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Video Editing App In Ai
by
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
77
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0
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0
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1
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Install in OpenClaw
/install video-editing-app-in-ai
Description
Skip the learning curve of professional editing software. Describe what you want — cut out silences, add background music, and export as a short reel — and g...
Usage Guidance
This skill behaves like a cloud video-editing front end: it uploads your video files to nemovideo.ai, obtains/stores an anonymous token if you don't provide one, and keeps a session id for subsequent requests. Before installing: (1) be aware your raw media will leave your machine and be processed by an external service; check the service's privacy/retention policy. (2) The skill can auto-generate and store NEMO_TOKEN and session_id — consider whether you want those credentials persisted by your agent. (3) Note a small metadata mismatch: the skill's frontmatter references a config path (~/.config/nemovideo/) that the registry listing did not; you may want the publisher to clarify. (4) If you require on-device editing or strict data residency, do not install. Otherwise this appears internally consistent with its stated purpose; verify the nemovideo.ai domain and terms if you plan to use it for sensitive content.
Capability Analysis
Type: OpenClaw Skill
Name: video-editing-app-in-ai
Version: 1.0.0
The skill facilitates AI-powered video editing by integrating with the 'nemovideo.ai' API. It includes standard procedures for session management, file uploads, and video rendering, with clear instructions for the agent to handle authentication and user prompts. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found; the use of environment variables and configuration paths is consistent with the stated purpose of the tool.
Capability Assessment
Purpose & Capability
The name/description (cloud AI video editing) matches the runtime instructions: creating a session, uploading video files, running SSE edits, and exporting rendered MP4s. Requiring a service token (NEMO_TOKEN) and calling the nemovideo.ai endpoints is proportional to the stated purpose.
Instruction Scope
SKILL.md instructs the agent to automatically obtain an anonymous token if NEMO_TOKEN is not set, create and store a session_id, upload user video files to the remote render API, and forward SSE responses to the user. These actions are expected for a cloud editing workflow, but they do involve transmitting user media to an external service and storing a token/session for subsequent requests. The instructions also tell the agent to read the skill's YAML frontmatter and to detect an install path to set an X-Skill-Platform header — reading install path metadata is reasonable for attribution but will expose some local path info.
Install Mechanism
There is no install spec and no code files (instruction-only). That minimizes disk writes and unknown package installs. All external behavior is driven by HTTP calls described in SKILL.md.
Credentials
The skill declares a single credential (NEMO_TOKEN), which is appropriate. It also describes how to automatically obtain an anonymous token from the service if the env var is absent. One small inconsistency: the top-level registry metadata lists no required config paths, while the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/). This mismatch should be clarified but does not necessarily indicate malicious intent.
Persistence & Privilege
always:false and normal autonomous invocation settings. The skill instructs storing a session_id and re-using the token, which implies some persistence of credentials/session state; this is expected for an API-backed workflow but means tokens/sessions might be persisted in the agent's storage. The skill does not request system-wide privileges or modification of other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-editing-app-in-ai - After installation, invoke the skill by name or use
/video-editing-app-in-ai - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the Video Editing App in AI skill.
- Instantly edit and export polished videos by simply describing desired changes (e.g., cut silences, add music).
- Supports uploads in MP4, MOV, AVI, WebM formats up to 500MB.
- Automatic cloud-based processing: edits, renders, and returns your video in 1–2 minutes.
- Easy onboarding with free credits; handles user authentication and session creation in the background.
- Clear error messages and status updates, plus timeline previews and flexible export options.
Metadata
Frequently Asked Questions
What is Video Editing App In Ai?
Skip the learning curve of professional editing software. Describe what you want — cut out silences, add background music, and export as a short reel — and g... It is an AI Agent Skill for Claude Code / OpenClaw, with 77 downloads so far.
How do I install Video Editing App In Ai?
Run "/install video-editing-app-in-ai" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Editing App In Ai free?
Yes, Video Editing App In Ai is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Editing App In Ai support?
Video Editing App In Ai is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Editing App In Ai?
It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.
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