← Back to Skills Marketplace
whitejohnk-26

Opus Clip

by whitejohnk-26 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
67
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install opus-clip
Description
Get short viral clips ready to post, without touching a single slider. Upload your long-form video (MP4, MOV, AVI, WebM, up to 500MB), say something like "cl...
Usage Guidance
This skill appears to be what it says: a cloud-based video clipper that requires a single service token. Before installing or using it, consider: (1) The service host (mega-api-prod.nemovideo.ai) will receive any uploaded video — do not upload sensitive content unless you trust the service and reviewed its privacy policy/retention rules. (2) If NEMO_TOKEN is not provided, the skill will POST to an anonymous-token endpoint to obtain a short-lived token automatically (this is normal but is a network call you should expect). (3) The SKILL.md asks the agent to detect its install path to set an X-Skill-Platform header — that can reveal which client/runtime path is in use; if you prefer not to expose that, provide a token and/or review how the agent builds headers. (4) There is a small metadata inconsistency (frontmatter mentions a config path while the registry metadata did not); not necessarily malicious but worth verifying. Lastly, the skill source/homepage is unknown — if you need stronger assurance, ask the publisher for a homepage or privacy/security documentation before uploading production or sensitive videos.
Capability Analysis
Type: OpenClaw Skill Name: opus-clip Version: 1.0.0 The skill provides a functional interface for the Opus Clip video processing service, communicating with the backend at mega-api-prod.nemovideo.ai. It handles authentication via environment variables or anonymous token generation, manages video upload/rendering sessions, and processes server-sent events (SSE) for real-time updates. All identified behaviors, including platform detection for attribution and local configuration access, are consistent with the stated purpose of a video editing integration and show no signs of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
Name/description (cloud video clipper) matches the declared primary credential (NEMO_TOKEN) and the SKILL.md instructs only calls to nemovideo.ai endpoints for uploads, SSE, rendering and exports. Nothing else (no AWS keys, no unrelated service tokens) is requested. Note: the SKILL.md frontmatter lists a configPaths entry (~/.config/nemovideo/) even though the registry summary above reported no required config paths — a discrepancy in metadata but not itself a functional mismatch.
Instruction Scope
The instructions keep scope focused on uploading videos, starting sessions, streaming SSE, polling render status, and exporting results from mega-api-prod.nemovideo.ai. They instruct the agent to use NEMO_TOKEN (or obtain a short-lived anonymous token via the anonymous-token endpoint) and to include attribution headers. One privacy-relevant instruction: detect the agent's install path to set X-Skill-Platform (e.g., check for ~/.clawhub/ or ~/.cursor/skills/), which implies filesystem inspection to derive a header value. Otherwise the runtime steps do not ask for unrelated files or other environment variables.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is downloaded or written to disk by an installer. This is low risk from an installation perspective.
Credentials
Only one credential is required (NEMO_TOKEN), which is appropriate for calling the vendor API. The skill also describes a local config path in its frontmatter (~/.config/nemovideo/), but the registry's requirement list did not include config paths — this mismatch is a metadata inconsistency. The SKILL.md will attempt to mint an anonymous token if NEMO_TOKEN is absent, which is expected behavior but means the agent will perform a network POST to obtain a token.
Persistence & Privilege
The skill does not request always: true or other elevated platform privileges and does not instruct modifying other skills or system-wide settings. It uses session tokens for transient jobs; no persistent system presence is requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install opus-clip
  3. After installation, invoke the skill by name or use /opus-clip
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Opus Clip 1.0.0 — Initial Release - Instantly convert long-form videos into short, viral-ready clips with AI-powered editing—no manual sliders or timelines required. - Simple upload and prompt-based workflow: describe your desired output (e.g., "clip the best 60-second moments and add captions for TikTok") and receive a ready-to-share 1080p MP4. - Supports video uploads up to 500MB in popular formats (MP4, MOV, AVI, WebM) with fast cloud processing. - Integrated session management, credits system, and robust error handling for a smooth user experience. - Designed for content creators and marketers seeking to repurpose long videos into engaging short clips quickly and easily.
Metadata
Slug opus-clip
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Opus Clip?

Get short viral clips ready to post, without touching a single slider. Upload your long-form video (MP4, MOV, AVI, WebM, up to 500MB), say something like "cl... It is an AI Agent Skill for Claude Code / OpenClaw, with 67 downloads so far.

How do I install Opus Clip?

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

Is Opus Clip free?

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

Which platforms does Opus Clip support?

Opus Clip is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Opus Clip?

It is built and maintained by whitejohnk-26 (@whitejohnk-26); the current version is v1.0.0.

💬 Comments