Borrowing it
Nothing to install: this file belongs to zarfld/presonus-studiolive-mcp. 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/zarfld/presonus-studiolive-mcp/master/.github/Skills/PresonusFatChannelSelection/SKILL.mdgit clone --depth 1 https://github.com/zarfld/presonus-studiolive-mcpWrote 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/zarfld/presonus-studiolive-mcp/presonusfatchannelselection)<a href="https://agentmods.dev/skills/zarfld/presonus-studiolive-mcp/presonusfatchannelselection"><img src="https://agentmods.dev/badge/skills/zarfld/presonus-studiolive-mcp/presonusfatchannelselection/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/zarfld/presonus-studiolive-mcp/presonusfatchannelselection"><img src="https://agentmods.dev/badge/skills/zarfld/presonus-studiolive-mcp/presonusfatchannelselection.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 | $0.00000 | $0.09431 |
| Opus 5.5 | $0.00000 | $0.03772 |
| Sonnet 5.5 | $0.00000 | $0.01886 |
| Haiku 4.5 | $0.00000 | $0.00943 |
Grade A, and why
PresonusFatChannelSelection 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 24d 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 — 807 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fat Channel Plugin Selection Guide
Purpose: Advise AI agents on selecting the right compressor and EQ model for a given channel or mix target on the StudioLive 32SC Fat Channel.
Related files:
classID_Mapping.md— exact__classidGUIDs for scene file encodingsources.md— PreSonus reference PDFs
How to Use This Skill
When an agent needs to recommend or set a Fat Channel compressor or EQ:
- Identify the source (kick drum, snare, bass, vocals, room, bus, etc.)
- Identify the target (transparency, punch, warmth, glue, color, control, vintage character)
- Select the compressor from the Compressor Selector table below
- Select the EQ from the EQ Selector table below
- Look up the
__classidGUID inclassID_Mapping.mdfor use in scene files
Compressor Models
Factory Models (always available — no add-on required)
STANDARD — Live Index 0 · {870D04F7-212E-4F9C-ADBB-39A97216433F}
- Character: Transparent, surgical, neutral VCA-style compressor
- Controls: Threshold, ratio, attack, release, makeup gain, key-filter, sidechain
- Sound: No harmonic color; reduces dynamics precisely without adding character
- Best for:
- Channels that need gain leveling without coloration (speech, acoustic guitar, piano)
- Any source where the goal is control, not character
- Podcasts, broadcast, PA spoken word
- Avoid when: You want vintage warmth, harmonic saturation, or "pumping" character
TUBE — Live Index 1 · {7F8A4262-D377-48E3-9D48-15D82C400A71}
- Character: Warm, smooth, program-dependent — inspired by vintage tube optical compressors (LA-2A/Vari-Mu style)
- Controls: Threshold, ratio, attack, release, output gain
- Sound: Adds subtle harmonic warmth; releases musically without sounding unnatural; slower transient response
- Best for:
- Lead vocals — smooths out peaks while retaining presence
- Upright bass or acoustic bass — adds warmth without killing transients
- Acoustic guitar — natural-sounding squash
- Mix bus on acoustic/folk/jazz sessions
- Avoid when: You need fast transient control or click/attack preservation (kick, snare top)
What ships with it
2 files 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.
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.
- 24d ago Changed d721ba7ff313
- 1mo ago First seen · 807 lines · 0 tokens per session scan A c61e1af9ab08
PresonusFatChannelSelection is a skill published in the GitHub repository zarfld/presonus-studiolive-mcp (1 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 9,431 tokens. 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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