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dsewell-583h0

Video Trimmer Flutter

作者 dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
97
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-trimmer-flutter
功能描述
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...
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install video-trimmer-flutter
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-trimmer-flutter 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
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.
元数据
Slug video-trimmer-flutter
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Video Trimmer Flutter 是什么?

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... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 97 次。

如何安装 Video Trimmer Flutter?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-trimmer-flutter」即可一键安装,无需额外配置。

Video Trimmer Flutter 是免费的吗?

是的,Video Trimmer Flutter 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Video Trimmer Flutter 支持哪些平台?

Video Trimmer Flutter 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Video Trimmer Flutter?

由 dsewell-583h0(@dsewell-583h0)开发并维护,当前版本 v1.0.0。

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