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vcarolxhberger

Text To Video Ki

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
92
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-ki
功能描述
Turn a short paragraph describing a product launch scene into 1080p AI generated videos just by typing what you need. Whether it's generating videos from wri...
安全使用建议
This skill appears to do what it says: it sends your text and any media you provide to a remote video-rendering service (mega-api-prod.nemovideo.ai) and returns a downloadable video. Before installing or using it, consider: 1) Privacy — uploaded media will be sent to an external service; don't upload sensitive content unless you trust the service and its policies. 2) Token handling — the skill accepts a NEMO_TOKEN you provide or will obtain an anonymous token for you; providing your own token gives the service access tied to that token, while anonymous tokens have limited credits. 3) Metadata mismatch — the SKILL.md mentions a config path (~/.config/nemovideo/) that the registry metadata did not; this is likely benign but note the skill may read that folder. 4) Source trust — there is no homepage or known publisher in the registry entry; if you require stronger assurance, ask the publisher for a homepage, privacy policy, or source code before proceeding.
功能分析
Type: OpenClaw Skill Name: text-to-video-ki Version: 1.0.0 The skill provides a legitimate integration for an AI video generation service hosted at mega-api-prod.nemovideo.ai. It includes detailed instructions for the agent to manage authentication, session state, and video rendering workflows. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found; the behavior is consistent with the stated purpose of generating videos from text prompts.
能力评估
Purpose & Capability
Name/description, required credential (NEMO_TOKEN), and the SKILL.md behavior all align: the skill talks to a cloud video-rendering backend, uploads media, creates render jobs, polls for results, and returns download URLs. One inconsistency: the registry metadata lists no required config paths, but the SKILL.md frontmatter declares a configPaths entry (~/.config/nemovideo/). This is likely a metadata mismatch but not a functional mismatch with the stated purpose.
Instruction Scope
Instructions are concrete and scoped to cloud rendering: check NEMO_TOKEN, optionally obtain an anonymous token via an API call, create sessions, handle SSE, upload files, poll export status, and return download links. The skill will read/derive an install path to set an X-Skill-Platform header and references a user config directory. It does not instruct reading unrelated system files or other credentials. It will upload user-provided media to the remote service — expected for this functionality but a privacy consideration.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or fetched by an installer. Lowest install risk.
Credentials
Only NEMO_TOKEN is declared as required and used as a Bearer token for API calls. The SKILL.md also supports generating an anonymous token if NEMO_TOKEN is absent (via a POST to the service). No unrelated secrets or multiple credentials are requested. The configPaths entry in the frontmatter (not reflected in registry metadata) suggests the skill may look in ~/.config/nemovideo/ for local state, which is plausible for this service but should be noted.
Persistence & Privilege
always is false and the skill is user-invocable; it does not demand forced inclusion or elevated platform privileges. The skill manages its own session and tokens for the remote service, which is normal for this type of integration.
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-ki
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-ki 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-ki, enabling users to generate 1080p AI videos from text prompts. - Automatic cloud backend setup with support for anonymous session creation and free trial credits. - Simple, chat-driven workflow to convert product launch or social content descriptions into ready-to-download MP4 videos. - Supports video, audio, and text tracks, with intuitive handling of user prompts for export, credits, status, and uploads. - Includes robust error handling, session management, and tips for best results.
元数据
Slug text-to-video-ki
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 Ki 是什么?

Turn a short paragraph describing a product launch scene into 1080p AI generated videos just by typing what you need. Whether it's generating videos from wri... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 92 次。

如何安装 Text To Video Ki?

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

Text To Video Ki 是免费的吗?

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

Text To Video Ki 支持哪些平台?

Text To Video Ki 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 Ki?

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

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