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susan4731-wilfordf

Trimmer In Between

by susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install trimmer-in-between
Description
edit video clips into trimmed joined clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for removing unwanted m...
Usage Guidance
This skill appears to be a straightforward cloud-based video trimmer: it will upload your videos and associated metadata to mega-api-prod.nemovideo.ai for processing and will use a NEMO_TOKEN (either one you set or one obtained anonymously). Consider the following before installing/using: (1) Privacy — your videos are sent to a third party; check their retention/terms if the content is sensitive. (2) Credential behavior — if you don't set NEMO_TOKEN yourself, the skill will call an anonymous-token endpoint and use that token (7-day expiry, free credits) — decide whether you prefer to supply your own token. (3) Local reads — the skill will probe a couple of install-path locations and read this SKILL.md frontmatter to build attribution headers; this is low-risk but unnecessary for trimming. (4) Source/maintainer — there is no homepage or source repo listed; if you need higher assurance, ask the publisher for a repo, privacy policy, or official docs before using. If you want the assessment to change: provide the skill's source code or an official homepage/maintainer contact and details about what data the backend retains/how it is protected.
Capability Analysis
Type: OpenClaw Skill Name: trimmer-in-between Version: 1.0.0 The skill provides video editing functionality (trimming and joining) by interfacing with a remote cloud API at mega-api-prod.nemovideo.ai. It includes standard logic for session management, file uploads, and polling for render results. While it requests access to a specific environment variable (NEMO_TOKEN) and a configuration path (~/.config/nemovideo/), these are consistent with its stated purpose of providing a cloud-based video processing service.
Capability Assessment
Purpose & Capability
The skill claims to trim/join videos via a cloud backend and all declared endpoints, headers, and workflows match that purpose. Minor incoherence: requires.env declares NEMO_TOKEN as a required credential yet the runtime instructions include an anonymous-token flow to obtain a NEMO_TOKEN automatically if one is not present.
Instruction Scope
Instructions tell the agent to upload user video files and metadata to https://mega-api-prod.nemovideo.ai and to poll session/render endpoints — this is expected for a cloud render service but is effectively sending user content off-device. The skill also instructs reading local install paths and this file's YAML frontmatter at runtime to populate attribution headers (reads ~/.clawhub/, ~/.cursor/skills/, and the SKILL.md file). Those file reads are not strictly necessary for trimming and leak some environment information; they increase the scope of data the agent accesses.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest install risk profile.
Credentials
Only one credential is declared (NEMO_TOKEN) which is proportional for a remote API. However, the skill's instructions will obtain an anonymous token automatically if none is present, which makes the 'required' designation ambiguous. There are no unrelated credentials requested.
Persistence & Privilege
always is false and the skill is not requesting elevated or persistent platform privileges. It does state that session tokens and job IDs exist server-side (normal for a render service), but it does not request modifying other skills or system-wide settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install trimmer-in-between
  3. After installation, invoke the skill by name or use /trimmer-in-between
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Trimmer In Between — edit and join trimmed video segments in the cloud. - Allows users to remove unwanted middle sections from video clips and seamlessly join the remaining parts. - Supports MP4, MOV, AVI, WebM files up to 500MB; outputs high-quality 1080p MP4 videos in about 20-40 seconds per job. - Runs on cloud GPUs—no installation required, credentials handled automatically with a free 7-day token. - Provides clear workflows for trimming, batch editing, session management, and exporting videos. - Includes robust error handling, format support, and user-friendly instructions for common use cases.
Metadata
Slug trimmer-in-between
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Trimmer In Between?

edit video clips into trimmed joined clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for removing unwanted m... It is an AI Agent Skill for Claude Code / OpenClaw, with 54 downloads so far.

How do I install Trimmer In Between?

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

Is Trimmer In Between free?

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

Which platforms does Trimmer In Between support?

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

Who created Trimmer In Between?

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

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