ha-voice

ha-voice is a skill for Claude Code from nodnarbnitram/claude-code-extensions. It costs 73 tokens per session (3,117 once invoked), scanned A, original, MIT.

A configuration guide for Home Assistant Assist, the voice-control system for smart homes. It covers the workflow from hearing speech to understanding commands and speaking a reply.

In plain words
What is it for?
Use it to set up voice pipelines, custom spoken commands, wake words, and local speech-to-text or text-to-speech with tools such as Whisper and Piper. It also helps configure voice satellites, which are remote devices that listen for commands.
Why use it?
It helps connect speech recognition, command handling, wake words, and spoken responses into one voice workflow. It also shows how to tailor commands to the devices and rooms in a home.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to set up voice pipelines, custom spoken commands, wake words, and local speech-to-text or text-to-speech with tools such as Whisper and Piper. It also helps configure voice satellites, which are remote devices that listen for commands.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nodnarbnitram/claude-code-extensions/ha-voice
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 nodnarbnitram/claude-code-extensions --skill ha-voice
Clone the repo
git clone --depth 1 https://github.com/nodnarbnitram/claude-code-extensions

Made for: Claude Code.

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 ha-voice

README.md
[![agentmods](https://agentmods.dev/badge/skills/nodnarbnitram/claude-code-extensions/ha-voice/github.svg)](https://agentmods.dev/skills/nodnarbnitram/claude-code-extensions/ha-voice)
Your own site
<a href="https://agentmods.dev/skills/nodnarbnitram/claude-code-extensions/ha-voice"><img src="https://agentmods.dev/badge/skills/nodnarbnitram/claude-code-extensions/ha-voice/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 ha-voice

Your own site · 80×15
<a href="https://agentmods.dev/skills/nodnarbnitram/claude-code-extensions/ha-voice"><img src="https://agentmods.dev/badge/skills/nodnarbnitram/claude-code-extensions/ha-voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,117 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 $0.00073 $0.03117
Opus 5.5 $0.00029 $0.01247
Sonnet 5.5 $0.00015 $0.00623
Haiku 4.5 $0.00007 $0.00312

Measured 1mo ago against content hash 48319b9d134d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ha-voice 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 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.

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.

.claude/skills/ha-voice/SKILL.md · 524 lines

How it starts

The opening of the file, as written. The whole thing — 524 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Home Assistant Voice Control

Configure Assist pipelines, custom intents, wake words, speech processing, and voice satellites for local voice control.

Quick Start

Setting up Assist Pipeline

# configuration.yaml
assist_pipeline:
  pipelines:
    - language: en
      name: Default Pipeline
      stt_engine: faster_whisper  # Local STT
      tts_engine: tts.piper       # Local TTS
      conversation_engine: conversation.home_assistant
      wake_word_entity: binary_sensor.wake_word

Why this matters: The pipeline connects all components (STT, TTS, intent, conversation agent) into a single voice workflow.

Creating Custom Intents

# custom_sentences/en/turn_on.yaml
language: en
version: 1

intents:
  TurnOn:
    data:
      - sentences:
          - "turn on the [area] {name:list}"
          - "turn on {name:list}"
          - "[please] activate {name:list}"
        lists:
          name: light_names

lists:
  light_names:
    - "bedroom light"
    - "kitchen overhead"
    - "living room"

Why this matters: Custom sentence patterns enable natural voice commands tailored to your home.

Configuring Text-to-Speech (TTS)

Local Option - Piper:

tts:
  - platform: piper
    language: en_GB
    voice: jenny_dioco

Cloud Option - OpenAI:

tts:
  - platform: tts
    service: google_translate_say  # or openai, google cloud
    language: en

Why this matters: TTS gives voice feedback; local options require no cloud dependencies.

Configuring Speech-to-Text (STT)

Local Option - Faster Whisper:

stt:
  - platform: faster_whisper
    language: en

Cloud Option - Google Cloud Speech:

stt:
  - platform: google_cloud
    language_code: en-US

Why this matters: STT converts spoken commands to text; local options provide privacy.

Critical Rules

✅ Always Do

  • ✅ Use custom_sentences/ directory for intent configuration (not deprecated sentences/)
  • ✅ Test intents with Assist Developer Tools before deploying
  • ✅ Use {name:list} syntax for slot-based entity matching
  • ✅ Configure both STT and TTS engines in the same pipeline
  • ✅ Verify wake word entity exists before enabling in pipeline
  • ✅ Document intent lists so voice commands are discoverable

Read the full file on GitHub · 524 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 First seen · 524 lines · 73 tokens per session scan A 48319b9d134d

Subscribe to this mod's changes

ha-voice is a skill published in the GitHub repository nodnarbnitram/claude-code-extensions (16 stars, last pushed 6mo ago), licensed MIT. It adds 73 tokens to every session and 3,117 once invoked, about $0.0003 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 2026-08-30.

Related

Other skills, from other repositories

gke-compute-classes

Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto…

google/skills · 83 tokens

jetson-diagnostic

Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.

NVIDIA/skills · 30 tokens

offensive-z-wave

Z-Wave attack methodology — sniffing with Z-Force / EZ-Wave / RTL-SDR + ZniffMobile, S0 (legacy) network-key derivation flaw and key reuse, S2 (modern) ECDH commissioning analysis, replay/injection on unauthenticated nodes, default-key brute-force on test deployments, and home-automation hub pivots. Use when targeting…

SnailSploit/Claude-Red · 113 tokens

doca-socket-relay

Use this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint…

NVIDIA/skills · 236 tokens

hsb-flash

Flash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must…

NVIDIA/skills · 94 tokens

jetson-validate-image

Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. Not for build or flash steps. Triggers: validate bsp, on-target validation.

NVIDIA/skills · 50 tokens