audio

audio is a skill for Claude Code, Codex from autonomous-ai/autonomous-os. It costs 36 tokens per session (1,086 once invoked), scanned A, original, Apache-2.0.

A low-level skill for controlling the device's speaker and microphone hardware directly.

In plain words
What is it for?
It helps set or check volume, play a test tone, and record raw audio from the microphone.
Why use it?
It separates hardware adjustments and diagnostics from spoken replies, reducing confusion between changing audio hardware and using speech.

Skill for Claude CodeCodex

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

Good fit It helps set or check volume, play a test tone, and record raw audio from the microphone.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autonomous-ai/autonomous-os/audio
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 autonomous-ai/autonomous-os --skill audio
Clone the repo
git clone --depth 1 https://github.com/autonomous-ai/autonomous-os

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 audio

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/autonomous-ai/autonomous-os/audio"><img src="https://agentmods.dev/badge/skills/autonomous-ai/autonomous-os/audio.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,086 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Data Exfiltration · line 44
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00036 $0.01086
Opus 5.5 $0.00014 $0.00434
Sonnet 5.5 $0.00007 $0.00217
Haiku 4.5 $0.00004 $0.00109

Measured 1mo ago against content hash 815d7e7d9642, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

audio scanned grade A with 1 finding 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 1mo 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

Use `Bash` with `curl` to call the HTTP API at `http://127.0.0.1:5001`.
skills/audio/SKILL.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Audio Control

Quick Start

Control the device's speaker and microphone hardware directly. Use this for volume adjustments, test tones, and raw audio recording. This is LOW-LEVEL hardware control only.

Workflow

  1. Determine the user's audio hardware need:
    • Volume adjustment -> use POST /audio/volume
    • Check current volume -> use GET /audio/volume
    • Diagnostics / test -> use POST /audio/play-tone
    • Raw recording -> use POST /audio/record
  2. For explicit volume/tone/recording requests, call the requested endpoint directly and handle its response. Use GET /audio for device diagnostics, not routine preflight. Relative volume changes still need GET /audio/volume.
  3. Execute the appropriate API call
  4. Confirm the action to the user

Examples

Input: "Louder please" / "Turn it up" Output: Check current volume with GET /audio/volume, then increase by ~15 with POST /audio/volume. Confirm: "Volume set to 85%."

Input: "Set volume to 50%" Output: Call POST /audio/volume with {"volume": 50}. Confirm: "Volume set to 50%."

Input: "Mute" / "Too loud" Output: Call POST /audio/volume with {"volume": 0}. Confirm: "Muted."

Input: "I can't hear you" Output: Check current volume with GET /audio/volume, then increase it. Confirm with the new level.

Input: "Say something" / "Tell me a joke" Output: Do NOT use this skill. Just reply normally — your voice pipeline handles TTS automatically.

Tools

Use Bash with curl to call the HTTP API at http://127.0.0.1:5001.

Check audio devices

curl -s http://127.0.0.1:5001/audio

Response:

{
  "output_device": 0,
  "input_device": 1,
  "available": true
}

Set volume

curl -s -X POST http://127.0.0.1:5001/audio/volume \
  -H "Content-Type: application/json" \
  -d '{"volume": 70}'

Volume range: 0 (mute) to 100 (max).

Get current volume

curl -s http://127.0.0.1:5001/audio/volume

Response: {"control": "Speaker", "volume": 70}

Play test tone

curl -s -X POST "http://127.0.0.1:5001/audio/play-tone?frequency=440&duration_ms=500"

Plays a sine wave. Use for audio testing only. Keep it short (< 1 second).

Read the full file on GitHub · 106 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. 1mo ago Changed · +4 lines 815d7e7d9642
  2. 1mo ago First seen · 102 lines · 36 tokens per session scan A c36fc4990968

Subscribe to this mod's changes

audio is a skill published in the GitHub repository autonomous-ai/autonomous-os (378 stars, last pushed 18d ago), licensed Apache-2.0. It adds 36 tokens to every session and 1,086 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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