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vcarolxhberger

Video Generative

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
78
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install video-generative
功能描述
Get AI-generated video clips ready to post, without touching a single slider. Upload your text prompts or images (MP4, MOV, PNG, JPG, up to 200MB), say somet...
安全使用建议
This skill will send your prompts and uploaded media files (up to ~200MB) to a third-party domain (mega-api-prod.nemovideo.ai) and will automatically request an anonymous token if none is present. Before installing: 1) Confirm you trust nemovideo.ai to receive your media and prompts. 2) Prefer supplying your own NEMO_TOKEN manually rather than letting the skill auto-obtain one if you want control. 3) Ask the author how/where session tokens are stored and whether uploads or metadata are retained beyond the job's lifetime. 4) Note the SKILL.md mentions a local config path and deriving platform from install paths — if you’re worried about privacy, restrict the agent’s file-system access or don’t install. If you need absolute assurance, request a signed/official endpoint, clearer metadata about config paths, and explicit user consent steps before any network upload.
功能分析
Type: OpenClaw Skill Name: video-generative Version: 1.0.0 The skill provides a functional integration for AI video generation using the nemovideo.ai API. It contains detailed instructions for the agent to manage authentication (including anonymous token acquisition), session handling, and media processing workflows. While it includes logic for the agent to identify its host platform (e.g., Cursor or Clawhub) for API attribution headers, there is no evidence of data exfiltration, malicious execution, or harmful prompt injection. All network activity is directed to the stated service domain (mega-api-prod.nemovideo.ai).
能力评估
Purpose & Capability
Requesting a single service token (NEMO_TOKEN) and calling a remote video-render API aligns with a video-generation skill. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) that the registry metadata did not list, and the skill instructs deriving X-Skill-Platform from local install paths (e.g., ~/.clawhub/, ~/.cursor/skills/) — both suggest access to local paths or environment information that is not fully reflected in the declared requirements.
Instruction Scope
The runtime instructions tell the agent to automatically connect to the external API when a user first opens the skill and to automatically obtain an anonymous token if NEMO_TOKEN is not present. It also tells the agent to 'keep setup communication brief' and 'don't display raw API responses or token values to the user.' Automatic network calls and token generation (and the instruction to hide responses) are surprising behaviors: users may not expect the skill to contact a third-party and upload files (up to 200MB) without explicit, visible consent. The SKILL.md also instructs scanning SSE streams, polling state, and deriving headers from local install paths — all of which broaden the agent's duties beyond simple prompt-to-upload flow.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. That minimizes on-disk risk — nothing is being downloaded or extracted by the skill itself.
Credentials
Only one environment variable is declared (NEMO_TOKEN), which is proportionate to calling an authenticated rendering API. However, the YAML frontmatter inside SKILL.md includes a configPaths entry (~/.config/nemovideo/) that was not declared in the registry metadata; this mismatch could indicate incomplete metadata or an expectation that the skill will read or write that path.
Persistence & Privilege
The skill is not marked always:true and does not request to modify other skills or system-wide settings. The main persistent behavior is holding a session_id for ongoing API calls and the guidance to store it for subsequent requests; how and where that is stored is unspecified but likely ephemeral per-agent-session.
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-generative
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /video-generative 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-generative skill — create AI-generated videos from text or image prompts. - Generate 1080p video clips from text prompts or uploaded images (MP4, MOV, PNG, JPG, up to 200MB). - Simple setup: automatic connection and token generation with 100 free credits for first-time users. - Supports direct file uploads, prompt-based generation, credit checks, and export/download workflows. - Clearly defined error handling for authentication, file limits, and rate limits. - Designed for content creators and marketers to quickly produce video content without editing experience.
元数据
Slug video-generative
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 Generative 是什么?

Get AI-generated video clips ready to post, without touching a single slider. Upload your text prompts or images (MP4, MOV, PNG, JPG, up to 200MB), say somet... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 78 次。

如何安装 Video Generative?

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

Video Generative 是免费的吗?

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

Video Generative 支持哪些平台?

Video Generative 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 Generative?

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

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