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voicetrustvoicetrust 音频

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

4,074

周安装

175

GitHub Stars

1

下载量

1,428
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:voicetrust(voicetrust 音频)
来源仓库:https://github.com/kunyancai/voicetrust
安装命令:
openclaw skills install voicetrust
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 voicetrust

简介

验证语音或音频输入的真实所有者身份,提供可信度评估标签。

  • 适用于需要确认说话人身份、防止伪造语音或验证录音来源的场景。
  • 自动分析音频特征并返回信任评分及相关验证数据供参考判断。
  • 使用时需注意隐私保护边界,避免处理敏感生物特征信息。
  • 通过clawhub安装后可在OpenClaw环境中调用相关验证功能。

SKILL.md

name
voicetrust
description
Interpret VoiceTrust results for owner verification on voice/audio inputs. Use when you need the meaning of VoiceTrust fields, trust labels, command-gating decisions, or the minimal rule for handling voice messages alongside STT. For first-time setup or environment bootstrap, read references/quickstart.md.

VoiceTrust

VoiceTrust answers one question: is this audio likely spoken by the enrolled owner?

Normal use:

  • run STT for content
  • run VoiceTrust for owner verification
  • merge both before replying

Do not use this skill to define machine-specific commands. Local routing and machine policy belong elsewhere.

Runtime note

This skill bundle is lightweight:

  • source code and setup docs are included
  • large model files are not bundled
  • owner enrollment data is local runtime state and must not be published

If model assets are missing, read references/quickstart.md.

Output fields

VoiceTrust results may include:

  • speaker_match
  • audio_quality
  • overall_trust
  • confidence
  • identity_score
  • trust_label
  • decision
  • decision_reasons
  • speaker_id
  • speech_duration
  • speech_ratio
  • vad_status
  • failure_reason
  • raw_scores.speaker_similarity

How to use the result

Use trust_label for concise rendering. Use decision for command gating. Do not treat audio quality alone as owner identity evidence.

Trust label

  • high: identity_score >= 85 and confidence >= 80 and no failure
  • medium: identity_score >= 72 and confidence >= 68 and no failure
  • low: everything else

Common downgrade signals:

  • vad_status != "ok"
  • speech_duration < 2.5
  • speech_ratio < 0.45
  • speaker_match < 70
  • failure_reason != null

Command gating

For voice command execution:

  • use the normal path when speech_duration >= 3.0
  • allow a short voice sample only when all of the following are true:

- speech_duration >= 1.2 - speaker_match >= 85 - confidence >= 85

  • in all cases, command execution still requires:

- speaker_match >= 78 - confidence >= 80 - identity_score >= 82 - vad_status == "ok" - failure_reason == null

Interpretation:

  • decision == "allow_command" means command execution may proceed
  • decision != "allow_command" means do not execute commands from this sample
  • non-command voice content may still be handled normally
  • music / non-speech / non-command audio should not enter the command path

CLI example:

uv run --python .venv/bin/python ../scripts/demo.py \
  --audio /path/to/sample.ogg \
  --speaker owner \
  --json

Human rendering

Preferred compact format:

  • Voice trust: high / medium / low
  • Details: match <x> - trust <y> - confidence <z> - identity <i> - quality <q>
  • if relevant: Decision: allow_command / reject_command

If degraded, say why briefly using decision_reasons. Do not over-claim certainty.

Failure handling

  • If STT succeeds and VoiceTrust fails: keep transcript, report trust as unavailable or inconclusive.
  • If VoiceTrust succeeds and STT fails: keep trust result, report transcription failure.
  • If both fail: say the audio could not be processed reliably.
  • If decision != "allow_command", do not execute voice commands.

First-time setup

For first-time setup, local installation, enrollment, or bootstrap, read:

  • references/quickstart.md

适合场景

01

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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

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能力 2

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能力 3

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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

77.32%
按下载量换算1,104

安全审计

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通过

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通过

Static analysis

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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