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vcarolxhberger

Video Editing With Linux

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
104
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当前安装
1
版本数
在 OpenClaw 中安装
/install video-editing-with-linux
功能描述
edit raw video clips into edited MP4 clips with this skill. Works with MP4, MKV, AVI, WebM files up to 500MB. Linux users and open-source enthusiasts use it...
安全使用建议
Before installing or invoking this skill: (1) Confirm the publisher and investigate the endpoint domain (mega-api-prod.nemovideo.ai) — only proceed if you trust that service. (2) Decide whether you want the skill to auto-create anonymous tokens (SKILL.md flow) or to require you to provide a NEMO_TOKEN; the registry and SKILL.md disagree. If you prefer explicit consent, do not put a long-lived token in your environment; use a disposable token. (3) Understand that the agent will upload your video files to a third-party service — do not send sensitive or private videos unless you accept that remote processing and storage. (4) Ask the publisher to clarify where session_id and any obtained tokens are stored and whether they persist beyond the browser session. (5) The skill attempts to detect install paths for attribution headers (reading ~/.clawhub, ~/.cursor/skills); if you are uncomfortable with filesystem probing, request that header be omitted or changed to a static value. (6) Because this is instruction-only with no source code provided, request source or further documentation if you need stronger assurance. If anything above is unclear or you cannot verify the backend/operator, treat this skill with caution.
功能分析
Type: OpenClaw Skill Name: video-editing-with-linux Version: 1.0.0 The skill facilitates cloud-based video editing by connecting to a third-party API (nemovideo.ai). It includes instructions for automated session management, anonymous token generation, and file uploads/exports. While it directs the agent to perform minor environment fingerprinting (checking install paths like ~/.cursor/skills/ for attribution headers), the behavior is transparently documented and strictly aligned with the stated purpose of the video processing service without evidence of malicious exfiltration or unauthorized execution.
能力评估
Purpose & Capability
The skill's stated purpose (cloud video editing) aligns with the API endpoints and workflows described in SKILL.md. However, the registry metadata lists NEMO_TOKEN as a required environment variable and 'Required config paths: none', while the SKILL.md frontmatter and runtime instructions both reference configPaths (~/.config/nemovideo/) and also include logic to auto-generate a token if NEMO_TOKEN is not present. That mismatch (required env var vs. ability to obtain an anonymous token) is inconsistent and unexplained.
Instruction Scope
Instructions are largely limited to calls against the stated backend (mega-api-prod.nemovideo.ai) and describe expected APIs for session creation, SSE, upload, export, and polling. Concerns: (1) the skill instructs the agent to detect install path (e.g. ~/.clawhub, ~/.cursor/skills) to set X-Skill-Platform — this requires reading filesystem paths and is unrelated to core editing capability; (2) upload instructions include sending local file paths (multipart -F "files=@/path"), which is reasonable for uploads but implies the agent will access local files; (3) SKILL.md tells the agent to 'store the returned session_id for all subsequent requests' but doesn't specify where/how (ephemeral vs persistent). These behaviors expand the agent's access surface and should be clarified.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. That minimizes installer risk (nothing is downloaded or written by an installer).
Credentials
Only one credential is declared (NEMO_TOKEN) and the APIs described legitimately require a bearer token. However, two issues: the registry declares NEMO_TOKEN required while the SKILL.md provides a flow to obtain an anonymous token automatically (making an env var optional in practice), and the SKILL.md frontmatter references a config path (~/.config/nemovideo/) not declared in the registry. Both are inconsistencies that affect how credential handling actually works. Confirm whether you must provide your own token or if the skill will auto-create/use anonymous tokens.
Persistence & Privilege
The skill does not request 'always: true' and has no install-time hooks. It does instruct the agent to keep session_id and tokens for the session; that is normal for an online editing workflow. There is no explicit instruction to modify other skills or system-wide config.
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-editing-with-linux
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-editing-with-linux 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
Video Editing with Linux — initial release: - Skill enables online editing and exporting of raw video clips (MP4, MKV, AVI, WebM up to 500MB) using a Linux-friendly cloud backend. - No local software installation required; processes edits and exports using GPU-accelerated cloud rendering (1080p MP4 output). - Simple authentication flow: anonymous tokens with 100 free credits, 7-day validity; automatic backend connection on first use. - Users interact via chat and file uploads; common actions include trimming, adding transitions, and exporting video. - Includes robust API integration, session management, and clear handling of errors, credits, and export workflows. - Supports multiple formats and iterative editing; tips and typical workflows provided for efficient editing.
元数据
Slug video-editing-with-linux
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 Editing With Linux 是什么?

edit raw video clips into edited MP4 clips with this skill. Works with MP4, MKV, AVI, WebM files up to 500MB. Linux users and open-source enthusiasts use it... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 104 次。

如何安装 Video Editing With Linux?

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

Video Editing With Linux 是免费的吗?

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

Video Editing With Linux 支持哪些平台?

Video Editing With Linux 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 Editing With Linux?

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

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