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mory128

Video Auto Editing

作者 mory128 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
39
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-auto-editing
功能描述
Get edited video clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like...
安全使用建议
This skill will upload your raw video files to a third‑party cloud service (mega-api-prod.nemovideo.ai) and requires a NEMO_TOKEN (or will request an anonymous token from that service). Before installing: 1) confirm you trust the nemo service and its privacy/retention policy for video content; 2) prefer using a short‑lived or anonymous token instead of pasting a long-lived credential you reuse elsewhere; 3) be aware the skill's runtime may check your home folders (it detects install paths like ~/.clawhub/ and ~/.cursor/skills/) to populate attribution headers — that is a small privacy surface you may want to avoid; 4) note the SKILL.md metadata lists a config path (~/.config/nemovideo/) although the registry did not — ask the publisher which files (if any) will be read. If any of these points worry you, don't install or provide credentials until the publisher clarifies.
功能分析
Type: OpenClaw Skill Name: video-auto-editing Version: 1.0.0 The video-auto-editing skill is a functional integration for the NemoVideo AI service, enabling an agent to automate video editing tasks via the mega-api-prod.nemovideo.ai backend. The SKILL.md file provides detailed instructions for authentication (including anonymous token generation), session management, file uploads, and polling for render completion. While the skill performs network requests and handles user files, these actions are transparently documented and strictly aligned with the stated purpose of AI-driven video editing without evidence of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
Name/description (auto video editing) matches the actions described (upload, SSE editing, export). Requesting a single service credential (NEMO_TOKEN) is appropriate. However the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) and runtime logic to detect install paths (~/.clawhub/, ~/.cursor/skills/) while the registry metadata lists no required config paths — this mismatch is an incoherence to be aware of.
Instruction Scope
The SKILL.md instructs the agent to (a) contact an external API (mega-api-prod.nemovideo.ai) for session creation, SSE streaming, uploads, and rendering; (b) upload user video files (multipart or URL); and (c) detect the skill install path to populate X-Skill-Platform header. Detecting install path requires reading the user's home filesystem. All of these are consistent with a cloud editing service, but the filesystem check is privacy-sensitive and broader than purely editing functionality.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled code — lowest install risk. Nothing will be written to disk by an installer step in the skill package itself.
Credentials
The skill declares a single primary env var (NEMO_TOKEN), which fits a cloud API integration. The agent will also obtain an anonymous token from the service if NEMO_TOKEN is absent. That behavior is reasonable but means network calls will be able to obtain transient credentials; users should not supply a long-lived or highly-privileged token unless they trust the service. The SKILL.md references configPaths in metadata that the registry did not list — unclear if the skill will try to read those paths.
Persistence & Privilege
always:false and normal model invocation settings. The skill does not request permanent inclusion or to modify other skills. No elevated persistence or privileges declared.
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-auto-editing
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-auto-editing 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: video-auto-editing 1.0.0 brings fast AI-powered video editing for content creators and marketers. - Upload raw footage (up to 500MB); describe edits in natural language; receive a ready-to-post 1080p MP4. - Automatic session and token management with support for anonymous/free usage and credit system. - Handles edits like trimming silences, adding transitions, syncing to music, and more via natural prompts. - Supports common video/audio/image formats and provides clear guidance for all workflows and errors. - Cloud render pipeline returns results in about 1–2 minutes for short clips; easy export and download.
元数据
Slug video-auto-editing
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 Auto Editing 是什么?

Get edited video clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 39 次。

如何安装 Video Auto Editing?

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

Video Auto Editing 是免费的吗?

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

Video Auto Editing 支持哪些平台?

Video Auto Editing 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 Auto Editing?

由 mory128(@mory128)开发并维护,当前版本 v1.0.0。

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