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dsewell-583h0

Video Trimmer Online

by dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
88
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Install in OpenClaw
/install video-trimmer-online
Description
Turn a 10-minute raw screen recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting unwanted parts from video recordings...
Usage Guidance
This skill appears to do what it says: it uploads your videos to a nemovideo.ai backend for trimming and returns download URLs. Before installing, confirm you trust the mega-api-prod.nemovideo.ai domain and are comfortable with video files being uploaded to that third party. Note the skill will try to detect an install path (it may read certain local paths) and can automatically fetch an anonymous NEMO_TOKEN if you don't provide one — anonymous tokens grant limited, short-lived access (described as 7 days / 100 credits). If you prefer, provide your own NEMO_TOKEN with limited scope or use the anonymous token flow only for non-sensitive clips. Also ask the skill author to clarify the tiny metadata mismatch (configPaths declared in SKILL.md but not in registry metadata) and to confirm exactly which local paths the skill will inspect. If you handle sensitive video content, avoid installing or uploading until you have vendor privacy/retention details.
Capability Analysis
Type: OpenClaw Skill Name: video-trimmer-online Version: 1.0.0 The skill is a functional wrapper for a cloud-based video editing service hosted at mega-api-prod.nemovideo.ai. It provides clear instructions for the agent to handle authentication, file uploads, and session management for video trimming tasks. No evidence of malicious intent, data exfiltration of sensitive local files, or unauthorized execution was found; the behavior is entirely consistent with the stated purpose of remote video processing.
Capability Assessment
Purpose & Capability
The skill is a cloud video-trimming frontend and only requests a single service token (NEMO_TOKEN) used to call the nemovideo.ai API, which is appropriate for the stated purpose. One small inconsistency: the registry metadata at the top lists no required config paths, while the SKILL.md YAML frontmatter includes a configPaths entry (~/.config/nemovideo/). This mismatch is likely a documentation gap rather than a functional red flag, but worth confirming.
Instruction Scope
SKILL.md instructs the agent to create an anonymous NEMO_TOKEN (POST to /api/auth/anonymous-token) when no token is present, create sessions, upload video files (multipart or URL), and poll render endpoints — all expected for a remote render service. It also describes detecting an install path to set an X-Skill-Platform header (reading filesystem/install path), which requires the agent to examine local paths; this is plausible but worth verifying because it implies filesystem inspection beyond simply receiving an uploaded file. The instructions do not ask the agent to read unrelated secrets or arbitrary user files.
Install Mechanism
This is an instruction-only skill with no install spec and no code to download or execute. That is the lowest-risk install pattern and matches the skill description.
Credentials
Only one environment variable is declared (NEMO_TOKEN) and it is appropriate for a cloud API client. The SKILL.md also documents obtaining an anonymous token from the service if NEMO_TOKEN is absent; that behavior is consistent with the declared primaryEnv. There are no unrelated credentials requested.
Persistence & Privilege
The skill does not request always:true or other elevated persistent privileges, does not ask to modify other skills, and is user-invocable. Autonomous invocation (disable-model-invocation:false) is the platform default and is not itself a problem here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-trimmer-online
  3. After installation, invoke the skill by name or use /video-trimmer-online
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Video Trimmer Online 1.0.0 — Initial Release - Instantly trim, edit, and export video clips by simply describing your desired edits in natural language. - No timeline or export settings; get 1080p trimmed videos in 20–40 seconds, fully cloud-rendered. - Seamless first-time setup: automatic cloud token retrieval, session management, and friendly user prompts ("Connecting...", "Ready!"). - Supports batch processing, timeline previews, text overlays, and multiple export formats (MP4, MOV, AVI, WebM, etc). - Handles errors gracefully and provides clear guidance for credits, file limits, and export issues.
Metadata
Slug video-trimmer-online
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Trimmer Online?

Turn a 10-minute raw screen recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting unwanted parts from video recordings... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.

How do I install Video Trimmer Online?

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

Is Video Trimmer Online free?

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

Which platforms does Video Trimmer Online support?

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

Who created Video Trimmer Online?

It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.

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