Borrowing it
Nothing to install: this file belongs to guvense/hellyee. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/guvense/hellyee/main/.claude/skills/remix-and-reference/SKILL.mdgit clone --depth 1 https://github.com/guvense/hellyeeWrote 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/guvense/hellyee/remix-and-reference)<a href="https://agentmods.dev/skills/guvense/hellyee/remix-and-reference"><img src="https://agentmods.dev/badge/skills/guvense/hellyee/remix-and-reference/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/guvense/hellyee/remix-and-reference"><img src="https://agentmods.dev/badge/skills/guvense/hellyee/remix-and-reference.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 | $0.00124 | $0.01225 |
| Opus 5.5 | $0.00050 | $0.00490 |
| Sonnet 5.5 | $0.00025 | $0.00245 |
| Haiku 4.5 | $0.00012 | $0.00122 |
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 2mo 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 — 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:
analyze_audio_file(reference)first — key, tempo, band_energy_pct and crest ratio are the comparison targets.import_audio(reference, track_name="REF"), then immediatelyset_mixer(ref_track, mute=True). A reference must never play in the mix or reach a render.- 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. - 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.
- Spectral comparison is offline, not live. The API cannot render or
spectrum-analyze the project; compare the reference's
band_energy_pctagainst 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. - 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:
- Analyze the source —
analyze_audio_file: its key, tempo, and where its energy lives. Report findings before touching anything. - Separate —
separate_stems(path)→ vocals / drums / bass / other (ortwo_stems=Truefor vocals + instrumental). Takes 30–90 s for a full song; say so. - Import the stems the plan needs — one
import_audioper 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. - Decide the tempo relationship and say it out loud:
- Project follows source (
set_tempoto 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).
- Project follows source (
- Key: new musical material follows the stem's key (
get_scale_notes), or transpose the stem ±(≤3) semitones withset_audio_clip(pitch_coarse=…)— more sounds artifacted. The same tool'sgainsits a stem into the mix without re-exporting it. An autotune plugin locked to the target scale (MAutoPitch, per-note switches) covers vocal drift. - 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.
- 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. - 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.
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.
- 2mo ago First seen · 86 lines · 124 tokens per session scan A 2428a72a1f2e
remix-and-reference is a skill published in the GitHub repository guvense/hellyee (9 stars, last pushed 2mo ago), licensed MIT. It adds 124 tokens to every session and 1,225 once invoked, about $0.0005 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 2026-08-31.
remix-and-reference compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| remix-and-referenceguvense/hellyee | Skill | 9 | 2mo ago | MIT | A | 124 | Claude Code |
| mastering-chainrohailaltaf/claude-ableton | Skill | 6 | 4mo ago | MIT | A | 76 | Claude Code |
| opik-diagnosecomet-ml/opik-mcp | Skill | 225 | 9d ago | Apache-2.0 | A | 187 | Claude Code |
| ue-mcp-epic-routingdb-lyon/ue-mcp | Skill | 476 | yesterday | MIT | A | 81 | Claude Code, Codex |
| qa-knowledgegriddynamics/rosetta | Skill | 370 | yesterday | Apache-2.0 | A | 32 | Claude Code, Codex |
| apitapn1byn1kt/apitap | Skill | 131 | 17d ago | Apache-2.0 | A | 0 | Claude Code, Codex |
| frontmcp-setupagentfront/frontmcp | Skill | 148 | yesterday | Apache-2.0 | A | 176 | Claude Code, Codex |