audio

audio is a skill for Claude Code, Codex from autonomous-ai/autonomous-os. It costs 36 tokens per session (938 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

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/autonomous-ai/autonomous-os/audio
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.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.svg" alt="Measured on agentmods" 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 938 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 5.1 $0.00036 $0.00938
Opus 5 $0.00018 $0.00469
Sonnet 5 $0.00007 $0.00188
Haiku 4.5 $0.00004 $0.00094

Measured 5d ago against content hash c36fc4990968, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 5d 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 · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 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. Optionally check device availability first: GET /audio
  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 · 102 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. 5d 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 (272 stars, last pushed yesterday), licensed Apache-2.0. It adds 36 tokens to every session and 938 once invoked, about $0.0002 per session on Opus 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.

Related

Other skills, from other repositories

rosclaw-simforge

Safely install, validate, diagnose, and optimize ROSClaw simulation workflows across MuJoCo/MJWarp, ROS 2 rosbridge, turtlesim, Gazebo, Isaac Sim, Isaac Lab multi-GPU training, MCP, and the signed ROSClaw Hub. Use for evidence-backed physical-AI smoke tests, 4-GPU validation, simulator integration, Hub upload/download…

ros-claw/rosclaw · 97 tokens

rosclaw-embodied

Skill "rosclaw-embodied" from ros-claw/rosclaw, covering rosclaw 具身任务纪律, 权威资产, 证据与验收 and 安全分层.

ros-claw/rosclaw · 50 tokens

optional-runtime-smokes

Use for LeWorldModel, GR00T, LeRobot, PushT robotics showcase, real-checkpoint smoke scripts, checkpoint building, and host-owned optional runtime dependencies. Keeps real-runtime validation explicit without adding heavy ML/robotics packages or artifacts to the base project.

AbdelStark/worldforge · 59 tokens

provider-adapter-development

Use for WorldForge provider work: adding adapters, changing capability declarations, promoting scaffolds, debugging provider failures, updating provider catalog docs, or touching LeWorldModel, GR00T, LeRobot, Cosmos-Policy, JEPA, Genie, or JEPA-WMS. Ensures capabilities remain truthful and optional runtimes stay…

AbdelStark/worldforge · 73 tokens

tui-development

Use for the robotics showcase Textual UI: report panes, launch helpers, screenshots, visual tests, and changes under src/worldforge/harness/tui.py or robotics view/rendering modules. Preserves the optional Textual boundary while keeping robotics flow logic testable without the TUI.

AbdelStark/worldforge · 63 tokens

rosclaw

Use when operating, validating, or changing ROSClaw physical-AI runtime workflows, especially CLI smoke tests, Practice evidence loops, body/runtime checks, MCP integration, MuJoCo sandbox verification, and safe ROS or hardware boundaries.

ros-claw/rosclaw · 50 tokens