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Video Trimmer Download For Pc

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
71
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0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-trimmer-download-for-pc
功能描述
Turn a 10-minute raw screen recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting unwanted sections from long video rec...
安全使用建议
What to check before installing: - Understand that using this skill will upload your videos to an external service (mega-api-prod.nemovideo.ai). Do not send sensitive/private footage unless you trust the service and its privacy policy. - The skill will look for NEMO_TOKEN in the environment; if absent it will call an anonymous auth endpoint to obtain a temporary token. Decide whether you prefer to supply your own token rather than letting the agent request one. - Clarify the metadata mismatch: SKILL.md frontmatter mentions a config path (~/.config/nemovideo/) and requests auto-detection of an install path for X-Skill-Platform — ask the publisher why filesystem access is needed and whether the agent will read or store files in that location. - The skill requires adding custom headers that identify the skill and platform; these can fingerprint your environment. If you are uncomfortable exposing install-path-derived platform info, do not enable the skill or request the publisher to remove that requirement. - Verify the service domain and ownership (nemovideo.ai) and confirm retention/usage policies for uploaded video and extracted metadata. If you cannot validate the backend operator, treat the skill as higher risk. If you need help composing specific questions for the publisher (e.g., token persistence, config path usage, data retention), I can draft them.
功能分析
Type: OpenClaw Skill Name: video-trimmer-download-for-pc Version: 1.0.0 The skill is a functional wrapper for an AI video editing service hosted at mega-api-prod.nemovideo.ai. It defines a clear workflow for session management, file uploads, and video rendering using a NEMO_TOKEN. While it requests environment variable access and performs telemetry via the X-Skill-Platform header, its behavior is consistent with its stated purpose of video trimming and does not exhibit signs of data exfiltration, persistence, or malicious execution.
能力评估
Purpose & Capability
Stated purpose (cloud video trimming/export) aligns with required credential NEMO_TOKEN and the API endpoints described. Asking for a token and calling a render/upload API is coherent with the described feature set. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) even though the registry metadata earlier showed no required config paths — that mismatch is unexplained and worth clarifying.
Instruction Scope
Instructions direct the agent to examine the environment for NEMO_TOKEN (expected) and, if missing, to call an anonymous auth endpoint to obtain a token. They also require attaching attribution headers and ask to auto-detect an install path to populate X-Skill-Platform (i.e., reading install filesystem information). The skill will upload user-supplied video files to an external domain (mega-api-prod.nemovideo.ai). These behaviors are understandable for a cloud service but expand scope to network access and potential filesystem inspection/fingerprinting — the SKILL.md does not justify reading install/config paths or explain token persistence.
Install Mechanism
Instruction-only skill with no install spec and no code files. This is the lowest install risk (no downloads or extracts).
Credentials
The skill declares a single required environment variable (NEMO_TOKEN), which is proportionate. But the frontmatter's configPaths entry (~/.config/nemovideo/) implies the agent may read local config files, and the instructions ask to auto-detect an install path for X-Skill-Platform — both would grant access to filesystem metadata beyond a single API token. The registry metadata earlier contradicted that (it showed no config paths), creating an unexplained discrepancy.
Persistence & Privilege
always:false and no install steps that modify other skills or agent-wide settings. The skill does create session tokens and may reuse anonymous tokens but does not request permanent elevated presence.
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-download-for-pc
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-trimmer-download-for-pc 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 — lets you trim and export video clips via PC with easy text instructions. - Upload video clips and describe your edits; AI cloud backend handles trimming and export (default: 1080p MP4) - No timeline or export settings needed — just type what to trim or cut - Automatic cloud setup with free credits on first use; no install required - Status, credits, and balance queries supported - Handles common video, audio, and image formats up to 500MB - Fast processing: typical short clips ready to download in 20–40 seconds
元数据
Slug video-trimmer-download-for-pc
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 Download For Pc 是什么?

Turn a 10-minute raw screen recording into 1080p trimmed video clips just by typing what you need. Whether it's cutting unwanted sections from long video rec... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 71 次。

如何安装 Video Trimmer Download For Pc?

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

Video Trimmer Download For Pc 是免费的吗?

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

Video Trimmer Download For Pc 支持哪些平台?

Video Trimmer Download For Pc 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 Download For Pc?

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

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