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Trimmer In Between

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
54
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当前安装
1
版本数
在 OpenClaw 中安装
/install trimmer-in-between
功能描述
edit video clips into trimmed joined clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for removing unwanted m...
安全使用建议
This skill appears to be a straightforward cloud-based video trimmer: it will upload your videos and associated metadata to mega-api-prod.nemovideo.ai for processing and will use a NEMO_TOKEN (either one you set or one obtained anonymously). Consider the following before installing/using: (1) Privacy — your videos are sent to a third party; check their retention/terms if the content is sensitive. (2) Credential behavior — if you don't set NEMO_TOKEN yourself, the skill will call an anonymous-token endpoint and use that token (7-day expiry, free credits) — decide whether you prefer to supply your own token. (3) Local reads — the skill will probe a couple of install-path locations and read this SKILL.md frontmatter to build attribution headers; this is low-risk but unnecessary for trimming. (4) Source/maintainer — there is no homepage or source repo listed; if you need higher assurance, ask the publisher for a repo, privacy policy, or official docs before using. If you want the assessment to change: provide the skill's source code or an official homepage/maintainer contact and details about what data the backend retains/how it is protected.
功能分析
Type: OpenClaw Skill Name: trimmer-in-between Version: 1.0.0 The skill provides video editing functionality (trimming and joining) by interfacing with a remote cloud API at mega-api-prod.nemovideo.ai. It includes standard logic for session management, file uploads, and polling for render results. While it requests access to a specific environment variable (NEMO_TOKEN) and a configuration path (~/.config/nemovideo/), these are consistent with its stated purpose of providing a cloud-based video processing service.
能力评估
Purpose & Capability
The skill claims to trim/join videos via a cloud backend and all declared endpoints, headers, and workflows match that purpose. Minor incoherence: requires.env declares NEMO_TOKEN as a required credential yet the runtime instructions include an anonymous-token flow to obtain a NEMO_TOKEN automatically if one is not present.
Instruction Scope
Instructions tell the agent to upload user video files and metadata to https://mega-api-prod.nemovideo.ai and to poll session/render endpoints — this is expected for a cloud render service but is effectively sending user content off-device. The skill also instructs reading local install paths and this file's YAML frontmatter at runtime to populate attribution headers (reads ~/.clawhub/, ~/.cursor/skills/, and the SKILL.md file). Those file reads are not strictly necessary for trimming and leak some environment information; they increase the scope of data the agent accesses.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest install risk profile.
Credentials
Only one credential is declared (NEMO_TOKEN) which is proportional for a remote API. However, the skill's instructions will obtain an anonymous token automatically if none is present, which makes the 'required' designation ambiguous. There are no unrelated credentials requested.
Persistence & Privilege
always is false and the skill is not requesting elevated or persistent platform privileges. It does state that session tokens and job IDs exist server-side (normal for a render service), but it does not request modifying other skills or system-wide settings.
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 trimmer-in-between
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /trimmer-in-between 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 Trimmer In Between — edit and join trimmed video segments in the cloud. - Allows users to remove unwanted middle sections from video clips and seamlessly join the remaining parts. - Supports MP4, MOV, AVI, WebM files up to 500MB; outputs high-quality 1080p MP4 videos in about 20-40 seconds per job. - Runs on cloud GPUs—no installation required, credentials handled automatically with a free 7-day token. - Provides clear workflows for trimming, batch editing, session management, and exporting videos. - Includes robust error handling, format support, and user-friendly instructions for common use cases.
元数据
Slug trimmer-in-between
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

Trimmer In Between 是什么?

edit video clips into trimmed joined clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for removing unwanted m... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 54 次。

如何安装 Trimmer In Between?

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

Trimmer In Between 是免费的吗?

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

Trimmer In Between 支持哪些平台?

Trimmer In Between 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 Trimmer In Between?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

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