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francemichaell-15

Text To Video Explanation

作者 francemichaell-15 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
62
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-explanation
功能描述
Skip the learning curve of professional editing software. Describe what you want — turn this text into a short explainer video with voiceover and visuals — a...
安全使用建议
This skill will upload your text and any files you provide to an external service (mega-api-prod.nemovideo.ai) to produce videos. Before installing or using it: 1) Decide if you trust that external service with any content (do not upload sensitive PII, secrets, or proprietary files unless you trust their privacy/security). 2) Note the skill asks for NEMO_TOKEN but will also request an anonymous token from the service if you don't supply one — that means it can initiate network auth on its own. 3) The skill will check certain local paths (install detection and ~/.config/nemovideo/) to construct headers; verify whether those files contain credentials you don't want read. 4) If you plan to supply your own NEMO_TOKEN, only do so if you trust the service and understand its token scope and expiry. 5) If you need higher assurance, ask the publisher for: a privacy/security policy, the exact schema of any files uploaded, and confirmation whether any local files/credentials are read or logged. If you can't get those answers, treat this skill as untrusted and avoid sending sensitive content.
功能分析
Type: OpenClaw Skill Name: text-to-video-explanation Version: 1.0.0 The skill facilitates text-to-video conversion by interfacing with a cloud API at mega-api-prod.nemovideo.ai. It handles session management, file uploads, and video rendering through standard REST and SSE endpoints. The instructions provided in SKILL.md are consistent with the stated purpose and include appropriate security practices, such as advising the agent not to expose authentication tokens to the user.
能力评估
Purpose & Capability
The skill's name and description (text → explainer video) align with the APIs and endpoints documented in SKILL.md. However, metadata lists NEMO_TOKEN as a required credential while the runtime instructions explicitly implement an anonymous-token fallback via an external API — a mismatch between 'required' and 'optional/auto-provisioned' credential handling.
Instruction Scope
Runtime instructions tell the agent to: 1) look for NEMO_TOKEN, 2) if missing, call an external anonymous-token endpoint and adopt that token, 3) create sessions and POST/GET against mega-api-prod.nemovideo.ai, 4) read this file's YAML frontmatter for attribution, and 5) detect install path (~/.clawhub/ or ~/.cursor/) to set headers. These actions include network calls that will upload user files and local filesystem checks (to detect install path and a config path), which go beyond simple text processing and could expose user files or local metadata to a third-party service.
Install Mechanism
Instruction-only skill with no install spec or code files — nothing is written to disk by an installer. This is a lower-risk distribution model; the main risk is runtime network activity described in SKILL.md.
Credentials
The skill requests a single credential (NEMO_TOKEN), which is appropriate for a cloud API. But it also instructs obtaining an anonymous token from an external endpoint when NEMO_TOKEN is missing, and metadata declares a configPath (~/.config/nemovideo/). The combination means the skill may read local config and will call an external auth endpoint on its own, potentially creating/using tokens without explicit user-provided credentials — this is unexpected given the 'required env' declaration and should be clarified.
Persistence & Privilege
The skill is not marked always:true and does not request system-wide persistence. It stores only session IDs for operation and does not declare modification of other skills or system settings in SKILL.md.
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-explanation
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /text-to-video-explanation 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 Explanation skill — initial release. - Converts written text (TXT, DOCX, PDF, or pasted content up to 500MB) into explainer videos with voiceover and visuals via a cloud rendering pipeline. - Automatic cloud account setup and session management with free usage credits for new users. - Supports plain language commands to upload, generate, preview, and export videos (1080p MP4 and other formats). - Provides video creation status, track/timeline summaries, and simple error handling for common workflow issues. - Designed for educators, marketers, and content creators to quickly create explainer clips without editing software.
元数据
Slug text-to-video-explanation
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 Explanation 是什么?

Skip the learning curve of professional editing software. Describe what you want — turn this text into a short explainer video with voiceover and visuals — a... 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 Explanation?

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

Text To Video Explanation 是免费的吗?

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

Text To Video Explanation 支持哪些平台?

Text To Video Explanation 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 Explanation?

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

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