ElevenLabs Voice Design v2 | `elevenlabs-voice-design-v2` | Custom voice design |
| Kling V1 TTS | `kling-v1-tts` | Kling text-to-speech |
| Kokoro 82M | `kokoro-82m` | Lightweight TTS |
| Play AI Dialog | `play-ai-text-to-speech-dialog` | Dialog TTS |
| Stable Audio 2.5 | `stable-audio-2-5-text-to-audio` | Text to audio |

### Speech-to-Text

| Model | Slug | Best For |
|-------|------|----------|
| ElevenLabs Scribe v2 | `elevenlabs-speech-to-text-scribe-v2` | Best quality transcription |
| ElevenLabs STT | `elevenlabs-speech-to-text` | Standard transcription |
| Wizper with Timestamp | `wizper-with-timestamp` | Timestamped transcription |
| Wizper | `wizper` | Basic transcription |
| Whisper | `whisper` | Open-source transcription |
| Whisper Diarization | `whisper-diarization` | Speaker identification |
| Incredibly Fast Whisper | `incredibly-fast-whisper` | Fastest transcription |

### Voice Conversion & Cloning

| Model | Slug | Best For |
|-------|------|----------|
| RVC v2 | `rvc-v2` | Voice conversion |
| Train RVC | `train-rvc` | Train custom voice model |
| ElevenLabs Voice Clone | `elevenlabs-voice-clone` | Voice cloning |
| ElevenLabs Voice Changer | `elevenlabs-voice-changer` | Voice transformation |
| ElevenLabs Voice Design v3 | `elevenlabs-voice-design-v3` | Advanced voice design |
| ElevenLabs Dubbing | `elevenlabs-dubbing` | Video dubbing |
| Chatterbox S2S | `chatterbox-speech-to-speech` | Speech to speech |
| Open Voice | `openvoice` | Open-source voice clone |
| XTTS v2 | `xtts-v2` | Multi-language voice clone |
| Stable Audio 2.5 Inpaint | `stable-audio-2-5-inpaint` | Audio inpainting |
| Stable Audio 2.5 A2A | `stable-audio-2-5-audio-to-audio` | Audio transformation |
| Audio Trimmer | `audio-trimmer-with-fade` | Audio trimming with fade |

### Audio Utilities

| Model | Slug | Best For |
|-------|------|----------|
| FFmpeg Merge Audio Video | `ffmpeg-api-merge-audio-video` | Merge audio with video |
| Toolkit Video Convert | `toolkit` | Video/audio conversion |

## Prediction Flow

1. **Check model** `GET https://api.eachlabs.ai/v1/model?slug=<slug>` — validates the model exists and returns the `request_schema` with exact input parameters. Always do this before creating a prediction to ensure correct inputs.
2. **POST** `https://api.eachlabs.ai/v1/prediction` with model slug, version `"0.0.1"`, and input matching the schema
3. **Poll** `GET https://api.eachlabs.ai/v1/prediction/{id}` until status is `"success"` or `"failed"`
4. **Extract** the output from the response

## Examples

### Text-to-Speech with ElevenLabs

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "elevenlabs-text-to-speech",
    "version": "0.0.1",
    "input": {
      "text": "Welcome to our product demo. Today we will walk through the key features.",
      "voice_id": "EXAVITQu4vr4xnSDxMaL",
      "model_id": "eleven_v3",
      "stability": 0.5,
      "similarity_boost": 0.7
    }
  }'
```

### Transcription with ElevenLabs Scribe

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "elevenlabs-speech-to-text-scribe-v2",
    "version": "0.0.1",
    "input": {
      "media_url": "https://example.com/recording.mp3",
      "diarize": true,
      "timestamps_granularity": "word"
    }
  }'
```

### Transcription with Wizper (Whisper)

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wizper-with-timestamp",
    "version": "0.0.1",
    "input": {
      "audio_url": "https://example.com/audio.mp3",
      "language": "en",
      "task": "transcribe",
      "chunk_level": "segment"
    }
  }'
```

### Speaker Diarization with Whisper

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "whisper-diarization",
    "version": "0.0.1",
    "input": {
      "file_url": "https://example.com/meeting.mp3",
      "num_speakers": 3,
      "language": "en",
      "group_segments": true
    }
  }'
```

### Voice Conversion with RVC v2

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "rvc-v2",
    "version": "0.0.1",
    "input": {
      "input_audio": "https://example.com/vocals.wav",
      "rvc_model": "CUSTOM",
      "custom_rvc_model_download_url": "https://example.com/my-voice-model.zip",
      "pitch_change": 0,
      "output_format": "wav"
    }
  }'
```

### Merge Audio with Video

```bash
curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit a79d9cd

Download folder ↗
git clone https://github.com/InternLM/WildClawBench
git -C WildClawBench checkout a79d9cd3663a

The author documents no install command, so this uses the repository directly. Our verdict covers commit a79d9cd3663a only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source a79d9cd3663a

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Questions about Eachlabs Voice Audio

What does the Eachlabs Voice Audio skill do?
An in-the-wild benchmark for AI agents in the production harness.
Is Eachlabs Voice Audio safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Eachlabs Voice Audio access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (a79d9cd3663a), read on 2026-10-15. The repository is watched, and a new audit runs when it changes — this is the first audit.

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