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vynbosserman65

Short Video Factory

by vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
52
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Install in OpenClaw
/install short-video-factory
Description
Skip the learning curve of professional editing software. Describe what you want — cut this into five 30-second clips with captions and transitions — and get...
Usage Guidance
This skill appears to be a straightforward cloud-render client: it will upload whatever video files you give it and use a bearer token (NEMO_TOKEN or an anonymous token it can fetch) to call an external API at mega-api-prod.nemovideo.ai. That behavior is consistent with its purpose, but consider the following before installing: - Provenance: The skill has no known homepage or publisher details. If you care about privacy and attribution, prefer skills from known vendors. - Data exfiltration: Your raw video files (which may contain sensitive content) will be uploaded to the service. Only proceed if you trust the destination and its privacy terms. - Tokens and storage: The skill will use or obtain a bearer token and save session identifiers; avoid setting a long-lived or high-privilege token in NEMO_TOKEN unless you trust the service. Prefer the anonymous token flow for testing. - Filesystem checks: The skill may probe a few paths (~/.clawhub, ~/.cursor/skills/, ~/.config/nemovideo/) to set X-Skill-Platform or read its own frontmatter; this is limited but unexpected given the registry claim of no config paths. - Test safely: If you want to try it, test with non-sensitive, low-resolution clips and monitor network activity. Ask the publisher for a privacy policy/endpoints and confirm the domain is legitimate before uploading private content. If you want higher assurance, request the publisher/source code or an official homepage, or prefer a skill integrated with a vendor you trust.
Capability Analysis
Type: OpenClaw Skill Name: short-video-factory Version: 1.0.0 The skill bundle provides a functional integration for the 'nemovideo.ai' service, allowing an AI agent to automate video editing tasks like clipping, captioning, and exporting. It defines clear API interactions for authentication, session management, and file uploads to 'mega-api-prod.nemovideo.ai'. While it requires an API token and performs remote processing, these actions are transparently documented and directly support the stated purpose of the 'Short Video Factory' without evidence of malicious intent or unauthorized data exfiltration.
Capability Assessment
Purpose & Capability
The name/description (short video editing) align with the instructions: the skill uploads source video, creates sessions, streams SSE edits, and requests renders from a remote API. Requesting a NEMO_TOKEN credential is coherent with a hosted rendering service.
Instruction Scope
Runtime instructions explicitly direct the agent to: read NEMO_TOKEN (if present) or obtain an anonymous token via POST; create a session and save session_id; upload local files (multipart) or URLs; poll render status; and add custom attribution headers. These are expected for a cloud render integration but do entail transmitting potentially large user files (videos) and session tokens to the external domain. The skill also instructs detecting install path (~/.clawhub, ~/.cursor/skills/) and reading YAML frontmatter for attribution — this requires limited filesystem inspection beyond the skill file.
Install Mechanism
No install spec or code files are present (instruction-only). That lowers disk/execute risk because nothing is downloaded or installed by the skill itself.
Credentials
The declared primaryEnv NEMO_TOKEN is appropriate. However, metadata includes a configPaths entry (~/.config/nemovideo/) and the SKILL.md instructs filesystem checks to detect install path for the X-Skill-Platform header; these file-path expectations are inconsistent with the registry 'Required config paths: none' and mean the skill may probe a few user paths. Aside from NEMO_TOKEN, no unrelated secrets are requested.
Persistence & Privilege
always:false and normal autonomous invocation settings. The skill does not request persistent system-level privileges or to modify other skills. It will persist session_id and use tokens for API calls as part of normal operation.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install short-video-factory
  3. After installation, invoke the skill by name or use /short-video-factory
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Short Video Factory 1.0.0 — Initial Release - Instantly create and export short video clips with AI, no editing software required. - Upload raw videos (MP4, MOV, AVI, WebM up to 500MB) and describe edits (cuts, captions, transitions). - Automatic setup with free anonymous token support and cloud-based GPU rendering. - Simple prompt-based workflows for exporting, checking credits, session state, and more. - Supports rapid clip generation, batch processing, and timeline previews with fast turnaround (1–2 minutes per clip). - Built-in error handling and real-time status updates ensure smooth user experience.
Metadata
Slug short-video-factory
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Short Video Factory?

Skip the learning curve of professional editing software. Describe what you want — cut this into five 30-second clips with captions and transitions — and get... It is an AI Agent Skill for Claude Code / OpenClaw, with 52 downloads so far.

How do I install Short Video Factory?

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

Is Short Video Factory free?

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

Which platforms does Short Video Factory support?

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

Who created Short Video Factory?

It is built and maintained by vynbosserman65 (@vynbosserman65); the current version is v1.0.0.

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