← Back to Skills Marketplace
Video Editing With Gpu
by
peandrover adam
· GitHub ↗
· v1.0.0
· MIT-0
88
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install video-editing-with-gpu
Description
Get GPU-rendered MP4 ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, MKV, up to 500MB), say something like "cu...
Usage Guidance
This skill appears to be a straightforward cloud video-editing wrapper, but the source is unknown and there are small inconsistencies to clear up before installing. Ask the publisher (or the registry) to confirm: (1) whether the skill actually reads ~/.config/nemovideo/ or any files on the agent — the registry and SKILL.md disagree; (2) what exact permissions the NEMO_TOKEN grants and whether it can be scoped or revoked; (3) why the skill needs to auto-detect an install path for X-Skill-Platform (that may require filesystem access). Also confirm you trust the endpoint domain (mega-api-prod.nemovideo.ai) before uploading sensitive footage. If you cannot verify these points, treat the skill conservatively (do not provide sensitive videos or long-lived credentials).
Capability Analysis
Type: OpenClaw Skill
Name: video-editing-with-gpu
Version: 1.0.0
The skill is a functional wrapper for a cloud-based video editing service (nemovideo.ai). It manages authentication, file uploads, and GPU-accelerated rendering by interfacing with legitimate API endpoints (e.g., mega-api-prod.nemovideo.ai). All behaviors, including the handling of the NEMO_TOKEN and the transmission of video data to remote servers, are explicitly documented and directly support the stated purpose of the skill without evidence of malicious intent or unauthorized data exfiltration.
Capability Assessment
Purpose & Capability
As described, the skill routes uploads and edit requests to a cloud GPU video service and requires a service token (NEMO_TOKEN) — that is coherent. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths, a mismatch worth clarifying.
Instruction Scope
Runtime instructions are focused on API calls to the nemovideo backend (session creation, SSE chat, upload, export). They do not ask for unrelated system data. Minor scope creep: the skill expects to 'auto-detect' platform from the install path (which implies reading agent/FS context) and mandates specific attribution headers derived from frontmatter — both require access to agent environment or metadata.
Install Mechanism
Instruction-only skill with no install spec or downloaded code — lowest install risk. Nothing is written to disk by an installer step described here.
Credentials
Only NEMO_TOKEN is declared as required which aligns with a cloud video API. Caveats: SKILL.md also references a config path (~/.config/nemovideo/) and expects to auto-detect an install path for X-Skill-Platform; both imply filesystem/config access beyond a simple env var. Verify whether the skill actually reads that config path or only lists it.
Persistence & Privilege
Skill is not set to always:true and uses normal autonomous invocation defaults. It does not request writing or modifying other skills or system-wide agent settings in the instructions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-editing-with-gpu - After installation, invoke the skill by name or use
/video-editing-with-gpu - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Editing with GPU — fast, cloud-rendered MP4 editing and export.
- Upload raw video (MP4, MOV, AVI, MKV, up to 500MB) and receive a GPU-rendered 4K MP4 file, ready to download.
- No manual sliders or local setup required — describe your edits in plain language.
- Automatic connection to backend API, using a session token for fast job processing.
- Supports editing, adding transitions, overlays, text, and audio via simple prompts.
- Built-in error handling for tokens, session, format, and credits.
- Exports completed in 30–90 seconds using cloud GPUs.
Metadata
Frequently Asked Questions
What is Video Editing With Gpu?
Get GPU-rendered MP4 ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, MKV, up to 500MB), say something like "cu... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Video Editing With Gpu?
Run "/install video-editing-with-gpu" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Editing With Gpu free?
Yes, Video Editing With Gpu is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Editing With Gpu support?
Video Editing With Gpu is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Editing With Gpu?
It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.
More Skills