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Text To Video Generation
作者
linmillsd7
· GitHub ↗
· v1.0.0
· MIT-0
86
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-generation
功能描述
Get AI-generated videos ready to post, without touching a single slider. Upload your text prompt (TXT, DOCX, PDF, copied text, up to 500MB), say something li...
安全使用建议
This skill is internally consistent for a cloud text→video service: it needs a NEMO_TOKEN (or will obtain a temporary anonymous token) and will upload content and poll the nemovideo.ai API. Before installing, confirm you trust the nemovideo.ai domain and its privacy/policy (you may be uploading up to 500MB of text/assets). Prefer providing a scoped or short-lived token rather than long-lived credentials, avoid uploading sensitive or proprietary content unless you verify the service, and be aware the agent will make network requests and may detect its install path to populate attribution headers.
功能分析
Type: OpenClaw Skill
Name: text-to-video-generation
Version: 1.0.0
The skill provides a functional integration for a text-to-video generation service via the nemovideo.ai API. It contains detailed instructions for the AI agent to manage sessions, handle authentication (using NEMO_TOKEN or generating anonymous tokens), and process video rendering workflows. The behavior is transparently documented and aligns with the stated purpose of the tool, with no evidence of data exfiltration, malicious execution, or harmful prompt injection.
能力评估
Purpose & Capability
Name/description match the runtime instructions: the SKILL.md drives a cloud render API and requires a single service token (NEMO_TOKEN) and an optional config path (~/.config/nemovideo/). There are no unrelated credentials or binaries requested.
Instruction Scope
Instructions are focused on creating sessions, streaming SSE edits, uploads, exports and polling the nemovideo backend. They include an automatic anonymous-token flow if NEMO_TOKEN is absent and require adding attribution headers. The only minor scope creep is detection of the agent install path to set X-Skill-Platform (implies reading environment/install path), but otherwise the instructions do not ask for unrelated files or secrets.
Install Mechanism
No install spec or code is provided (instruction-only), so nothing is written to disk or downloaded by the skill itself.
Credentials
Only NEMO_TOKEN is declared as required and used by the API. The skill also documents an anonymous-token acquisition flow (creating a temporary token) which aligns with the service usage. No unrelated secret/env access is requested.
Persistence & Privilege
No elevated privileges requested. always is false, the skill is user-invocable, and it does not instruct modifying other skills or system-wide 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 text-to-video-generation - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-to-video-generation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 text-to-video-generation skill.
- Instantly turn text prompts (TXT, DOCX, PDF, or pasted text, up to 500MB) into AI-generated 1080p videos with visuals and background music.
- Designed for rapid, no-editing video creation—just describe what you want and receive an MP4 for download.
- Handles session management, uploads, credits, and exports automatically via API (no user setup required).
- Full support for common text, audio, and video workflows, including status queries, file uploads, and export in various formats.
- Smart error handling and clear, non-technical user feedback for seamless experience.
元数据
常见问题
Text To Video Generation 是什么？
Get AI-generated videos ready to post, without touching a single slider. Upload your text prompt (TXT, DOCX, PDF, copied text, up to 500MB), say something li... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 86 次。
如何安装 Text To Video Generation？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-generation」即可一键安装，无需额外配置。
Text To Video Generation 是免费的吗？
是的，Text To Video Generation 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Text To Video Generation 支持哪些平台？
Text To Video Generation 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 Text To Video Generation？
由 linmillsd7（@linmillsd7）开发并维护，当前版本 v1.0.0。
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