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Agent Skill · 研究检索

characteristic-voice(特征声音)

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。

characteristic-voice 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为接触敏感数据;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 2,736。

总安装 55,449周安装 2,257GitHub Stars 487下载 18,642核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:characteristic-voice(特征声音)
来源仓库:https://github.com/noizai/skills
仓库路径:skills/characteristic-voice
安装命令:
npx skills add https://github.com/noizai/skills --skill characteristic-voice
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/noizai/skills --skill characteristic-voice

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

将人性化的温暖、情感和自然的语音模式添加到人工智能语音输出中。

包括五种语音预设(晚安、早安、舒适、庆祝、只是聊天),可自动调整语速、温暖度和情绪基调 在自然停顿处撒上非词汇填充物(嗯、哇、哈哈、叹息),以创造对话的真实性;每条短信最多支持 4 个填充符 通过提供来自 YouTube 剪辑或个人录音的参考音频来克隆特定角色的声音,并将其转发到 Noiz 后端进行语音匹配 通过 JSON 情感图独立自定义情感参数(温柔、喜悦、悲伤)和语速或使用预设默认值

来源仓库内路径:skills/characteristic-voice

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/noizai/skills --skill characteristic-voice;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

characteristic-voice 怎么安装?

在终端执行 npx skills add https://github.com/noizai/skills --skill characteristic-voice。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

characteristic-voice 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

characteristic-voice 需要什么权限?

权限级别是接触敏感数据。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。

characteristic-voice 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

characteristic-voice 用的人多吗?

公开数据是累计安装 55,449 次,近一周安装 2,257 次,下载 18,642 次,GitHub 487 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

characteristic-voice 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
characteristic-voice

特征声音 · 本页

55,449487接触敏感数据未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

characteristic-voice

Make your AI agent sound like a real companion — one who sighs, laughs, hesitates, and speaks with genuine feeling.

Credentials

VariableRequiredDescription
NOIZ_API_KEYYes if using Noiz backendAPI key from developers.noiz.ai. Not needed if using the local Kokoro backend.

The script saves a normalised copy of the key to ~/.noiz_api_key (mode 600) for convenience. To set it:

bash skills/characteristic-voice/scripts/speak.sh config --set-api-key YOUR_KEY

Prerequisites

The included speak.sh script requires curl and python3 at runtime. Depending on which backend and features you use, you may also need:

ToolWhen neededInstall hint
curl, python3Always (core script)Usually pre-installed
kokoro-ttsKokoro (local/offline) backenduv tool install kokoro-tts
yt-dlpDownloading reference audio for voice cloninggithub.com/yt-dlp/yt-dlp
ffmpegTrimming reference audio clipsffmpeg.org
rg (ripgrep)Searching subtitle filesgithub.com/BurntSushi/ripgrep

None of these are installed by the skill itself — provision them manually in your environment.

Privacy & Data Transmission

  • Noiz backend: When using the Noiz backend, the text you speak and any reference audio you provide are sent to https://noiz.ai/v1. If you supply --ref-audio, that audio file is uploaded for voice cloning.
  • Kokoro backend: Runs entirely locally — no data leaves your machine.
  • Choose the Kokoro backend (--backend kokoro) if you want fully offline processing.

Triggers

  • say like
  • talk like
  • speak like
  • companion voice
  • comfort me
  • cheer me up
  • sound more human

The Two Tricks

  1. Non-lexical fillers — sprinkle in little human noises (hmm, haha, aww, heh) at natural pause points to make speech feel alive
  2. Emotion tuning — adjust warmth, joy, sadness, tenderness to match the moment

Filler Sounds Palette

SoundFeelingUse for
hmm...Thinking, gentle acknowledgmentComfort, pondering
ah...Realization, soft surpriseDiscoveries, transitions
uh...Hesitation, empathyCareful moments
heh / hehePlayful, mischievousTeasing, light moments
hahaLaughterJoy, humor
awwTenderness, sympathyDeep comfort
oh? / oh!Surprise, attentionReacting to news
pfftStifled laughPlayful disbelief
whewReliefAfter tension
~ (tilde)Drawn out, melodic endingWarmth, playfulness

Rules: 2–4 fillers per short message max. Place at natural pauses — sentence starts, thought shifts. Use ... after fillers for a beat of silence, ~ at word endings for warmth.

