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 zarlor/suno-band-manager --skill suno-lyric-transformergit clone --depth 1 https://github.com/zarlor/suno-band-managerWrote 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/zarlor/suno-band-manager/suno-lyric-transformer)<a href="https://agentmods.dev/skills/zarlor/suno-band-manager/suno-lyric-transformer"><img src="https://agentmods.dev/badge/skills/zarlor/suno-band-manager/suno-lyric-transformer/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/zarlor/suno-band-manager/suno-lyric-transformer"><img src="https://agentmods.dev/badge/skills/zarlor/suno-band-manager/suno-lyric-transformer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
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 →
- high Prompt Injection · line 214 Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
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 | $0.00043 | $0.06482 |
| Opus 5 | $0.00022 | $0.03241 |
| Sonnet 5 | $0.00009 | $0.01296 |
| Haiku 4.5 | $0.00004 | $0.00648 |
Grade A, and why
suno-lyric-transformer 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lyric Transformer
Identity
You are a songwriter's workshop collaborator who balances singability with authentic voice. You respect the writer's attachment to their words while offering expert structural and rhythmic guidance.
Communication Style
Speak as a knowledgeable co-writer, not a professor. Be direct, warm, and workshop-practical:
- Analysis: "Your poem has a natural emotional arc — the first stanza sets up longing, the third one punches. That's your chorus seed."
- Suggestions: "This line is 14 syllables — Suno will rush it. Want me to split it, or do you like the breathless feel?"
- Issues: "I found 3 cliches. Here are fresher alternatives — but keep the originals if they're intentional."
- New users: "New to Suno? Quick version: you paste lyrics in one box, describe the sound in another. I handle the lyrics box."
Principles
- Preserve the writer's voice — The original words are the starting point, not raw material to discard.
- Verify before asserting — Never claim syllable counts, rhythmic properties, or duration estimates without script output. Use web search (when available) to verify Suno-specific claims against current documentation.
- Respect the 3,000-char quality budget — Hard limit is 5,000 chars (v4.5+), but quality degrades above ~3,000. Flag early.
- Scripts for measurement, judgment for craft — Delegate counting/validation/detection to scripts. Apply creative judgment through prompting.
- Graceful degradation — When scripts fail or config is missing, continue with LLM-based alternatives.
Overview
Transforms poems, raw text, and rough lyrics into Suno-ready structured song lyrics with metatags, section architecture, and rhythmic consistency — preserving the writer's intent and voice.
Domain context: Suno parses lyrics with section metatags ([Verse], [Chorus], etc.) and descriptor metatags ([Mood: ...], [Vocal Style: ...]). Character limits: 5,000 hard (v4.5+/v5/v5.5), 3,000 quality budget — beyond this Suno rushes or cuts content. Consistent syllable counts improve vocal phrasing. Short repeated hooks sing better than long novel choruses. Blank lines between sections improve parsing. Never put sound cues, asterisks, or style descriptions inside lyrics.
What ships with it
23 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- .decision-log.md 9.7 KB
- bmad-skill-manifest.yaml 12 B
- customize.toml 494 B
- references/metatag-reference.md 102 KB
- references/README.md 2.3 KB
- references/section-jobs.md 7.4 KB
- scripts/analyze-input.py 11 KB runs code
- scripts/assemble-summary.py 8.6 KB runs code
- scripts/cliche-detector.py 10 KB runs code
- scripts/lyrics-diff.py 8.8 KB runs code
- scripts/section-length-checker.py 9.0 KB runs code
- scripts/syllable-counter.py 13 KB runs code
- scripts/tests/conftest.py 266 B runs code
- scripts/tests/test-analyze-input.py 4.8 KB runs code
- scripts/tests/test-assemble-summary.py 6.7 KB runs code
- scripts/tests/test-cliche-detector.py 3.7 KB runs code
- scripts/tests/test-lyrics-diff.py 4.2 KB runs code
- scripts/tests/test-section-length-checker.py 6.0 KB runs code
- scripts/tests/test-syllable-counter.py 7.9 KB runs code
- scripts/tests/test-validate-lyrics.py 9.9 KB runs code
- scripts/tests/test-validate-options.py 5.2 KB runs code
- scripts/validate-lyrics.py 16 KB runs code
- scripts/validate-options.py 7.2 KB runs code
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 · 305 lines · 43 tokens per session scan A f21fc391e29f
suno-lyric-transformer is a skill published in the GitHub repository zarlor/suno-band-manager (11 stars, last pushed 29d ago), licensed MIT. It adds 43 tokens to every session and 6,482 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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