Borrowing it
Nothing to install: this file belongs to dosco/aithy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dosco/aithy/main/.claude/skills/ax-audio/SKILL.mdgit clone --depth 1 https://github.com/dosco/aithyWrote 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/dosco/aithy/ax-audio)<a href="https://agentmods.dev/skills/dosco/aithy/ax-audio"><img src="https://agentmods.dev/badge/skills/dosco/aithy/ax-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.
<a href="https://agentmods.dev/skills/dosco/aithy/ax-audio"><img src="https://agentmods.dev/badge/skills/dosco/aithy/ax-audio.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 | $0.00085 | $0.02667 |
| Opus 5.5 | $0.00034 | $0.01067 |
| Sonnet 5.5 | $0.00017 | $0.00533 |
| Haiku 4.5 | $0.00009 | $0.00267 |
Grade A, and why
ax-audio 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.
This is a copy
100% identical to ax-audio — 103 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 374 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Audio I/O Codegen Rules (@ax-llm/ax)
Use this skill for audio in Ax. Pick the smallest audio surface that matches the job:
- Use
ai.transcribe(...)for batch speech-to-text. - Use
ai.speak(...)for batch text-to-speech. - Use
speech:audiosignature outputs for structured programs that should return synthesized audio artifacts. - Use
.chat()audio config for conversational or realtime audio turns.
Core Rules
- Input
:audiois an audio input value:{ data, format?, mimeType?, sampleRate?, channels? }. - Output
:audiois a scripted audio artifact. The model returns plain text for that field; Ax synthesizes it after structured output parsing. - Output audio JSON schema is model-facing
string, not a binary object. - Agents transcribe input audio fields before planner/executor/responder stages by default, so agent stages see text instead of base64 audio.
- Realtime and conversational audio still use
.chat()andmodelConfig.audio. - Batch signature audio artifacts use forward-time
speechoptions, notmodelConfig.audio.
Direct Batch APIs
import { ai } from '@ax-llm/ax';
const llm = ai({ name: 'openai', apiKey: process.env.OPENAI_APIKEY! });
const transcript = await llm.transcribe({
audio: { data: base64Wav, format: 'wav' },
model: 'gpt-4o-mini-transcribe',
language: 'en',
prompt: 'Product support call',
});
const speech = await llm.speak({
text: transcript.text,
model: 'gpt-4o-mini-tts',
voice: 'alloy',
format: 'mp3',
});
console.log(transcript.text);
console.log(speech.data);
console.log(speech.transcript);
Providers without the requested batch audio capability throw AxMediaNotSupportedError.
Signature Audio Artifacts
import { ai, ax } from '@ax-llm/ax';
const llm = ai({ name: 'openai', apiKey: process.env.OPENAI_APIKEY! });
const say = ax('question:string -> speech:audio, summary:string');
const result = await say.forward(
llm,
{ question: 'Explain retries in one sentence.' },
{
speech: {
speak: { voice: 'alloy', format: 'mp3' },
fields: {
speech: { voice: 'alloy' },
},
},
}
);
console.log(result.summary);
console.log(result.speech.data);
console.log(result.speech.mimeType);
console.log(result.speech.transcript);
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 Changed 608b8cd8297d
- 1mo ago First seen · 374 lines · 85 tokens per session scan A 6820a47913c3
ax-audio is a skill published in the GitHub repository dosco/aithy (108 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 85 tokens to every session and 2,667 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to ax-audio, differing in 103 lines, and is treated as a copy.
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