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Agent Skill · 研究检索

voice-quality-audition(语音质量试听)

用于辅助安全审计、权限检查、凭据风险、认证流程和常见漏洞排查。它适合让 Agent 梳理敏感配置、检查依赖风险、分析鉴权逻辑或生成安全复核清单。使用时不能把工具输出直接当最终结论,涉及密钥、令牌、用户数据或生产系统时,应先确认最小权限、脱敏方式和操作边界。

voice-quality-audition 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,权限为需要联网;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 37,839。

总安装 1,663周安装 70GitHub Stars 38下载 582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:voice-quality-audition(语音质量试听)
来源仓库:https://github.com/terrylica/cc-skills
仓库路径:skills/voice-quality-audition
安装命令:
npx skills add https://github.com/terrylica/cc-skills --skill voice-quality-audition
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/terrylica/cc-skills --skill voice-quality-audition

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。

用于评估语音输出质量,检测清晰度、自然度与情感表达效果。适合配音演员试音、AI 语音产品迭代前的试听环节。归类为研究检索类工具,输出结果需结合主观听感综合判断。不建议直接依赖自动化评分替代人工审听。voice-quality-audition 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/voice-quality-audition

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/terrylica/cc-skills --skill voice-quality-audi…;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

    它需要需要联网,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

voice-quality-audition 怎么安装?

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

voice-quality-audition 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。

voice-quality-audition 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

voice-quality-audition 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。

voice-quality-audition 用的人多吗?

公开数据是累计安装 1,663 次,近一周安装 70 次,下载 582 次,GitHub 38 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。

voice-quality-audition 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

  • 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

  • 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
voice-quality-audition

语音质量试听 · 本页

1,66338需要联网未明确有提醒

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

Voice Quality Audition

Compare Kokoro TTS voice quality across all available voices. Runs tts_kokoro_audition.sh which plays a passage with each top voice. Each voice announces its name before reading the passage. Uses clipboard text or a default passage.

Platform: macOS (Apple Silicon)

Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

When to Use This Skill

  • Audition all available Kokoro voices to hear quality differences
  • Compare specific voices side-by-side for a project
  • Re-evaluate voice grades after a Kokoro engine upgrade
  • Select a new default voice for TTS_VOICE_EN or TTS_VOICE_ZH
  • Test how a particular passage sounds across multiple voices

Requirements

  • Kokoro TTS engine installed and healthy (kokoro-install.sh --health)
  • Apple Silicon Mac with MLX Metal available
  • afplay available (ships with macOS)
  • Audition script at plugin scripts/tts_kokoro_audition.sh
  • Shared library at plugin scripts/lib/tts-common.sh

Voice Catalog

Voice IDNameGradeGender
af_heartHeartAFemale
af_bellaBellaA-Female
af_nicoleNicoleB-Female
af_aoedeAoedeC+Female
af_koreKoreC+Female
af_sarahSarahC+Female
am_adamAdamF+Male
am_michaelMichaelunratedMale
am_echoEchoDMale
am_puckPuckunratedMale

Current defaults (configured in ~/.claude/automation/claude-telegram-sync/mise.toml):

  • English voice: af_heart (Grade A) via TTS_VOICE_EN
  • Chinese voice: zf_xiaobei via TTS_VOICE_ZH
  • macOS say fallback EN: Samantha via TTS_VOICE_SAY_EN
  • macOS say fallback ZH: Ting-Ting via TTS_VOICE_SAY_ZH

See Voice Catalog for detailed characteristics and grade criteria.


Workflow Phases

Phase 1: Preflight

Verify Kokoro is installed and healthy:

kokoro-install.sh --health

All 6 checks must pass (venv, Python 3.13, mlx_audio importable, kokoro_common.py, tts_generate.py, version.json).

Phase 2: Text Selection

The audition script reads from the macOS clipboard (pbpaste). If the clipboard is empty or not text, it falls back to a built-in passage about reading in a library.

