Easel is an open-source content workspace and AI agent for managing social media from trend discovery through planning, content creation, publishing, and performance analysis. It is intended for social media creators and maintains separate account profiles, content projects, platform adaptations, and publishing records. The catalogue skills support these content and publishing workflows.
Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/ZJU-REAL/Easelnpx agentmods add skills/zju-real/easel/subtitle-translateWrote 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/zju-real/easel/subtitle-translate)<a href="https://agentmods.dev/skills/zju-real/easel/subtitle-translate"><img src="https://agentmods.dev/badge/skills/zju-real/easel/subtitle-translate/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/zju-real/easel/subtitle-translate"><img src="https://agentmods.dev/badge/skills/zju-real/easel/subtitle-translate.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 | $0.00168 | $0.01547 |
| Opus 5.5 | $0.00067 | $0.00619 |
| Sonnet 5.5 | $0.00034 | $0.00309 |
| Haiku 4.5 | $0.00017 | $0.00155 |
Grade A, and why
subtitle-translate 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 — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
字幕翻译 / 双语字幕
把已有字幕翻译成目标语言，产出双语（原文+译文）或纯译文字幕，可选烧录进视频。 翻译交给 LLM（你自己），确定性部分（解析/合并/格式/时间轴/烧录）全交给
skills/shared/scripts/subtitle_ops.py。不要手拼 ffmpeg，也不要手改时间轴。
只做"已有字幕 → 翻译/双语/烧录"。语音识别生成字幕见 auto-subtitle； 通用视频剪辑见 video-editing。
输入
| 字段 | 必填 | 说明 |
|---|---|---|
| 字幕文件 | 是 | .srt / .vtt / .ass 路径（没给就问） |
| 目标语言 | 是 | 译成什么语言（如中文 / English / 日本語） |
| 输出形态 | 否 | 双语（默认）/ 纯译文 |
| 原译顺序 | 否 | 双语时原文在上（默认）或译文在上 |
| 视频文件 | 否 | 给了则可烧录；软挂载（可开关）或硬烧录（烧进画面） |
输出（outputs/主题名/）
- 双语 / 纯译文字幕文件（
.srt或.ass） - 若烧录：带字幕的视频（
*-sub.mp4） - 报告：条数、目标语言、形态、输出路径
执行步骤
脚本路径（相对项目根）：skills/shared/scripts/subtitle_ops.py（每个子命令支持 -h）。
1. 提取待译文本
python skills/shared/scripts/subtitle_ops.py extract -i <字幕> -o /tmp/st_lines.txt
每条字幕一行、行号与顺序固定。记住总行数 N。
2. 逐行翻译（你来做）
读 /tmp/st_lines.txt，逐行翻译成目标语言，写入 /tmp/st_trans.txt：
- 行数必须严格等于 N，顺序一一对应，不增删空行、不合并、不拆行（脚本会校验，不一致直接报错）。
- 一行内如原文有多句，整合成一行译文，不要拆成多行。
- 语气/术语按内容领域走；口语内容译得自然口语，书面内容译得书面。
- 空行原文对应空行译文（保持占位）。
3. 合并成双语 / 纯译文字幕
# 双语 SRT（原文在上，译文在下）
python skills/shared/scripts/subtitle_ops.py merge -i <字幕> --trans /tmp/st_trans.txt \
-o outputs/主题名/<名>-bilingual.srt
# 双语 ASS（原文白色较大 / 译文黄色略小，样式更佳，推荐用于硬烧录）
python skills/shared/scripts/subtitle_ops.py merge -i <字幕> --trans /tmp/st_trans.txt \
-o outputs/主题名/<名>-bilingual.ass --format ass
# 纯译文（不保留原文）
python skills/shared/scripts/subtitle_ops.py merge -i <字幕> --trans /tmp/st_trans.txt \
-o outputs/主题名/<名>-<lang>.srt --trans-only
--order trans-top 可让译文在上。
4.（可选）烧录进视频
# 硬烧录（烧进画面，推荐用 .ass 保留双语样式）
python skills/shared/scripts/subtitle_ops.py burn -i <视频> \
--sub outputs/主题名/<名>-bilingual.ass \
-o outputs/主题名/<名>-sub.mp4
# 软挂载（可在播放器开关，不改画面；mp4→mov_text，mkv→srt）
python skills/shared/scripts/subtitle_ops.py burn -i <视频> \
--sub outputs/主题名/<名>-bilingual.srt \
-o outputs/主题名/<名>-sub.mp4 --soft
其它子命令
parse -i <字幕> [-o out.json]— 解析成 JSON（含时间轴），供程序化处理或核对。build --json <cues.json> -o <字幕>— 从 JSON（cue 带text与可选trans）构建，适合批量/整段翻译回填。convert -i a.srt -o b.vtt— 格式互转（srt ↔ vtt ↔ ass）。
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 · 97 lines · 168 tokens per session scan A 9e19d8a44da3
subtitle-translate is a skill published in the GitHub repository ZJU-REAL/Easel (4,138 stars, last pushed 3d ago), licensed Apache-2.0. It adds 168 tokens to every session and 1,547 once invoked, about $0.0007 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 2026-09-03.
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