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Text To Video Hindi
作者
francemichaell-15
· GitHub ↗
· v1.0.0
· MIT-0
87
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install text-to-video-hindi
功能描述
Skip the learning curve of professional editing software. Describe what you want — हिंदी टेक्स्ट से वीडियो बनाओ with matching visuals and voiceover — and get...
安全使用建议
This skill appears to do what it says: it talks to a nemo-video cloud API, uploads files, and returns produced videos. Before installing: (1) Understand that your uploaded files (TXT/DOCX/PDF/SRT etc.) will be sent to https://mega-api-prod.nemovideo.ai — do not upload sensitive/private data you wouldn't want sent to a third party. (2) The skill will obtain or require a NEMO_TOKEN; if you don't set one it will create an anonymous token and persist it for future calls — consider whether you prefer to provide your own token. (3) The frontmatter references a local config path (~/.config/nemovideo/) — expect local token/session storage; check and remove stored tokens if you later uninstall. (4) Verify the backend domain and service terms if you need a higher assurance level (no homepage or owner details are provided). If any of these are unacceptable, do not enable the skill or supply content you consider sensitive.
功能分析
Type: OpenClaw Skill
Name: text-to-video-hindi
Version: 1.0.0
The skill bundle provides a functional integration for a Hindi text-to-video service via the nemovideo.ai API. It includes detailed instructions for the AI agent to handle authentication (using NEMO_TOKEN or anonymous UUIDs), session management, file uploads, and video rendering workflows. All identified behaviors, including network requests to mega-api-prod.nemovideo.ai and the handling of user-provided media, are consistent with the stated purpose of creating AI-generated videos and do not exhibit signs of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
The name/description (text→video Hindi) matches the runtime instructions: calls to a nemo video API, upload endpoints, SSE-based generation, credits and export endpoints. The declared primaryEnv (NEMO_TOKEN) is appropriate for authenticating to that backend. Minor mismatch: registry metadata earlier listed no configPaths, but the skill frontmatter references a config path (~/.config/nemovideo/) — this is plausible for a client but should be expected/noted.
Instruction Scope
Instructions are focused on creating sessions, sending messages, uploading files, and exporting results. They explicitly instruct generating an anonymous token if NEMO_TOKEN is not set, storing session_id and token for subsequent calls, and including attribution headers on every request. This stays within the service's scope, but it does involve: (a) obtaining and persisting a token on the user's behalf, and (b) sending user files to an external API. The SKILL.md also instructs not to display raw API responses or token values to users, which is reasonable but worth noting because it can hide debug data.
Install Mechanism
Instruction-only skill with no install step and no code files — lowest install risk. No downloads or package installs are specified.
Credentials
The skill only requires a single environment variable (NEMO_TOKEN), which maps to the backend API; that's proportionate. The frontmatter also references a config path (~/.config/nemovideo/), which could indicate the skill may read or write local config — the SKILL.md does not explicitly instruct scanning other system credentials. The runtime flow will generate and store an anonymous token if none is provided; users should be aware that tokens are created and persisted (and that anonymous tokens grant limited credits and expire in 7 days per the docs).
Persistence & Privilege
always is false and the skill is user-invocable; it does not request permanent platform-wide privileges or modification of other skills. The skill does instruct storing session_id and the NEMO_TOKEN locally for subsequent requests, which is normal for a service client but worth noting for data retention and security posture.
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-hindi - 安装完成后，直接呼叫该 Skill 的名称或使用
/text-to-video-hindi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 of Text to Video Hindi skill: convert Hindi text/scripts into videos with visuals and voiceover.
- Supports uploading TXT, DOCX, PDF, SRT files up to 200MB and generates AI-powered videos automatically.
- Quick setup with free credits—automatically creates/authenticates sessions on first use.
- Handles exports, credits, uploads, and timeline previews with simple user commands.
- Rendered videos available in MP4 and other popular formats, processed in about 1–2 minutes per clip.
- Includes robust error handling and tips for fastest, most accurate results.
元数据
常见问题
Text To Video Hindi 是什么？
Skip the learning curve of professional editing software. Describe what you want — हिंदी टेक्स्ट से वीडियो बनाओ with matching visuals and voiceover — and get... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 87 次。
如何安装 Text To Video Hindi？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install text-to-video-hindi」即可一键安装，无需额外配置。
Text To Video Hindi 是免费的吗？
是的，Text To Video Hindi 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Text To Video Hindi 支持哪些平台？
Text To Video Hindi 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 Hindi？
由 francemichaell-15（@francemichaell-15）开发并维护，当前版本 v1.0.0。
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