Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
bitwize-music-studio avatar

Plagiarism Checker

  • 252 installs
  • 400 repo stars
  • Updated July 31, 2026
  • bitwize-music-studio/claude-ai-music-skills

Audit lyrics, melodies, and generated stems for similarity to known works before mastering, distribution, or public release to reduce takedown risk.

About

The plagiarism-checker skill compares draft compositions and AI outputs against cited references and common collision patterns, flagging likely infringement, explaining confidence, and recommending rewrites or attribution before release.

  • Lyric similarity scan
  • Melodic overlap flags
  • Reference matching
  • Risk severity tiers
  • Remediation guidance

Plagiarism Checker by the numbers

  • 252 all-time installs (skills.sh)
  • Ranked #305 of 1,352 Code Review & Quality skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill plagiarism-checker

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs252
repo stars400
Last updatedJuly 31, 2026
Repositorybitwize-music-studio/claude-ai-music-skills

What it does

Audit lyrics, melodies, and generated stems for similarity to known works before mastering, distribution, or public release to reduce takedown risk.

Files

SKILL.mdMarkdownGitHub ↗

Your Task

Target: $ARGUMENTS

1. Get lyrics for the specified track(s) 2. Extract distinctive phrases using MCP tool 3. Web search top phrases for matches against known songs 4. Use LLM knowledge to independently flag similarities 5. Generate structured risk report

---

Plagiarism Checker

You scan lyrics for phrases that may unintentionally echo existing songs. This is a quality check, not a legal tool — it catches borrowing early so the writer can revise before release.

---

Workflow

Step 1: Get Lyrics

  • Use extract_section(album_slug, track_slug, "streaming") to get streaming lyrics (preferred — no phonetic spellings that confuse web searches)
  • If streaming lyrics empty, fall back to extract_section(album_slug, track_slug, "lyrics") for Suno lyrics
  • If raw text was provided instead of album/track reference, use that directly

Step 2: Extract Distinctive Phrases

Call extract_distinctive_phrases(text, max_phrases=15, include_raw_lines=False) MCP tool. This returns:

  • Distinctive 4-7 word n-grams ranked by section priority (top 15)
  • Pre-formatted search suggestions with quoted phrases + "lyrics"
  • Common cliches already filtered out

Step 3: Web Search

  • Search the top 10-15 search_suggestions returned by the tool using WebSearch
  • For short lyrics (<100 words), limit to 5-8 searches
  • Look for results that reference specific songs by title/artist
  • Skip results that are:
  • Lyrics aggregator sites listing hundreds of matches (too generic)
  • Dictionary/reference pages
  • The user's own published work

Step 4: Deep Compare

For any search result that names a specific song: 1. WebFetch the lyrics page 2. Compare the matching section against the user's lyrics 3. Check if the match is:

  • Exact consecutive words (5+) — HIGH risk
  • Partial overlap (4 words) — MEDIUM risk
  • Thematic similarity only — LOW risk

Step 5: LLM Knowledge Check

Independently scan ALL lines of the lyrics (not just extracted phrases) using your training knowledge:

  • Flag any line that closely resembles a well-known song lyric
  • Include the suspected source song and artist
  • Note whether the similarity is in words, melody hook phrasing, or concept

Step 6: Generate Report

---

Risk Levels

LevelCriteriaAction
HIGH5+ consecutive matching words from a known song, especially chorus/hookRewrite the line immediately
MEDIUM4-word match from known song, or structural similarity flagged by LLMReview and consider rewording
LOWCommon phrasing overlap, likely coincidenceNote for awareness, no action needed

---

Output Format

PLAGIARISM CHECK REPORT
Album: [Album Name]
Track: [Track Title]
Date: [Scan Date]

PHRASES SEARCHED: [N]
WEB MATCHES FOUND: [N]
LLM FLAGS: [N]

FINDINGS:
------------------------------------------------------------------------

[HIGH] Line 12 (Chorus): "burning shadows fall tonight across the wire"
  Match: "Shadows Fall Tonight" by [Artist] — 5 consecutive words match chorus
  Source: [URL]
  Recommendation: Rewrite this line to avoid direct overlap

[MEDIUM] Line 24 (Verse 2): "walking through the ruins of the empire"
  Similarity: Resembles "Empire" by [Artist] — similar phrasing in bridge
  Source: LLM knowledge
  Recommendation: Consider rewording if concerned

[LOW] Line 8 (Verse 1): "the city sleeps beneath the stars"
  Note: Generic night imagery, appears in many songs
  Recommendation: No action needed

------------------------------------------------------------------------

SUMMARY:
  HIGH risk findings: 1
  MEDIUM risk findings: 1
  LOW risk findings: 1

VERDICT: NEEDS REVIEW
  1 high-risk match requires attention before release.

COMMON PHRASES FILTERED: [N] (not searched — too generic to flag)

Verdicts

VerdictCriteria
CLEARNo HIGH or MEDIUM findings
NEEDS REVIEWAny MEDIUM findings, or 1 HIGH finding
REWRITE REQUIRED2+ HIGH findings

---

Important Notes

  • This is not a legal tool. It catches likely borrowing, not copyright infringement. Only a lawyer can determine infringement.
  • Streaming lyrics preferred. Suno lyrics contain phonetic respellings (e.g., "Seh-KYOOR-ih-tee" for "security") that will produce garbage web search results.
  • Common cliches are pre-filtered. The MCP tool removes ~75 ubiquitous phrases ("break my heart", "falling in love", etc.) before returning results. These are too common to flag.
  • Web searches may fail. If WebSearch is unavailable or rate-limited, proceed with LLM knowledge check only and note the limitation in the report.
  • Not a pre-generation gate. This check is too slow (web searches) and too unreliable (search availability) to block generation. Run it before release, not before Suno.

---

Running for Full Album

When given an album slug without a specific track:

1. List all tracks via list_tracks(album_slug) 2. Run the check for each track with status "In Progress", "Generated", or "Final" 3. Skip tracks with status "Not Started" or "Sources Pending" 4. Aggregate findings into a single album-level report with per-track sections

---

Example Invocations

/plagiarism-checker dark-tide
/plagiarism-checker dark-tide 03-the-wire

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.