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Video Trimmer Flutter
by
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
97
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0
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0
Active Installs
1
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Install in OpenClaw
/install video-trimmer-flutter
Description
Get trimmed video clips ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "trim...
Usage Guidance
This skill mostly behaves like a normal cloud video-trimming client, but review these points before installing:
- Privacy: the skill uploads your video/audio files to https://mega-api-prod.nemovideo.ai for processing. Don’t upload sensitive content unless you trust the provider and its policies.
- Token scope: NEMO_TOKEN (or the anonymous token returned) is a bearer token — treat it like a secret. Confirm where the agent will store the token and prefer ephemeral/anonymous tokens if possible. Revoke tokens after use if the service supports it.
- Unknown origin: there is no homepage/source listed. Verify the service/domain (nemovideo) independently (company, privacy policy, terms) before sending private data.
- Metadata mismatch: SKILL.md mentions a config path (~/.config/nemovideo/) while the registry shows none — ask the publisher which is correct and whether the skill will read or write that path.
- Test first with non-sensitive/sample media and monitor network activity to confirm requests go only to the stated API domain.
If you’re uncomfortable, decline installation until the vendor/source is verified and you’ve confirmed token handling and storage behavior.
Capability Analysis
Type: OpenClaw Skill
Name: video-trimmer-flutter
Version: 1.0.0
The video-trimmer-flutter skill is designed to facilitate remote video editing and rendering via the nemovideo.ai API. The SKILL.md file provides clear instructions for the agent to manage authentication tokens, session states, and file uploads to the specified backend (mega-api-prod.nemovideo.ai). The behavior described is consistent with the stated purpose of a cloud-based video processing tool, and there are no indicators of malicious intent, such as unauthorized data exfiltration, hidden command execution, or harmful prompt injection.
Capability Assessment
Purpose & Capability
The skill name and description align with the runtime instructions (upload videos, create a session, request remote renders). Requesting a service token (NEMO_TOKEN) is appropriate for that purpose. Minor inconsistency: the registry metadata lists no required config paths but the SKILL.md frontmatter claims a config path (~/.config/nemovideo/).
Instruction Scope
SKILL.md instructions stay within the trimming/export domain: generate an anonymous token if none exists, create sessions, upload files, poll render status, handle SSE. The instructions require uploading user media to a remote API (expected for a cloud render service). They also require adding attribution headers and auto-detecting platform/install path — which implies the agent may inspect its install path. No instructions ask the agent to read unrelated files or harvest unrelated environment variables.
Install Mechanism
Instruction-only skill with no install spec or downloaded code, so nothing is written to disk by the skill itself. This is the lowest-risk install model.
Credentials
The only declared credential is NEMO_TOKEN (primaryEnv), which matches the service usage. However: (1) the skill instructs obtaining and saving an anonymous token (data.token) — agents must be careful where that token is stored; (2) the skill metadata also references a config path even though the registry said none; and (3) the upstream domain is unknown (mega-api-prod.nemovideo.ai). Users should ensure NEMO_TOKEN is not a reusable/high-privilege secret and understand that providing it grants the service access to uploaded files and account actions.
Persistence & Privilege
always is false and the skill does not request system-wide modifications or permanent agent privileges. It instructs saving session_id and using tokens for session lifetime, which is normal for a remote API client.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install video-trimmer-flutter - After installation, invoke the skill by name or use
/video-trimmer-flutter - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of video-trimmer-flutter, providing easy video trimming and export features for Flutter developers.
- Trim and export video clips using natural language instructions—no sliders or manual editing required.
- Supports MP4, MOV, AVI, WebM uploads up to 500MB and exports 1080p MP4 files.
- Built-in workflow for starting sessions, uploading files, editing, checking credits/status, and exporting.
- All video processing and rendering handled on cloud GPU servers; nothing to install locally.
- Automatic handling of authentication, quota checks, error/status messaging, and backend workflow translation for a smooth developer experience.
Metadata
Frequently Asked Questions
What is Video Trimmer Flutter?
Get trimmed video clips ready to post, without touching a single slider. Upload your video clips (MP4, MOV, AVI, WebM, up to 500MB), say something like "trim... It is an AI Agent Skill for Claude Code / OpenClaw, with 97 downloads so far.
How do I install Video Trimmer Flutter?
Run "/install video-trimmer-flutter" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Video Trimmer Flutter free?
Yes, Video Trimmer Flutter is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Video Trimmer Flutter support?
Video Trimmer Flutter is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Video Trimmer Flutter?
It is built and maintained by dsewell-583h0 (@dsewell-583h0); the current version is v1.0.0.
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