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audio-ptbr-autoreply音频 ptbr 自动回复

Agent Skill

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

总安装

5,809

周安装

247

GitHub Stars

公开资料未说明

下载量

2,035
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:audio-ptbr-autoreply(音频 ptbr 自动回复)
来源仓库:https://github.com/henrique-simoes/audio-ptbr-autoreply
安装命令:
openclaw skills install audio-ptbr-autoreply
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install audio-ptbr-autoreply

简介

专为OpenClaw设计的巴西葡语语音自动回复解决方案。

  • 本地wav2vec2模型实现离线转录,保障隐私数据安全。
  • 默认调用本地代理生成回复,支持自定义应答逻辑配置。
  • 需验证本地计算资源是否满足实时处理要求。
  • audio-ptbr-autoreply 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
audio-ptbr-autoreply
version
2.1.3
description
|
category
voice
tags
triggers
description
Selecionar voz ou listar vozes
action
bash process.sh --voice-command "{{args}}"
config
tools
media
audio
scope
default
allow

Audio PT Auto-Reply 🎙️🇧🇷

Talk to your OpenClaw agent in Brazilian Portuguese, and get a voice reply back.

That is the whole idea.

You send an audio message. The skill transcribes it locally. Your OpenClaw agent answers. The answer comes back as audio. 🔊

No big platform. No weird magic. Just a small, useful voice loop for people who would rather speak than type.

Why this exists ✨

Typing is not always the best way to talk to an agent.

Sometimes you are on your phone. Sometimes you are walking. Sometimes you are doing something else. Sometimes voice just feels more natural.

Audio PT Auto-Reply gives OpenClaw a simple PT-BR voice workflow that feels closer to messaging a person than operating a tool.

It is especially useful for Telegram-style interactions, accessibility workflows, quick mobile replies, and hands-busy situations.

What it does 🧩

Audio PT Auto-Reply adds a focused voice pipeline to OpenClaw:

  • 🎧 transcribes Brazilian Portuguese audio locally with jonatasgrosman/wav2vec2-large-xlsr-53-portuguese
  • 🧠 asks your local OpenClaw agent to generate a short reply by default
  • ☁️ can optionally use Anthropic only when ANTHROPIC_API_KEY is set
  • 🗣️ turns the answer into speech with local Piper voices
  • 🎚️ lets you choose voices with /voz
  • 🩺 includes a health check so setup problems are easier to find

What it does not do 🚧

This skill is intentionally small and careful.

It does not request sudo. It does not install system packages behind your back. It does not modify other skills. It does not read unrelated files. It does not upload audio files to third-party services. It does not ship a public automatic audio hook that expands untrusted template values inside a shell command.

That last part matters.

Earlier hook-based builds were too easy to make risky because values like {{MediaPath}} could be expanded by the platform into a shell command before the skill code had a chance to validate them.

So this build keeps the useful part, the voice pipeline, and removes the risky public hook surface. Safer, cleaner, easier to review. 🛡️

Privacy model 🔒

By default, the skill is local-first:

  • audio transcription runs locally
  • speech synthesis runs locally
  • response generation uses the local OpenClaw CLI
  • audio files are not uploaded by this skill

Optional external mode:

  • if ANTHROPIC_API_KEY is present, transcript text may be sent to Anthropic for response generation
  • audio is still not uploaded by this skill
  • unset ANTHROPIC_API_KEY to keep response generation local

Install ⚙️

Run:

bash install.sh

The installer creates a virtualenv inside the skill directory, installs Python dependencies there, downloads Piper, downloads PT-BR voices, writes the default voice config, and runs a health check.

It expects these system dependencies to already exist:

python3
ffmpeg
tar
curl or wget

If something is missing, the installer stops and tells you what to install manually.

Use 🗣️

List available voices:

/voz listar

Choose a voice:

/voz jeff
/voz cadu
/voz faber
/voz miro
/voz feminina
/voz masculina

Process an audio file manually:

bash process.sh --audio-file /absolute/path/to/audio.ogg

When synthesis succeeds, the script prints a MEDIA: directive pointing to the generated voice reply.

Optional environment variables 🧰

ANTHROPIC_API_KEY     Enables Anthropic response generation
AUDIO_VOICE           Sets the default voice
RESPONSE_TIMEOUT      Response timeout in seconds, default 30
SYNTHESIS_TIMEOUT     Synthesis timeout in seconds, default 45
WORKSPACE             Overrides the OpenClaw workspace path
PYTHON_BIN            Overrides the Python executable used by install.sh

Safety note for hooks 🛡️

This public package does not register an automatic message.audio.receive hook.

That is deliberate.

Shell-templated hooks can become unsafe when the platform expands values like media paths, targets, or message IDs into a shell command string before your script receives them.

For public distribution, the safer choice is to ship the voice pipeline without that hook. LOCAL_HOOK_EXAMPLE.md exists only for local operators who understand the risk and want to wire a hook manually in a controlled environment.

Files included 📦

install.sh                         Installer with local virtualenv setup
process.sh                         Main voice-processing entry point
health_check.py                    Setup validation
LOCAL_HOOK_EXAMPLE.md              Local-only hook notes
requirements.txt                   Required Python dependencies
requirements-optional.txt          Optional Anthropic dependency
scripts/transcribe_universal.py    Local PT-BR transcription
scripts/claude_adapter.py          OpenClaw or optional Anthropic response generation
scripts/synthesize_universal.py    Piper TTS synthesis
scripts/voice_config.py            Voice selection storage

Good fit ✅

Use this skill if you want a small Portuguese voice loop for OpenClaw, especially when you care about local transcription, local speech synthesis, and a public package that avoids unnecessary permission creep.

It is not trying to be a full voice assistant platform.

It is just a focused voice-reply helper: audio in, agent response, audio out. 🎙️→🧠→🔊

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

93.03%
按下载量换算1,893

安全审计

VirusTotal

通过

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通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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