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vcarolxhberger

Video Hindi Ai

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
43
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-hindi-ai
功能描述
Turn a 3-minute YouTube video in Hindi into 1080p Hindi captioned videos just by typing what you need. Whether it's adding Hindi subtitles to videos using AI...
安全使用建议
What to consider before installing: - Trust the backend: the skill will upload your videos and use a token for all requests to https://mega-api-prod.nemovideo.ai. Only proceed if you trust that service's privacy and retention policies. - Token behavior: the skill will use NEMO_TOKEN from your environment if present; otherwise it will obtain an anonymous token by calling the auth endpoint. If you don't want automatic token creation, do not provide the skill with shell access that can create/persist tokens. - Local file access: the skill intends to read its own SKILL.md frontmatter and check common install/config paths (~/.config/nemovideo/, ~/.clawhub/, ~/.cursor/skills/) to set an attribution header. These filesystem reads are not declared in the registry summary and are not strictly necessary for subtitle work — decide whether you're comfortable with that. - Minimal red flags, but exercise caution: metadata inconsistencies and the undeclared filesystem checks make this suspicious rather than clearly benign. If you plan to use it, verify the service domain, consider providing your own scoped NEMO_TOKEN (with limited permissions/expiry), and avoid installing in high-trust environments until you confirm the backend's policies.
功能分析
Type: OpenClaw Skill Name: video-hindi-ai Version: 1.0.0 The video-hindi-ai skill is a legitimate integration for a cloud-based video processing service hosted at nemovideo.ai. It provides instructions for an AI agent to manage authentication via the NEMO_TOKEN, upload video files, and handle asynchronous rendering tasks. The behavior is strictly aligned with its stated purpose of generating Hindi subtitles, and it lacks indicators of malicious intent, such as exfiltrating unrelated sensitive data or executing unauthorized system commands.
能力评估
Purpose & Capability
The skill claims to run video subtitle generation via a cloud render backend and the SKILL.md exclusively targets API calls to mega-api-prod.nemovideo.ai using an API token. Requiring a NEMO_TOKEN and calling the described endpoints is proportional to the stated purpose. However, the skill frontmatter also lists configPaths (~/.config/nemovideo/) and an install-path detection mechanism (checking ~/.clawhub/ and ~/.cursor/skills/) that are not reflected in the registry summary (which reported no required config paths). This mismatch is a coherence issue (metadata mismatch) but not itself a direct malicious signal.
Instruction Scope
The runtime instructions will: read NEMO_TOKEN from the environment (expected), POST to the backend to create an anonymous token if none exists (also documented), upload user video files, and poll/export results. In addition, the skill instructs the agent to read this skill file's YAML frontmatter at runtime and to detect install paths in the user's home to set X-Skill-Platform — those steps require reading local file paths and the SKILL.md content. Reading local install/config paths is not strictly required for subtitle generation and was not declared in the registry metadata; this broader filesystem access is a scope creep and should be acknowledged before use.
Install Mechanism
This is an instruction-only skill with no install spec and no code files, so nothing is written to disk by an installer. That is the lowest install risk.
Credentials
The skill requests a single credential (NEMO_TOKEN) which is proportional to a cloud backend client. The SKILL.md also describes a flow to obtain an anonymous token from the backend if NEMO_TOKEN is not present (the agent POSTs to /api/auth/anonymous-token and uses the returned data.token). That behavior is reasonable for an anonymous usage flow but means the skill will contact an external auth endpoint and store/use the returned token for all subsequent requests. The SKILL.md also references reading install/config paths and local frontmatter (not declared as required in the registry summary), which expands the environment/data it touches beyond just the NEMO_TOKEN.
Persistence & Privilege
The skill does not request always:true, no install scripts, and no system-level configuration changes are indicated. It keeps session tokens for the runtime session only (as needed). Autonomous invocation is allowed (platform default) but not combined with unusual persistence or system-wide changes.
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 video-hindi-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-hindi-ai 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 Video Hindi AI. - Generate 1080p Hindi captioned videos from short Hindi video clips, including automated subtitle creation. - Simple workflow: upload your clip, describe your edits, and download the processed video in 30–60 seconds. - Handles common requests such as adding subtitles, exporting videos, checking credits, and tracking editing state. - Supports multiple video, audio, and image formats with a max file size of 500MB. - Automatic cloud backend setup, session management, and error handling for seamless use.
元数据
Slug video-hindi-ai
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

Video Hindi Ai 是什么?

Turn a 3-minute YouTube video in Hindi into 1080p Hindi captioned videos just by typing what you need. Whether it's adding Hindi subtitles to videos using AI... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 43 次。

如何安装 Video Hindi Ai?

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

Video Hindi Ai 是免费的吗?

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

Video Hindi Ai 支持哪些平台?

Video Hindi Ai 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 Video Hindi Ai?

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

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