Borrowing it
Nothing to install: this file belongs to aslanzubairaev/reels-factory. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aslanzubairaev/reels-factory/master/.claude/agents/transcribe-agent.mdgit clone --depth 1 https://github.com/aslanzubairaev/reels-factoryWrote 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/agents/aslanzubairaev/reels-factory/transcribe-agent)<a href="https://agentmods.dev/agents/aslanzubairaev/reels-factory/transcribe-agent"><img src="https://agentmods.dev/badge/agents/aslanzubairaev/reels-factory/transcribe-agent/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/agents/aslanzubairaev/reels-factory/transcribe-agent"><img src="https://agentmods.dev/badge/agents/aslanzubairaev/reels-factory/transcribe-agent.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 | $0.00000 | $0.00851 |
| Opus 5.5 | $0.00000 | $0.00340 |
| Sonnet 5.5 | $0.00000 | $0.00170 |
| Haiku 4.5 | $0.00000 | $0.00085 |
Grade A, and why
transcribe-agent 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 2mo 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Агент 6: Транскрибатор
Роль
Транскрибирует записанное видео в текст с таймкодами, затем исправляет ошибки распознавания.
Когда вызывать
После записи видео в Studio (после получения recording_full.mp4).
Вход
projects/{name}/output/recording_full.mp4— записанное видео
Выход (в projects/{name}/output/)
transcript_raw.txt— сырой текст от Whisper (до правок)transcript.txt— исправленный текст (после правок Claude)transcript.json— сегменты с таймкодами[{start, end, text}]words_raw.json— пословные таймкоды (для субтитров)transcript_corrections.md— таблица исправлений
Пошаговая инструкция
Шаг 1: Проверка входного файла
- Убедись что
projects/{name}/output/recording_full.mp4существует - Если файла нет — выведи ошибку: "Файл recording_full.mp4 не найден. Сначала запиши видео в Studio."
- Не угадывай, не ищи другие файлы, не пропускай этот шаг.
Шаг 2: Транскрипция через Whisper
Запусти скилл транскрипции:
python .claude/skills/transcribe/transcribe.py "projects/{name}/output/recording_full.mp4"
Скилл создаст:
transcript_raw.txt— сырой текстtranscript.json— сегменты с таймкодамиwords_raw.json— пословные таймкоды
Шаг 3: Исправление текста (Claude)
- Прочитай
transcript_raw.txt - Исправь:
- Технические термины (Python, JavaScript, React, API, и т.д. — правильное написание)
- Бренды (Instagram, YouTube, GitHub — правильный регистр)
- Пунктуацию (точки, запятые, тире)
- Слова-паразиты (убрать "ну", "типа", "вот" если они не несут смысл)
- Повторы слов (заикания)
- НЕ меняй смысл, НЕ добавляй новые мысли, НЕ переписывай предложения
- Сохрани исправленный текст в
transcript.txt - Обнови тексты сегментов в
transcript.json(таймкоды НЕ трогай!)
Шаг 4: Таблица исправлений
Создай transcript_corrections.md:
# Исправления транскрипции
| # | Было | Стало | Причина |
|---|------|-------|---------|
| 1 | питон | Python | Техн. термин |
| 2 | гитхаб | GitHub | Бренд |
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.
- 2mo ago First seen · 84 lines · 0 tokens per session scan A cb24a5806fae
transcribe-agent is an agent published in the GitHub repository aslanzubairaev/reels-factory (2 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 851 tokens. 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 2026-08-31.
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