← Back to Skills Marketplace
mory128

Video Object Ops

by mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
72
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install video-object-ops
Description
Skip the learning curve of professional editing software. Describe what you want — remove the background person and replace it with a solid color — and get o...
Usage Guidance
This skill appears to do what it says: it uploads videos to a remote render service and returns edited clips. Before installing: 1) Confirm you trust the external host (https://mega-api-prod.nemovideo.ai) — videos and possibly sensitive visual content will be uploaded to their servers. 2) Prefer using the anonymous-token flow (ephemeral token) if you don't want to store a permanent NEMO_TOKEN in your environment. 3) Note the SKILL.md frontmatter references a local config path (~/.config/nemovideo/) but the registry metadata omitted it — ask the publisher whether the skill will read/write that directory. 4) If you must keep private footage local, do not use this skill; or check the service's privacy/retention policy. 5) If you want higher assurance, request a verified source/homepage or inspect a published package/release for the service before enabling the skill.
Capability Analysis
Type: OpenClaw Skill Name: video-object-ops Version: 1.0.0 The video-object-ops skill is a legitimate integration for a remote video editing service hosted at nemovideo.ai. It provides detailed instructions for an AI agent to manage authentication, session state, file uploads, and cloud-based video rendering. The skill includes security-conscious directives, such as preventing the agent from displaying raw tokens or JSON to the user, and its data access is limited to its own configuration directory (~/.config/nemovideo/) and the NEMO_TOKEN environment variable.
Capability Assessment
Purpose & Capability
Name/description (video object editing) align with the required credential (NEMO_TOKEN) and the SKILL.md instructions (upload video, create session, render). The requested environment variable is proportional to the stated purpose.
Instruction Scope
Instructions focus on authenticating, creating a session, uploading videos, sending SSE edit messages, and polling render status — all within the service domain. They explicitly tell the agent not to print tokens or raw JSON. They also instruct deriving attribution headers and detecting an install path to set X-Skill-Platform, which may require checking local paths; this is not strictly needed for core functionality but is low-risk. The SKILL.md frontmatter references a config path (~/.config/nemovideo/) which would imply reading/writing local config, but the registry metadata listed no required config paths — a small inconsistency.
Install Mechanism
Instruction-only skill with no install spec and no code files. Lowest-install risk; nothing is downloaded or written by an installer.
Credentials
Only NEMO_TOKEN is declared as required and is the primary credential, which matches the need to call the remote API. The skill also describes an anonymous-token flow (generate UUID and request a 7-day token) so a token can be obtained without pre-provisioning credentials. The SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) which could permit local token storage — this is related to the skill's purpose but the registry metadata omitted it, creating an inconsistency to verify.
Persistence & Privilege
always is false and model invocation is not disabled (default). The skill does not request persistent system-wide privileges or modify other skills. Autonomous invocation is allowed by default; that is normal but increases blast radius if a malicious skill were present (no evidence of that here).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-object-ops
  3. After installation, invoke the skill by name or use /video-object-ops
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Object Ops — AI-powered video object editing. - Upload MP4, MOV, AVI, or WebM files (up to 500MB) for fast, frame-accurate object edits. - Describe edits in plain language (e.g., "remove the background person and replace it with a solid color") and receive object-edited clips in 30–90 seconds. - Automatic setup and session management with free anonymous tokens; no need to install anything. - Supports common export formats (MP4, MOV, AVI, WebM, etc.) and easy download links. - Ideal for creators looking to manipulate video objects without advanced editing software.
Metadata
Slug video-object-ops
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Object Ops?

Skip the learning curve of professional editing software. Describe what you want — remove the background person and replace it with a solid color — and get o... It is an AI Agent Skill for Claude Code / OpenClaw, with 72 downloads so far.

How do I install Video Object Ops?

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

Is Video Object Ops free?

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

Which platforms does Video Object Ops support?

Video Object Ops is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video Object Ops?

It is built and maintained by mory128 (@mory128); the current version is v1.0.0.

💬 Comments