To audition with custom text, copy the desired passage to the clipboard before running.

Phase 3: Ask User — Full or Selective Audition

Use AskUserQuestion to determine scope:

  • Full audition — Play all 10 voices sequentially (takes several minutes)
  • Select specific voices — Run only a subset (e.g., top 3 female voices)

For a selective audition, edit the VOICES array in the script or pass voice IDs manually.

Phase 4: Execute Audition

~/.local/bin/tts_kokoro_audition.sh

Or directly from the plugin source:

/path/to/plugins/tts-tg-sync/scripts/tts_kokoro_audition.sh

The script acquires the TTS lock, plays each voice sequentially with a 1-second gap, then releases the lock on exit.

Phase 5: Feedback

Use AskUserQuestion to collect the user's preference:

  • Which voice sounded best?
  • Any voices to eliminate from future consideration?
  • Should we update grade assignments?

Phase 6: Apply Configuration

Optionally update the default voice in mise.toml:

# ~/.claude/automation/claude-telegram-sync/mise.toml
[env]
TTS_VOICE_EN = "af_heart"   # Change to preferred voice ID
TTS_VOICE_ZH = "zf_xiaobei"

After changing mise.toml, restart the Telegram bot for the new voice to take effect.


TodoWrite Task Templates

1. [Preflight] Verify Kokoro TTS is installed and healthy (kokoro-install.sh --health)
2. [Text] Check clipboard for passage, fall back to default if empty
3. [Select] Ask user: full audition (all 10 voices) or specific voices
4. [Audition] Run tts_kokoro_audition.sh and let user listen
5. [Feedback] Ask user which voice they prefer and collect grade feedback
6. [Apply] Optionally update TTS_VOICE_EN in mise.toml and restart bot

Post-Change Checklist

  • Kokoro health check passed before audition
  • All selected voices played without errors
  • User confirmed preferred voice
  • mise.toml updated with new voice ID (if changed)
  • Bot restarted after configuration change (if applicable)
  • Voice catalog grades updated in reference doc (if re-graded)

Troubleshooting

IssueCauseSolution
No audio playsKokoro not installedRun kokoro-install.sh --install or use full-stack-bootstrap skill
Audio cuts off mid-sentenceTTS lock stolen by another processCheck for competing TTS processes: pgrep -la afplay
Voice sounds wrongInvalid voice ID in Kokoro modelVerify voice ID exists in VOICES array; check Kokoro version
Clipboard emptyNo text copiedScript uses default passage automatically; no action needed
"ERROR: Local Kokoro not found"Venv or script missingRun kokoro-install.sh --health to diagnose; --install to fix
FAILED for a specific voiceVoice not available in modelVoice may require a different Kokoro version; check model compatibility
Lock not releasedScript crashed without cleanupRemove stale lock: rm -f /tmp/kokoro-tts.lock
All voices sound identicalKokoro model not loaded properlyRe-download model: kokoro-install.sh --upgrade

Reference Documentation

  • Voice Catalog - Comprehensive voice listing with quality grades, characteristics, and selection guidance
  • Evolution Log - Change history for this skill

Post-Execution Reflection

After this skill completes, reflect before closing the task:

  1. Locate yourself. — Find this SKILL.md's canonical path (Glob for this skill's name) before editing. All corrections target THIS file and its sibling references/ — never other documentation.
  2. What failed? — Fix the instruction that caused it. If it could recur, add it as an anti-pattern.
  3. What worked better than expected? — Promote it to recommended practice. Document why.
  4. What drifted? — Any script, reference, or external dependency that no longer matches reality gets fixed now.
  5. Log it. — Every change gets an evolution-log entry with trigger, fix, and evidence.

Do NOT defer. The next invocation inherits whatever you leave behind.



平台分布

Codex

31.08%
按下载量换算181

Claude

31.11%
按下载量换算181

Cursor

18.73%
按下载量换算109

Gemini CLI

9.21%
按下载量换算54

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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