← Back to Skills Marketplace
Objectremover Video
by
mhogan2013-9
· GitHub ↗
· v1.0.0
· MIT-0
61
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install objectremover-video
Description
Skip the learning curve of professional editing software. Describe what you want — remove the car parked in the background from the entire video — and get cl...
Usage Guidance
This skill will upload your videos to an external service (mega-api-prod.nemovideo.ai) for processing and will use or create a NEMO_TOKEN for API access. Before installing: 1) Confirm the service/operator and privacy policy for uploaded media (sensitive videos will leave your device). 2) Prefer supplying your own NEMO_TOKEN if you want control over identity/credentials rather than letting the skill obtain an anonymous token. 3) Ask the publisher to clarify the config path behavior: will the skill read/write ~/.config/nemovideo/ or other local files? Where are generated tokens/client IDs stored and for how long? 4) If you are uncomfortable with automatic uploads or persistent tokens, do not install or set disable-model-invocation/autonomous usage to restrict automatic runs. 5) Because this is instruction-only (no code to audit), treat network calls and credential creation as the primary risk surface.
Capability Analysis
Type: OpenClaw Skill
Name: objectremover-video
Version: 1.0.0
The objectremover-video skill is a legitimate integration for the NemoVideo AI service, designed to automate video object removal via a cloud API. The SKILL.md file provides clear instructions for authentication (using NEMO_TOKEN or an anonymous token flow), file uploading, and session management with the backend at mega-api-prod.nemovideo.ai. There is no evidence of data exfiltration, unauthorized command execution, or malicious prompt injection; the requested environment and file access are strictly aligned with the stated purpose of video processing.
Capability Assessment
Purpose & Capability
The skill's name/description (remote AI object removal) aligns with the actions described (upload, render, export). Requested primary credential (NEMO_TOKEN) is appropriate for a cloud API. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths — this mismatch should be clarified (will the skill read/write local config?).
Instruction Scope
Instructions direct the agent to perform network operations (anonymous token generation, session creation, SSE streaming, file uploads) which are expected for a cloud-render service. They also instruct 'auto-detect' platform from the install path and reference a local config path — that implies the agent may read filesystem locations beyond just environment variables. The skill also auto-generates and uses anonymous tokens if NEMO_TOKEN is not present; this behavior should be explicit to the user and the storage location for created tokens should be confirmed.
Install Mechanism
No install spec or code files are present (instruction-only). That minimizes disk-write risk; the skill does not download or install arbitrary third-party code.
Credentials
Only NEMO_TOKEN is declared (primary credential), which is proportionate. But the SKILL.md will create/use an anonymous NEMO_TOKEN if none is provided and may expect or write config under ~/.config/nemovideo/ (frontmatter). The registry said no config paths, so it's unclear whether the skill will persist tokens or client IDs locally. Automatic token creation and implicit storage increases privacy/credential risk if not made explicit.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. Still, its runtime behavior includes creating tokens and long-lived sessions/SSE connections and may persist a client id or token to a config path (per frontmatter). Confirm whether the skill will persist credentials or other state and where.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install objectremover-video - After installation, invoke the skill by name or use
/objectremover-video - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of objectremover-video skill for automatic object removal from video clips.
- Supports uploads up to 500MB in MP4, MOV, AVI, and WebM formats.
- Cloud-based processing—describe editing requests and get results in 1-2 minutes.
- Automatic setup: handles token, session, and backend connection for you.
- Covers export, credits, upload, and session management with clear error handling.
- Ideal for creators wanting distraction-free videos without manual editing.
Metadata
Frequently Asked Questions
What is Objectremover Video?
Skip the learning curve of professional editing software. Describe what you want — remove the car parked in the background from the entire video — and get cl... It is an AI Agent Skill for Claude Code / OpenClaw, with 61 downloads so far.
How do I install Objectremover Video?
Run "/install objectremover-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Objectremover Video free?
Yes, Objectremover Video is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Objectremover Video support?
Objectremover Video is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Objectremover Video?
It is built and maintained by mhogan2013-9 (@mhogan2013-9); the current version is v1.0.0.
More Skills