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Video Trimmer In
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
63
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Install in OpenClaw
/install video-trimmer-in
Description
Skip the learning curve of professional editing software. Describe what you want — trim the first 2 minutes and cut the silence at the end — and get trimmed...
Usage Guidance
This skill appears to do what it says (cloud AI trimming) and only asks for a single service token, but there are two things to confirm before installing: (1) consent for auto-creating an anonymous NEMO_TOKEN — the skill will POST to mega-api-prod.nemovideo.ai to obtain a token if none is supplied, which creates a 7‑day token and consumes free credits; if you prefer, provide your own NEMO_TOKEN instead of letting it create one; (2) whether the skill will read/write ~/.config/nemovideo/ (the SKILL.md frontmatter references this but the registry metadata did not) — ask the publisher where tokens/config are stored and whether they are persisted. Also avoid uploading sensitive or private videos unless you trust the nemo domain and have checked its privacy/retention policy.
Capability Analysis
Type: OpenClaw Skill
Name: video-trimmer-in
Version: 1.0.0
The skill provides instructions for an AI agent to interface with a cloud-based video editing service (nemovideo.ai). It includes standard procedures for authentication, session management, file uploads, and polling for render status. No evidence of data exfiltration, unauthorized access to sensitive local files, or malicious prompt injection was found; all network activity is directed toward the stated service domain (mega-api-prod.nemovideo.ai).
Capability Assessment
Purpose & Capability
Name and description align with the required NEMO_TOKEN and the described cloud video-rendering API; requiring a single service token is proportionate. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata listed no required config paths — this mismatch is unexplained.
Instruction Scope
Instructions stay within the declared remote service (mega-api-prod.nemovideo.ai) and define upload, SSE, session, export, and polling workflows. They instruct the agent to look for a local NEMO_TOKEN or automatically obtain one via an anonymous-token POST, and to upload user-supplied files by path. Automatic token creation and implicit filesystem access for uploads are reasonable for this skill but widen scope (network calls and local file reads) and should be disclosed to users.
Install Mechanism
No install spec and no code files (instruction-only) — lowest install risk. The skill does not download or write installer artifacts itself.
Credentials
The only declared credential is NEMO_TOKEN (primaryEnv), which fits the service. But the frontmatter's configPaths (~/.config/nemovideo/) suggests the skill may read or write a local config file (e.g., to persist tokens) even though registry metadata reported no required config paths. Also, the runtime behavior to auto-create an anonymous token (and treat it as NEMO_TOKEN) means the skill will perform network-auth operations and may persist credentials unless the storage location is clarified.
Persistence & Privilege
always:false and no instructions to modify other skills or system-wide agent settings. The skill requests no elevated platform privileges beyond normal network and file access for uploads and (possibly) storing its token locally.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-trimmer-in - After installation, invoke the skill by name or use
/video-trimmer-in - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Trimmer In — trim and export clean videos quickly via AI-powered cloud processing.
- Upload MP4, MOV, AVI, or WebM files up to 500MB for automated trimming and export.
- Describe video edits in plain language (e.g., “trim the first 2 minutes and cut the silence at the end”) for fast results.
- Automatic setup with anonymous token generation and session management; notifies user when ready.
- Supports common workflows: quick edits, batch processing, and iterative refinement with session state.
- Clear error handling for file size, format, missing credits, or expired tokens.
- Exports rendered videos as MP4 (and other formats), with download links typically ready in under a minute.
Metadata
Frequently Asked Questions
What is Video Trimmer In?
Skip the learning curve of professional editing software. Describe what you want — trim the first 2 minutes and cut the silence at the end — and get trimmed... It is an AI Agent Skill for Claude Code / OpenClaw, with 63 downloads so far.
How do I install Video Trimmer In?
Run "/install video-trimmer-in" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Trimmer In free?
Yes, Video Trimmer In is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Trimmer In support?
Video Trimmer In is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Trimmer In?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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