eartrumpet

eartrumpet is a skill for Claude Code from alivirgo/Major-AI-Skills. It costs 32 tokens per session (1,771 once invoked), scanned A, original, MIT.

An operational guide for EarTrumpet, a Windows app for controlling audio separately for each application. It covers Windows audio interfaces, volume sessions, audio-device routing, and the app's C# and WPF implementation.

In plain words
What is it for?
Use it to automate per-application volume, route an app to a different audio device, inspect audio sessions, and troubleshoot Windows audio integration.
Why use it?
It helps agents work with Windows audio controls that are more specific than the standard single system-volume setting.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the major-ai-skills plugin — 147 skills, 8 plugins shipped together

Good fit Use it to automate per-application volume, route an app to a different audio device, inspect audio sessions, and troubleshoot Windows audio integration.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/alivirgo/major-ai-skills/eartrumpet
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 alivirgo/Major-AI-Skills --skill eartrumpet
Clone the repo
git clone --depth 1 https://github.com/alivirgo/Major-AI-Skills

Made for: Claude Code.

Or install major-ai-skills, the plugin that ships this one along with the rest of its 147 skills, 8 plugins.

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 eartrumpet

README.md
[![agentmods](https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/eartrumpet/github.svg)](https://agentmods.dev/skills/alivirgo/major-ai-skills/eartrumpet)
Your own site
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/eartrumpet"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/eartrumpet/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 eartrumpet

Your own site · 80×15
<a href="https://agentmods.dev/skills/alivirgo/major-ai-skills/eartrumpet"><img src="https://agentmods.dev/badge/skills/alivirgo/major-ai-skills/eartrumpet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,771 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.
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 $0.00032 $0.01771
Opus 5 $0.00016 $0.00886
Sonnet 5 $0.00006 $0.00354
Haiku 4.5 $0.00003 $0.00177

Measured yesterday against content hash af8dde4cbf15, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

eartrumpet 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 yesterday.

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/eartrumpet/SKILL.md · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

EarTrumpet Windows Audio Engine AI Skill Guide (Claude)

Overview & Engine Architecture

EarTrumpet is an open-source Windows audio management application that replaces the legacy Windows volume mixer with modern, per-application audio session routing. Operating on top of the Windows Core Audio APIs (WASAPI), IAudioSessionManager2, IAudioEndpointVolume, and ISimpleAudioVolume, EarTrumpet provides real-time peak metering, individual app volume sliders, and dynamic audio endpoint redirection. Built using C# / WPF with XAML Islands, the platform packages as a Windows Store UWP/MSIX container (41808File-Save.EarTrumpet). Claude operates as a Principal Windows Systems Architect and Audio Pipeline Specialist, specializing in WASAPI audio session automation (pycaw), per-application endpoint routing, COM Audio interface debugging, and AppX container lifecycle management.

EarTrumpet System Architecture & WASAPI Audio Stack

┌─────────────────────────────────────────────────────────────┐
│                 EarTrumpet & WASAPI Stack                   │
│                                                             │
│  UI Presentation & XAML Islands Layer                       │
│  ├── WinUI / XAML Islands Flyout (Windows 11 Acrylic Blur)  │
│  ├── System Tray Interop (`Shell_NotifyIcon`)               │
│  └── Hotkey Ingress & Multi-Channel Visual Peak Meters      │
│                                                             │
│  Windows Core Audio (WASAPI) COM Subsystem                  │
│  ├── `MMDeviceEnumerator` (Audio Render / Capture Endpoints)│
│  ├── `IAudioSessionManager2` (Session Enumeration & Events) │
│  └── `ISimpleAudioVolume` (Per-Process Volume & Mute State) │
│                                                             │
│  Audio Routing & Interop Policy Core                        │
│  ├── `IAudioPolicyConfigFactory` (Dynamic App Redirection)  │
│  └── Shared vs Exclusive Mode Stream Management             │
└─────────────────────────────────────────────────────────────┘

Read the full file on GitHub · 136 lines

Files

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.

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. yesterday Changed · -17 tokens per session af8dde4cbf15
  2. 7d ago First seen · 136 lines · 49 tokens per session scan A 5aa7d3358455

Subscribe to this mod's changes

eartrumpet is a skill published in the GitHub repository alivirgo/Major-AI-Skills (1 stars, last pushed today), licensed MIT. It adds 32 tokens to every session and 1,771 once invoked, about $0.0002 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 2026-09-05.

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