Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bitwize-music-studio/claude-ai-music-skills --skill lyric-refinergit clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/lyric-refiner)<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/lyric-refiner"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/lyric-refiner/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bitwize-music-studio/claude-ai-music-skills/lyric-refiner"><img src="https://agentmods.dev/badge/skills/bitwize-music-studio/claude-ai-music-skills/lyric-refiner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 5 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00036 | $0.03480 |
| Opus 5 | $0.00018 | $0.01740 |
| Sonnet 5 | $0.00007 | $0.00696 |
| Haiku 4.5 | $0.00004 | $0.00348 |
Grade A, and why
lyric-refiner scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 310 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Your Task
Input: $ARGUMENTS
Parse Arguments
- Identify target scope:
- If argument is an album name/slug → album mode (refine all tracks)
- If argument is a track file path → single-track mode (refine one track)
- Parse pass count: Look for
--passes N(default: 3, minimum: 1, maximum: 5)- If
--passes> 5, warn: "Diminishing returns beyond 5 passes — capping at 5."
- If
Instrumental Guard
When invoked with a single-track path, first check the track's frontmatter for instrumental: true or the Track Details table for **Instrumental** | Yes. If the track is instrumental:
- STOP and report: "This is an instrumental track — no lyrics to refine. Use
/bitwize-music:suno-engineerfor Style Box work." - Do NOT attempt to refine instrumental tracks.
In album mode, instrumental tracks are silently skipped with a one-line note (not blocking) — see the triage in "Resolve Album & Tracks" below. A mix of instrumental and vocal tracks on the same album is the normal case, not an error.
Resolve Album & Tracks
- Use
find_album(name)MCP tool to locate the album - Use
list_tracks(album_slug)to get all tracks - Triage every track into one of three buckets — the refiner only operates on the third:
- Instrumental — frontmatter
instrumental: trueor Track Details**Instrumental** | Yes→ skip, emitSkipping {track} — instrumental - Not ready — status
Not Started/Sources Pending, OR no Lyrics Box content → skip, emitSkipping {track} — no lyrics yet ({status}) - Refineable — vocal track with lyrics written → include in the refinement pass set
- Instrumental — frontmatter
- For album mode: read ALL refineable track lyrics before starting any refinement (full context needed for cohesion/unity passes). Instrumental and not-ready tracks do not need to be read.
- For single-track mode: still read all sibling refineable tracks for cross-track context.
Pre-flight Exits
These conditions end the run cleanly before any pass — they are informational, not errors. Report and exit; do not treat as a guard-clause failure.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 310 lines · 36 tokens per session scan A 84edf578b061
lyric-refiner is a skill published in the GitHub repository bitwize-music-studio/claude-ai-music-skills (483 stars, last pushed 2d ago), licensed CC0-1.0. It adds 36 tokens to every session and 3,480 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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