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Ai Video Editing Free

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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当前安装
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版本数
在 OpenClaw 中安装
/install ai-video-editing-free
功能描述
content creators and students edit raw video footage into edited video clips using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPUs...
使用说明 (SKILL.md)

Getting Started

Ready when you are. Drop your raw video footage here or describe what you want to make.

Try saying:

  • "edit a 2-minute unedited phone recording into a 1080p MP4"
  • "trim the pauses, add transitions, and export a clean final cut"
  • "editing raw footage into polished videos without paid software for content creators and students"

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.

AI Video Editing Free — 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 export a clean final cut — 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 ai video editing free, 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.

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

Header Value
X-Skill-Source ai-video-editing-free
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.

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)

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

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.

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the pauses, add transitions, and export a clean final cut" — 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 pauses, add transitions, and export a clean final cut" → 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 coherent with its stated purpose, but it will upload your video files and interact with a remote service (mega-api-prod.nemovideo.ai). If you don't provide a NEMO_TOKEN it will automatically request an anonymous token from that endpoint. Before installing or using it: 1) confirm you trust the external service and its privacy/terms for uploading media; 2) avoid sending sensitive or private footage unless you accept that it will be transmitted to that third party; 3) prefer providing a token from a known, trusted account if available; and 4) be aware the skill may inspect its install path to set attribution headers (minor local-read behavior). If any of these points worry you, do not install or use the skill until you can verify the backend and token handling.
功能分析
Type: OpenClaw Skill Name: ai-video-editing-free Version: 1.0.0 The skill is a legitimate integration for a cloud-based video editing service hosted at `mega-api-prod.nemovideo.ai`. The SKILL.md file provides detailed instructions for the AI agent to manage authentication (including automated anonymous token generation), session state, and video processing workflows such as uploading, editing via SSE streams, and exporting 1080p MP4 files. While it requires network access and handles user-provided files, these actions are strictly aligned with the stated purpose of the tool, and there is no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description (AI video editing) align with requirements: a single service credential (NEMO_TOKEN) and a config path for ~/.config/nemovideo/ are reasonable for a cloud video-rendering backend. No unrelated credentials or binaries are requested.
Instruction Scope
SKILL.md contains precise API workflows (session creation, SSE chat, upload, export) and instructs the agent to auto-request an anonymous token from https://mega-api-prod.nemovideo.ai if NEMO_TOKEN is missing. It also asks the agent to auto-detect an install path to set X-Skill-Platform header. These network calls and the platform-detection step are within the editing purpose but do cause network traffic and require the agent to read an install path for header attribution.
Install Mechanism
No install spec or code files — instruction-only skill. Nothing will be written to disk by an installer step from the skill itself.
Credentials
Only one credential is required (NEMO_TOKEN), which matches the described backend. The skill will also access ~/.config/nemovideo/ if present. The workflow will create/refresh anonymous tokens via the backend when no token is provided.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. It creates session tokens for short-lived jobs (normal for a cloud render service) and does not ask to modify 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 ai-video-editing-free
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-video-editing-free 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 Free initial release: - Launches cloud-based free AI video editing for content creators and students — edit and export polished MP4 videos up to 1080p, 500MB max. - Accepts MP4, MOV, AVI, WebM uploads; processes jobs within 1–2 minutes via backend API. - User onboarding with anonymous tokens (no sign-up required) and live session status. - Supports quick edits, timeline previews, track management, and credits balance checks. - Includes workflow documentation, common error handling, and attributions for all requests.
元数据
Slug ai-video-editing-free
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 Free 是什么?

content creators and students edit raw video footage into edited video clips using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPUs... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 104 次。

如何安装 Ai Video Editing Free?

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

Ai Video Editing Free 是免费的吗?

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

Ai Video Editing Free 支持哪些平台?

Ai Video Editing Free 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 Free?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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