← Back to Skills Marketplace
peand-rover

Video Trimmer Free Download

by peandrover adam · GitHub ↗ · v1.0.4 · MIT-0
cross-platform ⚠ suspicious
143
Downloads
0
Stars
0
Active Installs
3
Versions
Install in OpenClaw
/install video-trimmer-free-download
Description
Tell me what you need and I'll help you find, use, and get the most out of a video-trimmer-free-download tool that fits your device and editing goals. Whethe...
Usage Guidance
What to consider before installing: - This skill will contact an external service (mega-api-prod.nemovideo.ai) and upload your video files to that service for processing. Only proceed if you are comfortable with your videos being sent to a third party. - The skill metadata requires NEMO_TOKEN but the instructions will create an anonymous token automatically if you don't set one. Ask the provider why NEMO_TOKEN is required in metadata and whether anonymous tokens have limitations (retention, privacy, or rate limits). - The skill reads install/config paths (e.g., ~/.config/nemovideo/, ~/.clawhub/) to set attribution headers. If you prefer not to expose local install information, don't install or ask for an option to skip that step. - Confirm the service's privacy policy and retention/deletion policy for uploaded media and session data. Verify whether exported signed URLs are short-lived and whether data is stored longer than needed. - If you need offline trimming or want to avoid cloud uploads for privacy reasons, use a local tool instead. - Because the source/homepage is unknown, prefer caution: ask the publisher for a repository or official homepage, concrete privacy terms, and an explanation of the anonymous-token flow and what is stored. If you can't get satisfactory answers, treat this skill as high-risk for sensitive content. If you want higher confidence, request the skill's source code or an official homepage, and clarification about token/session storage, retention, and what metadata the skill sends with each request.
Capability Analysis
Type: OpenClaw Skill Name: video-trimmer-free-download Version: 1.0.4 The skill is a functional integration for a cloud-based video editing service hosted at nemovideo.ai. It contains standard API interaction logic, including automated anonymous token acquisition, session management, and Server-Sent Events (SSE) handling for video processing tasks. While it performs background network requests and manages its own configuration directory (~/.config/nemovideo/), these actions are consistent with the stated purpose of providing video trimming capabilities. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.
Capability Tags
requires-oauth-token
Capability Assessment
Purpose & Capability
The skill legitimately needs access to a remote processing backend to perform cloud trimming/exporting, and the declared NEMO_TOKEN credential fits that purpose. However, the skill metadata lists NEMO_TOKEN as a required env var while the runtime instructions explicitly generate an anonymous token if none is present — this mismatch is unexpected. The declared configPath (~/.config/nemovideo/) and install-path detection (to set X-Skill-Platform) are not strictly necessary for a simple 'finder' skill but are explainable if the service needs attribution headers.
Instruction Scope
The SKILL.md instructs the agent to automatically connect to a remote API, create sessions, upload user video files (multipart uploads referencing local file paths), and request exports that return signed download URLs. It also instructs reading YAML frontmatter and detecting install paths on the local filesystem to populate attribution headers. These actions involve transmitting user content and reading local environment/install paths — behavior that is sensitive and should be explicitly consented to by the user.
Install Mechanism
Instruction-only skill with no install spec and no downloadable code — minimal installation risk. Nothing is written to disk by an installer step in the package itself.
Credentials
Only a single credential (NEMO_TOKEN) is declared, which aligns with a remote API. However, metadata requires NEMO_TOKEN while the runtime flow can create an anonymous token automatically; this inconsistency is confusing. The skill also references a local config path and will read install paths for header attribution, which is outside the simple 'find a trimmer' scenario but could be justified for analytics/attribution — the skill does not justify why it needs persistent config access.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It asks to store a session_id for subsequent API requests (expected for a session-based API) but does not attempt to modify 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 video-trimmer-free-download
  3. After installation, invoke the skill by name or use /video-trimmer-free-download
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.4
**Expanded guidance and clearer onboarding for free video trimming tools.** - Updated skill description to clarify that it now helps users choose, use, and troubleshoot the best free video trimmers for their device and goals. - Added step-by-step onboarding and setup instructions, including clearer first-time connection guidance. - Improved documentation and help text with common use-cases and troubleshooting tips. - API routing, cloud processing, and error handling sections refactored for clarity, with explicit attribution guidance for all requests. - Now includes device- and situation-specific tool suggestions, not just direct trimming.
v1.0.3
**Added new user onboarding and setup flow.** - Greets users proactively on first contact and explains how to start. - Implements auto-setup: checks/generates Client-ID and token, and immediately prepares a session. - Adds clear instructions for first-time users, with ready-to-use example trim commands. - Requires `NEMO_TOKEN` env var and clarifies local persistence of `client_id`. - Minor wording changes and improved summary for initial user experience. - Updates documentation to specify default API endpoint and clarify startup behavior.
v1.0.0
Initial release — trim video clips by describing cuts in chat, no downloads or subscription required. - Instantly trims videos using natural language instructions (e.g., “cut from 0:12 to 1:45”). - Supports mp4, mov, avi, webm, and mkv formats, preserving original quality. - Handles uploads, exports, credits/balance checks, and session management. - Simple environment setup; auto-generates tokens and persists client IDs locally (no passwords stored). - Optimized for clean, precise trims — not a general-purpose editor.
Metadata
Slug video-trimmer-free-download
Version 1.0.4
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 3
Frequently Asked Questions

What is Video Trimmer Free Download?

Tell me what you need and I'll help you find, use, and get the most out of a video-trimmer-free-download tool that fits your device and editing goals. Whethe... It is an AI Agent Skill for Claude Code / OpenClaw, with 143 downloads so far.

How do I install Video Trimmer Free Download?

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

Is Video Trimmer Free Download free?

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

Which platforms does Video Trimmer Free Download support?

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

Who created Video Trimmer Free Download?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.4.

💬 Comments