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Video Editing Classes
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
53
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0
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0
Active Installs
1
Versions
Install in OpenClaw
/install video-editing-classes
Description
Get edited tutorial clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something li...
Usage Guidance
This skill appears to do what it says: it uploads your video and controls a cloud rendering service (mega-api-prod.nemovideo.ai) using a single NEMO_TOKEN (or an automatically obtained anonymous token). Before installing or using it, consider:
- Privacy/ownership: your uploaded footage is sent to a third-party service. Don’t upload sensitive or private footage unless you trust their handling and retention policies. Ask for the service's privacy policy and data retention terms.
- Tokens: you can supply your own NEMO_TOKEN to avoid anonymous token creation; otherwise the skill will call the API to mint a 7-day anonymous token. If you prefer, provide a token you control and revoke it when done.
- Attribution and local reads: the skill will read its own frontmatter and may inspect install paths to set an X-Skill-Platform header — this is limited but means the agent may check certain paths.
- Network traffic: all operations contact https://mega-api-prod.nemovideo.ai. If you need higher assurance, verify the domain/operator (homepage, repo, privacy policy) before uploading content.
What would raise confidence: a known homepage or source repository, published privacy/security docs, or an operator identity and terms of service for nemovideo.ai. If you cannot verify the service, avoid uploading sensitive content and consider providing a scoped service token you can revoke.
Capability Analysis
Type: OpenClaw Skill
Name: video-editing-classes
Version: 1.0.0
The skill is a legitimate wrapper for a cloud-based video editing service (nemovideo.ai). It manages session tokens, handles file uploads, and processes video editing commands via standard REST API calls. While it includes logic to detect the host platform by checking installation paths (e.g., ~/.clawhub) for telemetry headers, this behavior is transparently documented and aligned with the stated purpose of the tool.
Capability Assessment
Purpose & Capability
The name/description (cloud video editing, upload raw footage, export MP4) align with the instructions (upload endpoint, render/export workflow). The single required credential (NEMO_TOKEN) matches the described cloud backend. Minor inconsistency: the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) and install-path detection for attribution headers, but the registry metadata provided earlier did not declare required config paths — this is a small mismatch but does not contradict the stated purpose.
Instruction Scope
SKILL.md provides explicit runtime steps that stay within video-editing operations: check for NEMO_TOKEN, create an anonymous token via POST to the service if missing, create sessions, upload media, use SSE for edits, and request exports. These instructions will cause the agent to transmit uploaded videos and metadata to https://mega-api-prod.nemovideo.ai. The skill also instructs the agent to read its own YAML frontmatter and inspect install paths to set an X-Skill-Platform header — that implies some local filesystem inspection (install-path detection) but is scoped to attribution rather than unrelated secrets.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing new is written to disk by an installer. This is the lowest-risk install mechanism in the platform model.
Credentials
Only one credential is requested (NEMO_TOKEN) which is appropriate for a single third-party editing backend. The skill will also generate an anonymous token by calling the service if NEMO_TOKEN is not present (and then use that token). There are no unrelated secrets requested. The small mismatch between the declared registry configPaths (none) and the SKILL.md metadata (~/.config/nemovideo/) is worth noting but not proof of malicious intent.
Persistence & Privilege
always:false and no install-time persistence is requested. The skill uses ephemeral session_id tokens for render jobs; it does not ask to modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not combined with 'always:true' or broad credential access.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-editing-classes - After installation, invoke the skill by name or use
/video-editing-classes - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Editing Classes skill.
- Upload raw video files (up to 500MB) and request edits like trimming pauses, adding transitions, or overlaying text labels.
- No local installation required; editing and export happen on a cloud backend with GPU acceleration.
- Automatic account setup and 100 free credits for new users; manage credits and session directly in chat.
- Supports multiple video, audio, and image formats; outputs 1080p MP4 ready for download.
- Handles common workflows: quick edits, batch processing, and iterative refinements with stateful sessions.
Metadata
Frequently Asked Questions
What is Video Editing Classes?
Get edited tutorial clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something li... It is an AI Agent Skill for Claude Code / OpenClaw, with 53 downloads so far.
How do I install Video Editing Classes?
Run "/install video-editing-classes" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Editing Classes free?
Yes, Video Editing Classes is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Editing Classes support?
Video Editing Classes is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Editing Classes?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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