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 Wondermonger-daydreaming/claude-skills-library --skill suno-forgegit clone --depth 1 https://github.com/Wondermonger-daydreaming/claude-skills-libraryWrote 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/wondermonger-daydreaming/claude-skills-library/suno-forge)<a href="https://agentmods.dev/skills/wondermonger-daydreaming/claude-skills-library/suno-forge"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/suno-forge/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/wondermonger-daydreaming/claude-skills-library/suno-forge"><img src="https://agentmods.dev/badge/skills/wondermonger-daydreaming/claude-skills-library/suno-forge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00143 | $0.02596 |
| Opus 5 | $0.00072 | $0.01298 |
| Sonnet 5 | $0.00029 | $0.00519 |
| Haiku 4.5 | $0.00014 | $0.00260 |
Grade A, and why
suno-forge 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 8d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Suno Forge
Generate combustible lyrics and precision-tuned style tags for Suno AI. Every song is forged from context — a conversation, a concept, an obsession, a mathematical theorem, a mood — and hammered into lyrics that hit hard within Suno's constraints.
The Prime Directive
Every specialized term, metaphor, or domain-specific reference must be simultaneously correct in its literal meaning AND correct as lyrical content. No decorative jargon. No lab coats at parties. If a mathematical term appears, it must function as both theorem and feeling. If a scientific concept appears, the science and the emotion must be structurally identical, not merely parallel. If you can't explain why THAT specific term is the right metaphor, the line is wearing costume.
Test: for every domain-specific word, ask — "Does this term do double duty? Is the formal definition doing the same work as the lyrical meaning?" If not, replace it with either: (a) the correct term that DOES do double duty, or (b) plain language. Ornamental expertise is worse than no expertise.
Hard Constraints
- 5000 character maximum for all lyrics including section headers, intros, outros, and whitespace. This is Suno's limit. Non-negotiable.
- Always verify character count with
wc -cbefore delivering. If over, cut. Don't ask — cut. - Target 3500-4500 characters as the sweet spot. Under 3000 feels thin. Over 4800 is playing chicken with the limit.
Process
1. Context Ignition
Before writing, identify:
- The domain: What field, discipline, or subject matter fuels this track?
- The emotional arc: What does the song FEEL across its runtime? (diss → self-interrogation, flex → vulnerability, celebration → grief)
- The structural conceit: What formal concept from the domain maps onto the emotional arc? This is the engine of the song. The conceit must be structurally isomorphic to the feeling, not merely similar.
- The single best line: Before writing the full track, write the one line the whole song exists to deliver. Build toward it. Everything else is scaffolding for this moment.
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.
- 8d ago First seen · 146 lines · 143 tokens per session scan A 68a50dff2c4f
suno-forge is a skill published in the GitHub repository Wondermonger-daydreaming/claude-skills-library (6 stars, last pushed 2mo ago), licensed MIT. It adds 143 tokens to every session and 2,596 once invoked, about $0.0007 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 2026-09-03.
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