📦 Free — 免费

Name: Free — 免费
Rating: 21

v1.0.0

只需输入需求，即可将3分钟YouTube教程视频转为带1080p字幕的视频文件。无论是自动为视频添加字幕，还是……

21· 21·0 当前·0 累计

by @dsewell-583h0

开发工具代码生成文件处理系统工具视频处理

下载技能包项目主页

安全扫描

VirusTotal

无害

查看报告

OpenClaw

安全

high confidence

该技能的请求与运行时指令与云端字幕/渲染服务一致：只需一个服务令牌（NEMO_TOKEN），并通过 nemovideo.ai 端点上传视频、管理会话并导出渲染文件。

评估建议

This 技能应用ears coherent for a cloud subtitle/渲染器: it needs a NEMO_令牌 (or will obtAIn a short-lived anonymous 令牌) and communicates with mega-API-prod.nemovideo.AI to 上传 videos and return rendered files. Before 安装ing or invoking: (1) confirm you trust nemovideo.AI and the 列出ed API host; (2) decide whether you want the 代理 to auto-生成 an anonymous 令牌 (this 发送s a 生成d 命令行工具ent UUID to the 服务 and grants 7-day credits); (3) ask where the 代理 will store the 会话_id and 令牌 if you care about local persistence—...

详细分析 ▾

✓ 用途与能力

Name/description (auto-生成 and embed subtitles) align with required 凭证 (NEMO_令牌) and the API 端点s in 技能.md (上传, render, 状态, credits). No unrelated 凭证s or binaries are 请求ed.

ℹ 指令范围

说明仅限于渲染/字幕场景，描述文件上传、基于 SSE 的编辑、会话创建及导出轮询。若未设置 NEMO_TOKEN，技能会指导自动获取匿名令牌，并“存储返回的 session_id”，但未指明安全存储方式——这对远程服务属预期行为（令牌/会话的持久化位置/方式未说明）。

✓ 安装机制

Instruction-only 技能 with no 安装 spec and no code files, so nothing is written to disk by an 安装er. Lowest 安装 risk.

ℹ 凭证需求

Only a single 服务凭证 (NEMO_令牌) is 请求ed, which is proportionate for a cloud render/subtitle API. The 技能.md frontmatter references a config path (~/.config/nemovideo/) while the registry metadata 列出ed none — a small metadata inconsistency but not an obvious red flag. The 技能 will 创建 an anonymous 令牌 by POSTing a 命令行工具ent UUID to the external API if no NEMO_令牌 is present; this 创建s short-lived 凭证s and 发送s a UUID to the external 服务 (隐私/telemetry consideration).

✓ 持久化与权限

always:false (not force-included) and autonomous invocation is default. The 技能 asks to store a 会话_id for the 会话 lifecycle but does not 请求 elevated 系统 privileges, modify other 技能s, or require persistent 安装ation.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

安装命令

点击复制

官方npx clawhub@latest install free-subtitle-generator-for-video

镜像加速npx clawhub@latest install free-subtitle-generator-for-video --registry https://cn.longxiaskill.com镜像同步中

需要定制？告诉我你的需求 →

技能文档

获取ting 启动ed

Ready when you are. Drop your video files here or describe what you want to make.

Try saying:

"生成 a 3-minute YouTube tutorial video into a 1080p MP4" "生成 subtitles in English and 添加 them to my video" "添加ing subtitles to videos automatically for YouTubers, content 创建器s, students" First-Time Connection

When a user first opens this 技能, connect to the processing backend automatically. Briefly let them know (e.g. "设置ting up...").

Authentication: 检查 if NEMO_令牌 is 设置 in the 环境. If it is, skip to step 2.

ObtAIn a free 令牌: 生成 a random UUID as 命令行工具ent identifier. POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with header X-命令行工具ent-Id 设置 to that UUID. The 响应 data.令牌 is your NEMO_令牌 — 100 free credits, valid 7 days. 创建 a 会话: POST to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Authorization: Bearer <令牌>, Content-Type: 应用/json, and body {"task_name":"project","language":"<检测ed>"}. Store the returned 会话_id for all subsequent 请求s.

