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Free Subtitle Generator

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install free-subtitle-generator
功能描述
YouTubers and content creators add video files into captioned videos using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPUs at 1080...
使用说明 (SKILL.md)

Getting Started

Share your video files and I'll get started on subtitle generation. Or just tell me what you're thinking.

Try saying:

  • "add my video files"
  • "export 1080p MP4"
  • "add captions in English and Spanish"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Free Subtitle Generator — Add Captions to Any Video

This tool takes your video files and runs subtitle generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 3-minute YouTube tutorial recording and want to add captions in English and Spanish — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter clips under 5 minutes process significantly faster.

Matching Input to Actions

User prompts referencing free subtitle generator, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token 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 endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-subtitle-generator, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the export workflow

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "add captions in English and Spanish" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 for widest compatibility across platforms.

Common Workflows

Quick edit: Upload → "add captions in English and Spanish" → Download MP4. Takes 30-60 seconds for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议
This skill behaves like a cloud subtitle/render service: it will upload your video files to mega-api-prod.nemovideo.ai, include an Authorization Bearer token (NEMO_TOKEN) on requests, and can obtain an anonymous token for you if you don't supply one. Before installing/using it: 1) Verify the service domain (mega-api-prod.nemovideo.ai) and check for a legitimate homepage/privacy policy and TLS certificate — there is no homepage listed in the registry. 2) Prefer supplying your own NEMO_TOKEN if you have an account rather than letting the skill obtain an anonymous token. 3) Do not upload sensitive or private videos until you confirm the service’s data retention/privacy terms. 4) Ask the publisher to explain the metadata mismatch (registry says no config paths, SKILL.md lists ~/.config/nemovideo/) and why the skill needs to detect install paths for header construction. 5) Test first with a short, non-sensitive clip to observe behavior. If the publisher cannot be identified or you cannot validate the external service, treat it as untrusted and avoid uploading private content.
功能分析
Type: OpenClaw Skill Name: free-subtitle-generator Version: 1.0.0 The skill is a legitimate integration for a video subtitle generation service, facilitating video uploads and rendering via the 'mega-api-prod.nemovideo.ai' backend. It provides detailed instructions for the AI agent to manage sessions, handle authentication tokens (NEMO_TOKEN), and map user intents to specific API endpoints. While it includes logic for environment detection (identifying if it's running in Cursor or Clawhub), this is used for telemetry headers and does not involve exfiltrating sensitive user data or executing unauthorized commands.
能力评估
Purpose & Capability
The name/description (subtitle generation for video files) aligns with the endpoints and actions in SKILL.md (upload, render, export). However the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) that is not reflected in the registry metadata — this mismatch is unexplained and should be clarified.
Instruction Scope
Runtime instructions explicitly send user video files and metadata to an external API (mega-api-prod.nemovideo.ai) and will POST to an anonymous-token endpoint to obtain a NEMO_TOKEN if one is not present. That behavior is consistent with a cloud render service, but it means user files and generated tokens are transmitted to an external service — confirm the domain and privacy policy before uploading sensitive content. The skill also derives some headers from install path detection (reading install path) which implies filesystem context access.
Install Mechanism
No install spec and no code files (instruction-only) — lowest install risk. Nothing is written to disk by an installer.
Credentials
Only NEMO_TOKEN is required, which is proportionate for an API-backed service. However SKILL.md metadata references an additional config path (~/.config/nemovideo/) even though the registry lists no required config paths — this inconsistency should be resolved. Also the skill will create or fetch an anonymous NEMO_TOKEN if none is present, which is functional but worth awareness.
Persistence & Privilege
always:false and no install-time persistence requested. The skill does not request elevated system privileges or modify other skills. It will, however, maintain session state (session_id) for interaction with the remote backend as expected.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install free-subtitle-generator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-subtitle-generator 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Free Subtitle Generator — initial release - Launches cloud-based subtitle generation for video uploads up to 500MB. - Supports MP4, MOV, AVI, WebM inputs; exports 1080p MP4 videos with captions. - Offers quick setup with automatic token generation and session handling. - Provides intent-based routing for upload, edit, credits, export, and status commands. - Includes guidance on processing times, error codes, and supported workflows.
元数据
Slug free-subtitle-generator
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Free Subtitle Generator 是什么?

YouTubers and content creators add video files into captioned videos using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPUs at 1080... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 118 次。

如何安装 Free Subtitle Generator?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install free-subtitle-generator」即可一键安装,无需额外配置。

Free Subtitle Generator 是免费的吗?

是的,Free Subtitle Generator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Free Subtitle Generator 支持哪些平台?

Free Subtitle Generator 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Free Subtitle Generator?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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