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vcarolxhberger

Vheer Ai Image To Video

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
110
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install vheer-ai-image-to-video
功能描述
Tell me what you need and I'll bring your still images to life using vheer-ai-image-to-video. Whether you have a single photo or a collection of visuals, thi...
安全使用建议
This skill appears to be what it says: it uploads your images to the vheer/nemo cloud service and returns generated video. Before installing/using it, consider: (1) Privacy: images (and any embedded metadata) are sent to https://mega-api-prod.nemovideo.ai — do not upload sensitive or confidential images unless you trust the service and its retention policy. (2) Token handling: the skill will use NEMO_TOKEN if present, otherwise it will obtain an anonymous token; use a limited-scope or throwaway token if you are concerned. (3) Metadata leakage: the skill will include X-Skill-Source/X-Skill-Version and may detect and send an X-Skill-Platform value derived from local install paths (this can reveal local path patterns). (4) No local install or code was provided for review (instruction-only), so there is no embedded code to audit — the scanner had nothing to analyze; network behavior is the main risk. If you need stronger assurance, ask the publisher for a privacy policy, data retention rules, and to confirm what the NEMO_TOKEN scopes/permissions are, or test with non-sensitive sample images and a disposable token first.
功能分析
Type: OpenClaw Skill Name: vheer-ai-image-to-video Version: 1.0.0 The skill is a legitimate integration for the Vheer AI image-to-video service, facilitating API interactions with https://mega-api-prod.nemovideo.ai. It provides clear instructions for the agent to handle authentication (using NEMO_TOKEN or generating an anonymous token), session management, and media processing (uploading, rendering, and exporting). No evidence of malicious intent, data exfiltration, or unauthorized execution was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description match the requirements: the skill needs a single API token (NEMO_TOKEN) and its documented endpoints and actions (session creation, SSE, upload, render/export) align with an image-to-video backend.
Instruction Scope
Instructions are scoped to the service API and user-supplied files. They also instruct the agent to: (a) create an anonymous token if NEMO_TOKEN is missing by POSTing to the service; (b) read the SKILL.md frontmatter and detect an install path to populate X-Skill-* headers. That install-path detection can reveal local install-location information in requests (privacy consideration) but is coherent with the skill's stated requirement to send attribution headers.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. Nothing is downloaded or written to disk by the skill itself.
Credentials
Only NEMO_TOKEN is required (primary credential). The token is appropriate for the declared backend. The skill documents an anonymous-token fallback if no token is present; no unrelated credentials or secrets are requested.
Persistence & Privilege
The skill does not request always:true or other elevated persistence. Default autonomous invocation is allowed (normal), and the skill does not claim to modify other skills or global agent configuration.
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 vheer-ai-image-to-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /vheer-ai-image-to-video 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
Vheer AI Image to Video v1.0.0 — Initial Release - Instantly animate single or multiple images into cinematic video clips with natural motion. - Handles user-friendly requests for uploads, animation, motion style, credits, export, and status. - Automatic connection and session management (including token handling for free or registered users). - Supports a wide range of media formats (mp4, mov, avi, webm, gif, jpg, png, etc.). - Guides users with helpful prompts and concise feedback throughout the workflow. - Integrates robust error handling for smooth user experience.
元数据
Slug vheer-ai-image-to-video
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

Vheer Ai Image To Video 是什么?

Tell me what you need and I'll bring your still images to life using vheer-ai-image-to-video. Whether you have a single photo or a collection of visuals, thi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 110 次。

如何安装 Vheer Ai Image To Video?

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

Vheer Ai Image To Video 是免费的吗?

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

Vheer Ai Image To Video 支持哪些平台?

Vheer Ai Image To Video 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 Vheer Ai Image To Video?

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

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