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To Your Video
作者
susan4731-wilfordf
· GitHub ↗
· v1.0.0
· MIT-0
57
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install to-your-video
功能描述
Turn a 2-minute MP4 uploaded from your desktop into 1080p edited video file just by typing what you need. Whether it's applying AI edits and enhancements to...
安全使用建议
Before installing or invoking this skill, consider the following:
- Privacy: The skill uploads whatever video you give it to https://mega-api-prod.nemovideo.ai for server-side rendering. If your videos contain sensitive or private content, do not use this skill unless you trust that remote service and its retention policy.
- Token handling: The skill will use a NEMO_TOKEN and can generate an anonymous token by calling the vendor API. Ask the author whether that token is stored only in memory or written to disk, and where it is persisted. If you prefer to control credentials, set NEMO_TOKEN yourself rather than allowing the agent to auto-generate one.
- Local filesystem access: The SKILL.md instructs the agent to check local install paths (e.g., ~/.clawhub/, ~/.cursor/skills/) to populate an attribution header. This is unrelated to editing and leaks information about your environment; request that the author remove or justify this behavior.
- Metadata mismatch: Registry metadata and the SKILL.md disagree about required config paths. Ask the skill author to reconcile the manifest and provide a clear privacy/security statement (what they store, retention of uploaded media, who can access rendered outputs, and whether tokens are shared).
- If you decide to proceed: only upload non-sensitive test videos first, confirm where tokens/sessions are stored, and verify the download URL and retention behavior for your uploaded media. If you cannot get satisfactory answers about token persistence and config-path access, avoid installing or using the skill.
功能分析
Type: OpenClaw Skill
Name: to-your-video
Version: 1.0.0
The 'to-your-video' skill is a functional integration for an AI video editing service hosted at mega-api-prod.nemovideo.ai. It manages authentication via anonymous tokens, handles multipart video uploads, and processes editing commands through a Server-Sent Events (SSE) pipeline. While it performs basic environment checks (e.g., verifying NEMO_TOKEN and identifying the host platform like Cursor or OpenClaw for attribution), these actions are clearly documented and aligned with the service's stated purpose of remote GPU-based video rendering.
能力评估
Purpose & Capability
The skill is a cloud video-editing front end and legitimately needs a service token and remote API calls. However, registry metadata said no required config paths while the SKILL.md frontmatter declares a config path (~/.config/nemovideo/). That mismatch is an inconsistency that should be explained by the skill author.
Instruction Scope
The runtime instructions will upload user video files to https://mega-api-prod.nemovideo.ai and require network calls for authentication, session creation, SSE streaming, upload, and export — which is expected for a cloud editor. However, the instructions also direct the agent to detect the local install platform by checking install paths (e.g., ~/.clawhub/, ~/.cursor/skills/) to set an X-Skill-Platform header. Reading those local paths is unrelated to video editing functionality and risks exposing environment details; this is scope creep and should be justified or removed. The skill also instructs the agent to generate and store tokens and session IDs; where and how those are persisted is not specified.
Install Mechanism
Instruction-only skill (no install spec, no code files). This minimizes filesystem footprint and code-execution risk. Network I/O remains the primary risk vector because all editing is server-side.
Credentials
The only declared credential is NEMO_TOKEN, which fits a remote API. But instructions allow the agent to obtain an anonymous token on the user's behalf (POST to the vendor endpoint) and then use/store it; it's unclear whether that token is saved to disk or environment permanently. The SKILL.md also references a local config path and requires reading install directories for attribution headers — these requests for local info are disproportionate to the stated editing task and could reveal presence of other agents or tooling.
Persistence & Privilege
The skill is not always-on and does not request special platform privileges. It does instruct the agent to store a session_id for subsequent requests and to reuse a NEMO_TOKEN if present; the skill does not explicitly state where tokens/session IDs are persisted (in-memory vs disk). Confirm where the skill writes any tokens or session state before installing.
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 to-your-video - 安装完成后,直接呼叫该 Skill 的名称或使用
/to-your-video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 of To Your Video — upload any short MP4 and apply AI edits via natural language.
- Upload a 2-minute MP4 and describe the desired edits to generate a 1080p video in 30–90 seconds.
- No timeline dragging or export settings required; just type your editing instructions.
- Handles subtitles, trimming, overlays, background music, and more via AI-based workflow.
- Automatic connection to backend and free token setup for new users (100 credits, valid 7 days).
- Supports status checks, credit balance, and easy download links.
- Clear error handling for expired tokens, credit issues, file sizes, and accepted formats.
元数据
常见问题
To Your Video 是什么?
Turn a 2-minute MP4 uploaded from your desktop into 1080p edited video file just by typing what you need. Whether it's applying AI edits and enhancements to... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 57 次。
如何安装 To Your Video?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install to-your-video」即可一键安装,无需额外配置。
To Your Video 是免费的吗?
是的,To Your Video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
To Your Video 支持哪些平台?
To Your 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 To Your Video?
由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。
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