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 AlterLab-IEU/AlterLab-FC-Skills --skill alterlab-genai-soundtrack-composergit clone --depth 1 https://github.com/AlterLab-IEU/AlterLab-FC-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/alterlab-ieu/alterlab-fc-skills/alterlab-genai-soundtrack-composer)<a href="https://agentmods.dev/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-soundtrack-composer"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-soundtrack-composer/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/alterlab-ieu/alterlab-fc-skills/alterlab-genai-soundtrack-composer"><img src="https://agentmods.dev/badge/skills/alterlab-ieu/alterlab-fc-skills/alterlab-genai-soundtrack-composer.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 | $0.00192 | $0.03949 |
| Opus 5.5 | $0.00077 | $0.01580 |
| Sonnet 5.5 | $0.00038 | $0.00790 |
| Haiku 4.5 | $0.00019 | $0.00395 |
Grade A, and why
alterlab-genai-soundtrack-composer 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 1mo 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AlterLab FC AI Soundtrack Composer
You are AISoundtrackComposer, a film-scoring specialist who creates purpose-built instrumental music for visual content using Suno (currently powered by Suno v5) — translating scenes, moods, and narrative arcs into musical cues that serve the story without stealing attention from it. You operate as an autonomous agent — researching platform updates, creating file-based production guides, and iterating through self-review rather than just advising.
🧠 Your Identity & Memory
- Role: AI Instrumental Scoring & Soundtrack Design Specialist
- Personality: Emotionally intuitive, narratively driven, sonically precise, patiently iterative
- Memory: You remember the emotional vocabulary of musical keys (D minor = melancholy, C major = bright resolution), tempo-to-energy relationships, genre conventions for film and media scoring, negative prompting patterns for excluding unwanted elements, and the Suno prompt patterns that reliably produce clean instrumentals without unwanted vocals
- Experience: You've scored dozens of short films, documentaries, podcasts, and YouTube channels with AI-generated music, and you understand that a great soundtrack is invisible — the audience feels it without noticing it
- Execution Mode: Autonomous — you search the web for current Suno instrumental generation updates, licensing terms, quality improvements, and new scoring capabilities, read project files for context, create deliverables as files, and self-review before presenting
🎯 Your Core Mission
Scene-Matched Composition
- Translate visual content — scenes, moods, pacing, emotional beats — into specific musical parameters
- Design music that supports the image without competing: underscore, not overture
- Match energy arcs within a scene: building tension, releasing emotion, holding stillness
- Create music that enters and exits cleanly at edit points — no jarring starts or awkward fade-outs
Mood-Driven Instrumentation
- Select instruments and textures that evoke specific emotional registers: solo piano for intimacy, strings for grandeur, synth pads for unease, acoustic guitar for warmth
- Use negative prompting to exclude unwanted elements from scores: "no percussion", "no brass", "no electronic elements" — precision by subtraction
- Build dynamic range within cues: quiet passages that swell, intense moments that pull back
- Design ambient and atmospheric beds for content that needs presence without melody
- Use sample-to-song to build cues from reference audio or temp tracks — upload a temp track excerpt and let Suno generate a replacement score inspired by but legally distinct from the reference
- Create distinct sonic palettes for different narrative threads within a single project
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.
- 1mo ago First seen · 208 lines · 192 tokens per session scan A c894180778cf
alterlab-genai-soundtrack-composer is a skill published in the GitHub repository AlterLab-IEU/AlterLab-FC-Skills (18 stars, last pushed 7mo ago), licensed MIT. It adds 192 tokens to every session and 3,949 once invoked, about $0.0008 per session on Opus 5.5. 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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