Octos is a self-hosted AI assistant that runs on a user's computer and can connect to different AI providers, execute code, browse the web, remember information, schedule jobs, and create documents through browser, terminal, and messaging interfaces. The catalogue entries extend or configure this assistant's workflows.
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 octos-org/octos --skill voicegit clone --depth 1 https://github.com/octos-org/octosWrote 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/octos-org/octos/voice)<a href="https://agentmods.dev/skills/octos-org/octos/voice"><img src="https://agentmods.dev/badge/skills/octos-org/octos/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/octos-org/octos/voice"><img src="https://agentmods.dev/badge/skills/octos-org/octos/voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00804 |
| Opus 5 | $0.00000 | $0.00402 |
| Sonnet 5 | $0.00000 | $0.00161 |
| Haiku 4.5 | $0.00000 | $0.00080 |
Grade A, and why
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 12d 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Batch ASR / OminiX TTS / Model Management
Speech-to-text uses ASR_API_URL when configured (the Octos/OMiniX JSON +
base64 batch-transcription contract at POST /v1/audio/transcriptions, such as
the local Whisper or Nemotron adapter); otherwise it falls back to Qwen3 ASR
through local OminiX. Preset-voice text-to-speech with emotion control and model
lifecycle management remain backed by local OminiX (Apple Silicon).
An empty ASR result is a successful no-speech rejection, not an error.
Boundary — when NOT to use this skill
- Voice cloning / custom voice profiles → use mofa-fm
(
fm_tts,fm_voice_save,fm_voice_list,fm_voice_delete). This skill is preset-voice only. - Emotion prompts in fallback mode → not supported. When ominix-api is
unreachable,
voice_synthesizefalls through to the macOS built-insaycommand, which auto-picks a system voice from the text language and ignores thepromptparameter.
Tools
| Tool | Purpose |
|---|---|
voice_transcribe |
ASR — WAV/OGG/MP3/FLAC/M4A → text |
voice_synthesize |
Preset-voice TTS with optional emotion + speed |
list_models |
List loaded + catalog models on the local ominix-api |
download_model |
Pull a catalog model to local disk |
load_model |
Load a downloaded model into GPU memory |
unload_model |
Free a loaded model from GPU memory |
Quick recipes
Transcribe a voice message
{"audio_path": "voice.ogg", "language": "Chinese"}
Synthesize plain speech
{"text": "Hello world", "language": "english", "speaker": "ryan"}
Synthesize with emotion
{"text": "我太开心了！", "speaker": "vivian", "prompt": "用兴奋激动的语气说话，充满热情和活力"}
After voice_synthesize returns a file path, deliver the audio with
send_file.
What ships with it
5 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.
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.
- 12d ago First seen · 78 lines · 0 tokens per session scan A 4a6cf2c96803
voice is a skill published in the GitHub repository octos-org/octos (1,038 stars, last pushed today), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 804 tokens. 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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