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 yoav0gal/agent-voice --skill create-speech-recordinggit clone --depth 1 https://github.com/yoav0gal/agent-voiceWrote 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/yoav0gal/agent-voice/create-speech-recording)<a href="https://agentmods.dev/skills/yoav0gal/agent-voice/create-speech-recording"><img src="https://agentmods.dev/badge/skills/yoav0gal/agent-voice/create-speech-recording.svg" alt="Measured on agentmods" 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 | $0.00024 | $0.00382 |
| Opus 5 | $0.00012 | $0.00191 |
| Sonnet 5 | $0.00005 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
create-speech-recording scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Create Speech Recording
Agent Voice works best in English. For another supported language, choose a
matching voice with agent-voice voices and pass --voice and --lang.
Prepare
Set RESPONSE_AS_TEXT to the text's spoken form.
- For supplied text, preserve every word and punctuation mark in order while translating presentation syntax into speech.
- For a requested summary or explanation, write natural speech with the same meaning.
- For tables, state the headers once and read each row as labeled values.
Record
agent-voice speak "$RESPONSE_AS_TEXT"
For long text, create a unique file in the system temporary directory. The operating system handles cleanup.
agent-voice speak --label "$LABEL" < "$RESPONSE_AS_TEXT_FILE"
Set LABEL to a short subject. For an exact requested filename, replace
--label "$LABEL" with --output "$PATH".
Use the returned path to deliver the recording. For speaker playback, add
-p; continue after the result reports playback.state: "started". Add
--play-after SECONDS to schedule it without blocking.
Deliver
Use default.md immediately after speak
returns a receipt with generation.state: "started"
Setup
If the command is unavailable:
uv tool install agent-voice
agent-voice setup
Resources
- CLI help:
agent-voice --help - Source and docs: Agent Voice on GitHub
What ships with it
2 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.
- 8d ago First seen · 59 lines · 24 tokens per session scan A 886ac2b7c501
create-speech-recording is a skill published in the GitHub repository yoav0gal/agent-voice (11 stars, last pushed 19d ago), licensed MIT. It adds 24 tokens to every session and 382 once invoked, about $0.0001 per session on Opus 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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