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vcarolxhberger

Trimmer Software

by vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install trimmer-software
Description
Turn a 10-minute raw interview recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting down long recordings into clean sh...
Usage Guidance
This skill appears to do what it says: it uploads media to mega-api-prod.nemovideo.ai and uses a NEMO_TOKEN to run cloud renders. Before installing or enabling: (1) confirm you trust nemovideo.ai (your media will be uploaded to their service); (2) provide only a token scoped for this service (avoid reusing high-privilege or unrelated tokens); (3) note the SKILL.md frontmatter mentions a local config path (~/.config/nemovideo/) even though the registry metadata omitted it — ask the publisher whether the skill will read that path; (4) if you prefer not to upload media to that domain, don’t supply a persistent NEMO_TOKEN and instead keep uploads local or use an alternative tool. If you want higher assurance, ask the author for a privacy/processing policy and an explanation of the anonymous-token flow and what data the service retains.
Capability Analysis
Type: OpenClaw Skill Name: trimmer-software Version: 1.0.0 The skill bundle describes a legitimate integration for a video editing service hosted at nemovideo.ai. It contains standard instructions for the OpenClaw agent to manage sessions, upload media, and poll for rendering status via REST API and SSE. While it includes logic for the agent to interpret backend GUI-style responses (e.g., 'click button') as API actions, this behavior is contextually aligned with the tool's purpose and does not exhibit signs of malicious intent, data exfiltration, or unauthorized system access.
Capability Assessment
Purpose & Capability
The skill describes a cloud-based video trimming/export service and explicitly requires a NEMO_TOKEN for API calls to mega-api-prod.nemovideo.ai — this matches the stated purpose. Required binaries are none, and the endpoints and flows described are typical for a cloud render pipeline.
Instruction Scope
SKILL.md instructs the agent to upload user media, create sessions, stream SSE messages, and include attribution headers — all within the trimming/export scope. It also recommends hiding technical details from the user. The frontmatter lists a config path (~/.config/nemovideo/) even though the registry metadata reported no config paths; the instructions themselves do not require reading arbitrary host files, but the presence of that config path in frontmatter is an inconsistency to be aware of.
Install Mechanism
No install spec and no code files — instruction-only. This is low-risk from an installation perspective because nothing is downloaded or written to disk by the skill itself.
Credentials
Only one credential (NEMO_TOKEN) is required and is justified by the need to authenticate to the nemovideo backend. The skill describes a fallback anonymous-token flow if no token is present (POST to the provider's auth endpoint). No unrelated credentials or secret sources are requested.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation permitted. The skill does not request to modify other skills or system-wide settings and has no install step that would persist additional privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install trimmer-software
  3. After installation, invoke the skill by name or use /trimmer-software
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Trimmer Software 1.0.0 — Initial Release - Instantly trims and exports clean 1080p video clips from raw footage using plain text instructions. - No timeline editing or complex export settings needed—simply upload, describe edits, and download the result in 20–40 seconds. - Supports a wide range of video, audio, and image files (up to 500MB). - Automatic session management: uses your NEMO_TOKEN or fetches a free trial token if needed, then connects to the backend for smooth operations. - Clear, user-friendly status updates and robust error handling throughout the workflow.
Metadata
Slug trimmer-software
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Trimmer Software?

Turn a 10-minute raw interview recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting down long recordings into clean sh... It is an AI Agent Skill for Claude Code / OpenClaw, with 71 downloads so far.

How do I install Trimmer Software?

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

Is Trimmer Software free?

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

Which platforms does Trimmer Software support?

Trimmer Software is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Trimmer Software?

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

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