What makes Gemini STT notable?

2.5K downloads. Trust evidence available

How should Gemini STT be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Gemini STT

Transcribe audio files using Google's Gemini API or Vertex AI Skill: Gemini STT Summary: Transcribe audio files using Google's Gemini API or Vertex AI Tags: latest:1.1.0 Version history: v1.1.0 | 2026-01-17T12:06:21.889Z | user Added support for Google Vertex AI with Application Default Credentials (ADC). Now supports both GEMINI_API_KEY and gcloud ADC authentication methods. Auto-detects authentication method. v1.0.0 | 2026-01-13T18:18:30.222Z | user Initial release of Gemini-

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.5k

Updated

Apr 15, 2026

Version

1.1.0

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.5K downloads reported by the source. Last updated 4/15/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Apr 15, 2026
Protocol compatibility: OpenClawcompatibility · observed Apr 15, 2026
Adoption signal: 2.5K downloadsadoption · observed Apr 15, 2026
Latest release: 1.1.0release · observed Jan 17, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install unknown:gemini-stt

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-unknown-gemini-stt/snapshot"

Documentation

CLAWHUB

7,215 characters of source documentation, loaded on request.

Extracted files

2 files captured from the source.

SKILL.md

---
name: gemini-stt
description: Transcribe audio files using Google's Gemini API or Vertex AI
metadata: {"clawdbot":{"emoji":"🎤","os":["linux","darwin"]}}
---

# Gemini Speech-to-Text Skill

Transcribe audio files using Google's Gemini API or Vertex AI. Default model is `gemini-2.0-flash-lite` for fastest transcription.

## Authentication (choose one)

### Option 1: Vertex AI with Application Default Credentials (Recommended)

```bash
gcloud auth application-default login
gcloud config set project YOUR_PROJECT_ID
```

The script will automatically detect and use ADC when available.

### Option 2: Direct Gemini API Key

Set `GEMINI_API_KEY` in environment (e.g., `~/.env` or `~/.clawdbot/.env`)

## Requirements

- Python 3.10+ (no external dependencies)
- Either GEMINI_API_KEY or gcloud CLI with ADC configured

## Supported Formats

- `.ogg` / `.opus` (Telegram voice messages)
- `.mp3`
- `.wav`
- `.m4a`

## Usage

```bash
# Auto-detect auth (tries ADC first, then GEMINI_API_KEY)
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg

# Force Vertex AI
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --vertex

# With a specific model
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --model gemini-2.5-pro

# Vertex AI with specific project and region
python ~/.claude/skills/gemini-stt/transcribe.py /path/to/audio.ogg --vertex --project my-project --region us-central1

# With Clawdbot media
python ~/.claude/skills/gemini-stt/transcribe.py ~/.clawdbot/media/inbound/voice-message.ogg
```

## Options

| Option | Description |
|--------|-------------|
| `<audio_file>` | Path to the audio file (required) |
| `--model`, `-m` | Gemini model to use (default: `gemini-2.0-flash-lite`) |
| `--vertex`, `-v` | Force use of Vertex AI with ADC |
| `--project`, `-p` | GCP project ID (for Vertex, defaults to gcloud config) |
| `--region`, `-r` | GCP region (for Vertex, default: `us-central1`) |

## Supported Models

Any Gemini model that supports audio input can be used. Recommended models:

| Model | Notes |
|-------|-------|
| `gemini-2.0-flash-lite` | **Default.** Fastest transcription speed. |
| `gemini-2.0-flash` | Fast and cost-effective. |
| `gemini-2.5-flash-lite` | Lightweight 2.5 model. |
| `gemini-2.5-flash` | Balanced speed and quality. |
| `gemini-2.5-pro` | Higher quality, slower. |
| `gemini-3-flash-preview` | Latest flash model. |
| `gemini-3-pro-preview` | Latest pro model, best quality. |

See [Gemini API Models](https://ai.google.dev/gemini-api/docs/models) for the latest list.

## How It Works

1. Reads the audio file and base64 encodes it
2. Auto-detects authentication:
   - If ADC is available (gcloud), uses Vertex AI endpoint
   - Otherwise, uses GEMINI_API_KEY with direct Gemini API
3. Sends to the selected Gemini model with transcription prompt
4. Returns the transcribed text

## Example Integration

For Clawdbot voice message handling:

```bash
# Transcribe incoming voice message
TRANSCRIP

_meta.json

{
  "ownerId": "kn74rm3nhtpv387m12frad6bws7z5kqr",
  "slug": "gemini-stt",
  "version": "1.1.0",
  "publishedAt": 1768651581889
}

Github ReposUpdated 2h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW

Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW

Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW

Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular