What makes Whisper Voice Transcription (whisper.cpp) notable?

977 downloads. Trust evidence available

How should Whisper Voice Transcription (whisper.cpp) 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

Whisper Voice Transcription (whisper.cpp)

Build and use whisper.cpp for local speech-to-text workflows, with optional cloud fallback when local transcription is not practical. Skill: Whisper Voice Transcription (whisper.cpp) Owner: xuxuclassmate Summary: Build and use whisper.cpp for local speech-to-text workflows, with optional cloud fallback when local transcription is not practical. Tags: audio:1.1.1, chinese:1.1.0, latest:1.1.1, media:1.1.1, speech-to-text:1.1.1, stt:1.1.1, transcription:1.1.1, voice:1.1.1, voice-transcription:1.0.0, whisper:1.1.1 Version history: v1.1.1 | 2026-04-22T0

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

977

Updated

Oct 11, 2026

Version

1.1.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 977 downloads reported by the source. Last updated 10/11/2026.

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 Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 977 downloadsadoption · observed Oct 11, 2026
Latest release: 1.1.1release · observed Apr 22, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.1.1release
Translate the guide to English and tighten the instructions around official downloads and scoped audio-file discovery.
Observed Apr 22, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s17ev136gszam5rsp8hcgkksex83gbfy:whisper-voice-transcription

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-xuxuclassmate-whisper-voice-transcription/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

17,786 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: whisper-voice-transcription
description: Build and use whisper.cpp for local speech-to-text workflows, with optional cloud fallback when local transcription is not practical.
tags: [speech-to-text, stt, voice, transcription, whisper, audio]
version: 1.1.1
---

# Whisper Voice Transcription with whisper.cpp

## When to use

- You want local speech-to-text without sending audio to a third party.
- You need a fallback workflow when a built-in transcription tool fails.
- You want an operator guide for compiling and running `whisper.cpp`.

## Prerequisites

- `git`
- `cmake`
- a C or C++ compiler
- `ffmpeg`

## Build steps

```bash
git clone --depth 1 https://github.com/ggerganov/whisper.cpp.git ~/whisper.cpp
cd ~/whisper.cpp
cmake -B build -DCMAKE_BUILD_TYPE=Release
cmake --build build -j4
```

Download a model from the official `ggerganov/whisper.cpp` releases or Hugging Face repository and place it under `~/whisper.cpp/models/`.

## Standard transcription flow

```bash
ffmpeg -y -i input_audio.ogg -ar 16000 -ac 1 -f wav /tmp/voice.wav
~/whisper.cpp/build/bin/whisper-cli \
-m ~/whisper.cpp/models/ggml-large-v3.bin \
-f /tmp/voice.wav \
-l auto \
--no-timestamps
```

## Fallback workflow

If a higher-level tool fails, first locate the exact cache or upload path used by that tool. Search only within the expected application cache directory instead of scanning the entire home directory.

## Cloud fallback

If local transcription is too slow or unavailable, use an approved speech API and tell the user that audio will leave the machine.

## Guardrails

- Download binaries and models only from official sources.
- Verify hashes when possible.
- Do not search unrelated directories for audio files.
- Be explicit when using a cloud provider because that changes the privacy model.

_meta.json

{
  "ownerId": "kn7a6qzk16ny6zj2a6ge10exrn82q9qp",
  "slug": "whisper-voice-transcription",
  "version": "1.1.1",
  "publishedAt": 1776836645082
}

skill-card.md

## Description:

Build and use whisper.cpp for local speech-to-text workflows, with optional cloud fallback when local transcription is not practical.

This skill is ready for commercial/non-commercial use.

## Publisher:

[xuxuclassmate](https://clawhub.ai/user/xuxuclassmate)

### License/Terms of Use:

MIT-0

## Use Case:

Developers, engineers, and operators use this skill to build whisper.cpp, prepare audio, run local speech-to-text transcription, and choose an approved cloud fallback when local transcription is not practical.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: Building third-party code from a moving upstream branch can change the behavior or trust boundary of local transcription over time.

Mitigation: Pin whisper.cpp to a known release or commit before building and review updates before adopting them.

Risk: Downloaded transcription models may be tampered with or may not match the intended source.

Mitigation: Download models only from official sources and verify hashes when available.

Risk: Using a fixed temporary audio path can expose private audio or leave sensitive files behind.

Mitigation: Use a unique private temporary file for each transcription and remove it after use.

Risk: Cloud transcription fallback sends audio outside the local machine.

Mitigation: Use cloud fallback only with user acceptance and an approved speech API.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/xuxuclassmate/skills/whisper-voice-transcription)
- [whisper.cpp](https://github.com/ggerganov/whisper.cpp)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, configuration, guidance]

**Output Format:** [Markdown guidance with inline shell commands]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [None]

## Skill Version(s):

1.1.1 (source: artifact frontmatter and server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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