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Video Local
by
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
48
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install video-local
Description
Skip the learning curve of professional editing software. Describe what you want — trim the intro, add background music, and export for YouTube — and get edi...
Usage Guidance
This skill claims to edit "local" videos but the runtime instructions upload your files to a remote API (mega-api-prod.nemovideo.ai) and may probe local paths (~/.clawhub/, ~/.cursor/skills/, ~/.config/nemovideo/) to set headers — so it is not offline/local-only. Before installing or using it: (1) assume your videos will be transmitted to the vendor's servers; do not send sensitive footage. (2) Ask the publisher how long uploads and derived data are retained, who operates the endpoint, and whether uploads are encrypted/isolated. (3) If you need true local-only editing, do not use this skill. (4) Consider testing with a non-sensitive short clip first and only provide a minimal-scoped token (or use the anonymous token flow) if you accept cloud processing. (5) Note the metadata inconsistency about config paths and ask the author to clarify why the skill needs to inspect local directories.
Capability Analysis
Type: OpenClaw Skill
Name: video-local
Version: 1.0.0
The skill is a functional integration for a cloud-based video editing service (nemovideo.ai). It provides instructions for the agent to manage sessions, upload video files, and poll for rendering status. While it involves uploading local files to a remote API and managing an API token (NEMO_TOKEN), these actions are transparently documented and directly support the stated purpose of AI-assisted video editing. No evidence of malicious intent, data exfiltration of sensitive system files, or unauthorized execution was found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
The name/description emphasize "local" editing, but the SKILL.md describes uploading user video files to https://mega-api-prod.nemovideo.ai and doing all rendering server-side. That is a meaningful mismatch between user expectation (local-only) and actual behavior. Additionally, the SKILL.md metadata declares a required configPaths (~/.config/nemovideo/) and detection of install paths (~/.clawhub/, ~/.cursor/skills/), which are not reflected in the registry requirement summary — another inconsistency.
Instruction Scope
Runtime instructions tell the agent to: generate an anonymous token (POST /api/auth/anonymous-token), create sessions, upload local files via multipart POST (/api/upload-video/...), stream SSE (/run_sse), poll render status, and include many headers. They also instruct detecting local install paths to set X-Skill-Platform, which implies reading filesystem paths (~/.clawhub/, ~/.cursor/skills/) and potentially ~/.config/nemovideo/. These filesystem checks and uploads go beyond simple editing instructions and can reveal environment information and transmit user files to a third-party API — inconsistent with a strictly local editing claim.
Install Mechanism
Instruction-only skill with no install steps or downloaded code, so it does not write new binaries to disk or pull remote archives. This is the lowest install risk.
Credentials
The skill requests a single credential (NEMO_TOKEN) which is appropriate for a hosted service. However, SKILL.md metadata also references a config path (~/.config/nemovideo/) and requires detecting installation directories; that expands the scope of data the agent may read beyond just one token and is not justified by the registry metadata inconsistency.
Persistence & Privilege
The skill does not request always:true and has no install-time hooks. It instructs saving session_id and using tokens for API calls, which is normal for session-based APIs and does not indicate elevated platform privileges or modifications to other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-local - After installation, invoke the skill by name or use
/video-local - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Local — fast, simple AI-powered editing for local video files.
- Upload MP4, MOV, AVI, or WebM files up to 500MB and get AI-edited videos in 1–2 minutes.
- Edit by describing your needs (e.g., trim, add audio, export for YouTube) without using complex software.
- Automatic session and token management for quick onboarding; free token available at startup.
- Cloud GPU rendering with easy export/download, supporting various formats and quality settings.
- Simple commands for editing, status check, credits, and export, all managed via a streamlined chat workflow.
Metadata
Frequently Asked Questions
What is Video Local?
Skip the learning curve of professional editing software. Describe what you want — trim the intro, add background music, and export for YouTube — and get edi... It is an AI Agent Skill for Claude Code / OpenClaw, with 48 downloads so far.
How do I install Video Local?
Run "/install video-local" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Local free?
Yes, Video Local is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Local support?
Video Local is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Local?
It is built and maintained by linmillsd7 (@linmillsd7); the current version is v1.0.0.
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