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Trimmer Linux
by
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
45
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0
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0
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1
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Install in OpenClaw
/install trimmer-linux
Description
Turn a 10-minute screen recording from a Linux session into 1080p trimmed video clips just by typing what you need. Whether it's trimming and cutting video f...
Usage Guidance
This skill generally behaves like a normal cloud-based video editor: it uploads files to mega-api-prod.nemovideo.ai and uses a NEMO_TOKEN (or an anonymous token it can generate) to authenticate. Before installing: (1) Confirm you trust the nemovideo.ai domain and review its privacy/retention policy for uploaded videos; (2) avoid supplying a privileged/production token — use an anonymous or limited token for testing; (3) be aware the skill's instructions ask the agent to detect install paths on your system (e.g., ~/.clawhub/, ~/.cursor/skills/) and to read the SKILL.md frontmatter — this filesystem probing is unnecessary for trimming and may leak information about your environment; (4) the SKILL.md lists a config path (~/.config/nemovideo/) even though registry metadata did not — ask the publisher why and whether the skill will access that directory; (5) test first with non-sensitive, short sample videos to confirm exactly what is uploaded and returned. If you are uncomfortable with filesystem probing or uploading sensitive recordings, do not enable the skill until the developer clarifies these points.
Capability Analysis
Type: OpenClaw Skill
Name: trimmer-linux
Version: 1.0.0
The skill bundle provides instructions for an AI agent to interface with a cloud-based video editing service (nemovideo.ai). It outlines standard procedures for authentication, session management, file uploads, and polling for render status. The network activity and data handling are consistent with the stated purpose of trimming videos on remote GPUs, and no indicators of malicious intent or unauthorized data access were found.
Capability Assessment
Purpose & Capability
The skill claims to perform cloud-based video trimming and its network endpoints, auth flow, and file upload instructions align with that purpose. Requesting a NEMO_TOKEN (or creating an anonymous token) is proportionate for a cloud service. However, the frontmatter embedded in SKILL.md also lists configPaths ("~/.config/nemovideo/") even though the registry metadata earlier reported no required config paths — this mismatch suggests sloppy packaging or undocumented filesystem access.
Instruction Scope
The runtime instructions explicitly tell the agent to: generate tokens, POST uploads and SSE messages to an external API (expected), and also to read this file's YAML frontmatter and detect install path strings (e.g., checking ~/.clawhub/ or ~/.cursor/skills/) to set an X-Skill-Platform header. Detecting install path implies probing user filesystem locations, which is not necessary to trim videos and expands the skill's scope into user-host environment inspection. The instructions also require storing session_id and using attribution headers on every API call; both are operationally plausible but the install-path detection is unnecessary and privacy-sensitive.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only. That minimizes supply-chain risk because nothing is downloaded or written by an installer. Network calls to the service are the main runtime surface.
Credentials
The only declared required env var is NEMO_TOKEN (primary credential), which is appropriate for a cloud video service. The instructions further provide an anonymous-token fallback (requests a UUID and exchanges it at the service) so a pre-set NEMO_TOKEN is optional. That is sensible, but you should treat any token (anonymous or not) as allowing uploads of your videos to a third-party; confirm the token's scope, retention, and privacy rules before use. Also note the SKILL.md metadata lists a config path that was not declared in the registry metadata — another inconsistency.
Persistence & Privilege
The skill does not request 'always: true' and is user-invocable only. It instructs the agent to create and save a session_id for a short-lived editing session (expected). There is no request to modify other skills or global agent settings. The main privilege is network access to upload potentially sensitive video files to the external API.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trimmer-linux - After installation, invoke the skill by name or use
/trimmer-linux - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release — Trim and export Linux video clips using cloud GPU processing, with natural language commands.
- Upload video/audio/image files, then describe trims/cuts you want; export 1080p MP4s in ~20–40 sec per clip.
- Handles session management and free token setup automatically; supports anonymous usage (100 credits, 7 days).
- Natural-language input mapped to actions like export, check credits, show timeline state, and more.
- Robust cloud render pipeline: jobs run on GPU, with error handling for session, token, credit, and file issues.
- No installation required on Linux systems; works in-browser with a simple, user-guided workflow.
Metadata
Frequently Asked Questions
What is Trimmer Linux?
Turn a 10-minute screen recording from a Linux session into 1080p trimmed video clips just by typing what you need. Whether it's trimming and cutting video f... It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.
How do I install Trimmer Linux?
Run "/install trimmer-linux" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trimmer Linux free?
Yes, Trimmer Linux is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trimmer Linux support?
Trimmer Linux is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trimmer Linux?
It is built and maintained by susan4731-wilfordf (@susan4731-wilfordf); the current version is v1.0.0.
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