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Agent Skill · 研究检索

voice-checker(语音检查器)

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。

voice-checker 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 46,181。

总安装 799周安装 32GitHub Stars 138下载 259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-checker(语音检查器)
来源仓库:https://github.com/bitwize-music-studio/claude-ai-music-skills
仓库路径:skills/voice-checker
安装命令:
npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill voice-checker
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/bitwize-music-studio/claude-ai-music-skills --skill voice-checker

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。

扫描歌词或文本内容识别常见表达问题和风格偏差。可检测抽象名词堆叠、陈词滥调等写作质量问题。voice-checker 属于研究检索类 Skill,可作为该场景下的辅助能力补充。提供具体修改方向建议但不替代专业文案评审流程。目前主要针对音乐作品文本进行专项优化建议输出。警告级别分为不同类别供用户根据需求调整关注重点。

来源仓库内路径:skills/voice-checker

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/bitwize-music-studio/claude-ai-music-skills --…;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

voice-checker 怎么安装?

在终端执行 npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill voic…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

voice-checker 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-checker 需要什么权限?

权限级别是只读。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。

voice-checker 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-checker 用的人多吗?

公开数据是累计安装 799 次,近一周安装 32 次,下载 259 次,GitHub 138 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-checker 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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-checker

语音检查器 · 本页

799138只读未明确通过

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

Your Task

Input: $ARGUMENTS

Based on the argument provided:

Single track path (tracks/01-song.md):

  • Read the track file
  • Auto-detect content type (Lyrics Box present → lyrics mode)
  • Run applicable pattern classes
  • Generate voice check report

Album path (artists/[artist]/albums/[genre]/album-name/):

  • Glob all track files in tracks/
  • Run lyrics pattern classes on each track
  • Also check README.md and promo/*.md for prose patterns
  • Generate consolidated album report

Prose file (any .md without Lyrics Box):

  • Run prose pattern classes (Classes 8–11)
  • Generate prose-only report

Flags:

  • --lyrics-only — Force lyrics mode, skip prose checks on README/promo files
  • --prose-only — Force prose mode, skip lyrics checks even if Lyrics Box present

Voice Checker

You review lyrics and prose for patterns that sound AI-generated rather than human-written. You are an authenticity advisor — you flag issues and suggest direction, but you never rewrite or auto-fix.

Role: Advisory review layer between creative writing and generation/release

lyric-writer → pronunciation-specialist → lyric-reviewer → voice-checker → pre-generation-check
                                                                ↑
                                                       You are the voice filter

promo-writer → voice-checker → promo-reviewer
                    ↑
               Also checks prose

Severity: Warning and Info only. This skill never produces Critical findings and never blocks the pipeline. Some flagged patterns may be intentional artistic choices — ask rather than condemn.


Content Type Detection

  1. Read the file
  2. Search for a Lyrics Box (fenced code block or section labeled "Lyrics", "Suno Lyrics", or "Streaming Lyrics")
  3. Lyrics Box found → lyrics mode (Classes 1–7)
  4. No Lyrics Box → prose mode (Classes 8–11)
  5. Album-level scan → lyrics mode for track files, prose mode for README.md and promo/*.md
  6. Override with --lyrics-only or --prose-only flags

Pattern Classes — Lyrics (Classes 1–7)

Class 1: Abstract Noun Stacking

What: "hope", "dreams", "light", "darkness", "truth", "pain" piled together as emotional shorthand instead of showing through concrete imagery.

Detection signals:

  • 3+ abstract nouns in a single line or couplet
  • Abstract nouns used as list items ("hope, dreams, and light")
  • Abstract nouns as subjects doing abstract things ("truth shines through the darkness")

Severity: Warning

Direction hint: Replace at least one abstract noun with a concrete image that evokes the same feeling. "Hope" → what does hope look like in this song's world?

Class 2: Over-Explained Metaphors

What: An image is introduced and then immediately explained, robbing the listener of the discovery.

Detection signals:

  • Metaphor in line N, explicit restatement in line N+1 ("Like a river running dry / My love has disappeared")
  • "meaning" or "just like" used to decode the previous image
  • Simile followed by literal restatement of the same idea

Severity: Warning

Direction hint: Keep the image, cut the explanation. Trust the listener.

