Ai Video Editing Free

v1.0.0

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...

0· 97·0 current·0 all-time

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for mory128/ai-video-editing-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Ai Video Editing Free" (mory128/ai-video-editing-free) from ClawHub.
Skill page: https://clawhub.ai/mory128/ai-video-editing-free
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-video-editing-free

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-video-editing-free
Security Scan
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OpenClawOpenClaw
Benign
medium confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk976f91bxrc9b42rbgycb5t6f584kv9y
97downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

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...ActionSkip 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":"<lang>"}. 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/<sid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> 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:

HeaderValue
X-Skill-Sourceai-video-editing-free
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

All requests must include: Authorization: Bearer <NEMO_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

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate 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.

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