Online Free Ai Tool

v1.0.0

edit video clips into polished MP4 files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for editing and enhancing...

⭐ 0· 70·0 current·0 all-time

by@whitejohnk-26

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for whitejohnk-26/online-free-ai-tool.

Previewing Install & Setup.

Prompt PreviewInstall & Setup

Install the skill "Online Free Ai Tool" (whitejohnk-26/online-free-ai-tool) from ClawHub.
Skill page: https://clawhub.ai/whitejohnk-26/online-free-ai-tool
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 online-free-ai-tool

ClawHub CLI

Package manager switcher

npx clawhub@latest install online-free-ai-tool

Security Scan

VirusTotal

Pending

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OpenClaw

Suspicious

medium confidence

ℹ

Purpose & Capability

The skill claims cloud video editing and requires a single token (NEMO_TOKEN), which is consistent with a remote editing service. However the SKILL.md frontmatter also references a config path (~/.config/nemovideo/) while the registry metadata shows no required config paths — an internal inconsistency. Overall the core capability (video upload, SSE, render/export) aligns with the purpose.

Instruction Scope

Instructions require using NEMO_TOKEN or obtaining an anonymous token via an external POST, creating sessions, uploading files, streaming SSE, and polling render endpoints — all expected. But the doc also instructs the agent to detect install path (e.g. ~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform and to derive headers from this file's YAML frontmatter. Detecting install paths or reading config paths is not necessary for video editing and would cause the agent to probe the user's filesystem, which is scope creep and privacy-sensitive.

✓

Install Mechanism

Instruction-only skill with no install spec and no code files. This is low-risk from an install perspective because nothing is downloaded or written by an installer step.

ℹ

Credentials

Only NEMO_TOKEN is declared as required, which is proportionate to a remote API. But the SKILL.md implies optional use of a config path (~/.config/nemovideo/) and asks to detect install directories; these expand the scope of data the skill may read beyond the declared env var. That mismatch is concerning.

✓

Persistence & Privilege

The skill is not force-included (always:false) and does not request persistent system privileges. It creates transient sessions on the remote service, which is normal for this functionality.

What to consider before installing

This skill appears to implement a remote video-editing flow and needs a NEMO_TOKEN or will fetch an anonymous token from mega-api-prod.nemovideo.ai. But the SKILL.md asks the agent to detect local install paths and references a local config path (~/.config/nemovideo/), which is unnecessary for editing and could expose filesystem layout or configuration. Also the skill has no homepage and an unknown source. Before installing: (1) verify the service domain and vendor (search for Nemovideo / mega-api-prod.nemovideo.ai and a privacy/terms page), (2) avoid placing sensitive credentials in NEMO_TOKEN unless you trust the service, (3) ask the publisher why the skill needs to detect install paths or read ~/.config, and (4) consider running the skill in a sandboxed environment or denying filesystem access if possible. If you cannot verify the publisher or these questions remain unanswered, treat the skill as higher risk and avoid supplying long-lived tokens.

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

Runtime requirements

🎬 Clawdis

EnvNEMO_TOKEN

Primary envNEMO_TOKEN

latestvk9738p61c99fcxzdmv93c2sgf185ajex

70downloads

0stars

1versions

Updated 6d 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 pauses, add captions, 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.

Online Free AI Tool — Edit and Export Videos Free

This tool takes your video clips 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 raw screen recording and want to trim the pauses, add captions, and export as MP4 — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 60 seconds process noticeably faster.

Matching Input to Actions

User prompts referencing online free ai tool, 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":"<lang>"}`. 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/<sid>`	POST	Upload a file (multipart) or URL.
`/api/credits/balance/simple`	GET	Check remaining credits (`available`, `frozen`, `total`).
`/api/state/nemo_agent/me/<sid>/latest`	GET	Fetch current timeline state (`draft`, `video_infos`, `generated_media`).
`/api/render/proxy/lambda`	POST	Start export. Body: `{"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"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.

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

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.

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=<id>` (get `<id>` 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

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.

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 field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

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 captions, and export as MP4" — 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 captions, and export as MP4" → 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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