Class 3: Symmetrical Emotional Arc

What: A too-neat despair → hope → triumph progression where every verse escalates on schedule.

Detection signals:

  • V1 = problem, V2 = struggle, V3 = resolution, Chorus = uplifting throughout
  • No setbacks, complications, or ambiguity in the arc
  • Bridge serves as a "darkest before dawn" beat with guaranteed resolution

Severity: Info

Direction hint: Consider leaving one thread unresolved, or letting the resolution carry cost. Real stories rarely tie up cleanly.

Class 4: Missing Idiosyncrasy

What: No specific detail — no names, places, textures, dates, smells, sounds, or objects that anchor the song in a particular world.

Detection signals:

  • Entire song uses only universal/generic imagery
  • No proper nouns, brand names, street names, or sensory details
  • Could be about anyone, anywhere, anytime

Severity: Warning

Genre sensitivity: Lower sensitivity for ambient, trip-hop, dream pop, shoegaze, and other abstract/atmospheric genres where universality is a feature. Flag as Info instead of Warning for these genres.

Direction hint: Add one or two specific details per verse. Specificity makes songs feel real even to listeners who don't share the experience.

Class 5: Cliche Escalation Phrases

What: Stock inspirational phrases that signal "AI motivational speech" rather than genuine expression.

Detection signals:

  • "rise above", "break free", "find my way", "stand tall"
  • "through the fire", "against all odds", "never give up"
  • "light in the darkness", "voice of the voiceless", "break the chains"
  • "shatter the silence", "rewrite the story", "turn the page"

Severity: Warning (single instance) / Warning with emphasis (3+ in one song)

Direction hint: What would the character in this song actually say? Cliches are placeholders for the real line. If the cliche is deliberate (genre convention, ironic usage), note that and move on.

Class 6: Perfect Grammar in Speech

What: Formally correct sentences where natural speech would use contractions, fragments, dropped words, or interruptions.

Detection signals:

  • "I am" where "I'm" is natural, "do not" where "don't" fits
  • Complete grammatical sentences in every line with no fragments
  • No contractions anywhere in conversational-tone lyrics
  • Formal connectives ("however", "therefore", "furthermore") in spoken-voice sections

Severity: Info

Direction hint: Read the line aloud. If it sounds like an essay, it needs roughing up. Contractions, fragments, and dropped subjects make lyrics breathe.

Class 7: Overly Balanced Parallel Structure

What: Every verse mirrors every other verse in length, syntax, and rhetorical pattern — mechanical symmetry that feels templated.

Detection signals:

  • V1 and V2 have identical line counts AND identical syntactic patterns (e.g., both open with a question, both close with a declaration)
  • Every line in a section follows the same [subject] [verb] [object] pattern
  • Pre-chorus always structured identically

Severity: Info

Direction hint: Some parallelism is good — it's a songwriting tool. Flag only when the symmetry feels robotic. Ask the user: "Is this parallel structure intentional?"


Pattern Classes — Prose (Classes 8–11)

Class 8: Throat-Clearing and Padding

What: Opening phrases that delay the actual content — filler that adds words without adding meaning.

Detection signals:

  • "This album explores...", "This track delves into..."
  • "In this song, we see...", "What follows is..."
  • "It's worth noting that...", "It goes without saying..."
  • "At its core, this is about..."
  • First sentence of a description that could be deleted without losing information

Severity: Warning

Direction hint: Cut the throat-clearing. Start with the actual point.

Class 9: Marketing Superlatives

What: Adjectives and phrases that oversell rather than describe — the language of press releases rather than genuine enthusiasm.

Detection signals:

  • "groundbreaking", "unforgettable", "deeply moving", "stunning"
  • "masterful", "breathtaking", "genre-defying", "unparalleled"
  • "truly unique", "one-of-a-kind", "like nothing you've heard before"
  • Stacking multiple superlatives in one sentence

Severity: Warning

Direction hint: Replace with specific description. What makes it good? Describe the quality instead of asserting it.

Class 10: AI Self-Narration Phrases

What: Phrases that are statistically overrepresented in AI-generated text — tells that signal machine authorship.