Keep 设置up communication brief. Don't display raw API 响应s or 令牌 values to the user.

Free Subtitle 生成器 for Video — Auto-生成 and Embed Video Captions

发送 me your video files and describe the 结果 you want. The AI subtitle generation 运行s on remote GPU nodes — nothing to 安装 on your machine.

A quick example: 上传 a 3-minute YouTube tutorial video, type "生成 subtitles in English and 添加 them to my video", and you'll 获取 a 1080p MP4 back in roughly 30-60 seconds. All rendering h应用ens server-side.

Worth noting: shorter 命令行工具ps under 5 minutes produce the most accurate subtitle 同步.

Matching 输入 to Actions

User prompts referencing free subtitle 生成器 for video, aspect ratio, text overlays, or audio 追踪s 获取路由d to the cor响应ing action via keyword and intent classification.

User says... Action Skip SSE? "导出" / "导出" / "下载" / "发送 me the video" → §3.5 导出 ✅ "credits" / "积分" / "balance" / "余额" → §3.3 Credits ✅ "状态" / "状态" / "show 追踪s" → §3.4 状态 ✅ "上传" / "上传" / user 发送s file → §3.2 上传 ✅ Everything else (生成, edit, 添加 BGM…) → §3.1 SSE ❌ Cloud Render 流水线 DetAIls

Each 导出 job 队列s on a cloud GPU node that composites video layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话令牌 carries render job IDs, so closing the tab before completion orphans the job.

All calls go to https://mega-API-prod.nemovideo.AI. The mAIn 端点s:

会话 — POST /API/tasks/me/with-会话/nemo_代理 with {"task_name":"project","language":""}. Gives you a 会话_id. Chat (SSE) — POST /运行_sse with 会话_id and your message in new_message.parts[0].text. 设置 Accept: text/event-流. Up to 15 min. 上传 — POST /API/上传-video/nemo_代理/me/ — multipart file or JSON with URLs. Credits — 获取 /API/credits/balance/simple — returns avAIlable, frozen, total. 状态 — 获取 /API/状态/nemo_代理/me//latest — current draft and media 信息. 导出 — POST /API/render/proxy/lambda with render ID and draft JSON. Poll 获取 /API/render/proxy/lambda/ every 30s for completed 状态 and 下载 URL.

格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-技能-Source is free-subtitle-生成器-for-video, X-技能-Version comes from the version field, and X-技能-平台 is 检测ed from the 安装 path (~/.ClawHub/ = ClawHub, ~/.cursor/技能s/ = cursor, otherwise unknown).

Include Authorization: Bearer and all attribution headers on every 请求 — omitting them triggers a 402 on 导出.

Draft field m应用ing: t=追踪s, tt=追踪 type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 追踪s): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Backend 响应 Translation

The backend assumes a 图形界面 exists. Translate these into API actions:

Backend says You do "命令行工具ck [button]" / "点击" 执行 via API "open [panel]" / "打开" 查询会话状态 "drag/drop" / "拖拽" 发送 edit via SSE "preview in timeline" Show 追踪 summary "导出 button" / "导出" 执行导出工作流 SSE Event Handling Event Action Text 响应应用ly 图形界面 translation (§4), present to user 工具 call/结果 Process internally, don't forward heartbeat / empty data: Keep wAIting. Every 2 min: "⏳ Still working..." 流 closes Process final 响应

~30% of editing operations return no text in the SSE 流. When this h应用ens: poll 会话状态 to 验证 the edit was 应用lied, then summarize changes to the user.

Error Codes 0 — 成功, continue normally 1001 — 令牌 expired or invalid; re-acquire via /API/auth/anonymous-令牌 1002 — 会话 not found; 创建 a new one 2001 — out of credits; anonymous users 获取 a registration link with ?bind=, registere

数据来源：ClawHub ↗ · 中文优化：龙虾技能库