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Easy Ai Video Editing

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install easy-ai-video-editing
功能描述
Cloud-based easy-ai-video-editing tool that handles quickly editing raw footage into a clean shareable video. Upload MP4, MOV, AVI, WebM files (up to 500MB),...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "trim the pauses, add transitions, and"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Easy AI Video Editing — Edit and Export Polished Videos

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

Say you have a 2-minute unedited phone recording and want to trim the pauses, add transitions, and sync background music — 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 easy ai video editing, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: easy-ai-video-editing
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

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

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 "trim the pauses, add transitions, and sync background music" — 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 → "trim the pauses, add transitions, and sync background music" → 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 implement a real cloud video-editing API, but there are two reasons to be cautious: (1) the skill asks the agent to read local config/install paths and the skill file's YAML frontmatter to build attribution headers — that filesystem access is unnecessary for editing and could expose local metadata; (2) the skill is from an unknown source with no homepage. Before installing or using it: (a) avoid uploading sensitive/private videos until you confirm the service's privacy policy and ownership; (b) prefer using the anonymous-token flow rather than setting a long-lived NEMO_TOKEN tied to an account with other rights; (c) ask the publisher why the skill needs to read ~/.config/nemovideo/ and detect install paths — that should be optional and explained; (d) if you have sensitive credentials or other secrets in your environment or in the indicated config paths, do not enable this skill until you can audit what it will read. If you want higher assurance, request the skill's source code or a homepage and a published privacy/security statement.
功能分析
Type: OpenClaw Skill Name: easy-ai-video-editing Version: 1.0.0 The skill bundle provides a legitimate interface for a cloud-based video editing service hosted at mega-api-prod.nemovideo.ai. The instructions in SKILL.md detail standard API interactions, including session management, file uploads, and status polling, without any evidence of data exfiltration, unauthorized access to sensitive local files, or malicious command execution.
能力评估
Purpose & Capability
Name/description, API endpoints, and required NEMO_TOKEN align with a cloud video-editing service. However the skill metadata and instructions request reading local config paths (~/.config/nemovideo/) and detecting the agent install path to populate attribution headers — behavior that is not required for core editing and looks like scope creep.
Instruction Scope
The SKILL.md directs the agent to: (1) use NEMO_TOKEN or obtain an anonymous token via a remote API, (2) create and reuse session IDs, and (3) read this file's YAML frontmatter and detect the local install path to set attribution headers. Reading install paths and local config files is outside the minimal needs of uploading/processing a video and means the skill will access the agent's filesystem/state.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes on-disk risk because nothing is downloaded or installed by the skill itself.
Credentials
Only one declared credential (NEMO_TOKEN). The skill also supports an anonymous-token fallback, which reduces the need for persistent secrets. No unrelated credentials are requested. Still, supplying NEMO_TOKEN grants the remote service access to any uploads you send.
Persistence & Privilege
always is false and the skill does not request persistent system privileges. The only notable privilege is that runtime instructions ask to read local files/paths for attribution; it does not request modification of other skills or system-wide settings.
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 easy-ai-video-editing
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /easy-ai-video-editing 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
easy-ai-video-editing 1.0.0 — Initial Release - Launches cloud-based AI video editing for quick raw footage cleanup and export. - Supports MP4, MOV, AVI, WebM uploads up to 500MB; delivers polished 1080p MP4 output in 1–2 minutes. - Handles authentication, session management, and error handling automatically. - Provides plain-language editing: trim, transitions, text, audio, aspect ratio, and more via simple prompts. - Checks credit balance, workflow state, and export status through user commands. - Responds with easy-to-follow status updates and timeline summaries throughout the editing process.
元数据
Slug easy-ai-video-editing
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

Easy Ai Video Editing 是什么?

Cloud-based easy-ai-video-editing tool that handles quickly editing raw footage into a clean shareable video. Upload MP4, MOV, AVI, WebM files (up to 500MB),... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 86 次。

如何安装 Easy Ai Video Editing?

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

Easy Ai Video Editing 是免费的吗?

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

Easy Ai Video Editing 支持哪些平台?

Easy Ai Video Editing 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 Easy Ai Video Editing?

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

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