← 返回 Skills 市场
peand-rover

Text To Video Diffusion Models

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
66
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-diffusion-models
功能描述
Get AI generated clips ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, PNG, up to 10MB), say something like "gener...
安全使用建议
This skill appears to do what it says (send prompts/files to a cloud render API and return videos), but before installing you should: 1) Note the backend host (mega-api-prod.nemovideo.ai) has no homepage listed here — verify you trust that third party before sending any sensitive or proprietary content. 2) Be aware the skill will automatically create and store an anonymous NEMO_TOKEN if you don't provide one (tokens expire and are rate-limited) — if you prefer more control, supply your own token rather than letting the skill generate one. 3) The SKILL.md frontmatter lists a config path (~/.config/nemovideo/) even though the registry said none — ask the publisher where tokens/sessions are stored and whether anything is written to disk. 4) If privacy is a concern, avoid uploading private data (scripts, confidential images) until you confirm the provider's privacy/retention policy. 5) Consider requesting the publisher's homepage or source repository for more transparency; absence of that information raises the chance the service is experimental or unreviewed.
功能分析
Type: OpenClaw Skill Name: text-to-video-diffusion-models Version: 1.0.0 The skill provides a functional interface for a text-to-video generation service hosted at nemovideo.ai. It includes detailed instructions for the agent to handle authentication (via NEMO_TOKEN or anonymous UUID), session management, file uploads, and video rendering. The code and instructions in SKILL.md are strictly aligned with the stated purpose of generating AI videos and do not exhibit signs of data exfiltration, malicious execution, or unauthorized access to sensitive system files.
能力评估
Purpose & Capability
Name/description (text→video generation) match the runtime instructions: the SKILL.md describes uploading prompts/files and calling a cloud render/API at mega-api-prod.nemovideo.ai. Requiring a NEMO_TOKEN is consistent. However the package metadata is inconsistent: the registry reported no required config paths, but the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) — this mismatch is unexplained.
Instruction Scope
Instructions remain within the stated scope (create session, POST prompts/files, poll render, fetch download URL). They also instruct automatic anonymous-token creation (POST to /api/auth/anonymous-token) and to store session_id/token. The skill will send user prompts and uploaded files to an external service — expected for this feature but privacy-relevant. There are no instructions to read unrelated system files, but auto-detecting X-Skill-Platform from an install path implies the agent may examine its install/runtime path.
Install Mechanism
Instruction-only skill with no install spec and no code files; nothing is written to disk by an installer. This is the lowest install risk.
Credentials
Only one credential (NEMO_TOKEN) is required, which fits the service. The skill will auto-obtain an anonymous NEMO_TOKEN if none is provided (POST to the provider) and instruct storing it for subsequent calls — a sometimes-surprising behavior that elevates privacy risk because credentials are created and stored on the user's behalf. No other unrelated secrets are requested.
Persistence & Privilege
always:false and normal autonomous invocation. The skill asks to persist session/token state (expected for an API client) but does not request elevated platform privileges or modify other skills. The persistence of tokens/session info is a normal behavior but worth noting as it stores credentials for later use.
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-models
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-diffusion-models 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-models v1.0.0. - Generate AI videos from text prompts or uploaded files (TXT, DOCX, PDF, PNG, up to 10MB). - Automatic backend connection and token handling for new users; 100 free credits for 7 days. - Cloud rendering outputs 1080p MP4 and other formats, with simple export and download workflow. - Built-in error handling, timeline state management, and mapping of natural user requests to video actions. - Designed for marketers and creators to produce content quickly, no video editing skills required.
元数据
Slug text-to-video-diffusion-models
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 Models 是什么?

Get AI generated clips ready to post, without touching a single slider. Upload your text prompts (TXT, DOCX, PDF, PNG, up to 10MB), say something like "gener... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 66 次。

如何安装 Text To Video Diffusion Models?

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

Text To Video Diffusion Models 是免费的吗?

是的,Text To Video Diffusion Models 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 Models 支持哪些平台?

Text To Video Diffusion Models 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 Models?

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

💬 留言讨论