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Ai Subtitle Japanese

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install ai-subtitle-japanese
功能描述
Get Japanese-captioned videos ready to post, without touching a single slider. Upload your video files (MP4, MOV, AVI, WebM, up to 500MB), say something like...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "generate my video files"
  • "export 1080p MP4"
  • "add Japanese subtitles to my video"

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.

AI Subtitle Japanese — Generate Japanese Subtitles Automatically

Drop your video files in the chat and tell me what you need. I'll handle the AI subtitle generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 3-minute Japanese interview video, ask for add Japanese subtitles to my video automatically, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — clear audio with minimal background noise produces the most accurate Japanese subtitle output.

Matching Input to Actions

User prompts referencing ai subtitle japanese, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-subtitle-japanese, 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).

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

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

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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

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

Common Workflows

Quick edit: Upload → "add Japanese subtitles to my video automatically" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "add Japanese subtitles to my video automatically" — 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 Japanese video platforms like Niconico and YouTube.

安全使用建议
This skill will upload any video you give it to a third-party service (mega-api-prod.nemovideo.ai) to generate subtitles — that is expected for its function. Points to consider before installing: - Privacy: your videos (and any metadata) are sent to an external service; confirm you trust nemovideo.ai and review their privacy/retention policy. - Tokens: the skill accepts a NEMO_TOKEN if you provide one, but it can also auto-create an anonymous token by calling the API. If you prefer control, supply your own token rather than relying on anonymous provisioning. - Metadata inconsistency: the frontmatter in SKILL.md mentions a config path (~/.config/nemovideo/) that the registry listing did not — this mismatch suggests sloppy packaging and means the skill might attempt to read local config/paths. Ask the publisher to clarify whether the skill will access local config or only use the provided token. - Installation-path header: the skill derives X-Skill-Platform from your install path (e.g., ~/.clawhub/). That can reveal local install layout; if that concerns you, ask whether this header is required and what it is used for. If any of the above is unacceptable, do not install. If you proceed, prefer providing an explicit NEMO_TOKEN you control and avoid uploading sensitive videos until you verify the service's policies.
功能分析
Type: OpenClaw Skill Name: ai-subtitle-japanese Version: 1.0.0 The skill is a legitimate integration for generating Japanese subtitles via the nemovideo.ai cloud service. It contains standard API interaction logic for authentication, session management, file uploads, and polling for render results. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found; the instructions are consistent with the stated purpose of video processing.
能力评估
Purpose & Capability
The skill's stated purpose (upload video, generate Japanese subtitles on a cloud backend) matches the network calls in SKILL.md (uploads, SSE, render/export). However the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) whereas the registry metadata listed no config paths — this inconsistency suggests the package metadata may be sloppy or out-of-date. Requiring NEMO_TOKEN is coherent for a cloud API, but the instructions also implement an anonymous-token acquisition flow if NEMO_TOKEN is absent, which changes the credential model from 'require user-provided token' to 'auto-provision token' and should be noted.
Instruction Scope
The instructions explicitly instruct the agent to upload user-provided video files and to contact a third-party API (https://mega-api-prod.nemovideo.ai) for session creation, SSE, uploads, and exports — this is expected for the feature. Notable behaviors: (1) If NEMO_TOKEN is missing the agent will POST to an anonymous-token endpoint and use the returned token; (2) it derives an X-Skill-Platform header from local install paths (e.g., ~/.clawhub/, ~/.cursor/skills/) — detecting or reading those paths could leak local install layout; (3) it instructs the agent to include specific attribution headers on every request (missing them causes a 402). The instructions do not ask to read unrelated files or other env vars, but the install-path detection and embedded configPaths are scope-creep signals to consider.
Install Mechanism
Instruction-only skill with no install spec and no code files: nothing is written to disk by an install step. This is the lowest-risk install mechanism.
Credentials
Only one declared credential (NEMO_TOKEN) which is proportionate for a cloud API. However the skill will auto-request an anonymous token if NEMO_TOKEN is absent, meaning it can obtain and use tokens without explicit user-provided secrets. The SKILL.md frontmatter also lists a configPaths entry (~/.config/nemovideo/) that is not reflected in the registry listing — if the agent actually reads that path it could access local config, which would be beyond the minimal credential need.
Persistence & Privilege
always:false (not force-included) and no statements about modifying other skills or system-wide settings. The skill will run network calls and may be invoked autonomously (platform default) but it does not request persistent elevated privileges in the manifest.
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 ai-subtitle-japanese
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-subtitle-japanese 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
AI Subtitle Japanese 1.0.0 — Initial Release - Instantly add accurate Japanese subtitles to your uploaded videos (MP4, MOV, AVI, WebM, up to 500MB). - Simple cloud setup: automatic token acquisition; just upload and go, no manual configuration. - Clear, step-by-step workflows: upload, generate Japanese subs, preview, and export as 1080p MP4. - Supports multiple export/media formats and batch processing. - In-app command routing for video export, credits, project state, upload, and generation via natural prompts. - Robust error handling with clear feedback for file type, size, credits, and rate-limiting issues.
元数据
Slug ai-subtitle-japanese
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

Ai Subtitle Japanese 是什么?

Get Japanese-captioned videos ready to post, without touching a single slider. Upload your video files (MP4, MOV, AVI, WebM, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 79 次。

如何安装 Ai Subtitle Japanese?

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

Ai Subtitle Japanese 是免费的吗?

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

Ai Subtitle Japanese 支持哪些平台?

Ai Subtitle Japanese 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 Ai Subtitle Japanese?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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