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vcarolxhberger

Remover From Video

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
48
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install remover-from-video
功能描述
edit video clips into cleaned video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators, marketers, YouTubers use it fo...
安全使用建议
This skill will send your video files to a third‑party cloud service (mega-api-prod.nemovideo.ai) for processing and will programmatically obtain or use a NEMO_TOKEN. Before installing or using it: 1) Confirm you trust the endpoint and check its privacy/terms (there is no homepage or publisher info provided). 2) Do not upload sensitive or private footage unless you accept that it will be transmitted to and stored/processed by that service. 3) Ask the publisher why the SKILL.md frontmatter lists a config path and why the skill needs to probe local install paths — this reads local filesystem metadata and is not strictly necessary for video processing. 4) Prefer providing your own NEMO_TOKEN only if you trust the service; anonymous token creation is supported but still contacts the remote API. 5) If privacy is critical, consider local alternatives (ffmpeg + local inpainting models) instead of a cloud upload. If you want a firmer judgement, provide the skill publisher, a homepage/privacy policy, or network traces of the exact HTTP calls the agent will make.
功能分析
Type: OpenClaw Skill Name: remover-from-video Version: 1.0.0 The skill is a functional integration for a video editing service (nemovideo.ai) that allows users to remove objects from video clips. It provides clear instructions for an AI agent to handle authentication via anonymous tokens, manage sessions, and interact with cloud rendering APIs. While it includes logic for environment fingerprinting (checking install paths like ~/.cursor/skills/ to set telemetry headers), this behavior is aligned with its stated purpose and lacks indicators of malicious intent, data exfiltration, or unauthorized execution.
能力评估
Purpose & Capability
The skill name/description (cloud-based object removal) matches the network endpoints and flows in SKILL.md (session creation, upload, render, export). Requesting a single service token (NEMO_TOKEN) is expected. However, the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) while the registry metadata lists no required config paths — this mismatch is an inconsistency in declared requirements. The SKILL.md also instructs deriving an X-Skill-Platform value by probing install paths in the user home, which suggests filesystem inspection that isn't justified by the stated capability.
Instruction Scope
The runtime instructions will cause the agent to: contact https://mega-api-prod.nemovideo.ai, exchange/obtain an anonymous token, create sessions, upload user video files (multipart file uploads or URLs), stream SSE, and poll for rendered output. Uploading user video content to an external service is intrinsic to the skill, but the instructions also ask the agent to detect install paths (~/.clawhub/, ~/.cursor/skills/) to set headers — this implies reading local filesystem paths. The doc emphasizes not to 'expose tokens' but also instructs extracting and using tokens programmatically. There are no instructions that read unrelated system files, but the platform-detection and mismatched configPaths raise scope creep concerns.
Install Mechanism
This is instruction-only with no install spec and no code files — nothing new is written to disk by an installer. That reduces supply-chain risk compared with arbitrary downloads.
Credentials
Only one environment variable is declared (NEMO_TOKEN / primaryEnv), which is proportionate for a cloud API skill. But SKILL.md describes obtaining an anonymous token automatically if NEMO_TOKEN is absent, and the frontmatter references a config path (~/.config/nemovideo/) that is not declared in the registry metadata — an inconsistency. The skill does not request other unrelated credentials, which is good.
Persistence & Privilege
always:false and no install hooks are present. The skill does not request permanent platform presence or permissions to modify other skills or global config. Session state (session_id) is expected to be kept only for in-session operations as described.
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 remover-from-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /remover-from-video 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
Remover from Video — Initial Release - Launches AI-powered cloud tool for removing objects, watermarks, or logos from video clips up to 500MB (MP4, MOV, AVI, WebM supported). - Automated session setup and authentication, with 100 free credits for new users on first use. - Handles object removal in 1–2 minutes per clip, returning 1080p MP4 files. - Supports bulk uploads and iterative editing within a session. - Clear, user-friendly error handling and step-by-step guidance for uploads, exports, and edits.
元数据
Slug remover-from-video
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

Remover From Video 是什么?

edit video clips into cleaned video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators, marketers, YouTubers use it fo... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 48 次。

如何安装 Remover From Video?

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

Remover From Video 是免费的吗?

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

Remover From Video 支持哪些平台?

Remover From Video 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 Remover From Video?

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

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