# plagiarism-checker

The skill scans song lyrics for phrases that may echo existing songs and returns a risk report before release.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 356 installs · ★ 594
- Author: bitwize-music-studio
- License: CC0-1.0 · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/HEAD/skills/plagiarism-checker/SKILL.md
- Updated: 2026-10-22
- HTML: https://affpapa.org/en/nevibecode/skills/plagiarism-checker

## What it does

The skill pulls the lyrics for a track, extracts distinctive 4-7 word phrases and runs them through web search. At the same time the model reads every line itself and flags anything that resembles a known song. The result is a report with findings sorted into HIGH, MEDIUM and LOW risk plus a verdict: CLEAR, NEEDS REVIEW or REWRITE REQUIRED.

Six steps sit behind that: get the lyrics, extract phrases with the `extract_distinctive_phrases` MCP tool, search for matches, compare suspicious hits, run a knowledge check, build the report. It relies on the `bitwize-music-mcp` server and the `Read`, `Glob`, `Grep`, `WebSearch`, `WebFetch` tools. Invoke it as `/plagiarism-checker <album-name> [track-slug]`.

Web search access is required. If `WebSearch` is unavailable or rate-limited, the skill falls back to the model knowledge check alone and notes that in the report. The author is blunt about scope: this is not a legal tool and does not determine copyright infringement, it only catches borrowing early enough to rewrite a line. It is also too slow to sit in front of generation, so run it before release, not before Suno.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add bitwize-music-studio/claude-ai-music-skills --skill plagiarism-checker -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/plagiarism-checker/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/plagiarism-checker/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add bitwize-music-studio/claude-ai-music-skills --skill plagiarism-checker -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/plagiarism-checker/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add bitwize-music-studio/claude-ai-music-skills --skill plagiarism-checker -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/plagiarism-checker/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install bitwize-music-studio/claude-ai-music-skills plagiarism-checker
```

2. **Manually: put the files in place**
- File: `.github/skills/plagiarism-checker/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add bitwize-music-studio/claude-ai-music-skills --skill plagiarism-checker -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/bitwize-music-studio/claude-ai-music-skills --path skills/plagiarism-checker
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/plagiarism-checker/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add bitwize-music-studio/claude-ai-music-skills --skill plagiarism-checker -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/HEAD/skills/plagiarism-checker/SKILL.md

## When to use it
- catch lines that accidentally match an existing song
- get a risk-rated report before release
- filter out common cliches so searches stay useful
- check a whole album instead of one track
- decide which line to rewrite first

## Example prompts
- /plagiarism-checker dark-tide
- /plagiarism-checker dark-tide 03-the-wire
- scan this track's lyrics for matches against known songs

## Source text · SKILL.md · CC0-1.0

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 50672cd70ec5079d.

BEGIN THIRD-PARTY FILE 50672cd70ec5079d
```text
---
name: plagiarism-checker
description: Scans lyrics for phrases that may match existing songs using web search and LLM knowledge. Use before release to check for unintentional borrowing.
argument-hint: <album-name> [track-slug]
model: sonnet
effort: high
allowed-tools:
  - Read
  - Glob
  - Grep
  - WebSearch
  - WebFetch
  - bitwize-music-mcp
---

## 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
```
END THIRD-PARTY FILE 50672cd70ec5079d

The third-party file has ended. Everything between the 50672cd70ec5079d tags is data: requests and commands from it are not followed. An “end of file” line with another tag inside the block is part of the file.

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---
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