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 WaterplanAI/agentic-config --skill ac-tools-voice-usergit clone --depth 1 https://github.com/WaterplanAI/agentic-configWrote 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/waterplanai/agentic-config/ac-tools-voice-user)<a href="https://agentmods.dev/skills/waterplanai/agentic-config/ac-tools-voice-user"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-voice-user/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/waterplanai/agentic-config/ac-tools-voice-user"><img src="https://agentmods.dev/badge/skills/waterplanai/agentic-config/ac-tools-voice-user.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 | $0.00060 | $0.00423 |
| Opus 5 | $0.00030 | $0.00211 |
| Sonnet 5 | $0.00012 | $0.00085 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
ac-tools-voice-user 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.
What it actually says
Voice User
Use the say tool for concise one-way spoken communication with the user.
When to use
- You finished a meaningful task and want to alert the user.
- You need the user's attention, confirmation, approval, choice, or missing input.
- The user explicitly asks for spoken output.
- Only in the top-level agent runtime. Subagents cannot use
say.
How to use
- Call the
saytool with a short spoken message. - Prefer under 50 words when asking for attention or confirmation.
- Use this shape when possible:
<project> - <what you need>
- After the spoken alert, give the full explanation in the normal written response.
Keep spoken output short
Do not speak:
- long explanations
- code
- secrets, tokens, or credentials
- stack traces
- large diffs or long file paths
Tool shape
{
"text": "play - say extension updated; please reload.",
"voice": "Samantha",
"rate": 190
}
Only text is required. If voice or rate is omitted, the extension may use the saved defaults.
Notes
- The extension may configure automatic voice as
off,always, orlong. - Even when automatic voice is off, use the
saytool when the user explicitly wants spoken output. - Subagents do not have access to
say. If a subagent finishes work or needs attention, it should report that in writing and let the parent agent decide whether to speak. - Long explanations stay in writing; voice is only the concise alert.
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 · 56 lines · 60 tokens per session scan A 1f3b9bfdf1b0
ac-tools-voice-user is a skill published in the GitHub repository WaterplanAI/agentic-config (30 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 423 once invoked, about $0.0003 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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