Tiktok Video Editor Online Free

v1.0.0

Turn a 30-second vertical phone recording into 1080p TikTok-ready clips just by typing what you need. Whether it's editing short vertical videos for TikTok p...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for susan4731-wilfordf/tiktok-video-editor-online-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Tiktok Video Editor Online Free" (susan4731-wilfordf/tiktok-video-editor-online-free) from ClawHub.
Skill page: https://clawhub.ai/susan4731-wilfordf/tiktok-video-editor-online-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 tiktok-video-editor-online-free

ClawHub CLI

Package manager switcher

npx clawhub@latest install tiktok-video-editor-online-free
Security Scan
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OpenClawOpenClaw
Benign
medium confidence
Purpose & Capability
Name/description (TikTok video editor) match the declared requirement for a NEMO_TOKEN and interaction with a nemovideo.ai cloud backend. Asking for a token and a configPath for nemovideo (~/.config/nemovideo/) is proportionate to a cloud service integration that uploads and processes video.
Instruction Scope
SKILL.md directs the agent to accept user video uploads and POST them to mega-api-prod.nemovideo.ai, manage sessions and render jobs, and poll for a download URL — all expected for this service. It will auto-generate an anonymous token via the service if NEMO_TOKEN is absent. Note: headers include X-Skill-Platform derived by probing install paths (~/.clawhub/ and ~/.cursor/skills/) which would require checking filesystem paths beyond the declared configPath; that is a small scope creep and worth auditing if you are concerned about filesystem reads.
Install Mechanism
Instruction-only skill with no install spec or code to download — lowest-risk delivery model. It does not write arbitrary archives or install binaries.
Credentials
Only NEMO_TOKEN is declared as required (primaryEnv). The SKILL.md behavior (check for NEMO_TOKEN, otherwise obtain an anonymous token from the service) aligns with that declaration. No unrelated credentials or broad environment access are requested.
Persistence & Privilege
Skill is not always-enabled and allows normal autonomous invocation. It keeps a session_id for job management (expected). Minor concern: the metadata references a config path (~/.config/nemovideo/) and the instructions imply token/session lifecycle (tokens expire in 7 days). The skill may read certain filesystem paths to set attribution headers; that filesystem probing is outside the explicitly declared configPaths and should be considered before granting broad filesystem access.
Assessment
This skill appears to do what it says: it uploads user video files to a nemovideo.ai backend and returns edited exports. Before installing/use: 1) Accept that videos you send will be uploaded to an external service (privacy risk—do not upload sensitive or confidential footage). 2) Verify the backend domain (mega-api-prod.nemovideo.ai) and the service's privacy/TOS if possible. 3) Be aware the skill can auto-create an anonymous NEMO_TOKEN (100 free credits, 7-day expiry); confirm where that token or session info is stored (metadata references ~/.config/nemovideo/). 4) If you operate in a restricted environment, restrict the agent's filesystem/network access because the skill may probe common install paths (~/.clawhub, ~/.cursor/skills) to set headers. 5) If you need stronger assurance, request the skill author/source or test with throwaway content and a throwaway token before using real media.

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

Runtime requirements

🎵 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97fj0j6cvh6e0gxx4c9mrhqh984pm5b
86downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "edit my video clips"
  • "export 1080p MP4"
  • "trim the clip, add trending captions,"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

TikTok Video Editor Online Free — Edit and Export TikTok Videos

Drop your video clips in the chat and tell me what you need. I'll handle the AI video editing on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a 30-second vertical phone recording, ask for trim the clip, add trending captions, and sync background music for TikTok, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — vertical 9:16 video uploads process and export correctly for TikTok without any cropping needed.

Matching Input to Actions

User prompts referencing tiktok video editor online 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is tiktok-video-editor-online-free, 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).

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 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)

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou 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

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 clip, add trending captions, and sync background music for TikTok" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 with H.264 codec for the best TikTok upload compatibility.

Common Workflows

Quick edit: Upload → "trim the clip, add trending captions, and sync background music for TikTok" → Download MP4. Takes 30-60 seconds 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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