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peand-rover

Ugc Editor

by peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
71
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1
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Install in OpenClaw
/install ugc-editor
Description
Turn a 60-second smartphone clip of a product unboxing into 1080p polished UGC clips just by typing what you need. Whether it's editing raw creator footage i...
Usage Guidance
This skill appears to be a front-end for a cloud video-rendering service and will upload whatever video you give it to mega-api-prod.nemovideo.ai and may automatically create and store an anonymous NEMO_TOKEN if you don't supply one. Before installing or using it: (1) confirm the skill author/source and the domain (nemovideo.ai) are trustworthy; (2) do not upload sensitive or private videos unless you accept they will be processed on that external server; (3) prefer to supply your own NEMO_TOKEN rather than allowing the skill to auto-generate and store tokens if you want control; (4) ask the author to explain the discrepancy between registry metadata (no config paths) and the SKILL.md frontmatter (requires ~/.config/nemovideo/) — ensure the skill will not read arbitrary local config files; (5) request a privacy/retention policy for uploaded media and tokens. If you cannot verify these points, treat the skill with caution or avoid installing it.
Capability Analysis
Type: OpenClaw Skill Name: ugc-editor Version: 1.0.0 The skill is a functional interface for a cloud-based video editing service (nemovideo.ai). It manages authentication via the NEMO_TOKEN environment variable or an anonymous token generation process, and it interacts with a specific set of API endpoints for video processing and rendering. The instructions in SKILL.md include security-conscious directives to avoid displaying raw tokens or API responses to the user, and no indicators of data exfiltration, malicious execution, or unauthorized access were found.
Capability Assessment
Purpose & Capability
The name/description (UGC video editing) lines up with the runtime instructions: upload video files, open a session, use SSE for edits, and call a render/export endpoint. Requested primary credential NEMO_TOKEN is appropriate for an external rendering API. However the SKILL.md frontmatter declares a required config path (~/.config/nemovideo/) while the registry metadata reported no config paths — this mismatch should be resolved (why would the skill need a local config dir?).
Instruction Scope
Instructions stay within the stated purpose: they describe how to authenticate (including auto-creating an anonymous token), create sessions, upload media, stream edits, poll exports, and return download URLs. Important runtime behaviors to be aware of: the skill will (a) auto-contact an external domain (mega-api-prod.nemovideo.ai), (b) potentially auto-generate and store an anonymous token if NEMO_TOKEN is not present, and (c) upload user media to remote GPU nodes. Those actions are consistent with the described cloud-rendering service, but they have privacy implications for user content.
Install Mechanism
No install spec and no code files — instruction-only skill. This is low-risk from an install/execution perspective because nothing is downloaded or written by an installer step. All runtime behavior is network calls described in SKILL.md.
Credentials
The only declared required env var is NEMO_TOKEN (primaryEnv), which is appropriate. But the SKILL.md frontmatter includes a configPaths requirement (~/.config/nemovideo/) that is not reflected in the registry metadata provided earlier. If the skill will read that path it could access additional tokens/configs; the registry and SKILL.md disagree. Also note that the skill instructs generating and storing anonymous tokens — the storage location and lifetime are unspecified.
Persistence & Privilege
always:false and no installer means the skill does not force permanent presence. The skill does instruct storing a session_id and possibly an anonymous token for later calls, which is normal for a remote service integration. There's no instruction to modify other skills or global agent settings.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install ugc-editor
  3. After installation, invoke the skill by name or use /ugc-editor
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Initial release of UGC Editor skill. - Instantly edit raw 60-second smartphone clips into polished UGC content via simple text prompts. - Automatic backend connection and authentication, with guided token setup and session creation. - Supports video upload, edit instructions, captions, audio overlays, and quick download in 1080p MP4. - Provides workflow for exports, credits, session management, error handling, and API integration. - Designed for TikTok, Reels, and other social platforms, with cloud GPU rendering and fast turnaround.
Metadata
Slug ugc-editor
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Ugc Editor?

Turn a 60-second smartphone clip of a product unboxing into 1080p polished UGC clips just by typing what you need. Whether it's editing raw creator footage i... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.

How do I install Ugc Editor?

Run "/install ugc-editor" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Ugc Editor free?

Yes, Ugc Editor is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Ugc Editor support?

Ugc Editor is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Ugc Editor?

It is built and maintained by peandrover adam (@peand-rover); the current version is v1.0.0.

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