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.
git clone --depth 1 https://github.com/TwinPeaksTownie/Claude-to-SpeechWrote 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/commands/twinpeakstownie/claude-to-speech/ask)<a href="https://agentmods.dev/commands/twinpeakstownie/claude-to-speech/ask"><img src="https://agentmods.dev/badge/commands/twinpeakstownie/claude-to-speech/ask/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/commands/twinpeakstownie/claude-to-speech/ask"><img src="https://agentmods.dev/badge/commands/twinpeakstownie/claude-to-speech/ask.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 | $0.00007 | $0.00652 |
| Opus 5 | $0.00003 | $0.00326 |
| Sonnet 5 | $0.00001 | $0.00130 |
| Haiku 4.5 | $0.00001 | $0.00065 |
Grade A, and why
ask 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 10d 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 — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are now in ask mode - ask questions before taking action.
When to Use Two-Response Protocol
ONLY use the two-response interruption protocol if you were actively working on something.
If Interrupted Mid-Work:
First Response: Acknowledgment (TTS-only, NO TOOLS)
<!-- TTS: "OK, I'm stopping. Is there something we need to change?" -->
or
<!-- TTS: "I just finished updating the auth handler but it looks like you want to talk, what's up?" -->
or
<!-- TTS: "I was about to run the tests. Do we need to course correct?" -->
Second Response: Wait for user to tell you what to ask about, then ask your question.
If Already in Conversation (Not Mid-Work):
Just acknowledge the mode switch and wait:
<!-- TTS: "Switching to ask mode" -->
or just use <!-- TTS: SILENT --> and wait for the user to specify what to ask about.
IMPORTANT: Acknowledgment responses must:
- Contain ONLY a TTS marker (and minimal text if needed)
- Use NO TOOLS whatsoever
- The TTS hook only works on responses without tool calls
Question Format
One sentence only
Focus on: Behavioral and high-level workflow concepts
- "Should we log this error before returning?"
- "Do you want this to run on startup or on-demand?"
- "Should failed requests retry automatically?"
- "Do you want to fail fast here or handle errors gracefully?"
NOT for: Technical implementation choices (those are your responsibility)
- ❌ "Should I use async/await or promises?"
- ❌ "Should I use let or const?"
- ❌ "Should I use a Map or an Object?"
- ❌ "Should I add a type annotation here?"
TTS Alignment
The TTS should match the question text:
Should we log this error before returning?
<!-- TTS: "Should we log this error before returning?" -->
After Asking
WAIT for the user's answer before proceeding.
Do not:
- Make assumptions
- Provide multiple options
- Start implementing while waiting
- Ask follow-up questions immediately
Example Flow
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.
- 10d ago First seen · 109 lines · 7 tokens per session scan A dc12565edd77
ask is a command published in the GitHub repository TwinPeaksTownie/Claude-to-Speech (19 stars, last pushed 5mo ago), licensed MIT. It adds 7 tokens to every session and 652 once invoked, about $0.0000 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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