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susan4731-wilfordf

Video Editing Ai Jobs

by susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install video-editing-ai-jobs
Description
Get edited video files ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like...
Usage Guidance
This skill appears to implement a legitimate remote video-editing integration, but exercise caution before installing: (1) The source/homepage is unknown — verify you trust the nemovideo.ai service. (2) SKILL.md indicates it will obtain and store short-lived anonymous tokens and session IDs (and references ~/.config/nemovideo/) — ask where on disk these tokens are stored and whether they persist beyond your session. (3) There's a metadata mismatch (registry says no config paths, but the SKILL.md declares one) — ask the publisher to clarify. If you proceed, avoid supplying a long-lived or high-privilege NEMO_TOKEN until you confirm token handling and storage behavior; prefer letting the skill obtain a short anonymous token if you don't trust the service. If you need higher assurance, request code or a provenance link (homepage/repo) and inspect where session data is stored and what permissions it receives.
Capability Analysis
Type: OpenClaw Skill Name: video-editing-ai-jobs Version: 1.0.0 The skill facilitates AI-driven video editing by integrating with the `nemovideo.ai` cloud rendering API. It includes well-defined instructions for the agent to handle authentication (via anonymous tokens), session management, and file uploads/exports. While it performs minor environment fingerprinting to set attribution headers (identifying the host platform like Cursor or Clawhub), its behavior is entirely consistent with its stated purpose and lacks any indicators of data exfiltration, malicious execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
Name/description align with the actions described (upload video, remote render, export). Requested credential (NEMO_TOKEN) and API endpoints under nemovideo.ai match the stated purpose. However, registry metadata reported no required config paths while the SKILL.md frontmatter declares a configPaths entry (~/.config/nemovideo/), an inconsistency worth noting.
Instruction Scope
SKILL.md stays within video-editing behavior: it uploads files, starts render jobs, polls status, and streams SSE responses. It does instruct the agent to read its own YAML frontmatter and to detect an install path on disk (to set X-Skill-Platform), and to persist a session_id for subsequent requests — these filesystem reads and local persistence are not strictly necessary for core editing but are justified by attribution/session needs. No instructions direct data to endpoints outside mega-api-prod.nemovideo.ai.
Install Mechanism
Instruction-only skill with no install spec or downloaded code — lowest-risk install model. Nothing is written to disk by an installer step in the package metadata.
Credentials
Only one credential (NEMO_TOKEN) is declared as required/primary, which fits a remote API integration. The SKILL.md also instructs creating an anonymous token by POSTing to the service if NEMO_TOKEN is absent (so the env var is not strictly required). The frontmatter's configPaths entry implies writing/reading ~/.config/nemovideo/ for session storage — reasonable but a persistence detail you should confirm. No unrelated credentials are requested.
Persistence & Privilege
always: false and normal model invocation. The skill asks to store session_id and may use a config directory for local session data, but it does not request system-wide privileges or modify other skills. Autonomous invocation is allowed (platform default) but not by itself a problem here.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install video-editing-ai-jobs
  3. After installation, invoke the skill by name or use /video-editing-ai-jobs
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Video Editing AI Jobs — automate video edits and exports with cloud GPU rendering. - Upload raw footage (MP4, MOV, AVI, WebM, up to 500MB) and describe editing tasks to receive processed 1080p MP4 videos. - Supports automated silence cutting, transitions, text overlays, and more via natural language instructions. - Handles credits, session management, job status tracking, and exports transparently for fast freelance workflows. - API-based, no local installation required. User authentication with temporary free credits on first use. - Timeline editing, batch processing, and iterative refinements supported within each session.
Metadata
Slug video-editing-ai-jobs
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Video Editing Ai Jobs?

Get edited video files ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like... It is an AI Agent Skill for Claude Code / OpenClaw, with 57 downloads so far.

How do I install Video Editing Ai Jobs?

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

Is Video Editing Ai Jobs free?

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

Which platforms does Video Editing Ai Jobs support?

Video Editing Ai Jobs is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Video Editing Ai Jobs?

It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.

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