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francemichaell-15

Text To Video Free Demo

作者 francemichaell-15 · 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-free-demo
功能描述
Turn a two-sentence product description into 1080p generated video clips just by typing what you need. Whether it's generating videos from written text witho...
安全使用建议
This skill appears to do what it says (cloud-based text→video) and only asks for one credential (NEMO_TOKEN). Before installing: 1) Confirm you want uploads and final videos sent to the external domain mega-api-prod.nemovideo.ai and are comfortable with that provider's privacy and retention policies. 2) Consider creating a limited/throwaway NEMO_TOKEN or use the anonymous flow rather than a shared long-lived token. 3) Note the skill asks the agent to probe local install paths (~/.clawhub/, ~/.cursor/skills/) to set an attribution header — if you prefer not to expose filesystem layout, ask the skill author to stop that behavior. 4) The frontmatter mentions a config path (~/.config/nemovideo/) even though the registry listed none; verify whether the skill will read or write files there. If you need higher assurance, request source code or an explicit privacy/security statement from the publisher before granting credentials.
功能分析
Type: OpenClaw Skill Name: text-to-video-free-demo Version: 1.0.0 The skill is a functional integration for an AI video generation service (nemovideo.ai). It handles session management, file uploads, and credit tracking through standard REST and SSE endpoints. While it requests access to a specific configuration directory (~/.config/nemovideo/) and environment variables (NEMO_TOKEN), these are strictly aligned with its stated purpose of providing a text-to-video interface, and no evidence of data exfiltration or malicious execution was found.
能力评估
Purpose & Capability
The name/description (text-to-video demo) aligns with the network endpoints, upload, export and SSE flows described in SKILL.md and the single required credential (NEMO_TOKEN). However, the skill's frontmatter requests a config path (~/.config/nemovideo/) and asks the agent to detect install path for attribution headers; these filesystem accesses are not strictly necessary to provide text→video functionality and are inconsistent with the registry metadata that lists no required config paths.
Instruction Scope
SKILL.md instructs the agent to make multiple network calls to mega-api-prod.nemovideo.ai (session creation, SSE chat, upload, export polling) and to upload user files to that third-party service — consistent with a cloud render pipeline. It also directs the agent to generate a UUID for anonymous auth if no NEMO_TOKEN is present. The potentially unexpected instruction: detect local install path (~/.clawhub/ or ~/.cursor/skills/) and include that in attribution headers (reads filesystem). This is beyond strictly required video-generation behavior and should be considered privacy-sensitive.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes on-disk code risk; there is nothing downloaded or installed by the skill itself.
Credentials
The skill requests a single primary secret, NEMO_TOKEN, which is proportional to a cloud API integration. It also documents a config path in the YAML frontmatter (~/.config/nemovideo/) that the registry metadata did not list — an inconsistency. The SKILL.md will create and use an anonymous token when NEMO_TOKEN is absent; that behavior is plausible but means the agent will call the external auth endpoint and share a generated client id with the service.
Persistence & Privilege
always:false and disable-model-invocation:false (normal). The skill does not request permanent presence or permissions to modify other skills or system-wide config. It does instruct normal session creation and polling against the external service, but nothing indicates it persists beyond ordinary session tokens.
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-free-demo
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-free-demo 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
Text to Video Free Demo - Initial Release - Instantly convert product descriptions or short text prompts into 1080p AI-generated video clips—no editing or exporting steps required. - Automatic backend connection: uses environment token if present, otherwise grants a free starter token (100 credits, 7-day validity). - Supports quick export, credits checking, status viewing, and uploading, all routed by smart intent recognition. - Cloud rendering pipeline: generates, edits, and exports videos (MP4 and more) within 30–90 seconds. - Built-in error handling for authentication, file format/size, export permissions, and credits. - Easily preview timeline summaries, manage media tracks, and refine videos iteratively in one streamlined chat-driven workflow.
元数据
Slug text-to-video-free-demo
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 Free Demo 是什么?

Turn a two-sentence product description into 1080p generated video clips just by typing what you need. Whether it's generating videos from written text witho... 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 Free Demo?

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

Text To Video Free Demo 是免费的吗?

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

Text To Video Free Demo 支持哪些平台?

Text To Video Free Demo 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 Free Demo?

由 francemichaell-15(@francemichaell-15)开发并维护,当前版本 v1.0.0。

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