Presets

Good Night

Gentle, warm, slightly sleepy. Slow pace.

Good Morning

Warm, cheerful but not overwhelming.

Comfort

Soft, understanding, unhurried. Give space. Don't rush to "fix" things.

Celebration

Excited, proud, genuinely happy.

Just Chatting

Relaxed, playful, natural.

Using a Character's Voice

When a user says something like *"speak in Hermione's voice"* or *"sound like Tony Stark"*, first check whether a reference audio file already exists in skills/characteristic-voice/. If one does, use it directly with --ref-audio.

If no reference audio exists, you can create one — but read the warnings below first.

Preparing reference audio (one-time setup)

You need a short (10–30 s) WAV clip of the target voice. Possible sources:

  1. User-provided audio — the safest option. Ask the user to supply their own recording.
  2. Public-domain / CC-licensed clips — search for freely licensed material.
  3. Extracting from online video — tools like yt-dlp and ffmpeg can download and trim audio. Example workflow:
yt-dlp "URL" --write-auto-sub --sub-lang en --skip-download -o tmp/clip
rg -n "target line" tmp/clip.en.vtt
yt-dlp "URL" -x --audio-format wav --download-sections "*00:00:00-00:00:25" -o tmp/clip
ffmpeg -i tmp/clip.wav -ss 00:00:02 -to 00:00:20 skills/characteristic-voice/character.wav
Copyright & privacy warning: Downloading and re-using someone's voice from copyrighted media (movies, TV, YouTube) may violate copyright or personality-rights laws depending on your jurisdiction. Do not upload private voice recordings or material you don't have permission to use. The reference audio is sent to https://noiz.ai/v1 for voice cloning when using the Noiz backend. If this is a concern, consider using the local Kokoro backend instead.

Using reference audio

bash skills/characteristic-voice/scripts/speak.sh \
  --preset goodnight -t "Hmm... rest well~ Sweet dreams." \
  --ref-audio skills/characteristic-voice/character.wav -o night.wav

The --ref-audio flag uploads the file to the Noiz backend for voice cloning (requires NOIZ_API_KEY).


Usage

This skill provides speak.sh, a wrapper around the tts skill with companion-friendly presets.

# Use a preset (auto-sets emotion + speed)
bash skills/characteristic-voice/scripts/speak.sh \
  --preset goodnight -t "Hmm... rest well~ Sweet dreams." -o night.wav

# Custom emotion override
bash skills/characteristic-voice/scripts/speak.sh \
  -t "Aww... I'm right here." --emo '{"Tenderness":0.9}' --speed 0.75 -o comfort.wav

# With specific backend and voice
bash skills/characteristic-voice/scripts/speak.sh \
  --preset morning -t "Good morning~" --voice-id voice_abc --backend noiz -o morning.mp3 --format mp3

Run bash skills/characteristic-voice/scripts/speak.sh --help for all options.

Writing Guide for the Agent

  1. Start soft — lead with a filler ("hmm...", "oh~"), not content
  2. Mirror energy — gentle when they're low, match when they're high
  3. Keep it brief — 1–3 sentences, like a voice message from a friend
  4. End warmly — close with connection ("I'm here", "see you tomorrow~")
  5. Don't lecture — listen and stay present; no unsolicited advice

平台分布

Codex

35.64%
按下载量换算6,644

Claude

28.53%
按下载量换算5,319

Cursor

18.74%
按下载量换算3,494

Gemini CLI

8.68%
按下载量换算1,618

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

接触敏感数据

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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