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Text To Video For Studying
作者
dsewell-583h0
· GitHub ↗
· v1.0.0
· MIT-0
71
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-for-studying
功能描述
Get study explainer videos ready to post, without touching a single slider. Upload your text notes (TXT, DOCX, PDF, MD, up to 50MB), say something like "turn...
安全使用建议
This skill looks coherent with its stated purpose — it uploads your notes/media to a third-party video-rendering service (mega-api-prod.nemovideo.ai) and requires a service token (NEMO_TOKEN). Before installing, consider: 1) Privacy: any files you upload will be sent to that external service; do not upload sensitive or private data unless you trust the provider and their policies. 2) Tokens: if you don't set NEMO_TOKEN the skill will request an anonymous token automatically — understand what data that anonymous session can access and how long credits/tokens last. 3) Config path: the metadata lists ~/.config/nemovideo/ — ask the publisher what the skill reads/writes there (caching tokens, logs, etc.). 4) Attribution headers: the skill embeds X-Skill-Source/Version in requests; that is expected but means network calls include identifying metadata. 5) Verify the service domain (mega-api-prod.nemovideo.ai) and its privacy/terms before sending course materials. If you can, request from the publisher a brief explanation of why ~/.config/nemovideo/ is required and whether any user files beyond the uploaded notes will be accessed. If the skill later includes code files, installers, or additional required environment variables, re-evaluate — that would increase risk.
功能分析
Type: OpenClaw Skill
Name: text-to-video-for-studying
Version: 1.0.0
The skill 'text-to-video-for-studying' is a legitimate integration for the NemoVideo AI service, allowing users to convert text notes into videos. It provides the AI agent with detailed instructions for managing authentication (via NEMO_TOKEN or an anonymous token endpoint), session handling, and interacting with the service's API (mega-api-prod.nemovideo.ai) for uploading content and rendering video. While it includes logic for the agent to determine its installation environment for telemetry headers (X-Skill-Platform), its behaviors are transparently aligned with its stated purpose and lack indicators of malicious intent or unauthorized data access.
能力评估
Purpose & Capability
Name/description align with behavior: the skill talks to a remote video-rendering API and requires a single service token (NEMO_TOKEN). However the registry metadata declares a config path (~/.config/nemovideo/) that is not clearly referenced in the SKILL.md runtime flow — this is plausibly for caching or local config but is not explained.
Instruction Scope
The SKILL.md stays within the claimed domain: it instructs uploading user text/files, creating a session, streaming SSE responses, starting renders, and polling state. It also instructs reading the skill's YAML frontmatter (for attribution headers) and checking the agent's install path. The skill will send user content to an external domain (mega-api-prod.nemovideo.ai) and will auto-acquire an anonymous token if NEMO_TOKEN is absent — this is expected but important for privacy.
Install Mechanism
No install spec and no code files (instruction-only) — lowest-risk installation footprint. Nothing is downloaded or written by an installer.
Credentials
Only one credential is declared (NEMO_TOKEN) — appropriate for a single-backend skill. The skill will also obtain an anonymous token from the backend if no token is present (network call). The declared config path (~/.config/nemovideo/) may imply reading or writing local config; the SKILL.md does not justify this, so confirm whether local config access is required and what is stored there.
Persistence & Privilege
always is false and the skill does not request system-wide changes. It does not ask to modify other skills or global agent settings in the instructions provided.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install text-to-video-for-studying - 安装完成后,直接呼叫该 Skill 的名称或使用
/text-to-video-for-studying触发 - 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 — convert study notes into explainer videos effortlessly.
- Upload text notes (TXT, DOCX, PDF, MD, up to 50MB) and generate 1080p MP4 videos with narration and visuals
- Automatic cloud session setup: handles token generation, session management, and file uploads
- Supports user prompts for editing, exporting, checking credits, and managing timeline state
- Fast video rendering (1–2 minutes) with downloadable results
- Clear file type and size support, helpful error guidance, and seamless workflows for study content creation
元数据
常见问题
Text To Video For Studying 是什么?
Get study explainer videos ready to post, without touching a single slider. Upload your text notes (TXT, DOCX, PDF, MD, up to 50MB), say something like "turn... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 71 次。
如何安装 Text To Video For Studying?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-for-studying」即可一键安装,无需额外配置。
Text To Video For Studying 是免费的吗?
是的,Text To Video For Studying 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Text To Video For Studying 支持哪些平台?
Text To Video For Studying 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 For Studying?
由 dsewell-583h0(@dsewell-583h0)开发并维护,当前版本 v1.0.0。
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