remix-and-reference

remix-and-reference is a skill for Claude Code, Codex from guvense/hellyee. It costs 124 tokens per session (1,225 once invoked), scanned A, original, MIT.

Een verzameling workflows voor muziekproductie in Ableton, een programma voor opnemen en mixen. Ze laten je een commercieel referentienummer analyseren of een aangeleverd nummer uit losse sporen, zoals zang en drums, opnieuw opbouwen.

In plain words
What is it for?
Voor het analyseren van tempo, toonsoort en geluidsniveaus, het importeren van referentiemuziek, het vergelijken van mixen en het scheiden en remixen van zang, drums, bas en andere partijen.
Why use it?
Het maakt vergelijken met een bestaand nummer en het werken met afzonderlijke muzieklagen overzichtelijker. Een referentienummer kan daarbij apart en gedempt blijven zodat het niet in de uiteindelijke mix terechtkomt.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/guvense/hellyee/remix-and-reference
Any agent
npx skills add guvense/hellyee --skill remix-and-reference
Clone the repo
git clone --depth 1 https://github.com/guvense/hellyee

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 remix-and-reference

README.md
[![agentmods](https://agentmods.dev/badge/skills/guvense/hellyee/remix-and-reference.svg)](https://agentmods.dev/skills/guvense/hellyee/remix-and-reference)
Your own site
<a href="https://agentmods.dev/skills/guvense/hellyee/remix-and-reference"><img src="https://agentmods.dev/badge/skills/guvense/hellyee/remix-and-reference.svg" alt="Measured on agentmods" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,225 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00124 $0.01225
Opus 5 $0.00062 $0.00613
Sonnet 5 $0.00025 $0.00245
Haiku 4.5 $0.00012 $0.00122

Measured 3d ago against content hash 2428a72a1f2e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

remix-and-reference 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 3d 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.

.claude/skills/remix-and-reference/SKILL.md · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Remix & Reference

Both workflows stand on three tools: analyze_audio_file (offline: key, tempo, levels, band energies), separate_stems (demucs), and import_audio (file → User Library → session clip, with the view/indexing dance handled).

Reference channel

Producers keep a finished commercial track on a muted channel and check their mix against it. The hellyee version:

  1. analyze_audio_file(reference) first — key, tempo, band_energy_pct and crest ratio are the comparison targets.
  2. import_audio(reference, track_name="REF"), then immediately set_mixer(ref_track, mute=True). A reference must never play in the mix or reach a render.
  3. A/B by solo: to audition, set_mixer(ref_track, mute=False, solo=True) and fire its clip; to return, solo off + mute on. Warn the user: the reference passes through the master chain too, so they hear it limited — for honest comparison offer to temporarily disable master devices ("Device On" = 0) during the A/B, and restore after.
  4. Level-match before judging anything: play the reference solo, measure the master meter; play the drop, measure again. Louder always sounds "better" — match within ~0.02 before comparing character.
  5. Spectral comparison is offline, not live. The API cannot render or spectrum-analyze the project; compare the reference's band_energy_pct against what you know of the mix (which tracks occupy which bands, from their filters/EQ) and against per-track meters. State plainly this is analysis + inference, not a measured spectrum of the user's master.
  6. Typical use of the numbers: reference has 25% sub+bass and your bass region reads thin → raise bass/kick region or tame lowmid; reference crest_ratio 6 vs your obviously-dynamic master → more limiting for that target, and vice versa.

Remix workflow

The user provides a song and instructions ("vocals only over a new techno beat", "halftime flip of the drop"). The pipeline:

  1. Analyze the sourceanalyze_audio_file: its key, tempo, and where its energy lives. Report findings before touching anything.
  2. Separateseparate_stems(path) → vocals / drums / bass / other (or two_stems=True for vocals + instrumental). Takes 30–90 s for a full song; say so.
  3. Import the stems the plan needs — one import_audio per stem, each on its own named track (VOCAL STEM, DRUM STEM…). Mute the ones not in use rather than skipping them; the user may change their mind.
  4. Decide the tempo relationship and say it out loud:
    • Project follows source (set_tempo to the source's tempo) — safest, stems play natural.
    • Source follows project — needs warping; auto-warp guesses wrong tempos on stems, so leave clips unwarped for rubato material (vocals) and prefer tempo-matching the project instead. Never toggle warp on→off (region clamp — see the hellyee skill).
  5. Key: new musical material follows the stem's key (get_scale_notes), or transpose the stem ±(≤3) semitones with set_audio_clip(pitch_coarse=…) — more sounds artifacted. The same tool's gain sits a stem into the mix without re-exporting it. An autotune plugin locked to the target scale (MAutoPitch, per-note switches) covers vocal drift.
  6. Rebuild with the genre-blueprints skill for the target style, treat imported stems as first-class layers: EQ them into their slot (high-pass a vocal stem at ~120 Hz; a drum stem fights your kick — carve or use only its top via steep high-pass), give vocals reverb/delay via sends.
  7. Arrange — stems are long clips; place segments by bar using place_in_arrangement, silence sections of a stem with gap clips over the unwanted bars.
  8. Balance and master by measurement as always. If the remix should sit against the original, the original is the reference channel — run the reference workflow with it.

Read the full file on GitHub · 86 lines

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. 3d ago First seen · 86 lines · 124 tokens per session scan A 2428a72a1f2e

Subscribe to this mod's changes

remix-and-reference is a skill published in the GitHub repository guvense/hellyee (6 stars, last pushed 12d ago), licensed MIT. It adds 124 tokens to every session and 1,225 once invoked, about $0.0006 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 2026-08-31.

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