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Video Editing Jobs
by
peandrover adam
· GitHub ↗
· v1.0.0
· MIT-0
88
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0
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1
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Install in OpenClaw
/install video-editing-jobs
Description
Turn a 3-minute unedited screen recording into 1080p polished edited clips just by typing what you need. Whether it's editing raw footage into finished video...
Usage Guidance
This skill appears to implement a legitimate cloud video-editing flow, but check the following before enabling it: (1) The skill will upload your raw video to mega-api-prod.nemovideo.ai and may create an anonymous token if you do not supply a NEMO_TOKEN — expect your footage to leave your device. (2) The SKILL.md asks the agent to inspect local install paths and references a config directory in its frontmatter; confirm whether you are comfortable with those filesystem reads or ask the author why they are needed. (3) Prefer giving no permanent NEMO_TOKEN (or give a limited/ephemeral API key) unless you trust the provider and have verified their privacy/retention policy. (4) If you need stronger assurance, request a published homepage, official vendor identity, or documentation about data retention and who has access to stored media before installing. If you want, I can draft questions to ask the skill author or help you redact/limit tokens before testing.
Capability Analysis
Type: OpenClaw Skill
Name: video-editing-jobs
Version: 1.0.0
The skill provides automated video editing by interfacing with the Nemo Video cloud API (mega-api-prod.nemovideo.ai). It handles authentication via environment variables or anonymous token generation, manages file uploads, and monitors render jobs as described in its documentation. The behavior, including platform attribution via installation path checks and session management, is consistent with its stated purpose of providing cloud-based video processing.
Capability Assessment
Purpose & Capability
The name/description (cloud video editing) aligns with the API endpoints and operations in SKILL.md (session creation, upload, render/export). However the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) and runtime instructions say to detect installation paths (~/.clawhub/, ~/.cursor/skills/) to set an attribution header — these filesystem checks are not strictly necessary to provide core editing functionality and are inconsistent with the registry metadata that reported no required config paths.
Instruction Scope
Runtime instructions are concrete and scoped to the service: check NEMO_TOKEN, optionally obtain an anonymous token via the anonymouse auth endpoint, create a session, upload files, send SSE, poll for render results. Reasonable for a cloud editor. Concerning bits: instructions explicitly direct the agent to inspect local install paths and this file's YAML frontmatter to populate X-Skill-Platform and X-Skill-Version headers — those actions read local state outside the minimal need to upload a provided video and may be unnecessary. The SKILL.md also instructs use of local file paths for multipart uploads (expected) and to avoid exposing tokens (good).
Install Mechanism
No install spec and no code files — this is an instruction-only skill. That reduces risk because nothing is downloaded or written by an installer.
Credentials
The only required environment variable is NEMO_TOKEN, which is appropriate for a cloud API. The skill will also attempt to obtain an anonymous token if none is found. The frontmatter's mention of a config path (~/.config/nemovideo/) conflicts with the registry metadata (which showed none); requiring access to that config path would be broader than needed and should be justified.
Persistence & Privilege
always is false and there is no install that requests persistent system-level presence. The skill does ask to keep session_id for the duration of a session (normal) and can be invoked autonomously (platform default) — not a standalone concern here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-editing-jobs - After installation, invoke the skill by name or use
/video-editing-jobs - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of "Video Editing Jobs" skill.
- Instantly edit and export finished 1080p videos from raw footage by describing your desired result—no timeline work needed.
- Automatic setup connects to a cloud video editing backend; handles authentication and session for you.
- Supports uploading, status checking, export, and credit balance via chat commands.
- Fast cloud GPU processing (30–90s typical for 3-minute clips), with support for popular video/audio formats.
- User-friendly error handling and concise progress/status updates.
Metadata
Frequently Asked Questions
What is Video Editing Jobs?
Turn a 3-minute unedited screen recording into 1080p polished edited clips just by typing what you need. Whether it's editing raw footage into finished video... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Video Editing Jobs?
Run "/install video-editing-jobs" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Editing Jobs free?
Yes, Video Editing Jobs is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Editing Jobs support?
Video Editing Jobs is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Editing Jobs?
It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.
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