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 theYahia/WWmcp --skill salute-speechgit clone --depth 1 https://github.com/theYahia/WWmcpWrote 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/theyahia/wwmcp/salute-speech)<a href="https://agentmods.dev/skills/theyahia/wwmcp/salute-speech"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/salute-speech/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/theyahia/wwmcp/salute-speech"><img src="https://agentmods.dev/badge/skills/theyahia/wwmcp/salute-speech.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 | $0.00023 | $0.00324 |
| Opus 5 | $0.00012 | $0.00162 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
salute-speech 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 5d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- salute-speech — 89% identical, 3 lines differ
What it actually says
/salute-speech -- Работа с речью через SaluteSpeech
Используемые инструменты
| Инструмент | Что делает |
|---|---|
recognize_speech |
Распознавание речи из аудио в текст |
synthesize_speech |
Синтез речи из текста в аудио |
Алгоритм
- Определи тип задачи: распознавание или синтез
- Для распознавания: прочитай аудиофайл, закодируй в Base64, вызови
recognize_speech - Для синтеза: вызови
synthesize_speechс текстом и голосом - Покажи результат
Формат ответа
Распознавание
## Результат распознавания
**Текст**: <распознанный текст>
**Язык**: ru-RU
Синтез
## Результат синтеза
**Голос**: Nec_24000
**Формат**: opus
**Размер**: 12345 байт
Примеры
/salute-speech synthesize Привет, как дела?
/salute-speech recognize audio.wav
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.
- 5d ago First seen · 48 lines · 23 tokens per session scan A be3abc13c9dc
salute-speech is a skill published in the GitHub repository theYahia/WWmcp (29 stars, last pushed 3d ago), licensed MIT. It adds 23 tokens to every session and 324 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 2026-09-06.
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