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peand-rover

Free Video Youtube

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install free-video-youtube
Description
edit video clips into YouTube-ready videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers use it for editing and exporting free...
README (SKILL.md)

Getting Started

Send me your video clips and I'll handle the AI video editing. Or just describe what you're after.

Try saying:

  • "edit a 3-minute YouTube vlog recording into a 1080p MP4"
  • "trim the pauses, add background music, and export for YouTube upload"
  • "editing and exporting free videos for YouTube for YouTubers"

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.

Free Video YouTube — Edit and Export YouTube Videos

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 3-minute YouTube vlog recording and want to trim the pauses, add background music, and export for YouTube upload — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 2 minutes process significantly faster and use fewer credits.

Matching Input to Actions

User prompts referencing free video youtube, 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.

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

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

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 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 background music, and export for YouTube upload" — 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 compatibility with YouTube's upload system.

Common Workflows

Quick edit: Upload → "trim the pauses, add background music, and export for YouTube upload" → 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.

Usage Guidance
This skill appears to be a cloud video editor that uploads your clips to mega-api-prod.nemovideo.ai and uses a NEMO_TOKEN (or will obtain an anonymous token) to perform edits and exports. Before installing or using it: 1) Don't upload sensitive or private video/audio you wouldn't want sent to a third-party service. 2) Note the SKILL.md references a local config path (~/.config/nemovideo/) and infers install paths for headers — the registry metadata you saw did not declare those, so expect the agent may read some filesystem locations to populate headers. 3) If you prefer control, set your own NEMO_TOKEN in the environment rather than allowing the skill to request an anonymous token on your behalf. 4) Verify you trust the domain (mega-api-prod.nemovideo.ai) and review any privacy/terms on their site if possible. If you want more assurance, ask the author for clarification about the config path usage and explicit filesystem accesses, or request a skill version that does not derive headers from local paths.
Capability Analysis
Type: OpenClaw Skill Name: free-video-youtube Version: 1.0.0 The skill bundle is a functional integration for the NemoVideo AI video editing service (mega-api-prod.nemovideo.ai). It provides instructions for an AI agent to handle video uploads, project state management, and cloud-based rendering. While it includes a mechanism for the backend to guide agent actions (interpreting GUI-like commands as API calls) and performs basic environment fingerprinting for attribution headers, these behaviors are strictly limited to the stated purpose of video processing and do not exhibit signs of malicious intent or unauthorized data exfiltration.
Capability Assessment
Purpose & Capability
Name/description (YouTube-ready AI video editing) aligns with the runtime instructions (upload clips, create session, render/export). The declared primary env var NEMO_TOKEN is appropriate. However, SKILL.md metadata declares a config path (~/.config/nemovideo/) and the instructions say to detect install path for an X-Skill-Platform header; the registry metadata presented to the evaluator stated no required config paths. This mismatch about local config/paths is inconsistent.
Instruction Scope
Instructions stay within the editing/export workflow: check/use NEMO_TOKEN, create anonymous token if missing, create a session, upload files, stream SSE for editing, and request renders. That's expected for a cloud editor. Concerns: the skill instructs deriving headers from install paths (may require reading filesystem paths like ~/.clawhub/ or ~/.cursor/skills/) and references a config directory in its frontmatter — these filesystem accesses are not declared in the registry metadata. Also the SKILL.md tells the agent to obtain an anonymous token on the user's behalf, which will cause outbound network calls and issuance of a bearer token tied to a client-id.
Install Mechanism
No install spec and no code files — instruction-only. This minimizes on-disk installation risk; nothing will be downloaded or executed beyond the agent making HTTP requests per the instructions.
Credentials
Only one credential (NEMO_TOKEN) is declared and used, which is proportional for a cloud service. The skill instructs generating an anonymous token via the service if NEMO_TOKEN is absent; that token grants upload/export privileges and expires in 7 days. No unrelated or broad secrets are requested.
Persistence & Privilege
always is false and the skill does not request persistent presence or modify other skills. Autonomous invocation is permitted by default (not a standalone red flag). The skill may create and reuse an ephemeral anonymous token for up to 7 days, which is expected behavior for this flow.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install free-video-youtube
  3. After installation, invoke the skill by name or use /free-video-youtube
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the skill for editing and exporting YouTube-ready videos via cloud AI. - Supports uploading MP4, MOV, AVI, and WebM files up to 500MB and exports in 1080p MP4. - Automatic setup with anonymous token generation for free processing credits. - Handles common workflows: video trimming, background music addition, export, and timeline editing. - Includes user prompt routing for tasks like upload, export, credits check, and status. - Error handling and helpful guidance for unsupported files, size limits, and expired tokens.
Metadata
Slug free-video-youtube
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Free Video Youtube?

edit video clips into YouTube-ready videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers use it for editing and exporting free... It is an AI Agent Skill for Claude Code / OpenClaw, with 81 downloads so far.

How do I install Free Video Youtube?

Run "/install free-video-youtube" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Free Video Youtube free?

Yes, Free Video Youtube is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Free Video Youtube support?

Free Video Youtube is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Free Video Youtube?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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