← 返回 Skills 市场
vynbosserman65

Text To Video Generative Ai

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
102
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-generative-ai
功能描述
Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video of a sunset over a city skyline with cinematic...
安全使用建议
This skill appears to be a client for a third-party video-generation API and needs a NEMO_TOKEN (or will create a short-lived anonymous token) and permission to upload files to that service. Before installing: verify the provider domain (mega-api-prod.nemovideo.ai), confirm the privacy/data retention policy (you will upload media and text), and consider testing with non-sensitive content. Ask the publisher for clarification about the config path (~/.config/nemovideo/) and the 'X-Skill-Platform' auto-detection (how it determines an install path for an instruction-only skill). Prefer using an account token you control rather than letting the skill create an anonymous token if you care about traceability. Because of the metadata inconsistencies and ambiguous platform-detection step, proceed only after those points are clarified.
功能分析
Type: OpenClaw Skill Name: text-to-video-generative-ai Version: 1.0.0 The skill provides a functional interface for a text-to-video generation service hosted at mega-api-prod.nemovideo.ai. It outlines standard procedures for authentication, session management, file uploads, and credit tracking. All requested permissions (NEMO_TOKEN environment variable and network access) are directly relevant to its stated purpose, and the instructions include security-conscious directives such as avoiding the disclosure of raw tokens or JSON in the user interface.
能力评估
Purpose & Capability
The skill's name/description (text-to-video) align with its network calls and the NEMO_TOKEN credential. However the frontmatter/metadata references a config path (~/.config/nemovideo/) while the registry metadata elsewhere lists no required config paths—this mismatch is unexplained. Requiring NEMO_TOKEN is reasonable, but the skill can also obtain an anonymous token itself, so declaring the env var as strictly required is inconsistent.
Instruction Scope
SKILL.md directs the agent to call multiple API endpoints, upload user files (up to 500MB), hold session tokens, and stream SSE responses — all expected for a cloud render client. Concerns: it asks the agent to auto-detect an 'install path' to set X-Skill-Platform (odd for an instruction-only skill), and requires persistent session/token handling in memory (and implies saving session_id). There is no instruction to access unrelated local files, but the install-path detection and configPath mention broaden the scope in unclear ways.
Install Mechanism
Instruction-only skill with no install spec or bundled code — lowest install risk. Nothing is downloaded or written by an installer per the provided metadata.
Credentials
Only one credential (NEMO_TOKEN) is declared, which fits a cloud API client. But the skill also documents creating an anonymous token by calling the provider endpoint (so the env var might not be strictly necessary). The frontmatter's configPaths entry is inconsistent with the registry summary (no required config paths), which suggests either sloppy metadata or an expectation of reading/writing ~/.config/nemovideo/ that isn't made explicit.
Persistence & Privilege
always:false and no special system-wide privileges requested. The skill expects to manage its own session token and session_id, which is normal. It does not request permanent presence or modification of other skills.
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 text-to-video-generative-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-generative-ai 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
- Initial release of "Text to Video Generative AI"—turn text prompts into short videos using cloud-based AI. - Supports TXT, DOCX, PDF, and plain text files up to 500MB for input. - Automatically manages API token and editing session setup; shows clear connection status. - Exports 1080p MP4 videos; export jobs processed on cloud GPUs and delivered in 1–3 minutes. - Features intent-based actions for exporting, credits checking, uploads, and timeline status. - Robust error handling and user guidance for session, credit, and file issues.
元数据
Slug text-to-video-generative-ai
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

Text To Video Generative Ai 是什么?

Skip the learning curve of professional editing software. Describe what you want — generate a 15-second video of a sunset over a city skyline with cinematic... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 102 次。

如何安装 Text To Video Generative Ai?

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

Text To Video Generative Ai 是免费的吗?

是的,Text To Video Generative Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Text To Video Generative Ai 支持哪些平台?

Text To Video Generative Ai 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 Generative Ai?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

💬 留言讨论