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Video Editor Eddie

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install video-editor-eddie
功能描述
Turn a 2-minute unedited screen recording into 1080p polished edited clips just by typing what you need. Whether it's automatically editing raw footage into...
使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video editing. Or just tell me what you're thinking.

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "cut the pauses, add background music,"

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.

Video Editor Eddie — Edit and Export Finished Videos

This tool takes your raw video footage and runs AI video editing through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 2-minute unedited screen recording and want to cut the pauses, add background music, and export as a clean final video — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 60 seconds process significantly faster.

Matching Input to Actions

User prompts referencing video editor eddie, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source video-editor-eddie
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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 Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

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.

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "cut the pauses, add background music, and export as a clean final video" — 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.

Common Workflows

Quick edit: Upload → "cut the pauses, add background music, and export as a clean final video" → 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 purpose-aligned for cloud video editing. Before using it, make sure you are comfortable sending the selected footage to NemoVideo's API and using or generating a NEMO_TOKEN that may control service sessions or credits.
功能分析
Type: OpenClaw Skill Name: video-editor-eddie Version: 1.0.0 The 'video-editor-eddie' skill is a legitimate tool designed to interface with the nemovideo.ai API for AI-driven video editing. The SKILL.md instructions provide a clear and functional workflow for session management, file uploads, and video rendering. It requests appropriate permissions (NEMO_TOKEN and a specific config directory) and includes security-conscious instructions, such as avoiding the disclosure of raw tokens in the user interface. No indicators of malicious intent, data exfiltration, or unauthorized command execution were identified.
能力评估
Purpose & Capability
The upload/edit/render/download workflow matches the stated video-editing purpose. The main user-notice item is that the editing happens through a third-party cloud rendering pipeline.
Instruction Scope
The skill instructs the agent to connect to the processing API automatically on first interaction. This is disclosed and scoped to setup/session handling for the video service.
Install Mechanism
There is no install spec and no code files; the static scanner reported no findings because this is an instruction-only skill.
Credentials
The NEMO_TOKEN bearer token and cloud API access are proportionate to the stated service integration, but they are still account/session credentials and should be protected.
Persistence & Privilege
The skill saves a session_id and describes 7-day anonymous tokens and render jobs, but the provided artifacts do not show hidden background persistence or privileged local changes.
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 video-editor-eddie
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-editor-eddie 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
- Initial release of Video Editor Eddie: AI-powered video editing from raw upload to polished 1080p export in under 2 minutes. - Simple workflow: upload your footage and describe edits; no timelines or export settings needed. - Cloud GPU backend handles cuts, background music, aspect ratio, overlays, and quick social exports. - Session and credit management automated; free trial with 100 credits for new users. - Supports major video, image, and audio formats up to 500MB. - Built-in error handling and guidance for file type, credits, and export issues.
元数据
Slug video-editor-eddie
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

Video Editor Eddie 是什么?

Turn a 2-minute unedited screen recording into 1080p polished edited clips just by typing what you need. Whether it's automatically editing raw footage into... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 59 次。

如何安装 Video Editor Eddie?

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

Video Editor Eddie 是免费的吗?

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

Video Editor Eddie 支持哪些平台?

Video Editor Eddie 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 Video Editor Eddie?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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