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Video Trimmer Mp3
作者
vcarolxhberger
· GitHub ↗
· v1.0.0
· MIT-0
94
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当前安装
1
版本数
在 OpenClaw 中安装
/install video-trimmer-mp3
功能描述
Turn a 10-minute MP4 video with audio into 1080p trimmed MP3 audio just by typing what you need. Whether it's cutting video down to key moments and extractin...
安全使用建议
This skill appears to do what it says: it uploads video to a remote service and returns trimmed video/MP3 output using a NEMO_TOKEN. Before installing/using it, confirm two things: (1) the skill may read certain local paths to determine an install platform or config (~/.clawhub, ~/.cursor/skills/, and its frontmatter mentions ~/.config/nemovideo/) — ask the publisher why that is needed and refuse/deny filesystem access if you’re uncomfortable; (2) your videos are uploaded to https://mega-api-prod.nemovideo.ai — do not send sensitive content if you don't trust that remote service. If you don't already have a NEMO_TOKEN, the skill will generate an anonymous token by contacting the service; that is normal but still means files go to that provider. If the author cannot justify the config-path checks or the platform-detection headers, treat this as a red flag and avoid use.
功能分析
Type: OpenClaw Skill
Name: video-trimmer-mp3
Version: 1.0.0
The skill facilitates video processing via the nemovideo.ai API but includes several high-risk capabilities. Specifically, SKILL.md instructs the agent to upload local files to a remote server using multipart POST requests and to perform environment fingerprinting by checking for specific installation paths (e.g., ~/.cursor/skills/ or ~/.clawhub/). While these actions are plausibly needed for the stated purpose of cloud-based video trimming, the broad file access and network exfiltration capabilities, combined with the requirement for environment variable access (NEMO_TOKEN), warrant a suspicious classification under the provided criteria. IOC: mega-api-prod.nemovideo.ai.
能力评估
Purpose & Capability
The skill's name/description (trim video and extract MP3) align with the API endpoints and workflows in SKILL.md. Requiring a single service token (NEMO_TOKEN) is reasonable for a cloud processing service. However, the SKILL.md frontmatter also lists a config path (~/.config/nemovideo/) while the registry metadata said no required config paths — this mismatch is unexplained.
Instruction Scope
Most instructions stay within the service (auth, create session, upload, render, poll). But the skill instructs the agent to derive headers from install-path detection (checking ~/.clawhub, ~/.cursor/skills/, etc.) and references a config path in its YAML frontmatter. That implies the agent may inspect local filesystem locations to set headers, which is outside the core trimming/upload task and isn't justified by the description. The upload endpoint uses multipart file upload (files=@/path) which legitimately requires access to user-provided files, but the additional filesystem/config probing is unnecessary and worth questioning.
Install Mechanism
No install spec and no code files — instruction-only skill. This is lower risk because nothing is written to disk by an installer.
Credentials
Only one credential is declared (NEMO_TOKEN), which is appropriate for a cloud API. The SKILL.md supports generating an anonymous token if none is present. The unexplained presence of configPaths in the skill's frontmatter (but not in the registry metadata) raises a proportionality question: why would the skill need access to a local ~/.config/nemovideo/ directory?
Persistence & Privilege
always is false and there is no install step that requests permanent system presence or modifies other skills. The skill asks to 'save session_id' (expected for an active session) but does not ask to store broader system credentials or change global settings.
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 video-trimmer-mp3 - 安装完成后,直接呼叫该 Skill 的名称或使用
/video-trimmer-mp3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
Video Trimmer MP3 1.0.0 — initial release!
- Instantly trim MP4 videos and extract MP3 audio by describing your desired results.
- Automatic cloud setup with free credit token generation for new users.
- Handles video upload, session management, state preview, and export to popular formats including mp3 and mp4.
- Simple chat-based workflow — no manual editing or timeline needed.
- Clear mapping from user prompts to specific actions (upload, export, credits, etc.).
- Robust error handling and status feedback throughout processing.
元数据
常见问题
Video Trimmer Mp3 是什么?
Turn a 10-minute MP4 video with audio into 1080p trimmed MP3 audio just by typing what you need. Whether it's cutting video down to key moments and extractin... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 94 次。
如何安装 Video Trimmer Mp3?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-trimmer-mp3」即可一键安装,无需额外配置。
Video Trimmer Mp3 是免费的吗?
是的,Video Trimmer Mp3 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Video Trimmer Mp3 支持哪些平台?
Video Trimmer Mp3 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 Mp3?
由 vcarolxhberger(@vcarolxhberger)开发并维护,当前版本 v1.0.0。
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