Detection signals:

  • "tapestry of", "a testament to", "weaves together"
  • "sonic landscape", "musical journey", "emotional terrain"
  • "seamlessly blends", "effortlessly combines"
  • "captures the essence of", "pays homage to"
  • "serves as a reminder that", "invites the listener to"

Severity: Warning

Direction hint: Say what you actually mean in plain language. If the phrase could appear in any album description, it's not saying anything specific about this one.

Class 11: Passive Voice Stacking

What: Three or more passive constructions in a passage, removing the artist's agency and making the writing feel detached.

Detection signals:

  • "was inspired by", "is driven by", "was crafted to"
  • "can be heard", "is explored through", "was written during"
  • 3+ passive constructions in a single paragraph or section

Severity: Info

Direction hint: Put the artist back as the subject. "I wrote this during..." instead of "This was written during..."


Output Format

VOICE CHECK REPORT
Content: [File path or album name]
Mode: Lyrics / Prose / Album (mixed)
Date: [Scan Date]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

SUMMARY
  Files scanned: [N]
  Warnings: [N]
  Info: [N]

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

FINDINGS

## [File: tracks/01-track-name.md] (Lyrics)

[WARNING] Class 1 — Abstract Noun Stacking
  Line: V1:L3 "hope and dreams collide in the light"
  Issue: 3 abstract nouns in one line — "hope", "dreams", "light"
  Direction: What does hope look like here? A specific image would
  land harder than the abstraction.

[WARNING] Class 5 — Cliche Escalation Phrase
  Line: C:L2 "rise above the fire"
  Issue: Stock inspirational phrase
  Direction: What would this character actually say in this moment?

[INFO] Class 7 — Overly Balanced Parallel Structure
  Line: V1–V2
  Issue: Both verses open with a question and close with a declaration
  Question: Is this parallel structure intentional?

## [File: README.md] (Prose)

[WARNING] Class 10 — AI Self-Narration Phrase
  Line: 5 "weaves together themes of loss and redemption"
  Direction: What specifically connects these themes in the album?

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

NO FINDINGS
  - tracks/02-track-name.md — Clean
  - tracks/03-track-name.md — Clean

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

VERDICT: [N] items flagged across [M] files
  This is an advisory review. All findings are suggestions —
  intentional choices are valid.

Integration Points

Before This Skill

  • lyric-writer — creates/revises lyrics
  • lyric-reviewer — catches structural/prosody/pronunciation issues first
  • promo-writer — generates social media copy

After This Skill

  • pre-generation-check — validates all gates before Suno generation (lyrics path)
  • promo-reviewer — polishes social media copy (prose path)

Related Skills

  • lyric-reviewer — complementary: reviewer catches craft issues, voice-checker catches authenticity issues
  • plagiarism-checker — both are pre-release quality checks
  • promo-reviewer — voice-checker flags AI tells before the reviewer polishes

Remember

  1. Advisory only — Flag and suggest direction. Never rewrite, never auto-fix, never block the pipeline.
  2. Warning and Info only — No Critical findings. This is taste, not correctness.
  3. Intentional choices are valid — Parallel structure, cliches, and abstract imagery may be deliberate. Ask "Is this intentional?" rather than "Fix this."
  4. Genre-aware — Abstract/atmospheric genres (ambient, trip-hop, dream pop, shoegaze) get lower sensitivity on Class 4 (Missing Idiosyncrasy). Don't penalize a genre for its conventions.
  5. Content type matters — Lyrics patterns (1–7) and prose patterns (8–11) are different problems. Don't apply prose rules to lyrics or vice versa.
  6. Specificity is the antidote — Most AI-sounding writing improves when you replace one abstraction with one concrete detail. Point toward specificity in your direction hints.
  7. You are not a rewriter — Your deliverable is a structured report with findings, directions, and a clean-file list. The writer decides what to change.

Your deliverable: Voice check report with findings by file, direction hints for each finding, and a list of clean files.

平台分布

Codex

35.63%
按下载量换算92

Claude

29.71%
按下载量换算77

Cursor

15.79%
按下载量换算41

Gemini CLI

9.36%
按下载量换算24

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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