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Ai Video Editing Online

作者 whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ai-video-editing-online
功能描述
Cloud-based ai-video-editing-online tool that handles editing raw footage into polished videos without desktop software. Upload MP4, MOV, AVI, WebM files (up...
使用说明 (SKILL.md)

Getting Started

Send me your raw video footage and I'll handle the AI video editing. Or just describe what you're after.

Try saying:

  • "edit a 2-minute unedited screen recording into a 1080p MP4"
  • "trim the silences, add transitions, and export as a clean MP4"
  • "editing raw footage into polished videos without desktop software for content creators and marketers"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: \x3Cuuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

AI Video Editing Online — Edit and Export Videos Online

Send me your raw video footage and describe the result you want. The AI video editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute unedited screen recording, type "trim the silences, add transitions, and export as a clean MP4", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter clips under 3 minutes process significantly faster.

Matching Input to Actions

User prompts referencing ai video editing online, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: 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 ai-video-editing-online, 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.

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

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 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the silences, add transitions, and export as a clean MP4" — 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 and devices.

Common Workflows

Quick edit: Upload → "trim the silences, add transitions, and export as a clean MP4" → Download MP4. Takes 1-2 minutes 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 appears to do what it claims: it will send uploaded video files and editing commands to the nemovideo cloud API and use a NEMO_TOKEN to authenticate. Before installing/using it: (1) confirm you trust the endpoint domain (mega-api-prod.nemovideo.ai) and review its privacy/retention policy for uploaded videos; (2) confirm whether the agent will store the anonymous token or NEMO_TOKEN persistently and where; (3) ask the skill author to clarify the metadata inconsistency about ~/.config/nemovideo/ (will the skill read that path?), and whether any local filesystem probing occurs to produce X-Skill-Platform headers; (4) avoid uploading sensitive or regulated footage until you verify the provider's handling and retention. Overall the skill is coherent with its purpose, but verify provider trust and token/storage behavior before sending private data.
功能分析
Type: OpenClaw Skill Name: ai-video-editing-online Version: 1.0.0 The skill bundle provides a functional interface for a cloud-based video editing service hosted at nemovideo.ai. It includes detailed instructions for the agent to handle authentication, file uploads, session management, and video rendering via a specific API. No evidence of data exfiltration, unauthorized execution, or malicious prompt injection was found; the requested environment variables and configuration paths are consistent with the tool's stated purpose.
能力评估
Purpose & Capability
The skill name/description (cloud AI video editing) matches the actions in SKILL.md: obtaining a NEMO_TOKEN, creating a session, uploading video files, streaming SSE edits, and requesting render jobs. All required capabilities (network calls, token-based auth, file uploads) are coherent with the stated purpose.
Instruction Scope
Instructions are narrowly scoped to interacting with the remote nemovideo API (auth, session creation, upload, SSE, render). They explicitly tell the agent not to print tokens/raw JSON. One minor scope note: headers include an X-Skill-Platform value that is derived from the agent's install path (~/.clawhub or ~/.cursor/skills/), which implies the agent may probe local paths to determine the platform — this is plausible for attribution but you should be aware it may require reading install paths.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest-risk install profile (nothing is written to disk by an installer).
Credentials
The skill requires a single service credential (NEMO_TOKEN), which is appropriate for a cloud-rendering service. Minor metadata inconsistency: SKILL.md metadata includes configPaths ("~/.config/nemovideo/"), but the registry summary listed no required config paths; clarify whether the agent will read that path and why. Otherwise no unrelated secrets are requested.
Persistence & Privilege
always:false and normal autonomous invocation. The skill asks to save a session_id for ongoing jobs (expected) but does not request elevated system-wide privileges or to modify other skills. No persistent installation behavior is declared.
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-video-editing-online
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editing-online 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-video-editing-online 1.0.0 - Initial Release - Launches a cloud-based AI video editing tool for uploading, editing, and exporting raw video footage online. - Supports MP4, MOV, AVI, and WebM uploads up to 500MB; outputs polished 1080p MP4 in 1–2 minutes. - Token-based authentication with automatic session management and 100 free credits for new users. - Handles core workflows: trimming, adding transitions, combining tracks, and exporting or downloading videos. - Includes guidance for error handling, accepted file types, and tips for best editing results. - Designed for content creators and marketers seeking browser-based, no-install video editing solutions.
元数据
Slug ai-video-editing-online
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 Video Editing Online 是什么?

Cloud-based ai-video-editing-online tool that handles editing raw footage into polished videos without desktop software. Upload MP4, MOV, AVI, WebM files (up... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 107 次。

如何安装 Ai Video Editing Online?

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

Ai Video Editing Online 是免费的吗?

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

Ai Video Editing Online 支持哪些平台?

Ai Video Editing Online 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 Video Editing Online?

由 whitejohnk-26(@whitejohnk-26)开发并维护,当前版本 v1.0.0。

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