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Video Object
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
71
Downloads
0
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0
Active Installs
1
Versions
Install in OpenClaw
/install video-object
Description
Skip the learning curve of professional editing software. Describe what you want — track and highlight the moving car in the background throughout the clip —...
Usage Guidance
This skill uploads your video files to a third-party API (mega-api-prod.nemovideo.ai) and uses a bearer token (NEMO_TOKEN) or an anonymous token it can obtain for you. Before installing or invoking it, consider: 1) Privacy: do you want these videos sent to an external service? Confirm the vendor, retention and deletion policy for uploaded media. 2) Credentials: you can set a specific NEMO_TOKEN or let the skill generate an anonymous token (temporary credits); avoid reusing sensitive credentials. 3) Local access: the skill will read files you provide and may inspect its install path and save session IDs locally — confirm you’re comfortable with that. 4) Metadata mismatch: the SKILL.md mentions a config path (~/.config/nemovideo/) that the registry metadata did not list; ask the author to clarify whether any config files are read or written. If you need stronger assurance, request the skill owner/publisher information, a privacy statement, or an explicit list of headers and local storage behavior before using it with sensitive videos.
Capability Analysis
Type: OpenClaw Skill
Name: video-object
Version: 1.0.0
The video-object skill is a legitimate integration for a cloud-based video processing service hosted at nemovideo.ai. It provides structured instructions for an AI agent to manage video uploads, object tracking, and rendering tasks via a session-based API. The skill includes functional security practices, such as instructions to avoid printing raw tokens and handling specific error codes (e.g., 4001 for unsupported file types). No indicators of malicious intent, such as unauthorized data exfiltration or hidden command execution, were found in SKILL.md or _meta.json.
Capability Assessment
Purpose & Capability
Name/description (object tracking and export) lines up with the runtime instructions: upload video files, create/use a NEMO_TOKEN, create a session, send SSE and render requests to the listed nemo API endpoints. The primary credential requested (NEMO_TOKEN) is appropriate for a hosted processing service.
Instruction Scope
Instructions ask the agent to upload local video files (multipart/form-data or URL uploads), create/use an anonymous token if NEMO_TOKEN is missing, and persist session_id for job polling. They also instruct the agent to derive attribution headers (X-Skill-Source, X-Skill-Version, X-Skill-Platform) including detecting the skill install path. These behaviors are coherent for this kind of remote-service skill but mean the agent will read files you provide and may examine its install path and save session IDs; the doc explicitly warns not to print tokens/raw JSON.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. All network interactions are explicit in SKILL.md; nothing is downloaded or executed on the user's machine by an installer.
Credentials
Only NEMO_TOKEN is declared as required (primary credential), which is proportional. However, the SKILL.md frontmatter references a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths — an inconsistency worth clarifying. The skill can also generate an anonymous token itself if NEMO_TOKEN is not set, so it does not strictly require pre-provisioned credentials.
Persistence & Privilege
always:false and normal autonomous invocation settings. The skill will create and store a session_id (to poll render jobs) and uses bearer tokens for API calls; it does not request elevated system-wide privileges or modify other skills' configuration in the provided instructions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-object - After installation, invoke the skill by name or use
/video-object - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of the "Video Object — Track and Export Object Videos" skill.
- Upload MP4, MOV, AVI, or WebM videos up to 500MB for automatic object tracking and highlighting.
- Describe desired edits (e.g., "track and highlight the moving car") and receive processed results in about 30-90 seconds.
- Supports export to MP4 (H.264), MOV, AVI, WebM, and image/audio formats.
- No need for manual frame-by-frame editing or installing extra software—everything processed server-side.
- Includes credit system for usage, batch editing support, and user session management for iterative workflows.
Metadata
Frequently Asked Questions
What is Video Object?
Skip the learning curve of professional editing software. Describe what you want — track and highlight the moving car in the background throughout the clip —... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.
How do I install Video Object?
Run "/install video-object" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Object free?
Yes, Video Object is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Object support?
Video Object is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Object?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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