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 Desko77/cursor-1c-skills --skill transcribe-audio-localgit clone --depth 1 https://github.com/Desko77/cursor-1c-skillsWrote 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/desko77/cursor-1c-skills/transcribe-audio-local)<a href="https://agentmods.dev/skills/desko77/cursor-1c-skills/transcribe-audio-local"><img src="https://agentmods.dev/badge/skills/desko77/cursor-1c-skills/transcribe-audio-local/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/desko77/cursor-1c-skills/transcribe-audio-local"><img src="https://agentmods.dev/badge/skills/desko77/cursor-1c-skills/transcribe-audio-local.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00121 | $0.01620 |
| Opus 5 | $0.00060 | $0.00810 |
| Sonnet 5 | $0.00024 | $0.00324 |
| Haiku 4.5 | $0.00012 | $0.00162 |
Grade A, and why
transcribe-audio-local 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 7d 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
91% identical to transcribe-audio-local — 45 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 — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/transcribe-audio-local - Локальная транскрибация аудио
Локальный движок: faster-whisper (CUDA) + опц. диаризация sherpa-onnx GPU (CUDA) с моделями pyannote-segmentation-3.0 + 3D-Speaker eres2net. Нет затрат, ничего не уходит наружу.
На RTX 5070 Ti Laptop: ~6-7 мин на 30 мин аудио (RTF ~0.24). Только аудио, видео не поддерживается.
Установка (один раз)
python scripts/setup.py
Подробнее в README.md. После установки venv-whisper и venv-sherpa создаются рядом со скилом, модели качаются в models/.
Для агента (Claude Code и подобные)
Workflow первого использования:
-
Проверь, установлен ли скил - есть ли файл
~/.claude/skills/transcribe-audio-local/venv-whisper/Scripts/python.exe(на Linux:venv-whisper/bin/python). Если есть - переходи к шагу 4. -
Если не установлен - запусти setup. Установка занимает 10-20 минут (faster-whisper + ctranslate2-CUDA + sherpa-onnx + скачивание моделей). Дефолтный Bash-таймаут 2 минуты не подходит:
- В Claude Code Bash tool используй
run_in_background: trueилиtimeout: 1500000(25 мин). - В других runtime - аналогичный длинный таймаут.
python ~/.claude/skills/transcribe-audio-local/scripts/setup.py
Что setup сделает сам:
- Создаст venv-whisper и venv-sherpa
- Если
ffmpegнет в PATH - поставитstatic-ffmpeg(pip-пакет с бинарниками) в venv-whisper. Без прав админа. - Скачает модели диаризации
- Проверит версию драйверов NVIDIA и предупредит, если они старее 525.x
Что setup НЕ может сделать сам (нужны действия пользователя):
- Установить системные драйверы NVIDIA / CUDA Toolkit (нужны админ-права)
- Поставить NVIDIA GPU в машину 😉
Если у машины нет GPU - setup упадет с FAIL. Уточни у пользователя, согласен ли на CPU-режим (в 10+ раз медленнее), и перезапусти с --allow-cpu.
- Проверь установку smoke-тестом (1-2 минуты, с реальной транскрипцией):
python ~/.claude/skills/transcribe-audio-local/scripts/verify.py --full
Без --full (5 сек) - только проверка наличия venv'ов и моделей, без реального прогона.
What ships with it
5 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.
- 7d ago First seen · 126 lines · 121 tokens per session scan A dc477bd84c41
transcribe-audio-local is a skill published in the GitHub repository Desko77/cursor-1c-skills (57 stars, last pushed today), licensed MIT. It adds 121 tokens to every session and 1,620 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 91% identical to transcribe-audio-local, differing in 45 lines, and is treated as a copy.
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