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Youtube Video Trimmer Online
作者
whitejohnk-26
· GitHub ↗
· v1.0.0
· MIT-0
50
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install youtube-video-trimmer-online
功能描述
Turn a 10-minute YouTube video with unwanted intro and filler sections into 1080p trimmed video clips just by typing what you need. Whether it's cutting and...
安全使用建议
This skill behaves like a cloud video-trimming frontend that uploads your videos to a nemovideo.ai backend and requires a NEMO_TOKEN (or will create a temporary anonymous token). Before using it: (1) consider privacy — you will be uploading video/audio to an external service with no homepage or published privacy policy in the metadata; avoid uploading sensitive content; (2) prefer short‑lived or anonymous tokens rather than long-lived credentials if you must provide NEMO_TOKEN; (3) ask the publisher for a privacy/retention policy and for clarification about why the skill might read ~/.config/nemovideo/ or probe install paths; (4) if you need stronger assurance, request a verifiable homepage or published code to audit. These inconsistencies (unknown vendor, missing homepage, and the config-path mismatch) are why I rate it suspicious rather than benign.
功能分析
Type: OpenClaw Skill
Name: youtube-video-trimmer-online
Version: 1.0.0
The skill provides a functional interface for a cloud-based video editing service hosted at nemovideo.ai. It includes logic for session management, anonymous token acquisition, and a standard video processing pipeline (upload, edit via SSE, and export). While it performs basic environment checks to determine the host platform (e.g., checking for ~/.cursor/ or ~/.clawhub/ paths) for API attribution headers, its behavior is transparent and strictly aligned with the stated purpose of trimming YouTube clips.
能力评估
Purpose & Capability
The name/description match the runtime instructions: the skill routes uploads and edit commands to a cloud render API (nemovideo). Requiring a NEMO_TOKEN to call that API is proportionate. However the package metadata has no homepage or verified source and the registry-level metadata (required config paths: none) conflicts with the SKILL.md frontmatter which lists ~/.config/nemovideo/ as a config path. The unknown owner and absent homepage reduce trust even though capability alignment is reasonable.
Instruction Scope
SKILL.md instructs the agent to create sessions, upload arbitrary user video files, call multiple API endpoints, and include attribution headers. All of that is expected for a cloud trimming service. Concerns: (1) the skill instructs generating an anonymous token (fine functionally) but will cause the agent to POST to a third-party endpoint and receive/use tokens without further user consent prompts; (2) it instructs detecting an 'install path' to set X-Skill-Platform (this implies reading environment/paths to decide headers) which is not necessary for trimming functionality and could cause the agent to probe filesystem locations; and (3) user media and edit data are uploaded to a backend with no homepage or privacy policy in the metadata — the instructions give no privacy constraints or retention guidance.
Install Mechanism
There is no install spec and no code files — the skill is instruction-only, so nothing is written to disk by an installer. This minimizes supply-chain installation risk but also means there is no code for you to audit; the runtime behavior is entirely in the prose of SKILL.md and relies on network calls to a third-party API.
Credentials
Only a single credential (NEMO_TOKEN) is declared as required, which is proportionate for an API-backed service. The SKILL.md also describes generating an anonymous token when NEMO_TOKEN is absent (acceptable for usability). Inconsistency: SKILL.md frontmatter lists a config path (~/.config/nemovideo/) that the registry metadata did not list — this suggests the skill might read or expect files under that path. The skill asks to include Authorization: Bearer <NEMO_TOKEN> on every request (expected), but there is no justification for reading other system secrets or unrelated environment variables.
Persistence & Privilege
The skill does not request always:true and uses default autonomous invocation settings. It does not declare modifying other skills or system-wide config. The only persistence implied is session tokens/credits on the remote service; the SKILL.md warns that tokens expire and suggests re-auth—no evidence it attempts to change local agent config.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install youtube-video-trimmer-online - 安装完成后，直接呼叫该 Skill 的名称或使用
/youtube-video-trimmer-online触发 - 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 — quickly trim and export YouTube video clips online with cloud AI rendering.
- Upload YouTube video clips and describe desired edits (e.g., trim intros, cut segments).
- Processes videos in 20–40 seconds for typical use; export supports 1080p MP4 and more.
- No timeline dragging; edits are made using natural language instructions.
- Automatic backend connection using free or existing API token.
- Supports export, credits checking, state querying, and upload actions via quick commands.
- Handles common errors (token issues, file size, unsupported formats) with clear guidance.
元数据
常见问题
Youtube Video Trimmer Online 是什么？
Turn a 10-minute YouTube video with unwanted intro and filler sections into 1080p trimmed video clips just by typing what you need. Whether it's cutting and... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 50 次。
如何安装 Youtube Video Trimmer Online？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install youtube-video-trimmer-online」即可一键安装，无需额外配置。
Youtube Video Trimmer Online 是免费的吗？
是的，Youtube Video Trimmer Online 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Youtube Video Trimmer Online 支持哪些平台？
Youtube Video Trimmer Online 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 Youtube Video Trimmer Online？
由 whitejohnk-26（@whitejohnk-26）开发并维护，当前版本 v1.0.0。
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