music-supervision-scoring

music-supervision-scoring is a skill for Claude Code, Codex from calesthio/generative-media-skills. It costs 99 tokens per session (4,980 once invoked), scanned A, original, MIT.

Guidance for choosing, creating, licensing, editing, mixing, and checking music for audiovisual projects. It treats music as part of the story, timing, rights, and final audio mix.

In plain words
What is it for?
Making music plans, score briefs, licensed-track shortlists, AI-music prompts, cue-sheet drafts, mix handoffs, and music quality reviews for videos, ads, trailers, games, and documentaries.
Why use it?
It helps prevent music from competing with speech, captions, or audio description, and reduces problems caused by unclear rights or edits that change timing.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Making music plans, score briefs, licensed-track shortlists, AI-music prompts, cue-sheet drafts, mix handoffs, and music quality reviews for videos, ads, trailers, games, and documentaries.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/calesthio/generative-media-skills/music-supervision-scoring
Install

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.

Any agent
npx skills add calesthio/generative-media-skills --skill music-supervision-scoring
Clone the repo
git clone --depth 1 https://github.com/calesthio/generative-media-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for music-supervision-scoring

README.md
[![agentmods](https://agentmods.dev/badge/skills/calesthio/generative-media-skills/music-supervision-scoring/github.svg)](https://agentmods.dev/skills/calesthio/generative-media-skills/music-supervision-scoring)
Your own site
<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/music-supervision-scoring"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/music-supervision-scoring/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.

agentmods 80×15 button for music-supervision-scoring

Your own site · 80×15
<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/music-supervision-scoring"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/music-supervision-scoring.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,980 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.04980
Opus 5 $0.00049 $0.02490
Sonnet 5 $0.00020 $0.00996
Haiku 4.5 $0.00010 $0.00498

Measured 12d ago against content hash b6c94b209dd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

music-supervision-scoring 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.

skills/production/audio-craft/music-supervision-scoring/SKILL.md · 290 lines

How it starts

The opening of the file, as written. The whole thing — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Music supervision and scoring direction

Treat music as a production decision, not decoration. A strong music plan explains what the audience should feel, where music should enter and leave, what rights path is safe, how the cue will survive edit changes, and how the final mix will protect speech, captions, audio description, and delivery specs.

Use this skill to produce a music supervision plan, score brief, licensed-track shortlist, AI-music prompt, cue sheet draft, mix handoff, or music QA review for audiovisual work.

Evidence labels

Use these labels when making claims or giving recommendations:

  • Documented fact: supported by law, standards, official platform docs, PRO guidance, or other authoritative sources. Date volatile facts.
  • Empirical observation: based on inspecting the actual edit, stems, waveform, transcript, delivery specs, or generated outputs.
  • Production heuristic: a practical recommendation that often works but depends on the brief, audience, platform, and mix.

Do not turn a heuristic into a rule. For example, "trailer drums should always rise" is weak; "this trailer's second act needs rhythmic acceleration because the edit compresses from 3-second shots to 0.8-second shots" is useful.

First pass: define the music job

Before choosing music, answer these production questions:

  1. Deliverable: format, duration, target platform, aspect ratio, paid/organic use, territory, term, client/brand sensitivity, and whether this is editorial, commercial, internal, broadcast, festival, game, or social.
  2. Narrative function: what music must do that picture, edit, voice, and sound design cannot do alone.
  3. Rights path: original score, generated music, stock/library track, licensed commercial recording, public-domain composition with newly licensed recording, client-supplied track, or no music.
  4. Mix priority: dialogue/narration, on-screen sounds, sound effects, music, captions, audio description, and silence.
  5. Music identity: genre, tempo range, instrumentation, era, geography, performance texture, harmonic color, density, vocal/instrumental choice, and brand fit.
  6. Deliverables: full mix, instrumental, no-drums, no-lead, stems, loops, cutdowns, stings, alt endings, and cue sheet data.

Read the full file on GitHub · 290 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 12d ago First seen · 290 lines · 99 tokens per session scan A b6c94b209dd9

Subscribe to this mod's changes

music-supervision-scoring is a skill published in the GitHub repository calesthio/generative-media-skills (170 stars, last pushed 2mo ago), licensed MIT. It adds 99 tokens to every session and 4,980 once invoked, about $0.0005 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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