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Install in OpenClaw
/install video-trimmer-github
Description
trim video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. developers and content creators use it for cutti...
Usage Guidance
This skill appears to do what it says: contact a remote video-rendering API, upload videos, and return exports. Before installing: (1) verify the service domain (mega-api-prod.nemovideo.ai) and confirm you trust it; (2) note that NEMO_TOKEN grants access to your render jobs — treat it like a credential and avoid using high-privilege keys; (3) ask the publisher whether the skill will read ~/.config/nemovideo/ (frontmatter mentions it but the registry metadata did not); (4) prefer generating a limited anonymous token (as described) rather than pasting long-lived secrets; and (5) if you need higher assurance, request the skill source or a known homepage instead of an unknown source before use.
Capability Analysis
Type: OpenClaw Skill
Name: video-trimmer-github
Version: 1.0.0
The skill is a legitimate integration for a cloud-based video editing service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the AI agent to manage sessions, upload video files, and poll for rendering status. While it includes standard telemetry (platform detection) and handles remote tool calls via an SSE stream—which could theoretically be a vector for RCE if the backend were compromised—these are standard architectural patterns for agentic services and there is no evidence of malicious intent, data exfiltration, or unauthorized local execution.
Capability Assessment
Purpose & Capability
The skill claims to trim videos and its instructions solely describe contacting a remote rendering API, uploading files, creating sessions, and exporting results. Requesting a single service token (NEMO_TOKEN) is consistent with this purpose.
Instruction Scope
SKILL.md instructs the agent to obtain or use a NEMO_TOKEN, create sessions, upload files, and handle SSE streams — all expected for a cloud video trimming workflow. It does not instruct reading arbitrary system files or unrelated environment variables. Note: the frontmatter references a config path (~/.config/nemovideo/) that suggests the agent might look for on-disk config; the registry listing did not declare required config paths, which is an inconsistency to verify.
Install Mechanism
No install spec or code is provided (instruction-only), so nothing is written to disk by an installer. This is the lowest install risk.
Credentials
Only NEMO_TOKEN is required as the primary credential, which aligns with the described API usage. However, the frontmatter's mention of a config path (~/.config/nemovideo/) could imply the skill expects on-disk credentials/config; confirm whether the skill will read that directory before installing or providing a token.
Persistence & Privilege
The skill is not marked always:true and uses the platform default (agent-invocable). It does not request system-wide persistence or privileges beyond storing session IDs/tokens needed for API calls.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-trimmer-github - After installation, invoke the skill by name or use
/video-trimmer-github - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Video Trimmer — First Release (v1.0.0)
- Launches a cloud-powered video trimmer supporting MP4, MOV, AVI, WebM videos up to 500MB.
- Allows trimming, cutting, and exporting of video clips as 1080p MP4s—no installation required.
- Automatic setup with free anonymous token (100 credits, 7 days) for new users.
- Fast processing (20–40 seconds typical) with simple upload and text instruction prompts.
- Includes error handling and clear instructions for common workflows and API integrations.
Metadata
Frequently Asked Questions
What is Video Trimmer Github?
trim video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. developers and content creators use it for cutti... It is an AI Agent Skill for Claude Code / OpenClaw, with 99 downloads so far.
How do I install Video Trimmer Github?
Run "/install video-trimmer-github" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Trimmer Github free?
Yes, Video Trimmer Github is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Trimmer Github support?
Video Trimmer Github is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Trimmer Github?
It is built and maintained by tk8544-b (@tk8544-b); the current version is v1.0.0.
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