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Trimmer By Link
by
whitejohnk-26
· GitHub ↗
· v1.0.0
· MIT-0
68
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0
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0
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1
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Install in OpenClaw
/install trimmer-by-link
Description
trim video URL link into trimmed video clips with this skill. Works with YouTube, Vimeo, MP4, MOV files up to 500MB. content creators, researchers, social me...
Usage Guidance
This skill appears to be a client for a remote video-trimming service (nemovideo.ai) and requires a service token (NEMO_TOKEN) or will obtain a short-lived anonymous token. Before installing: (1) Confirm you trust mega-api-prod.nemovideo.ai (privacy of uploaded URLs/videos, retention, who can access generated clips). (2) Verify the mismatch: SKILL.md frontmatter lists ~/.config/nemovideo/ while registry metadata lists no config paths — ask the author whether the skill will read local config files. (3) Be aware the skill may inspect agent install paths (~/.clawhub, ~/.cursor/skills) for attribution headers; if you prefer not to expose local paths, ask for an option to disable that behavior. (4) Because the skill sends video URLs and possibly uploaded media to a third-party service, avoid sending private or sensitive videos unless you trust the service/legal terms. If the author can provide a homepage, privacy policy, or source repo, review those to raise confidence.
Capability Analysis
Type: OpenClaw Skill
Name: trimmer-by-link
Version: 1.0.0
The skill is a legitimate interface for a cloud-based video editing service (nemovideo.ai). It provides instructions for the agent to manage authentication via environment variables or anonymous token generation and outlines the API workflow for uploading, trimming, and exporting video clips. All identified behaviors, including network requests to mega-api-prod.nemovideo.ai and access to service-specific configuration paths (~/.config/nemovideo/), are strictly aligned with the stated purpose of the tool and do not show evidence of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
Name/description (trim video links) align with the only required credential (NEMO_TOKEN) and the documented API endpoints on mega-api-prod.nemovideo.ai. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this mismatch is unexplained and worth verifying. Requiring a NEMO_TOKEN is proportionate to a remote render service.
Instruction Scope
SKILL.md gives explicit instructions to use NEMO_TOKEN or obtain an anonymous token via network calls to mega-api-prod.nemovideo.ai, create sessions, upload URLs/files, read SSE, and poll status — all expected for a remote trimming service. It also instructs the agent to read the skill's YAML frontmatter for attribution and to detect install path (~/.clawhub/, ~/.cursor/skills/) to set X-Skill-Platform; that requires accessing local paths and is not strictly necessary for trimming functionality (it’s attribution-related). No instructions ask for unrelated system secrets, but the filesystem checks and attribution requirements are scope-expanding and should be validated.
Install Mechanism
Instruction-only skill with no install spec and no code files. This is lower risk because nothing is written or executed locally by an installer. All heavy work is performed on the remote service.
Credentials
Only NEMO_TOKEN is required (declared as primaryEnv) which is consistent with a service API key. The SKILL.md also documents an anonymous-token flow (POST to the API to get a short-lived token) which is reasonable. The frontmatter's mention of a local config path (~/.config/nemovideo/) is not explained by registry metadata and could imply optional local credential/config usage; flag that mismatch and confirm whether any local files will be read.
Persistence & Privilege
always:false and no install hooks — the skill does not request permanent system presence or elevated privileges. Autonomous invocation is allowed by default; that is normal. The skill does instruct the agent to read local install paths/frontmatter for attribution, but it doesn't request modifying other skills or writing system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install trimmer-by-link - After installation, invoke the skill by name or use
/trimmer-by-link - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Trimmer by Link — trim video links into clips.
- Supports trimming YouTube, Vimeo, MP4, and MOV links up to 500MB, with export as 1080p MP4.
- Offers fast, cloud-based video processing — typically delivers results in 20-40 seconds.
- Allows processing of video URLs directly without requiring downloads.
- Features session-based workflow with automatic free trial token generation if needed.
- Built-in handling for authentication, credits, common errors, and backend API endpoints.
- Action routing based on user intent for exporting, checking credits, status, upload, and editing.
Metadata
Frequently Asked Questions
What is Trimmer By Link?
trim video URL link into trimmed video clips with this skill. Works with YouTube, Vimeo, MP4, MOV files up to 500MB. content creators, researchers, social me... It is an AI Agent Skill for Claude Code / OpenClaw, with 68 downloads so far.
How do I install Trimmer By Link?
Run "/install trimmer-by-link" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Trimmer By Link free?
Yes, Trimmer By Link is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Trimmer By Link support?
Trimmer By Link is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Trimmer By Link?
It is built and maintained by whitejohnk-26 (@whitejohnk-26); the current version is v1.0.0.
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