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 xyva-yuangui/XyvaClaw --skill video-subtitlesgit clone --depth 1 https://github.com/xyva-yuangui/XyvaClawWrote 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/xyva-yuangui/xyvaclaw/video-subtitles)<a href="https://agentmods.dev/skills/xyva-yuangui/xyvaclaw/video-subtitles"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/video-subtitles/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/xyva-yuangui/xyvaclaw/video-subtitles"><img src="https://agentmods.dev/badge/skills/xyva-yuangui/xyvaclaw/video-subtitles.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 | $0.00058 | $0.00868 |
| Opus 5.5 | $0.00023 | $0.00347 |
| Sonnet 5.5 | $0.00012 | $0.00174 |
| Haiku 4.5 | $0.00006 | $0.00087 |
Grade A, and why
video-subtitles 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 1mo 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Video Subtitles
字幕生成助手。触发后必须先询问用户确认，再执行生成。
| 触发场景 | 询问确认内容 |
|---|---|
| 字幕生成 | 确认视频路径、源语言、字幕格式 (SRT/内嵌) |
| 语音转录 | 确认音频/视频路径、输出格式 (文字/SRT) |
| 字幕翻译 | 确认源语言、目标语言、是否烧录 |
| 字幕烧录 | 确认视频路径、字幕文件、输出质量 |
执行流程: 触发 → 询问用户 → 用户确认 → 执行生成 → 返回文件路径
Full docs: read SKILL-REFERENCE.md
Generate movie-style subtitles from video or audio files. Supports transcription, translation, and burning subtitles directly into video.
Features
- Chinese (中文): FunASR (Alibaba, recommended) or Whisper large-v3
- English: OpenAI Whisper large-v3
- Hebrew: ivrit.ai fine-tuned model
- Auto-detect: Automatically detects language and selects best model
- Translation: Translate between zh/en/he
- Burn-in: Hardcode subtitles into video (visible everywhere, including WhatsApp)
- Movie-style: Natural subtitle breaks (42 chars/line, 1-7s duration)
Quick Start
# Plain transcript
./scripts/generate_srt.py video.mp4
# Generate SRT file
./scripts/generate_srt.py video.mp4 --srt
# Burn subtitles into video (always visible)
./scripts/generate_srt.py video.mp4 --srt --burn
# Translate to English + burn in
./scripts/generate_srt.py video.mp4 --srt --burn --translate en
# Force language
./scripts/generate_srt.py video.mp4 --lang zh # Chinese (default)
./scripts/generate_srt.py video.mp4 --lang en # English
./scripts/generate_srt.py video.mp4 --lang he # Hebrew
Options
| Flag | Description |
|---|---|
--srt |
Generate SRT subtitle file |
--burn |
Burn subtitles into video (hardcoded, always visible) |
--embed |
Embed soft subtitles (toggle in player) |
--translate en |
Translate to English |
--lang zh/en/he |
Force input language (default: zh) |
-o FILE |
Custom output path |
Output
- Default: Plain text transcript to stdout
- With
--srt: Createsvideo.srtalongside input - With
--burn: Createsvideo_subtitled.mp4with hardcoded subs
Requirements
- uv: Python package manager (auto-installs dependencies)
- ffmpeg-full: For burning subtitles (
brew install ffmpeg-full) - Models: ~3GB each, auto-downloaded on first use
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.
- 1mo ago First seen · 93 lines · 58 tokens per session scan A c733e5867d55
video-subtitles is a skill published in the GitHub repository xyva-yuangui/XyvaClaw (21 stars, last pushed 2mo ago), licensed MIT. It adds 58 tokens to every session and 868 once invoked, about $0.0002 per session on Opus 5.5. 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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