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Agent skill

Voice Checker

by bitwize-music-studio in bitwize-music-studio/claude-ai-music-skills

Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells).

CC0-1.0Auto-check passedWriting & Content

Install Voice Checker

skills CLI
$ npx skills add bitwize-music-studio/claude-ai-music-skills --skill voice-checker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bitwize-music-studio/claude-ai-music-skills voice-checker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/voice-checker .claude/skills/voice-checker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
voice-checker
GitHub stars
544
Token cost
~3.2k tokens
SKILL.md length
1,375 words
Files
1
Skills in repo
51
Repo updated
First seen
Licence
CC0-1.0

At a glance

Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells).

  • Works in 6 steps: Read the file → Search for a Lyrics Box (fenced code… → Lyrics Box found → lyrics mode (Classes… → …
  • Reviewing lyrics for authenticity
  • SKILL.md covers Your Task, Content Type Detection, Pattern Classes — Lyrics… and Pattern Classes — Prose…, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Voice Checker is an agent skill from bitwize-music-studio/claude-ai-music-skills. Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells). Advisory Warning/Info severity — flags issues, does not block or rewrite. Use when reviewing lyrics for authenticity or before generation to catch AI-sounding language.

Its SKILL.md is about 3.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Writing & Content, covering Humanizing AI text. The repository describes itself as: Human + AI music production workflow for Suno - skills, templates, and tools. The licence is CC0-1.0.

When your agent uses it

  • Reviewing lyrics for authenticity
  • Before generation to catch AI-sounding language

Example prompts

  • “Use the voice-checker skill to review lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation…”
  • “/voice-checker”

Requirements

  • Pre-approved tools (allowed-tools): Read, Glob, Grep

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 58f32c2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Voice Checker loads about 3.2k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 1,375 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~3.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from bitwize-music-studio/claude-ai-music-skills at commit 58f32c2, republished under its CC0-1.0 licence (© bitwize-music-studio). 1,375 words, ~3,170 tokens.

Download SKILL.mdSave it as .claude/skills/voice-checker/SKILL.md (or your agent's skills folder).
name
voice-checker
description
Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells). Advisory Warning/Info severity — flags issues, does not block or rewrite. Use when reviewing lyrics for authenticity or before generation to catch AI-sounding language.
allowed-tools
Read, Glob, Grep
argument-hint
<track-path | album-path | prose-path> [--lyrics-only | --prose-only]
model
sonnet
effort
high

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?"

Show full SKILL.md (537 more words)Show less

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)
  • 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.

© bitwize-music-studio, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/voice-checker of bitwize-music-studio/claude-ai-music-skills.

Open the folder on GitHubat commit 58f32c2

Compare with similar skills

Voice Checker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Voice Checker compared with similar skills
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HumanizerAzure-Samples/interview-coach-agent-framework17338 repos~5.8kAutomated safety check: PassMIT
Avoid AI Writingconorbronsdon/avoid-ai-writing4.9k3 repos~8.1kAutomated safety check: PassMIT
User-Facing Text Cleanupguillaumemeyer/watermarks-remover24k—~3.5kAutomated safety check: PassMIT
Install Anti Sloptrycompai/crm11k1 repos~881Automated safety check: PassMIT
Stop SlopXe/site7328 repos~423Automated safety check: PassMIT

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Categories

Questions about Voice Checker

What does Voice Checker do?

Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells). Voice Checker is an agent skill from bitwize-music-studio/claude-ai-music-skills. Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells).

When should I use Voice Checker?

Voice Checker fits situations like: reviewing lyrics for authenticity; before generation to catch AI-sounding language.

How do I install Voice Checker in Claude Code?

Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill voice-checker -a claude-code`. Or copy the skill folder (skills/voice-checker in bitwize-music-studio/claude-ai-music-skills) into .claude/skills/voice-checker in your project. Claude Code loads it when a task matches its description.

How do I install Voice Checker in Codex?

Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill voice-checker -a codex`. Or copy the skill folder (skills/voice-checker in bitwize-music-studio/claude-ai-music-skills) into .agents/skills/voice-checker in your project. Codex loads it when a task matches its description.

Can I use Voice Checker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill voice-checker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/voice-checker, .gemini/skills/voice-checker, .github/skills/voice-checker and .opencode/skills/voice-checker in your project.

What does Voice Checker need to run?

SKILL.md names no scripts, command-line tools or credentials: Voice Checker is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep.

Does Voice Checker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Voice Checker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Voice Checker use?

Voice Checker is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Voice Checker use?

About 3.2k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Voice Checker?

Skills that share tags, products or a category with Voice Checker: Humanizer (Azure-Samples/interview-coach-agent-framework, 173 stars), Avoid AI Writing (conorbronsdon/avoid-ai-writing, 4.9k stars), User-Facing Text Cleanup (guillaumemeyer/watermarks-remover, 24k stars) and Install Anti Slop (trycompai/crm, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Voice Checker?

bitwize-music-studio (a GitHub organization) maintains it in bitwize-music-studio/claude-ai-music-skills, which has 544 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 7, 2026.

Source: bitwize-music-studio/claude-ai-music-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.