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.
npx skills add nodnarbnitram/claude-code-extensions --skill ha-voicegit clone --depth 1 https://github.com/nodnarbnitram/claude-code-extensionsWrote 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/nodnarbnitram/claude-code-extensions/ha-voice)<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.
<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>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 | $0.00073 | $0.03117 |
| Opus 5.5 | $0.00029 | $0.01247 |
| Sonnet 5.5 | $0.00015 | $0.00623 |
| Haiku 4.5 | $0.00007 | $0.00312 |
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.
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 deprecatedsentences/) - ✅ 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
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.
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.
- 1mo ago First seen · 524 lines · 73 tokens per session scan A 48319b9d134d
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.
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