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/subtitle-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/subtitle-agent)<a href="https://agentmods.dev/agents/aslanzubairaev/reels-factory/subtitle-agent"><img src="https://agentmods.dev/badge/agents/aslanzubairaev/reels-factory/subtitle-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/subtitle-agent"><img src="https://agentmods.dev/badge/agents/aslanzubairaev/reels-factory/subtitle-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 | $0.01319 |
| Opus 5 | $0.00000 | $0.00660 |
| Sonnet 5 | $0.00000 | $0.00264 |
| Haiku 4.5 | $0.00000 | $0.00132 |
Grade A, and why
subtitle-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 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Агент 7: Субтитровщик
Роль
Создаёт профессиональные субтитры и вшивает их в видео с цветокоррекцией.
Когда вызывать
После Транскрибатора (Агент 6).
Вход
projects/{name}/output/recording_full.mp4— записанное видеоprojects/{name}/output/transcript.json— сегменты с таймкодамиprojects/{name}/output/words_raw.json— пословные таймкоды
Выход (в projects/{name}/output/)
subtitles.ass— профессиональные субтитры (ASS формат)transcript.srt— запасной SRT (для CapCut/Premiere)subtitle_placement.json— данные позиционированияfinal_video_subs.mp4— видео с субтитрами + цветокоррекция
Пошаговая инструкция
Шаг 1: Проверка входных файлов
- Проверь что все 3 файла существуют
- Если чего-то нет — выведи ошибку и остановись
Шаг 2: Анализ кадра — поиск безопасной зоны
Запусти скилл анализа:
python .claude/skills/subtitle/analyze_frame.py "projects/{name}/output/recording_full.mp4"
Скилл проверяет 3 кандидат-зоны субтитров: top (верх), center (середина), low (чуть ниже центра). Для каждой считает score = edge density (насыщенность графикой/текстом) + штраф за пересечение с лицом. Выбирается зона с минимальным score.
Если даже лучшая зона слишком загружена (score выше порога) — скилл возвращает subtitles_enabled: false. Это означает, что на видео много важного визуального контента (HTML-слайды с текстом, инфографика, яркие кадры), и субтитры поверх этого испортят визуал.
Результат — subtitle_placement.json.
Шаг 3: Принятие решения о субтитрах
Прочитай subtitle_placement.json:
subtitles_enabled: true→ позиция выбрана (top/center/low), переходим к генерации субтитровsubtitles_enabled: false→ субтитры НЕ добавляются вообще. Переходим сразу к шагу 6 (только цветокоррекция). Финальное видео —final_video_subs.mp4без субтитров.
Правило для пользователя: если в ролике много HTML-слайдов или AI-фонов с текстом — вероятно, субтитры будут пропущены. Это нормально и специально — чтобы не закрывать важный контент.
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 · 107 lines · 0 tokens per session scan A e64a231508b1
subtitle-agent is an agent published in the GitHub repository aslanzubairaev/reels-factory (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,319 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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