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susan4731-wilfordf

Product Video Cutter Online

by susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
110
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0
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0
Active Installs
1
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Install in OpenClaw
/install product-video-cutter-online
Description
Get trimmed product clips ready to post, without touching a single slider. Upload your product video footage (MP4, MOV, AVI, WebM, up to 500MB), say somethin...
Usage Guidance
This skill appears to do what it says (upload your footage to a remote rendering service and return trimmed clips) and only asks for one credential (NEMO_TOKEN). Before installing or using it: - Remember you will be uploading video to an unknown third-party host (mega-api-prod.nemovideo.ai). Do not upload sensitive or confidential footage until you confirm the provider's privacy policy and security practices. - Prefer supplying your own NEMO_TOKEN (if you have one) rather than letting the skill generate an anonymous token, and store that token securely. Treat NEMO_TOKEN as a secret. - Ask the skill author to clarify the metadata inconsistency: SKILL.md includes a configPaths entry (~/.config/nemovideo/) and mentions detecting install paths for headers — confirm whether the agent will read local files or only compute headers from known install locations without reading other config or secrets. - If you are uncomfortable with any local path inspection, do not grant the skill access to your filesystem or run it in an environment with sensitive files. Given the lack of an author homepage or source and the subtle metadata/registry mismatch, exercise caution and seek clarification before uploading real production or private videos.
Capability Analysis
Type: OpenClaw Skill Name: product-video-cutter-online Version: 1.0.0 The skill is a functional wrapper for a video editing service hosted at nemovideo.ai. It manages API authentication, file uploads, and rendering tasks as described in its documentation. No indicators of malicious intent, unauthorized data access, or harmful prompt injection were identified; all network activity is directed to the service's legitimate endpoints (mega-api-prod.nemovideo.ai).
Capability Assessment
Purpose & Capability
The name and description (product video cutting) align with the runtime instructions: creating sessions, uploading video files, streaming edits, and requesting renders from https://mega-api-prod.nemovideo.ai. Requesting a single token (NEMO_TOKEN) is proportionate for a hosted service API.
Instruction Scope
Instructions stay within the stated purpose (session creation, upload, SSE, render/polling). However, the SKILL.md instructs generating anonymous tokens and saving them as NEMO_TOKEN, and it describes deriving headers that include an installation path detector (e.g., checking ~/.clawhub/ or ~/.cursor/skills/), which implies the agent may inspect local paths. The SKILL.md does not explicitly instruct reading other system secrets, but the install-path detection and a metadata configPaths entry (~/.config/nemovideo/) could encourage reading local config — ask the author to clarify what local files, if any, the agent will access.
Install Mechanism
No install spec and no code files (instruction-only) — lowest install risk. The skill simply describes remote API usage; nothing is downloaded or written by an installer in the manifest.
Credentials
Only NEMO_TOKEN is required, which is appropriate for a hosted video-processing API. Still, the skill may create and store an anonymous token if none exists. Treat NEMO_TOKEN as a sensitive credential — the skill will use it for all API calls. The metadata references a config path (~/.config/nemovideo/) even though the registry reported no required config paths; this mismatch should be clarified.
Persistence & Privilege
The skill is not set to always:true and does not request system-wide persistence. It does instruct saving a session_id returned by the API (expected for interactive sessions). Autonomous invocation is allowed by default but not combined with other high-risk requests.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install product-video-cutter-online
  3. After installation, invoke the skill by name or use /product-video-cutter-online
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Product Video Cutter Online — Initial Release - Instantly cut and export product video clips via a streamlined cloud workflow. - Upload video footage (MP4, MOV, AVI, WebM, up to 500MB) and use natural language to describe edits (e.g., "cut out the intro and trim to 30 seconds for Instagram"). - Automatic session and token management, including anonymous access with 100 free credits. - Exports high-quality 1080p MP4 clips processed on remote GPU nodes, ready to download in under a minute. - Supports workflows for quick edits, batch processing, and iterative improvements; shows download, credits status, and current timeline summary. - Handles errors gracefully with clear messaging for uploads, exports, credits, and session state.
Metadata
Slug product-video-cutter-online
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Product Video Cutter Online?

Get trimmed product clips ready to post, without touching a single slider. Upload your product video footage (MP4, MOV, AVI, WebM, up to 500MB), say somethin... It is an AI Agent Skill for Claude Code / OpenClaw, with 110 downloads so far.

How do I install Product Video Cutter Online?

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

Is Product Video Cutter Online free?

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

Which platforms does Product Video Cutter Online support?

Product Video Cutter Online is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Product Video Cutter Online?

It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.

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