← Back to Skills Marketplace
39
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install video-auto-editing
Description
Get edited video clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like...
Usage Guidance
This skill will upload your raw video files to a third‑party cloud service (mega-api-prod.nemovideo.ai) and requires a NEMO_TOKEN (or will request an anonymous token from that service). Before installing: 1) confirm you trust the nemo service and its privacy/retention policy for video content; 2) prefer using a short‑lived or anonymous token instead of pasting a long-lived credential you reuse elsewhere; 3) be aware the skill's runtime may check your home folders (it detects install paths like ~/.clawhub/ and ~/.cursor/skills/) to populate attribution headers — that is a small privacy surface you may want to avoid; 4) note the SKILL.md metadata lists a config path (~/.config/nemovideo/) although the registry did not — ask the publisher which files (if any) will be read. If any of these points worry you, don't install or provide credentials until the publisher clarifies.
Capability Analysis
Type: OpenClaw Skill
Name: video-auto-editing
Version: 1.0.0
The video-auto-editing skill is a functional integration for the NemoVideo AI service, enabling an agent to automate video editing tasks via the mega-api-prod.nemovideo.ai backend. The SKILL.md file provides detailed instructions for authentication (including anonymous token generation), session management, file uploads, and polling for render completion. While the skill performs network requests and handles user files, these actions are transparently documented and strictly aligned with the stated purpose of AI-driven video editing without evidence of malicious intent or unauthorized data exfiltration.
Capability Assessment
Purpose & Capability
Name/description (auto video editing) matches the actions described (upload, SSE editing, export). Requesting a single service credential (NEMO_TOKEN) is appropriate. However the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) and runtime logic to detect install paths (~/.clawhub/, ~/.cursor/skills/) while the registry metadata lists no required config paths — this mismatch is an incoherence to be aware of.
Instruction Scope
The SKILL.md instructs the agent to (a) contact an external API (mega-api-prod.nemovideo.ai) for session creation, SSE streaming, uploads, and rendering; (b) upload user video files (multipart or URL); and (c) detect the skill install path to populate X-Skill-Platform header. Detecting install path requires reading the user's home filesystem. All of these are consistent with a cloud editing service, but the filesystem check is privacy-sensitive and broader than purely editing functionality.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code — lowest install risk. Nothing will be written to disk by an installer step in the skill package itself.
Credentials
The skill declares a single primary env var (NEMO_TOKEN), which fits a cloud API integration. The agent will also obtain an anonymous token from the service if NEMO_TOKEN is absent. That behavior is reasonable but means network calls will be able to obtain transient credentials; users should not supply a long-lived or highly-privileged token unless they trust the service. The SKILL.md references configPaths in metadata that the registry did not list — unclear if the skill will try to read those paths.
Persistence & Privilege
always:false and normal model invocation settings. The skill does not request permanent inclusion or to modify other skills. No elevated persistence or privileges declared.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-auto-editing - After installation, invoke the skill by name or use
/video-auto-editing - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release: video-auto-editing 1.0.0 brings fast AI-powered video editing for content creators and marketers.
- Upload raw footage (up to 500MB); describe edits in natural language; receive a ready-to-post 1080p MP4.
- Automatic session and token management with support for anonymous/free usage and credit system.
- Handles edits like trimming silences, adding transitions, syncing to music, and more via natural prompts.
- Supports common video/audio/image formats and provides clear guidance for all workflows and errors.
- Cloud render pipeline returns results in about 1–2 minutes for short clips; easy export and download.
Metadata
Frequently Asked Questions
What is Video Auto Editing?
Get edited video clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like... It is an AI Agent Skill for Claude Code / OpenClaw, with 39 downloads so far.
How do I install Video Auto Editing?
Run "/install video-auto-editing" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Auto Editing free?
Yes, Video Auto Editing is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Auto Editing support?
Video Auto Editing is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Auto Editing?
It is built and maintained by mory128 (@mory128); the current version is v1.0.0.
More Skills