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Text To Video Diffusion

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
62
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0
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0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-diffusion
功能描述
Turn a short descriptive sentence like 'a fox running through a snowy forest at dusk' into 1080p AI-generated video just by typing what you need. Whether it'...
安全使用建议
This skill appears to implement a typical cloud text→video workflow, but note three things before installing: (1) it will automatically contact an external API and, if you don't supply NEMO_TOKEN, will create and persist an anonymous token for you — this happens when the skill is first opened and may occur without an explicit prompt; (2) SKILL.md mentions reading or referencing local config/install paths (~/.config/nemovideo/ and install-path detection for X-Skill-Platform), which is not clearly necessary and is inconsistently declared — ask the publisher whether the skill will read any files from your home directory and where tokens/session data are stored; (3) the backend domain (mega-api-prod.nemovideo.ai) is external and not audited here — if you care about privacy or sensitive content, verify the service's reputation, limit what you upload, or create a scoped service token you can revoke. If you want low risk, only enable this skill for non-sensitive prompts or require an explicit, user-provided NEMO_TOKEN rather than letting the skill mint one automatically.
功能分析
Type: OpenClaw Skill Name: text-to-video-diffusion Version: 1.0.0 The skill is a legitimate integration for a text-to-video generation service hosted at nemovideo.ai. It provides clear instructions for the agent to manage API authentication, session handling, and media rendering workflows. Notably, it includes a security-conscious instruction to avoid displaying raw API tokens or responses to the user, and it does not attempt to access sensitive local files or execute unauthorized commands.
能力评估
Purpose & Capability
The name/description match the documented API calls (session creation, uploads, render/export). Requesting a NEMO_TOKEN and calling nemovideo.ai endpoints is coherent for a cloud text→video service. However the SKILL.md metadata also references a config path (~/.config/nemovideo/) and asks for headers that are derived from the agent's install path — reading those local paths is not clearly necessary for core functionality and is not consistently declared in the top-level requirements.
Instruction Scope
The runtime instructions tell the agent to automatically connect on first-open and to obtain an anonymous token if NEMO_TOKEN is not set (network calls and token creation without explicit user confirmation). They also require storing the session_id/token for later requests but give no secure-storage guidance. The header that derives X-Skill-Platform from install path implies examining local install paths; that file-system access is not explicitly declared elsewhere and may be unnecessary for the task.
Install Mechanism
Instruction-only skill with no install spec or downloaded code, which minimizes on-disk risks. All runtime behavior is remote API calls.
Credentials
Only NEMO_TOKEN is declared as required, which is proportionate for a remote video-rendering service. However the SKILL.md metadata and instructions imply reading a config path (~/.config/nemovideo/) and deriving platform from install paths — this could expose local config or metadata beyond what the service strictly needs. Also the skill will generate and persist an anonymous token if one is not provided, so it will create credentials automatically.
Persistence & Privilege
always is false and the skill does not request elevated platform privileges. It does ask the agent to store short-lived session tokens to operate, which is normal for this type of service, but storage location and lifetime are unspecified.
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-diffusion
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-diffusion 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-diffusion: - Generate 1080p AI-powered videos directly from text prompts. - Simple workflow: enter a descriptive sentence, get a video in 1–3 minutes—no manual editing needed. - Automated backend setup, including free token retrieval (100 credits for 7 days) and session management. - Supports file uploads, timeline edits, credits checking, and one-click export (MP4, various formats and tracks). - User input intelligently routed to actions (generate, upload, export, check balance, etc.) using keyword/intent analysis. - Cloud rendering with detailed API response handling and clear error messages for common issues.
元数据
Slug text-to-video-diffusion
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 Diffusion 是什么?

Turn a short descriptive sentence like 'a fox running through a snowy forest at dusk' into 1080p AI-generated video just by typing what you need. Whether it'... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 62 次。

如何安装 Text To Video Diffusion?

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

Text To Video Diffusion 是免费的吗?

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

Text To Video Diffusion 支持哪些平台?

Text To Video Diffusion 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 Diffusion?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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