Borrowing it
Nothing to install: this file belongs to cacity/VideoHub. 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/cacity/VideoHub/main/.agents/skills/videohub-subtitles/SKILL.mdgit clone --depth 1 https://github.com/cacity/VideoHubWrote 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/cacity/videohub/videohub-subtitles)<a href="https://agentmods.dev/skills/cacity/videohub/videohub-subtitles"><img src="https://agentmods.dev/badge/skills/cacity/videohub/videohub-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/cacity/videohub/videohub-subtitles"><img src="https://agentmods.dev/badge/skills/cacity/videohub/videohub-subtitles.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 | $0.00037 | $0.00393 |
| Opus 5.5 | $0.00015 | $0.00157 |
| Sonnet 5.5 | $0.00007 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
videohub-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 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.
What it actually says
VideoHub Subtitles
当前字幕相关能力分两块:
- 生成字幕、翻译字幕:
F:/work/VideoHub/src/youtube_transcriber.py - 主流程字幕烧录函数:
F:/work/VideoHub/src/youtube_transcriber.py中的embed_subtitles_to_video() - 独立字幕合成 GUI:
F:/work/VideoHub/src/subtitle_merger.py
适用场景
- 用户已经有视频和 ASS 字幕,想烧录
- 用户在 YouTube/本地视频流程里勾选“将字幕嵌入到视频中”
- 用户在配音流程里选择“压单语字幕”或“压双语字幕”
- 用户想知道字幕样式和字体配置从哪里来
- 用户需要区分“生成字幕”和“合成视频”两个阶段
当前实现边界
embed_subtitles_to_video(video_path, subtitle_path, output_dir=VIDEOS_WITH_SUBTITLES_DIR)是主流程可复用函数。subtitle_merger.py是 PyQt GUI 工具,不是独立纯 CLI。- 主流程会优先使用同名
.ass字幕;输出目录是workspace/videos_with_subtitles/。 - 如果只是生成字幕,应优先走
videohub-youtube - 如果是现有字幕文件与视频合成,优先走字幕合成工具
注意
- 这个 skill 目前以引导和正确分流为主
- 后续如果需要,可再把字幕合成补成 CLI 友好的入口
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 · 30 lines · 37 tokens per session scan A 475fb44daa84
videohub-subtitles is a skill published in the GitHub repository cacity/VideoHub (183 stars, last pushed 3d ago), licensed MIT. It adds 37 tokens to every session and 393 once invoked, about $0.0001 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.
videohub-subtitles compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| videohub-subtitlescacity/VideoHub | Skill | 183 | 3d ago | MIT | A | 37 | Claude Code, Codex |
| qiaomu-cutjoeseesun/qiaomu-cut-skill | Skill | 378 | 24d ago | MIT | B | 218 | Codex |
| frontend-designOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 57 | Claude Code, Codex |
| stage-planOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 0 | Claude Code, Codex |
| gate-controlOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 81 | Claude Code, Codex |
| stage-editOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 62 | Claude Code, Codex |
| stage-consistencyOrkas-AI/Orkas-VideoStudio | Skill | 344 | 2d ago | MIT | A | 92 | Claude Code, Codex |