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在 OpenClaw 中安装
/install video-generation-t2v-i2v
功能描述
AI Video generation toolkit — generate videos from text prompts or input images using multiple AI models (Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Ima...
安全使用建议
This skill appears to do what it says: it calls the inference.sh CLI to generate video and (for image→video) uploads images to ImgBB or SM.MS. Before installing, ensure you: (1) trust the inference.sh CLI you install (install from the official source), (2) avoid uploading sensitive/private images to third-party hosts (ImgBB/SM.MS will receive the image), (3) be aware the scripts load .env from the skill folder and the current working directory (so do not keep secrets you don't want the skill process to see in .env in those locations), and (4) run in an isolated environment if you have concerns about executing external binaries or network uploads.
功能分析
Type: OpenClaw Skill
Name: video-generation-t2v-i2v
Version: 1.0.1
The skill bundle requires the installation of an external third-party CLI (@inference.sh/cli) and automatically uploads local user images to public hosting services (ImgBB and SM.MS) via 'scripts/image_to_video.py'. While these actions are documented as necessary for the AI video generation process, they represent a significant privacy risk and a supply chain vulnerability by executing external binaries and exfiltrating local data to public third-party endpoints.
能力评估
Purpose & Capability
Name/description (text→video, image→video) match the included Python scripts and SKILL.md. The skill depends on the external inference.sh CLI and optionally image hosting services (ImgBB/SM.MS), which is appropriate for this functionality.
Instruction Scope
Runtime instructions stay within video generation: they invoke inference.sh and (for image→video) upload images to SM.MS or ImgBB, then run the CLI and save outputs. Two minor scope notes: the scripts load .env files from the skill directory and the current working directory (which can populate environment variables), and uploaded images are transmitted to third-party hosts — both are expected for the stated features but are material to privacy.
Install Mechanism
No built-in install spec; SKILL.md instructs users to install the well-known inference.sh CLI (npm/pip) and to install Python deps via requirements.txt. No downloads from arbitrary URLs or archive extraction in the skill bundle.
Credentials
The skill does not require any platform credentials by default. It optionally uses IMGBB_API_KEY (or --api-token) to upload images to ImgBB; SM.MS can be used anonymously. The scripts read .env files (skill root and cwd) and populate environment variables, which is convenient but means local secrets in .env may be loaded into the process (the code does not exfiltrate those env vars).
Persistence & Privilege
The skill does not request persistent always-on privileges, does not modify other skills, and only writes generated video files to a local outputs directory. Autonomous invocation is allowed by default but is typical for skills and not excessive here.
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-generation-t2v-i2v - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-generation-t2v-i2v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
v1.0.1
- Added requirement for the inference.sh CLI and provided installation instructions.
- Updated image-to-video constraints: images must be accessible via public URL, and users must supply their own API key for ImgBB or SM.MS, or use publicly accessible images.
- Clarified that for ImgBB, the API token is now required and must be provided via the `--api-token` flag or environment variable.
- Improved documentation on prerequisites and setup for both tools.
v1.0.0
- In terms of video generation, more user-friendly skills.
- Including scripts for text-to-video and image-to-video generation with clear CLI flags.
- Now supports absolute path outputs for easy UI rendering of generated videos and images.
- Example usage and available models are provided directly in the main documents.
元数据
常见问题
Video Generation (t2v & i2v) 是什么？
AI Video generation toolkit — generate videos from text prompts or input images using multiple AI models (Veo 3.1, Veo 3, Seedance 1.5 Pro, Wan 2.5, Grok Ima... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 365 次。
如何安装 Video Generation (t2v & i2v)？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-generation-t2v-i2v」即可一键安装，无需额外配置。
Video Generation (t2v & i2v) 是免费的吗？
是的，Video Generation (t2v & i2v) 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Video Generation (t2v & i2v) 支持哪些平台？
Video Generation (t2v & i2v) 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 Generation (t2v & i2v)？
由 GentleYo（@gentleyo）开发并维护，当前版本 v1.0.1。
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